all_times
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- All times of attempted reconstruction (time base A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Time of reconstruction
- mds_name :
- \\TOP.ANALYSED.EFM:ALL_TIMES
- name :
- efm/all_times
- quality :
- Not Checked
- rank :
- 1
- shape :
- [64]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_ALL_TIMES
- units :
- s
- uuid :
- b7d2df9a-4fb1-5174-9350-8eadc6d3544e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
areap_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Poloidal area enclosed by flux surface; f(psin, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- pol area of surfaces
- mds_name :
- \\TOP.ANALYSED.EFM:AREAP_C
- name :
- efm/areap_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_AREAP_(C)
- units :
- m ** 2
- uuid :
- cda04872-e742-5145-86c0-e3fb6c3828eb
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
betan
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Normalised beta, efm_betat * | plasma minor radius (m) * vacuum toroidal B field at magnetic axis (T) / plasma current (MA) |; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- betat/(I/ a Bvac_geom)
- mds_name :
- \\TOP.ANALYSED.EFM:BETAN
- name :
- efm/betan
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BETAN
- units :
- T
- uuid :
- c0db4373-b67d-51c5-8c42-ba1f42d47461
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
betap
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Poloidal beta, volume-averaged pressure * 2 * mu_0 / <Bp>^2, Bp = averaged poloidal B field around LCFS (T), mu_0*I_plasma/integral(dl); f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Poloidal Beta
- mds_name :
- \\TOP.ANALYSED.EFM:BETAP
- name :
- efm/betap
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BETAP
- units :
- uuid :
- 509acbb3-d182-5a9d-9a62-e95e36587d07
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
betapd
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Poloidal beta computed using diamagnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Poloidal Diamagnetic Bet
- mds_name :
- \\TOP.ANALYSED.EFM:BETAPD
- name :
- efm/betapd
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BETAPD
- units :
- uuid :
- b368f633-dd58-5fc0-b5ae-ad89e1ad3a03
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
betat
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Toroidal beta, volume-averaged pressure * 2 * mu_0 / Bphi^2, Bphi = vacuum toroidal B field at magnetic axis (T); f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Toroidal Beta
- mds_name :
- \\TOP.ANALYSED.EFM:BETAT
- name :
- efm/betat
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BETAT
- units :
- %
- uuid :
- 31cb8e3a-3b82-5189-aeac-51afc7d37598
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
betatd
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Toroidal beta computed using diamagnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Toroidal Diamagnetic Bet
- mds_name :
- \\TOP.ANALYSED.EFM:BETATD
- name :
- efm/betatd
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BETATD
- units :
- uuid :
- cfd99e7d-0996-500a-9ce9-c1049a65cf47
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
bphi_rgeom
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Toroidal B field (total) at geometric axis; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Bphi at rgeom
- mds_name :
- \\TOP.ANALYSED.EFM:BPHI_RGEOM
- name :
- efm/bphi_rgeom
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BPHI_RGEOM
- units :
- T
- uuid :
- 56188c7e-5ed0-58c9-a45e-3956dd976e00
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
bphi_rmag
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Toroidal B field (total) at magnetic axis; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Bphi at rmag
- mds_name :
- \\TOP.ANALYSED.EFM:BPHI_RMAG
- name :
- efm/bphi_rmag
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BPHI_RMAG
- units :
- T
- uuid :
- 30855da8-9b93-5f15-8020-15466cfcdfda
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
bphi_squared
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- plasma volume integral of (total toroidal B field squared); f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Bphi^2 dV
- mds_name :
- \\TOP.ANALYSED.EFM:BPHI_SQUARED
- name :
- efm/bphi_squared
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BPHI_SQUARED
- units :
- T ** 2 * m ** 3
- uuid :
- e267f5cf-2189-5678-9421-009da412c98d
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
bpol_squared
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- plasma volume integral of (total poloidal B field squared); f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Bpol dV
- mds_name :
- \\TOP.ANALYSED.EFM:BPOL_SQUARED
- name :
- efm/bpol_squared
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BPOL_SQUARED
- units :
- T ** 2 * m ** 3
- uuid :
- 34fe2d69-9528-538e-a752-95a72a29c716
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
bvac_r
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Reference radius for efm_bvac_val; f(A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- radius at where B_phi=_b
- mds_name :
- \\TOP.ANALYSED.EFM:BVAC_R
- name :
- efm/bvac_r
- quality :
- Not Checked
- rank :
- 1
- shape :
- [64]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BVAC_R
- units :
- m
- uuid :
- 8a236221-c3d2-5268-91aa-5055de097af1
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
bvac_rgeom
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Vacuum toroidal B field at geometric axis; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Bvac at rgeom
- mds_name :
- \\TOP.ANALYSED.EFM:BVAC_RGEOM
- name :
- efm/bvac_rgeom
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BVAC_RGEOM
- units :
- T
- uuid :
- 5efaa422-e4b9-5390-b2c4-e6cc58c50f97
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
bvac_rmag
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Vacuum toroidal B field at magnetic axis; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Bvac at rmag
- mds_name :
- \\TOP.ANALYSED.EFM:BVAC_RMAG
- name :
- efm/bvac_rmag
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BVAC_RMAG
- units :
- T
- uuid :
- b3d92487-954b-540a-8bdd-ba31aab20633
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
bvac_val
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Reference vacuum toroidal B field at efm_bvac_r; f(A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Vacuum toroidal field at
- mds_name :
- \\TOP.ANALYSED.EFM:BVAC_VAL
- name :
- efm/bvac_val
- quality :
- Not Checked
- rank :
- 1
- shape :
- [64]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_BVAC_VAL
- units :
- T
- uuid :
- 93aa280a-d1fe-518c-8f09-36bfbabe318e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
chisq_magnetic
(time, n_iterations)
float32
dask.array<chunksize=(64, 10), meta=np.ndarray>
- description :
- Magnetic fit total chi-squared for each iteration; f(num_iterations, A)
- dims :
- ['time', 'n_iterations']
- file_name :
- None
- format :
- None
- label :
- Chi**2 (magnetic)
- mds_name :
- \\TOP.ANALYSED.EFM.CHISQ:MAGNETIC
- name :
- efm/chisq_magnetic
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 10]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_CHISQ_MAGNETIC
- units :
- uuid :
- ba60cd4c-f747-5b08-885b-16bd90fa837d
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 2.50 kiB | \n",
" 2.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 10) | \n",
" (64, 10) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
cm_bdry
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Normalised psi at detected boundary surface; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- computed normalized psi_
- mds_name :
- \\TOP.ANALYSED.EFM:CM_BDRY
- name :
- efm/cm_bdry
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_CM_BDRY
- units :
- uuid :
- f9bc58cb-754d-5ded-99f3-7cc4c750ef59
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
cnvrgd_times
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- All times of converged reconstruction (time base B) - identical to EFM_TIME
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Time of reconstruction
- mds_name :
- \\TOP.ANALYSED.EFM:CNVRGD_TIMES
- name :
- efm/cnvrgd_times
- quality :
- Not Checked
- rank :
- 1
- shape :
- [64]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_CNVRGD_TIMES
- units :
- s
- uuid :
- 031cc89b-f777-5d24-aaf2-896a98a7e19f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
current_centrd_r
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- R co-ordinate of current centroid; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- radius of current centro
- mds_name :
- \\TOP.ANALYSED.EFM.CURRENT:CENTRD_R
- name :
- efm/current_centrd_r
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_CURRENT_CENTRD_R
- units :
- m
- uuid :
- 36f75534-498b-57bd-a552-d6a46c2525c5
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
current_centrd_z
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Z co-ordinate of current centroid; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- height of current centro
- mds_name :
- \\TOP.ANALYSED.EFM.CURRENT:CENTRD_Z
- name :
- efm/current_centrd_z
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_CURRENT_CENTRD_Z
- units :
- m
- uuid :
- 8bbf0f75-10c2-5e30-93ca-5ac50ff103b3
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
cutip
()
float32
...
- description :
- Plasma current cut-off; currents below this imply vacuum reconstruction
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Ip threshold current
- mds_name :
- \\TOP.ANALYSED.EFM:CUTIP
- name :
- efm/cutip
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_CUTIP
- units :
- A
- uuid :
- a8ab9ea9-5b86-541d-86b4-54a44a90a82c
- version :
- 0
[1 values with dtype=float32]
diamag_fluxc
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Output (computed) diamagnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Computed Diamagnetic Flu
- mds_name :
- \\TOP.ANALYSED.EFM.DIAMAG_FLUX:C
- name :
- efm/diamag_fluxc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_DIAMAG_FLUX(C)
- units :
- Wb
- uuid :
- 0e65f3a5-c0da-5528-b08b-c50f6328af23
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
diamag_fluxx
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Input (experimental) diamagnetic flux; f(A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Measured Diamagnetic Flu
- mds_name :
- \\TOP.ANALYSED.EFM.DIAMAG_FLUX:X
- name :
- efm/diamag_fluxx
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_DIAMAG_FLUX(X)
- units :
- Wb
- uuid :
- fdd4b47d-e12d-561f-b89e-97acf3312b15
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
elongation
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Elongation of LCFS; (Zmax-Zmin)/(Rmax-Rmin); f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Elongation
- mds_name :
- \\TOP.ANALYSED.EFM:ELONGATION
- name :
- efm/elongation
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_ELONGATION
- units :
- uuid :
- bcc6df16-757c-5a48-a08b-66213b67316c
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
elongation_axis
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Limit of elongation at magnetic axis, from flux differentials; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Elongation on Magnetic A
- mds_name :
- \\TOP.ANALYSED.EFM.ELONGATION_:AXIS
- name :
- efm/elongation_axis
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_ELONGATION_AXIS
- units :
- uuid :
- d1854228-74d4-57f9-b79a-2503d35ded47
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
elongpsi_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Elongation of flux surfaces; f(psin, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- elongation of surfaces
- mds_name :
- \\TOP.ANALYSED.EFM:ELONG_PSI_C
- name :
- efm/elongpsi_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_ELONG(PSI)_(C)
- units :
- uuid :
- 1e600730-9338-5d94-8f7c-29ffebc3863c
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_ang1
(fcoil_seg_n)
float32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- Defining angular skew of first type for each f-coil element; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil Angle 1
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_ANG1
- name :
- efm/fcoil_ang1
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_ANG1
- units :
- deg
- uuid :
- 6942ccc3-610d-5f4d-8a85-ebe7f9ff2800
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_ang2
(fcoil_seg_n)
float32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- Defining angular skew of second type for each f-coil element; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil Angle 2
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_ANG2
- name :
- efm/fcoil_ang2
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_ANG2
- units :
- deg
- uuid :
- 9334660c-125d-5dd8-be46-4af1803ef64e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_c
(time, fcoil_n)
float32
dask.array<chunksize=(64, 101), meta=np.ndarray>
- description :
- Output (computed) fitted toroidal currents; f(nfcoil, A)
- dims :
- ['time', 'fcoil_n']
- file_name :
- None
- format :
- None
- label :
- Computed f-coil current
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_C
- name :
- efm/fcoil_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 101]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_(C)
- units :
- A
- uuid :
- 88d8d3ed-53e1-512e-b37b-d57d2b097292
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
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" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 25.25 kiB | \n",
" 25.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 101) | \n",
" (64, 101) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_chisq
(time, fcoil_n)
float32
dask.array<chunksize=(64, 101), meta=np.ndarray>
- description :
- Chi-squared of each fitted f-coil; f(nfcoil, A)
- dims :
- ['time', 'fcoil_n']
- file_name :
- None
- format :
- None
- label :
- Chi**2 of each f-coil
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_CHISQ
- name :
- efm/fcoil_chisq
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 101]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_CHISQ
- units :
- uuid :
- 512a9812-48cc-528f-9af9-4b633366ec9d
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 25.25 kiB | \n",
" 25.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 101) | \n",
" (64, 101) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_circ
(fcoil_seg_n)
int32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- Circuit number of each f-coil element; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil circuit
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_CIRC
- name :
- efm/fcoil_circ
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_CIRC
- units :
- uuid :
- 55b009a2-d6a4-534c-8da1-a04dd6ecb1eb
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" int32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_height
(fcoil_seg_n)
float32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- Z extent of each f-coil element; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil Height
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_HEIGHT
- name :
- efm/fcoil_height
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_HEIGHT
- units :
- m
- uuid :
- cda552cd-454d-5b4c-8783-f299242be50d
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_r
(fcoil_seg_n)
float32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- R centroid of each f-coil element; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil Location Radius
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_R
- name :
- efm/fcoil_r
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_R
- units :
- m
- uuid :
- 0fe95de9-0141-5d40-9b5f-016adba85b5e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_turns
(fcoil_seg_n)
float32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- Number of turns represented by each f-coil elements; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil turns
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_TURNS
- name :
- efm/fcoil_turns
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_TURNS
- units :
- deg
- uuid :
- 6baebdf3-512d-552e-bde1-71876bf5885c
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_width
(fcoil_seg_n)
float32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- R extent of each f-coil element; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil Width
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_WIDTH
- name :
- efm/fcoil_width
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_WIDTH
- units :
- m
- uuid :
- f3afe543-951e-5023-a156-164e78d05458
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_x
(time, fcoil_n)
float32
dask.array<chunksize=(64, 101), meta=np.ndarray>
- description :
- Input (experimental) fitted toroidal currents; f(nfcoil, A)
- dims :
- ['time', 'fcoil_n']
- file_name :
- None
- format :
- None
- label :
- Measured f-coil current
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_X
- name :
- efm/fcoil_x
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 101]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_(X)
- units :
- A
- uuid :
- 42b92f1d-3050-5101-a821-a717b44db81f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 25.25 kiB | \n",
" 25.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 101) | \n",
" (64, 101) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_xmult
(fcoil_seg_n)
float32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- Multiplier for each f-coil element to weight current within coil, e.g. by area; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil turns multiplier
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_XMULT
- name :
- efm/fcoil_xmult
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_XMULT
- units :
- deg
- uuid :
- 72c999a4-3312-572d-9eab-a7e484696661
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcoil_z
(fcoil_seg_n)
float32
dask.array<chunksize=(938,), meta=np.ndarray>
- description :
- Z centroid of each f-coil element; f(fcoil_segs_n)
- dims :
- ['fcoil_seg_n']
- file_name :
- None
- format :
- None
- label :
- f-Coil Location Height
- mds_name :
- \\TOP.ANALYSED.EFM:FCOIL_Z
- name :
- efm/fcoil_z
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 938]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCOIL_Z
- units :
- m
- uuid :
- 88b774bc-3b72-52c9-a8b1-8721c0d241ab
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.66 kiB | \n",
" 3.66 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (938,) | \n",
" (938,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fcurbd
()
float32
...
- description :
- ff' polynomial fit boundary condition; 1 for zero at psin=1, 0 for free
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- FFprime Boundary Conditi
- mds_name :
- \\TOP.ANALYSED.EFM:FCURBD
- name :
- efm/fcurbd
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FCURBD
- units :
- uuid :
- c0bc5583-fc0d-5178-a9e5-568fbb8f7ac8
- version :
- 0
[1 values with dtype=float32]
ffprime
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- ff' profile; f(npsi, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- ffprime (centre to edge)
- mds_name :
- \\TOP.ANALYSED.EFM:FFPRIME
- name :
- efm/ffprime
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FFPRIME
- units :
- T-rad
- uuid :
- 729dd97f-a12c-5e34-b962-d66f44ef306b
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
ffprime_coefs
(time, ffprime_coefs_n)
float32
dask.array<chunksize=(64, 2), meta=np.ndarray>
- description :
- Coefficients of ff' profile representation
- dims :
- ['time', 'ffprime_coefs_n']
- file_name :
- None
- format :
- None
- label :
- FFPrime Coefs
- mds_name :
- \\TOP.ANALYSED.EFM.FFPRIME_:COEFS
- name :
- efm/ffprime_coefs
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 2]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FFPRIME_COEFS
- units :
- uuid :
- 43ae35d0-7c31-5853-8b2f-aa2f368e9e9f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 512 B | \n",
" 512 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 2) | \n",
" (64, 2) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
final_chisq
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Total chi-squared of fit; f(A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Chi**2 (magnetic)
- mds_name :
- \\TOP.ANALYSED.EFM:FINAL_CHISQ
- name :
- efm/final_chisq
- quality :
- Not Checked
- rank :
- 1
- shape :
- [64]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FINAL_CHISQ
- units :
- uuid :
- d2ab7586-6417-517f-8fd6-8579e32ab6a9
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fpsi_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Poloidal current flux function, f=R*Bphi; f(psin, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- computed f=R*B (centre t
- mds_name :
- \\TOP.ANALYSED.EFM:F_PSI_C
- name :
- efm/fpsi_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_F(PSI)_(C)
- units :
- T-m
- uuid :
- 295574ab-d34d-501d-ae8d-5e3936a38fc2
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fwtbdry
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Fit weights for LCFS position constraint
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- fwtpre
- mds_name :
- \\TOP.ANALYSED.EFM:FWTBDRY
- name :
- efm/fwtbdry
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FWTBDRY
- units :
- uuid :
- 7a0cbc6d-f993-599a-9ccb-866866f5a503
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fwtbp
()
float32
...
- description :
- Flag to make p' and ff' proportional
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- PPrime and FFPrime Propo
- mds_name :
- \\TOP.ANALYSED.EFM:FWTBP
- name :
- efm/fwtbp
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FWTBP
- units :
- uuid :
- 85759ea5-4c77-5cef-b1f1-d93a8673fd95
- version :
- 0
[1 values with dtype=float32]
fwtfc
(time, fcoil_n)
float32
dask.array<chunksize=(64, 101), meta=np.ndarray>
- description :
- f-coil circuit fit weights; f(fcoil_n)
- dims :
- ['time', 'fcoil_n']
- file_name :
- None
- format :
- None
- label :
- fit weight of f-coils
- mds_name :
- \\TOP.ANALYSED.EFM:FWTFC
- name :
- efm/fwtfc
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 101]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FWTFC
- units :
- uuid :
- 004b5907-3080-522c-a673-0a7d19c4b340
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 25.25 kiB | \n",
" 25.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 101) | \n",
" (64, 101) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fwtmp
(time, mag_probe_n)
float32
dask.array<chunksize=(64, 78), meta=np.ndarray>
- description :
- Magnetic detector fit weights; f(magpr_n)
- dims :
- ['time', 'mag_probe_n']
- file_name :
- None
- format :
- None
- label :
- fit weight of mag signal
- mds_name :
- \\TOP.ANALYSED.EFM:FWTMP
- name :
- efm/fwtmp
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 78]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FWTMP
- units :
- uuid :
- 4386803e-5d35-528f-a009-99cdbf472b1a
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 19.50 kiB | \n",
" 19.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 78) | \n",
" (64, 78) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
fwtsi
(time, psi_loop_n)
float32
dask.array<chunksize=(64, 46), meta=np.ndarray>
- description :
- Flux loop fit weights; f(silop_n)
- dims :
- ['time', 'psi_loop_n']
- file_name :
- None
- format :
- None
- label :
- fit weight of flux loop
- mds_name :
- \\TOP.ANALYSED.EFM:FWTSI
- name :
- efm/fwtsi
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 46]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_FWTSI
- units :
- uuid :
- 6c6f4ba4-6530-509b-a0a0-b898b88ae2e2
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 11.50 kiB | \n",
" 11.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 46) | \n",
" (64, 46) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
geom_axis_rc
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- R of geometric axis of plasma; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Geometric Axis Radius
- mds_name :
- \\TOP.ANALYSED.EFM.GEOM_AXIS:R_C
- name :
- efm/geom_axis_rc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_GEOM_AXIS_R(C)
- units :
- m
- uuid :
- 32abfece-8a73-5b9a-bd32-915602c2504f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
geom_axis_zc
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Z of geometric axis of plasma; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Geometric Axis Height
- mds_name :
- \\TOP.ANALYSED.EFM.GEOM_AXIS:Z_C
- name :
- efm/geom_axis_zc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_GEOM_AXIS_Z(C)
- units :
- m
- uuid :
- 447d2d04-0300-5a44-9912-7aaf5256455e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
gridr
(r)
float32
dask.array<chunksize=(65,), meta=np.ndarray>
- description :
- R grid for 2D outputs; f(nr)
- dims :
- ['r']
- file_name :
- None
- format :
- None
- label :
- r-coordinates of computa
- mds_name :
- \\TOP.ANALYSED.EFM:GRID_R
- name :
- efm/gridr
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_GRID(R)
- units :
- m
- uuid :
- 8848940c-90c5-55df-9c77-35fdf3a603a4
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 260 B | \n",
" 260 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (65,) | \n",
" (65,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
gridz
(z)
float32
dask.array<chunksize=(65,), meta=np.ndarray>
- description :
- Z grid for 2D outputs; f(nz)
- dims :
- ['z']
- file_name :
- None
- format :
- None
- label :
- z-coordinates of computa
- mds_name :
- \\TOP.ANALYSED.EFM:GRID_Z
- name :
- efm/gridz
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_GRID(Z)
- units :
- m
- uuid :
- cbc01f56-14cc-5be2-b354-a44abf5abb40
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 260 B | \n",
" 260 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (65,) | \n",
" (65,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
ip_times
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- All times of attempted reconstruction for which plasma is present (time base C)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Time of reconstruction
- mds_name :
- \\TOP.ANALYSED.EFM:IP_TIMES
- name :
- efm/ip_times
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_IP_TIMES
- units :
- s
- uuid :
- 28913cd6-ffdc-57e1-8e42-9e8fb1f57044
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
irod
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Toroidal rod current; f(A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- toroidal rod current
- mds_name :
- \\TOP.ANALYSED.EFM:IROD
- name :
- efm/irod
- quality :
- Not Checked
- rank :
- 1
- shape :
- [64]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_IROD
- units :
- A-T
- uuid :
- 31ffb6f2-be4f-563e-a7bb-1a853f089cd2
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
iteration_error
(time, n_iterations)
float32
dask.array<chunksize=(64, 10), meta=np.ndarray>
- description :
- Goodness of convergence criterion for each iteration; f(num_iterations, B)
- dims :
- ['time', 'n_iterations']
- file_name :
- None
- format :
- None
- label :
- Iteration error
- mds_name :
- \\TOP.ANALYSED.EFM.ITERATION:ERROR
- name :
- efm/iteration_error
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 10]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_ITERATION_ERROR
- units :
- uuid :
- 890879c4-0a3d-5de0-8144-f9e4233819ad
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 2.50 kiB | \n",
" 2.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 10) | \n",
" (64, 10) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
jr
(time, profile_r)
float32
dask.array<chunksize=(64, 129), meta=np.ndarray>
- description :
- Toroidal plasma current density at Z=0 running from inboard to outboard in R; f(nr, B)
- dims :
- ['time', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- Jphi(r) at z=0.
- mds_name :
- \\TOP.ANALYSED.EFM:J_R
- name :
- efm/jr
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_J(R)
- units :
- uuid :
- e785cb91-61ba-5363-8aa7-fd2e66fb1b4e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 32.25 kiB | \n",
" 32.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 129) | \n",
" (64, 129) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
kffcur
()
int32
...
- description :
- Number of ff' coefficients
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Number of FFprime Coefs
- mds_name :
- \\TOP.ANALYSED.EFM:KFFCUR
- name :
- efm/kffcur
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_KFFCUR
- units :
- uuid :
- 6aacce3c-9816-5036-8fc1-c612ae201c7d
- version :
- 0
[1 values with dtype=int32]
kfffnc
()
int32
...
- description :
- ff' basis function type
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Basis Function Number fo
- mds_name :
- \\TOP.ANALYSED.EFM:KFFFNC
- name :
- efm/kfffnc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_KFFFNC
- units :
- uuid :
- 2e2872a1-a56b-5f26-aeaa-062d86c8f99a
- version :
- 0
[1 values with dtype=int32]
kppcur
()
int32
...
- description :
- Number of p' coefficients
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Number of PPrime Coefs
- mds_name :
- \\TOP.ANALYSED.EFM:KPPCUR
- name :
- efm/kppcur
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_KPPCUR
- units :
- uuid :
- 42652d41-1a2b-57a1-96f8-c992dc0a7a1d
- version :
- 0
[1 values with dtype=int32]
kppfnc
()
int32
...
- description :
- p' basis function type
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Basis Function Number fo
- mds_name :
- \\TOP.ANALYSED.EFM:KPPFNC
- name :
- efm/kppfnc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_KPPFNC
- units :
- uuid :
- 3956ffcf-a0d9-519b-b3d0-9dae3bc12dc4
- version :
- 0
[1 values with dtype=int32]
kwwcur
()
int32
...
- description :
- Number of pw' coefficients
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Number of P(Rot) Coefs
- mds_name :
- \\TOP.ANALYSED.EFM:KWWCUR
- name :
- efm/kwwcur
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_KWWCUR
- units :
- uuid :
- 2a44700a-7b6c-549b-8a33-371aebecea0d
- version :
- 0
[1 values with dtype=int32]
kwwfnc
()
int32
...
- description :
- pw' basis function type
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Basis Function Number fo
- mds_name :
- \\TOP.ANALYSED.EFM:KWWFNC
- name :
- efm/kwwfnc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_KWWFNC
- units :
- uuid :
- 00f8b868-d0af-5c1e-b6f3-5764c56b55eb
- version :
- 0
[1 values with dtype=int32]
lcfs_length
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Length of poloidal cross-section of LCFS; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- length of lcfs
- mds_name :
- \\TOP.ANALYSED.EFM:LCFS_LENGTH
- name :
- efm/lcfs_length
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_LCFS_LENGTH
- units :
- m
- uuid :
- d663ddf5-7aa2-546f-94b0-ec9dbeb0d439
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
lcfs_r
(time, lcfs_coords)
float32
dask.array<chunksize=(64, 147), meta=np.ndarray>
- description :
- LCFS R coordinate values; f(nlcfs, B)
- dims :
- ['time', 'lcfs_coords']
- file_name :
- None
- format :
- None
- label :
- r-coords of separatrix
- mds_name :
- \\TOP.ANALYSED.EFM:LCFS_R_C
- name :
- efm/lcfsr_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 2600]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_LCFS(R)_(C)
- units :
- m
- uuid :
- e5dfae60-bbcc-594f-a009-fe925a30cb56
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 36.75 kiB | \n",
" 36.75 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 147) | \n",
" (64, 147) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
lcfs_z
(time, lcfs_coords)
float32
dask.array<chunksize=(64, 147), meta=np.ndarray>
- description :
- LCFS Z coordinate values; f(nlcfs, B)
- dims :
- ['time', 'lcfs_coords']
- file_name :
- None
- format :
- None
- label :
- z-coords of separatrix
- mds_name :
- \\TOP.ANALYSED.EFM:LCFS_Z_C
- name :
- efm/lcfsz_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 2600]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_LCFS(Z)_(C)
- units :
- m
- uuid :
- b7cccb45-5cb3-574e-9a7e-03248a416f2a
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 36.75 kiB | \n",
" 36.75 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 147) | \n",
" (64, 147) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
lcfsn_c
(time)
float64
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Number of LCFS coordinate points; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- No. of coords on lcfs
- mds_name :
- \\TOP.ANALYSED.EFM:LCFS_N_C
- name :
- efm/lcfsn_c
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_LCFS(N)_(C)
- units :
- uuid :
- 40983563-a4d5-5bd9-add4-e96b36795023
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 512 B | \n",
" 512 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float64 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
li
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Plasma internal inductance, vol avg (Bp^2) / surf avg (Bp)^2; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Plasma Inductance
- mds_name :
- \\TOP.ANALYSED.EFM:LI
- name :
- efm/li
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_LI
- units :
- uuid :
- 8477215a-950b-584e-a482-848eb28d6b6a
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
limiterr
(limiter_n)
float32
dask.array<chunksize=(37,), meta=np.ndarray>
- description :
- R co-ordinates of limiter; f(nlimiter)
- dims :
- ['limiter_n']
- file_name :
- None
- format :
- None
- label :
- Limiter Radius
- mds_name :
- \\TOP.ANALYSED.EFM:LIMITER_R
- name :
- efm/limiterr
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 37]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_LIMITER(R)
- units :
- m
- uuid :
- 73dde2af-4374-51ce-a5a8-fecd9560cba6
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 148 B | \n",
" 148 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (37,) | \n",
" (37,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
limiterz
(limiter_n)
float32
dask.array<chunksize=(37,), meta=np.ndarray>
- description :
- Z co-ordinates of limiter; f(nlimiter)
- dims :
- ['limiter_n']
- file_name :
- None
- format :
- None
- label :
- Limiter Height
- mds_name :
- \\TOP.ANALYSED.EFM:LIMITER_Z
- name :
- efm/limiterz
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 37]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_LIMITER(Z)
- units :
- m
- uuid :
- 2d3888a5-604f-530f-9c1e-f2488b997d0a
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 148 B | \n",
" 148 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (37,) | \n",
" (37,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magnetic_axis_r
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- R co-ordinate of magnetic axis; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Radius of Magnetic Axis
- mds_name :
- \\TOP.ANALYSED.EFM.MAGNETIC:AXIS_R
- name :
- efm/magnetic_axis_r
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGNETIC_AXIS_R
- units :
- m
- uuid :
- dd081d76-7df6-56a5-a87e-8e30403e5283
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magnetic_axis_z
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Z co-ordinate of magnetic axis; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Height of Magnetic Axis
- mds_name :
- \\TOP.ANALYSED.EFM.MAGNETIC:AXIS_Z
- name :
- efm/magnetic_axis_z
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGNETIC_AXIS_Z
- units :
- m
- uuid :
- 3ada1264-043f-58e0-94af-3b2210ddf5f8
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magpr_ang
(mag_probe_n)
float32
dask.array<chunksize=(78,), meta=np.ndarray>
- description :
- Defining angular skew of each magnetic field probe; f(magpr_n_n)
- dims :
- ['mag_probe_n']
- file_name :
- None
- format :
- None
- label :
- Magnetic Probe Angle
- mds_name :
- \\TOP.ANALYSED.EFM:MAGPR_ANG
- name :
- efm/magpr_ang
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 78]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGPR_ANG
- units :
- deg
- uuid :
- cf0344ce-f800-54cb-9c04-c45b65509417
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 312 B | \n",
" 312 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (78,) | \n",
" (78,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magpr_c
(time, mag_probe_n)
float32
dask.array<chunksize=(64, 78), meta=np.ndarray>
- description :
- Output (computed) fitted magnetic field probes; f(magpr_n, A)
- dims :
- ['time', 'mag_probe_n']
- file_name :
- None
- format :
- None
- label :
- Computed magnetic signal
- mds_name :
- \\TOP.ANALYSED.EFM:MAGPR_C
- name :
- efm/magpr_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 78]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGPR_(C)
- units :
- T
- uuid :
- 140c8311-4680-5029-98a5-b37771e66280
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 19.50 kiB | \n",
" 19.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 78) | \n",
" (64, 78) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magpr_len
(mag_probe_n)
float32
dask.array<chunksize=(78,), meta=np.ndarray>
- description :
- Defining length of each magnetic field probe; f(magpr_n_n)
- dims :
- ['mag_probe_n']
- file_name :
- None
- format :
- None
- label :
- Magnetic Probe Length
- mds_name :
- \\TOP.ANALYSED.EFM:MAGPR_LEN
- name :
- efm/magpr_len
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 78]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGPR_LEN
- units :
- m
- uuid :
- 0f4e84d7-9ff5-5641-b9a5-ddfe5b41d99f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 312 B | \n",
" 312 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (78,) | \n",
" (78,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magpr_r
(mag_probe_n)
float32
dask.array<chunksize=(78,), meta=np.ndarray>
- description :
- R of each magnetic field probe; f(magpr_n)
- dims :
- ['mag_probe_n']
- file_name :
- None
- format :
- None
- label :
- Magnetic Probe Location
- mds_name :
- \\TOP.ANALYSED.EFM:MAGPR_R
- name :
- efm/magpr_r
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 78]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGPR_R
- units :
- m
- uuid :
- 53aed4a5-9f8c-5bc0-b9e6-c8893224ea2c
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 312 B | \n",
" 312 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (78,) | \n",
" (78,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magpr_x
(time, mag_probe_n)
float32
dask.array<chunksize=(64, 78), meta=np.ndarray>
- description :
- Input (experimental) fitted magnetic field probes; f(magpr_n, A)
- dims :
- ['time', 'mag_probe_n']
- file_name :
- None
- format :
- None
- label :
- Measured magnetic signal
- mds_name :
- \\TOP.ANALYSED.EFM:MAGPR_X
- name :
- efm/magpr_x
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 78]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGPR_(X)
- units :
- T
- uuid :
- c0ff6e1d-723f-59df-9257-93b1853e397a
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 19.50 kiB | \n",
" 19.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 78) | \n",
" (64, 78) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magpr_z
(mag_probe_n)
float32
dask.array<chunksize=(78,), meta=np.ndarray>
- description :
- Z of each magnetic field probe; f(magpr_n)
- dims :
- ['mag_probe_n']
- file_name :
- None
- format :
- None
- label :
- Magnetic Probe Location
- mds_name :
- \\TOP.ANALYSED.EFM:MAGPR_Z
- name :
- efm/magpr_z
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 78]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGPR_Z
- units :
- m
- uuid :
- d3f6a120-771f-5a5c-b77d-51ba8cf70341
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 312 B | \n",
" 312 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (78,) | \n",
" (78,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
magpri_chisq
(time, mag_probe_n)
float32
dask.array<chunksize=(64, 78), meta=np.ndarray>
- description :
- Chi-squared of each fitted magnetic field probe; f(magpr_n, A)
- dims :
- ['time', 'mag_probe_n']
- file_name :
- None
- format :
- None
- label :
- Chi**2 of each magnetic
- mds_name :
- \\TOP.ANALYSED.EFM:MAGPRI_CHISQ
- name :
- efm/magpri_chisq
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 78]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MAGPRI_CHISQ
- units :
- uuid :
- d75b0d2a-d00b-5708-aa38-12ba81466f52
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 19.50 kiB | \n",
" 19.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 78) | \n",
" (64, 78) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
minor_radius
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Minor radius of plasma; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Minor Radius
- mds_name :
- \\TOP.ANALYSED.EFM:MINOR_RADIUS
- name :
- efm/minor_radius
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_MINOR_RADIUS
- units :
- m
- uuid :
- a221f003-19e0-5589-8378-ab4b55407364
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
nh
()
int32
...
- description :
- Number of vertical grid points
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Number of grid points in
- mds_name :
- \\TOP.ANALYSED.EFM:NH
- name :
- efm/nh
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_NH
- units :
- uuid :
- c68811ac-f71c-57dd-ad68-54d2df6e0075
- version :
- 0
[1 values with dtype=int32]
npress
()
int32
...
- description :
- Number of pressure constraints
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- No. of pressure constrai
- mds_name :
- \\TOP.ANALYSED.EFM:NPRESS
- name :
- efm/npress
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_NPRESS
- units :
- uuid :
- 8c183e04-e4a2-5458-8886-b23cce6fb7d2
- version :
- 0
[1 values with dtype=int32]
num_iterations
(time)
float64
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Number of iterations; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- number of iterations
- mds_name :
- \\TOP.ANALYSED.EFM.NUM:ITERATIONS
- name :
- efm/num_iterations
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_NUM_ITERATIONS
- units :
- uuid :
- d34f53c3-011b-5fe4-aea2-bc2865c179b2
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 512 B | \n",
" 512 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float64 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
nw
()
int32
...
- description :
- Number of horizontal grid points
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Number of grid points in
- mds_name :
- \\TOP.ANALYSED.EFM:NW
- name :
- efm/nw
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_NW
- units :
- uuid :
- 65f6da9a-16a2-56d2-a15b-4b7d100cd164
- version :
- 0
[1 values with dtype=int32]
p2ar_c
(time, profile_r)
float32
dask.array<chunksize=(64, 129), meta=np.ndarray>
- description :
- Non-rotational pressure contribution as a function of radius at Z=0; f(nw, B)
- dims :
- ['time', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- p(r) (non-rotational par
- mds_name :
- \\TOP.ANALYSED.EFM:P2A_R_C
- name :
- efm/p2ar_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_P2A(R)_(C)
- units :
- Pa
- uuid :
- 976a8e19-f85a-5952-aa6f-5e953a4e8594
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 32.25 kiB | \n",
" 32.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 129) | \n",
" (64, 129) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
p2br_c
(time, profile_r)
float32
dask.array<chunksize=(64, 129), meta=np.ndarray>
- description :
- Coefficient of rotational pressure contribution as a function of radius at Z=0; f(nw, B)
- dims :
- ['time', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- pw(r) (rotational part)
- mds_name :
- \\TOP.ANALYSED.EFM:P2B_R_C
- name :
- efm/p2br_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_P2B(R)_(C)
- units :
- Pa
- uuid :
- e339ce02-2da8-5c93-b4de-4db8f03057bf
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 32.25 kiB | \n",
" 32.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 129) | \n",
" (64, 129) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
p2cr_c
(time, profile_r)
float32
dask.array<chunksize=(64, 129), meta=np.ndarray>
- description :
- Rotational pressure contribution as a function of radius at Z=0; f(nw, B)
- dims :
- ['time', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- contribution of pw(r) to
- mds_name :
- \\TOP.ANALYSED.EFM:P2C_R_C
- name :
- efm/p2cr_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_P2C(R)_(C)
- units :
- Pa
- uuid :
- 75054c75-2b83-5320-b11a-d3912e35600f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 32.25 kiB | \n",
" 32.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 129) | \n",
" (64, 129) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
passnumber
()
int32
...
- description :
- MAST scheduler pass number
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- Pass
- mds_name :
- \\TOP.ANALYSED.EFM:PASSNUMBER
- name :
- efm/passnumber
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PASSNUMBER
- units :
- uuid :
- 8d1335f3-b16c-50ba-8c0a-0e67c75a5dca
- version :
- 0
[1 values with dtype=int32]
pcurbd
()
float32
...
- description :
- p' polynomial fit boundary condition; 1 for zero at psin=1, 0 for free
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- PPrime Boundary Conditio
- mds_name :
- \\TOP.ANALYSED.EFM:PCURBD
- name :
- efm/pcurbd
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PCURBD
- units :
- uuid :
- 5f570b49-2b37-5290-a3d7-7e3e15b9df24
- version :
- 0
[1 values with dtype=float32]
plasma_area
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Area of poloidal cross-section of plasma; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Plasma Area
- mds_name :
- \\TOP.ANALYSED.EFM:PLASMA_AREA
- name :
- efm/plasma_area
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PLASMA_AREA
- units :
- m ** 2
- uuid :
- cba97a4d-dd14-535f-a073-4ed8c6f8c137
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
plasma_current_c
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Output (computed) fitted total plasma current; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Computed Plasma Current
- mds_name :
- \\TOP.ANALYSED.EFM.PLASMA_CURR:C
- name :
- efm/plasma_currc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PLASMA_CURR(C)
- units :
- A
- uuid :
- 740b5611-77cc-53be-ad21-de424871e0ce
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
plasma_current_rz
(time, z, r)
float32
dask.array<chunksize=(32, 33, 65), meta=np.ndarray>
- description :
- Plasma current density as a function of R and Z; f(nw, nh, B)
- dims :
- ['time', 'z', 'r']
- file_name :
- None
- format :
- None
- label :
- J(r,z)
- mds_name :
- \\TOP.ANALYSED.EFM.PLASMA_CURR:R_Z
- name :
- efm/plasma_currrz
- quality :
- Not Checked
- rank :
- 3
- shape :
- [53, 65, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PLASMA_CURR(R,Z)
- units :
- A / m ** 2
- uuid :
- 5ec0f335-5ffa-5ca7-93d5-96de6b502716
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 1.03 MiB | \n",
" 268.12 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65, 65) | \n",
" (32, 33, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 4 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
plasma_current_x
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Input (experimental) fitted total plasma current; f(A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Measured Plasma Current
- mds_name :
- \\TOP.ANALYSED.EFM.PLASMA_CURR:X
- name :
- efm/plasma_currx
- quality :
- Not Checked
- rank :
- 1
- shape :
- [64]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PLASMA_CURR(X)
- units :
- A
- uuid :
- 0ea726da-5408-5571-ae9c-09c19d4d90b0
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
plasma_energy
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Plasma thermal energy; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Plasma Thermal Energy:3/
- mds_name :
- \\TOP.ANALYSED.EFM.PLASMA:ENERGY
- name :
- efm/plasma_energy
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PLASMA_ENERGY
- units :
- J
- uuid :
- fc9e39da-b835-5341-afc8-99da9cf8619f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
plasma_volume
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Plasma volume; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Plasma Volume
- mds_name :
- \\TOP.ANALYSED.EFM.PLASMA:VOLUME
- name :
- efm/plasma_volume
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PLASMA_VOLUME
- units :
- m ** 3
- uuid :
- da7eba13-6ac7-5a5a-a778-b87ad1ba5b38
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
pol_length
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Poloidal lengths of flux surfaces as a function of flux; f(psin, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- pol lengths of flux surf
- mds_name :
- \\TOP.ANALYSED.EFM:POL_LENGTH
- name :
- efm/pol_length
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_POL_LENGTH
- units :
- m
- uuid :
- 455da776-f151-5810-b1d4-4311ab40d837
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
pprime
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- p' profile; f(npsi, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- pprime (centre to edge)
- mds_name :
- \\TOP.ANALYSED.EFM:PPRIME
- name :
- efm/pprime
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PPRIME
- units :
- Pa-rad/Wb
- uuid :
- 21825a09-c80c-5056-818b-a11af9f3093e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
pprime_coefs
(time, pprime_coefs_n)
float32
dask.array<chunksize=(64, 2), meta=np.ndarray>
- description :
- p' polynomial coefficients
- dims :
- ['time', 'pprime_coefs_n']
- file_name :
- None
- format :
- None
- label :
- PPrime Coefs
- mds_name :
- \\TOP.ANALYSED.EFM:PPRIME_COEFS
- name :
- efm/pprime_coefs
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 2]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PPRIME_COEFS
- units :
- uuid :
- 5a98f10c-95be-504a-ba03-750f5793ba43
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 512 B | \n",
" 512 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 2) | \n",
" (64, 2) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
pprimew
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Rotational pressure contribution profile; f(nw, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- prpime(rot) (centre to e
- mds_name :
- \\TOP.ANALYSED.EFM:PPRIMEW
- name :
- efm/pprimew
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PPRIMEW
- units :
- Pa-ra/Wb
- uuid :
- c6ed9eae-b2cd-591c-bd3d-e8cc6633a119
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
ppsi_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Pressure as a function of flux surface; f(psin, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- computed press (centre t
- mds_name :
- \\TOP.ANALYSED.EFM:P_PSI_C
- name :
- efm/ppsi_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_P(PSI)_(C)
- units :
- Pa
- uuid :
- 0d710474-d92e-5992-a3d1-c4caf144787f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
pr_c
(time, profile_r)
float32
dask.array<chunksize=(64, 129), meta=np.ndarray>
- description :
- Pressure as a function of radius at Z=0; f(nw, B)
- dims :
- ['time', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- p(r) (total)
- mds_name :
- \\TOP.ANALYSED.EFM:P_R_C
- name :
- efm/pr_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_P(R)_(C)
- units :
- Pa
- uuid :
- 85371d6c-9f6f-5b74-95d1-45770328718c
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 32.25 kiB | \n",
" 32.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 129) | \n",
" (64, 129) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
psi_axis
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Poloidal magnetic flux per toroidal radian at the magnetic axis; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Poloidal flux on axis
- mds_name :
- \\TOP.ANALYSED.EFM:PSI_AXIS
- name :
- efm/psi_axis
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PSI_AXIS
- units :
- Wb / rad
- uuid :
- 6cfc8f31-91bf-5b61-bf45-f343591f5f74
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
psi_boundary
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Poloidal magnetic flux per toroidal radian at the plasma boundary; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Poloidal flux at boundar
- mds_name :
- \\TOP.ANALYSED.EFM:PSI_BOUNDARY
- name :
- efm/psi_boundary
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PSI_BOUNDARY
- units :
- Wb / rad
- uuid :
- 26637893-a225-5955-8178-02b9c355d65f
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
psir
(time, profile_r)
float32
dask.array<chunksize=(64, 129), meta=np.ndarray>
- description :
- Poloidal magnetic flux per toroidal radian as a function of radius at Z=0; f(nw, B)
- dims :
- ['time', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- psi(r) at z=0.
- mds_name :
- \\TOP.ANALYSED.EFM:PSI_R
- name :
- efm/psir
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PSI(R)
- units :
- uuid :
- 93e3561c-98bd-5c1c-abf7-2d2a22b38981
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 32.25 kiB | \n",
" 32.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 129) | \n",
" (64, 129) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
psirz
(time, profile_z, profile_r)
float32
dask.array<chunksize=(32, 33, 65), meta=np.ndarray>
- description :
- Poloidal magnetic flux per toroidal radian as a function of radius and height; f(nw, nh, B)
- dims :
- ['time', 'profile_z', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- psi(r,z)
- mds_name :
- \\TOP.ANALYSED.EFM:PSI_R_Z
- name :
- efm/psirz
- quality :
- Not Checked
- rank :
- 3
- shape :
- [64, 65, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PSI(R,Z)
- units :
- Wb / rad
- uuid :
- 91ea7bbe-13ee-5851-864f-df59228f161e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 2.05 MiB | \n",
" 268.12 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65, 129) | \n",
" (32, 33, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 8 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
pwpsi_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Rotational pressure flux function p_omega as a function of magnetic flux; f(npsi, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- computed rotational pres
- mds_name :
- \\TOP.ANALYSED.EFM:PW_PSI_C
- name :
- efm/pwpsi_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_PW(PSI)_(C)
- units :
- Pa
- uuid :
- b8a7c5db-ad2b-53a8-b885-0ca03ec33139
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
q=1_radius
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- For q=1 surface: (R_max-R_min)/2 at Z=Z_mag; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- radius of q=1 surface
- mds_name :
- \\TOP.ANALYSED.EFM:Q_1_RADIUS
- name :
- efm/q=1_radius
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q=1_RADIUS
- units :
- m
- uuid :
- 12b1f760-a042-511b-878d-f34f789db876
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
q=2_radius
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- For q=2 surface: (R_max-R_min)/2 at Z=Z_mag; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- radius of q=2 surface
- mds_name :
- \\TOP.ANALYSED.EFM:Q_2_RADIUS
- name :
- efm/q=2_radius
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q=2_RADIUS
- units :
- m
- uuid :
- 6b77e0bd-35fd-5291-952c-14d87efb36c2
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
q=3_radius
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- For q=3 surface: (R_max-R_min)/2 at Z=Z_mag; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- radius of q=3 surface
- mds_name :
- \\TOP.ANALYSED.EFM:Q_3_RADIUS
- name :
- efm/q=3_radius
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q=3_RADIUS
- units :
- m
- uuid :
- faa09b4a-f9e3-56a8-8bec-379a5821a585
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
q_100
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Safety factor at 100% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- q at Psi_norm=100%
- mds_name :
- \\TOP.ANALYSED.EFM:Q_100
- name :
- efm/q_100
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q_100
- units :
- uuid :
- 8041cdce-59ec-54f5-9769-6b4fbccb8e8b
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
q_90
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Safety factor at 90% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- q at Psi_norm=90%
- mds_name :
- \\TOP.ANALYSED.EFM:Q_90
- name :
- efm/q_90
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q_90
- units :
- uuid :
- 51ab04a6-35f3-5ebb-8cd9-9bc1be4de4e9
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
q_95
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Safety factor at 95% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- q at Psi_norm=95%
- mds_name :
- \\TOP.ANALYSED.EFM:Q_95
- name :
- efm/q_95
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q_95
- units :
- uuid :
- 18b9439c-e71e-5ce6-b3b4-b9dbe2a08caf
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
q_axis
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Safety factor at the magnetic axis; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- q on Magnetic Axis
- mds_name :
- \\TOP.ANALYSED.EFM:Q_AXIS
- name :
- efm/q_axis
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q_AXIS
- units :
- uuid :
- 2bd0863c-2e4b-535a-b39f-0a7e5e44c5ca
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
qpsi_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Safety factor as a function of magnetic flux; f(npsi, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- q-profile (centre to edg
- mds_name :
- \\TOP.ANALYSED.EFM:Q_PSI_C
- name :
- efm/qpsi_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q(PSI)_(C)
- units :
- uuid :
- 0387c7e0-76d1-5107-bd2c-6292db62098b
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
qr
(time, profile_r)
float32
dask.array<chunksize=(64, 129), meta=np.ndarray>
- description :
- Safety factor as a function of radius at Z=0; f(npsi, B)
- dims :
- ['time', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- q(r) at z=0.
- mds_name :
- \\TOP.ANALYSED.EFM:Q_R
- name :
- efm/qr
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_Q(R)
- units :
- uuid :
- dc5c59c6-c842-5747-98db-d0495738576a
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 32.25 kiB | \n",
" 32.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 129) | \n",
" (64, 129) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
qstar
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- qstar = fvac*(kappa^2+1)/(4e-7 I_p A^2)*(1.24-0.54*kappa+0.3*(kappa^2+triangn^2)+0.13*triangn )*(1 + (1+0.5*(betap+li/2)^2)/A^2); f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- q-star
- mds_name :
- \\TOP.ANALYSED.EFM:QSTAR
- name :
- efm/qstar
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_QSTAR
- units :
- uuid :
- 5d69b017-2bc4-50d9-b998-b30b531dbb48
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rbdry
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Radius of boundary position constraints; f(nbdry, A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- rbdry
- mds_name :
- \\TOP.ANALYSED.EFM:RBDRY
- name :
- efm/rbdry
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_RBDRY
- units :
- m
- uuid :
- 6fcf7493-9ffc-54a5-b8af-00390405aa87
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rpsi100_in
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Inboard radius of 100% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- i/b Rad of lcfs at Mid
- mds_name :
- \\TOP.ANALYSED.EFM:R_PSI100_IN
- name :
- efm/rpsi100_in
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_R(PSI100)_IN
- units :
- m
- uuid :
- c9d75e73-3990-5c0b-be27-968f224e696c
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rpsi100_out
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Outboard radius of 100% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- o/b Rad of lcfs at Mid
- mds_name :
- \\TOP.ANALYSED.EFM:R_PSI100_OUT
- name :
- efm/rpsi100_out
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_R(PSI100)_OUT
- units :
- m
- uuid :
- 5a30e41a-d1a1-5fa5-bada-7367488a5f0e
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rpsi90_in
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Inboard radius of 90% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- i/b Rad of 90%Psi at Mid
- mds_name :
- \\TOP.ANALYSED.EFM:R_PSI90_IN
- name :
- efm/rpsi90_in
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_R(PSI90)_IN
- units :
- m
- uuid :
- 1bf651e5-0abe-5c57-acba-c8d43c8d9123
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rpsi90_out
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Outboard radius of 90% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- o/b Rad of 90%Psi at Mid
- mds_name :
- \\TOP.ANALYSED.EFM:R_PSI90_OUT
- name :
- efm/rpsi90_out
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_R(PSI90)_OUT
- units :
- m
- uuid :
- 55d05ed7-7e40-5c77-b667-44792d2caa43
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rpsi95_in
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Inboard radius of 95% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- i/b Rad of 95%Psi at Mid
- mds_name :
- \\TOP.ANALYSED.EFM:R_PSI95_IN
- name :
- efm/rpsi95_in
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_R(PSI95)_IN
- units :
- m
- uuid :
- 316e719b-be8e-53a9-b685-1718e5a49277
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rpsi95_out
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Outboard radius of 95% normalised magnetic flux; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- o/b Rad of 95%Psi at Mid
- mds_name :
- \\TOP.ANALYSED.EFM:R_PSI95_OUT
- name :
- efm/rpsi95_out
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_R(PSI95)_OUT
- units :
- m
- uuid :
- 3623b161-4b17-53b0-ae72-f753ed33cccc
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rt
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Shafranov integral RT
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- shafranov_integral_RT
- mds_name :
- \\TOP.ANALYSED.EFM:RT
- name :
- efm/rt
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_RT
- units :
- m
- uuid :
- fd127bbd-fba3-5805-9261-4cd3039005cb
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rvals
(time, profile_r)
float32
dask.array<chunksize=(64, 129), meta=np.ndarray>
- description :
- Radial co-ordinates used for radial profiles; f(nw)
- dims :
- ['time', 'profile_r']
- file_name :
- None
- format :
- None
- label :
- R-coords used for radial
- mds_name :
- \\TOP.ANALYSED.EFM:RVALS
- name :
- efm/rvals
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_RVALS
- units :
- uuid :
- 48050b25-9e92-5383-8d90-e4ca0e3e147d
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 32.25 kiB | \n",
" 32.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 129) | \n",
" (64, 129) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
rvtor
()
float32
...
- description :
- Rotational pressure parameter
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- rotational constraint co
- mds_name :
- \\TOP.ANALYSED.EFM:RVTOR
- name :
- efm/rvtor
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_RVTOR
- units :
- uuid :
- 241f7ddc-2c87-50fd-979f-d525aaeb10dc
- version :
- 0
[1 values with dtype=float32]
scalepr
()
float32
...
- description :
- Constant to scale input pressure by
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- pressure scaling factor
- mds_name :
- \\TOP.ANALYSED.EFM:SCALEPR
- name :
- efm/scalepr
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SCALEPR
- units :
- uuid :
- 59c7da09-4c25-54c9-be48-6484481d2c03
- version :
- 0
[1 values with dtype=float32]
shaf_integral_1
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Shafranov integral 1
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- shafranov_integral_1
- mds_name :
- \\TOP.ANALYSED.EFM.SHAF:INTEGRAL_1
- name :
- efm/shaf_integral_1
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SHAF_INTEGRAL_1
- units :
- uuid :
- 21798555-7f56-5b17-85ce-a5cc45a78c3b
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
shaf_integral_2
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Shafranov integral 2
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- shafranov_integral_2
- mds_name :
- \\TOP.ANALYSED.EFM.SHAF:INTEGRAL_2
- name :
- efm/shaf_integral_2
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SHAF_INTEGRAL_2
- units :
- uuid :
- dcd63312-5b11-5006-bd8d-ed9e52ae6f50
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
shaf_integral_3
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Shafranov integral 3
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- shafranov_integral_3
- mds_name :
- \\TOP.ANALYSED.EFM.SHAF:INTEGRAL_3
- name :
- efm/shaf_integral_3
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SHAF_INTEGRAL_3
- units :
- uuid :
- 90d2aad4-fa1e-555a-b453-f13942a220cb
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
sigbdry
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Relative position error on boundary position constraints; f(nbdry, A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- sigbdry
- mds_name :
- \\TOP.ANALYSED.EFM:SIGBDRY
- name :
- efm/sigbdry
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SIGBDRY
- units :
- uuid :
- b8ac0e0b-7ce3-52e3-a21d-467967091e70
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
silop_c
(time, psi_loop_n)
float32
dask.array<chunksize=(64, 46), meta=np.ndarray>
- description :
- Output (computed) fitted magnetic flux probes; f(silop_n, A)
- dims :
- ['time', 'psi_loop_n']
- file_name :
- None
- format :
- None
- label :
- Computed flux loops sign
- mds_name :
- \\TOP.ANALYSED.EFM:SILOP_C
- name :
- efm/silop_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 46]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SILOP_(C)
- units :
- Wb
- uuid :
- 6f143c44-8c86-5c6f-83c0-35e7f301b744
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 11.50 kiB | \n",
" 11.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 46) | \n",
" (64, 46) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
silop_chisq
(time, psi_loop_n)
float32
dask.array<chunksize=(64, 46), meta=np.ndarray>
- description :
- Chi-squared of each fitted magnetic flux probe; f(silop_n, A)
- dims :
- ['time', 'psi_loop_n']
- file_name :
- None
- format :
- None
- label :
- Chi**2 of each flux loop
- mds_name :
- \\TOP.ANALYSED.EFM:SILOP_CHISQ
- name :
- efm/silop_chisq
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 46]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SILOP_CHISQ
- units :
- uuid :
- 36edf804-c067-5b55-aa93-c9d9ecc58fe8
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 11.50 kiB | \n",
" 11.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 46) | \n",
" (64, 46) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
silop_dphi
(psi_loop_n)
float32
dask.array<chunksize=(46,), meta=np.ndarray>
- description :
- Toroidal angular extent of each magnetic flux probe; f(magpr_n)
- dims :
- ['psi_loop_n']
- file_name :
- None
- format :
- None
- label :
- Flux Loop Toroidal Exten
- mds_name :
- \\TOP.ANALYSED.EFM:SILOP_DPHI
- name :
- efm/silop_dphi
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 46]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SILOP_DPHI
- units :
- m
- uuid :
- 5cf990ab-ed3f-5d66-a7c6-4132fa2a317a
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 184 B | \n",
" 184 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (46,) | \n",
" (46,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
silop_r
(psi_loop_n)
float32
dask.array<chunksize=(46,), meta=np.ndarray>
- description :
- R of each magnetic flux probe; f(magpr_n)
- dims :
- ['psi_loop_n']
- file_name :
- None
- format :
- None
- label :
- Flux Loop Location Radiu
- mds_name :
- \\TOP.ANALYSED.EFM:SILOP_R
- name :
- efm/silop_r
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 46]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SILOP_R
- units :
- m
- uuid :
- 856165b2-670a-5ab4-8575-b37ff70e3f1d
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 184 B | \n",
" 184 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (46,) | \n",
" (46,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
silop_x
(time, psi_loop_n)
float32
dask.array<chunksize=(64, 46), meta=np.ndarray>
- description :
- Input (experimental) fitted magnetic flux probes; f(silop_n, A)
- dims :
- ['time', 'psi_loop_n']
- file_name :
- None
- format :
- None
- label :
- Measured flux loops sign
- mds_name :
- \\TOP.ANALYSED.EFM:SILOP_X
- name :
- efm/silop_x
- quality :
- Not Checked
- rank :
- 2
- shape :
- [64, 46]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SILOP_(X)
- units :
- Wb
- uuid :
- 8791ad66-9c81-5288-b312-2458557608bb
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 11.50 kiB | \n",
" 11.50 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 46) | \n",
" (64, 46) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
silop_z
(psi_loop_n)
float32
dask.array<chunksize=(46,), meta=np.ndarray>
- description :
- Z of each magnetic flux probe; f(magpr_n)
- dims :
- ['psi_loop_n']
- file_name :
- None
- format :
- None
- label :
- Flux Loop Location Heigh
- mds_name :
- \\TOP.ANALYSED.EFM:SILOP_Z
- name :
- efm/silop_z
- quality :
- Not Checked
- rank :
- 2
- shape :
- [1, 46]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_SILOP_Z
- units :
- m
- uuid :
- 5d60facb-c6d0-55b7-9548-c0e8be2e5a78
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 184 B | \n",
" 184 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (46,) | \n",
" (46,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
status
()
int32
...
- description :
- MAST scheduler status
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- MAST Status flag
- mds_name :
- \\TOP.ANALYSED.EFM:STATUS
- name :
- efm/status
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_STATUS
- units :
- uuid :
- 255ae97c-f9a9-54a1-8bd7-b9e7c955e23f
- version :
- 0
[1 values with dtype=int32]
time_
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- All times of converged reconstruction (time base B) - identical to EFM_CNVRGD_TIMES
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Time of reconstruction
- mds_name :
- \\TOP.ANALYSED.EFM:TIME
- name :
- efm/time_
- quality :
- Not Checked
- rank :
- 1
- shape :
- [64]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_TIME
- units :
- s
- uuid :
- e7248f5d-a27a-59ce-ada3-1f56e2e088f7
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
triang_lower
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Lower plasma triangularity; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Lower Triangularity
- mds_name :
- \\TOP.ANALYSED.EFM:TRIANG_LOWER
- name :
- efm/triang_lower
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_TRIANG_LOWER
- units :
- uuid :
- 72bf53f4-5ecb-5a52-bd39-b860fd55ef14
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
triang_lpsi_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Lower plasma triangularity as a function of magnetic flux; f(npsi, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- lower delta of surfaces
- mds_name :
- \\TOP.ANALYSED.EFM.TRIANG_L:PSI_C
- name :
- efm/triang_lpsi_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_TRIANG_L(PSI)_(C)
- units :
- uuid :
- 89187327-4026-5ad4-b2d9-e52fa6d4f243
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
triang_upper
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Upper plasma triangularity; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Upper Triangularity
- mds_name :
- \\TOP.ANALYSED.EFM:TRIANG_UPPER
- name :
- efm/triang_upper
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_TRIANG_UPPER
- units :
- uuid :
- 4664260a-ff20-5e3a-bf62-61fd6a476805
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
triang_upsi_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Upper plasma triangularity as a function of magnetic flux; f(npsi, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- upper delta of surfaces
- mds_name :
- \\TOP.ANALYSED.EFM.TRIANG_U:PSI_C
- name :
- efm/triang_upsi_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_TRIANG_U(PSI)_(C)
- units :
- uuid :
- 1b84c3fe-20a5-5cfe-b5c4-8c5c08b26487
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
volp_c
(time, psi_norm)
float32
dask.array<chunksize=(64, 65), meta=np.ndarray>
- description :
- Plasma volume enclosed by flux surfaces as a function of magnetic flux; f(npsi, B)
- dims :
- ['time', 'psi_norm']
- file_name :
- None
- format :
- None
- label :
- vol within psi surfaces
- mds_name :
- \\TOP.ANALYSED.EFM:VOLP_C
- name :
- efm/volp_c
- quality :
- Not Checked
- rank :
- 2
- shape :
- [53, 65]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_VOLP_(C)
- units :
- m ** 3
- uuid :
- e54fe482-f3f6-5b78-b1f1-22c4ce76a943
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 16.25 kiB | \n",
" 16.25 kiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64, 65) | \n",
" (64, 65) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
wcurbd
()
float32
...
- description :
- pw' polynomial fit boundary condition; 1 for zero at psin=1, 0 for free
- dims :
- []
- file_name :
- None
- format :
- None
- label :
- P(Rot) Boundary Conditio
- mds_name :
- \\TOP.ANALYSED.EFM:WCURBD
- name :
- efm/wcurbd
- quality :
- Not Checked
- rank :
- 1
- shape :
- [1]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_WCURBD
- units :
- uuid :
- 0856f852-b925-551c-90ae-4093dc73a02a
- version :
- 0
[1 values with dtype=float32]
wplasmd
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Plasma energy computed using diamagnetic energy, as in betapd
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Plasma Diamagnetic Energ
- mds_name :
- \\TOP.ANALYSED.EFM:WPLASMD
- name :
- efm/wplasmd
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_WPLASMD
- units :
- J
- uuid :
- 92ab9f43-0de5-581b-a883-c6bc10b8dfed
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
wpol
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Poloidal part of magnetic energy in plasma; vol avg Bp^2 / 2 mu0; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Wpol
- mds_name :
- \\TOP.ANALYSED.EFM:WPOL
- name :
- efm/wpol
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_WPOL
- units :
- J
- uuid :
- acec52d6-372a-5a00-854e-d6d6b8dca1f5
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
xpoint1_rc
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Radius of first X-point; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Radius of X-point 1
- mds_name :
- \\TOP.ANALYSED.EFM:XPOINT1_R_C
- name :
- efm/xpoint1_rc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_XPOINT1_R(C)
- units :
- m
- uuid :
- eccf57c6-d71d-5cdd-b999-3dc464f12401
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
xpoint1_zc
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Height of first X-point; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Height of X-point 1
- mds_name :
- \\TOP.ANALYSED.EFM:XPOINT1_Z_C
- name :
- efm/xpoint1_zc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_XPOINT1_Z(C)
- units :
- m
- uuid :
- 319404d2-10f1-5c26-87ee-3149180db242
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
xpoint2_rc
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Radius of second X-point; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Radius of X-point 2
- mds_name :
- \\TOP.ANALYSED.EFM:XPOINT2_R_C
- name :
- efm/xpoint2_rc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_XPOINT2_R(C)
- units :
- m
- uuid :
- c56187f6-bdd6-52d9-966f-c828b7b56877
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
xpoint2_zc
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Height of second X-point; f(B)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- Height of X-point 2
- mds_name :
- \\TOP.ANALYSED.EFM:XPOINT2_Z_C
- name :
- efm/xpoint2_zc
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_XPOINT2_Z(C)
- units :
- m
- uuid :
- 5c417167-69c9-5c80-93b1-8935ff84efa4
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
zbdry
(time)
float32
dask.array<chunksize=(64,), meta=np.ndarray>
- description :
- Height of boundary position constraints; f(nbdry, A)
- dims :
- ['time']
- file_name :
- None
- format :
- None
- label :
- zbdry
- mds_name :
- \\TOP.ANALYSED.EFM:ZBDRY
- name :
- efm/zbdry
- quality :
- Not Checked
- rank :
- 1
- shape :
- [53]
- shot_id :
- 30420
- signal_type :
- Analysed
- source :
- efm
- time_index :
- 0
- uda_name :
- EFM_ZBDRY
- units :
- m
- uuid :
- d2e90be2-8873-55b5-a642-52a4b2b95ce4
- version :
- 0
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 256 B | \n",
" 256 B | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (64,) | \n",
" (64,) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"