nisp¶
NISP-specific tools, including a ZemaxPositions
handler.
|
Zemax simulated positions, in spectroscopic or photometric mode. |
- spectrogrism.nisp.NISP_R = {'camera_flength': 0.9755, 'camera_gdist_K1': -0.0625, 'camera_gdist_x0': 0.0018, 'camera_gdist_y0': 0.2185, 'collimator_flength': 1.924, 'collimator_gdist_K1': 0.447, 'collimator_gdist_x0': -0.00031, 'collimator_gdist_y0': 0.0546, 'detector_dx': 0.000656, 'detector_dy': 0.00088, 'detector_pxsize': 1.8e-05, 'grism_dispersion': 13.4, 'grism_grating_blaze': 0.04537856055185257, 'grism_grating_material': 'FS', 'grism_grating_rho': 13.09, 'grism_prism_angle': 0.036267941856442165, 'grism_prism_material': 'FS', 'grism_prism_tiltx': -0.10530153153699122, 'grism_prism_tilty': 0.006574073515845309, 'grism_prism_tiltz': 0.002207841503772827, 'name': 'NISP-R', 'telescope_flength': 24.5, 'wave_range': [1.25e-06, 1.85e-06], 'wave_ref': 1.52e-06}¶
NISP effective optical configuration, R-grism
Note
The detector plane is tiled with 4×4 detectors of 2k×2k pixels of 18 µm; the spectrograph has a mean magnification (
NISPPlateScale
) of 0.5 approximately. Hence a focal plane of approximately 29×29 cm².
- class spectrogrism.nisp.ZemaxPositions(simulations, colname='psfcmm')[source]¶
Zemax simulated positions, in spectroscopic or photometric mode.
Zemax configuration modes (‘confNB’):
1: B-grism (NISP-S)
2, 3, 4: R-grisms (NISP-S)
5, 6, 7: Y, J, H (NISP-P)
Initialize from
simulations
= {mode: filename}.- colnames = ['confNb', 'wave', 'xindeg', 'yindeg', 'ximgmm', 'yimgmm', 'pxsize', 'nxpup', 'nypup', 'nximg', 'nyimg', 'ximgcpx', 'yimgcpx', 'ximgcmm', 'yimgcmm', 'xpsfcmm', 'ypsfcmm', 'ee50mm', 'ee80mm', 'ee90mm', 'ellpsf', 'papsfdeg']¶
Input column names
- property orders¶
Dispersion orders (int modes).
- property bands¶
Undispersed photometric bands (string modes).
- classmethod read_simulation(filename, colname='psfcmm')[source]¶
Read single-mode simulation.
- Parameters
- Returns
(wavelength, input coordinates) dataframe
- Return type
Warning
this function relies on
pandas.DataFrame.pivot()
. Because of Pandas issue #12666 and related Numpy issue 7535, this requires Numpy >= v1.11.
- get_simcfg()[source]¶
Generate a
spectrogrism.spectrogrism.SimConfig
corresponding to current simulation.