Chandra Grating Comparisons#
This notebook compares the grating efficiencies for the CHANDRA HETG gratings for multiple orders
[9]:
import astropy.units as u
import matplotlib.pyplot as plt
import numpy as np
from mocksipipeline.instrument.optics.response import Channel
[6]:
grating_table = Channel._read_grating_file(
'/Users/wtbarnes/Documents/codes/mocksipipeline/mocksipipeline/instrument/optics/data/hetgD1996-11-01greffpr001N0007.fits',
3,
)
[7]:
grating_table
[7]:
QTable length=1408
| energy | grating_efficiency_-11 | grating_efficiency_-10 | grating_efficiency_-9 | grating_efficiency_-8 | grating_efficiency_-7 | grating_efficiency_-6 | grating_efficiency_-5 | grating_efficiency_-4 | grating_efficiency_-3 | grating_efficiency_-2 | grating_efficiency_-1 | grating_efficiency_0 | grating_efficiency_1 | grating_efficiency_2 | grating_efficiency_3 | grating_efficiency_4 | grating_efficiency_5 | grating_efficiency_6 | grating_efficiency_7 | grating_efficiency_8 | grating_efficiency_9 | grating_efficiency_10 | grating_efficiency_11 | wavelength |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| keV | Angstrom | |||||||||||||||||||||||
| float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | float32 |
| 0.029999999329447746 | 4.15362e-13 | 4.91383e-13 | 7.43769e-13 | 7.69896e-13 | 1.03535e-12 | 1.91534e-12 | 1.90598e-12 | 3.70506e-12 | 5.74867e-12 | 1.83095e-11 | 6.66226e-11 | 1.02129e-10 | 6.66226e-11 | 1.83095e-11 | 5.74867e-12 | 3.70506e-12 | 1.90598e-12 | 1.91534e-12 | 1.03535e-12 | 7.69896e-13 | 7.43769e-13 | 4.91383e-13 | 4.15362e-13 | 413.2806396484375 |
| 0.030174799263477325 | 4.61763e-13 | 5.45696e-13 | 8.25618e-13 | 8.55091e-13 | 1.15076e-12 | 2.12471e-12 | 2.11526e-12 | 4.11539e-12 | 6.38041e-12 | 2.0266e-11 | 7.37063e-11 | 1.12986e-10 | 7.37063e-11 | 2.0266e-11 | 6.38041e-12 | 4.11539e-12 | 2.11526e-12 | 2.12471e-12 | 1.15076e-12 | 8.55091e-13 | 8.25618e-13 | 5.45696e-13 | 4.61763e-13 | 410.8865661621094 |
| 0.030262600630521774 | 4.87024e-13 | 5.75245e-13 | 8.70144e-13 | 9.01457e-13 | 1.21359e-12 | 2.23856e-12 | 2.22921e-12 | 4.33885e-12 | 6.72427e-12 | 2.13291e-11 | 7.75526e-11 | 1.1888e-10 | 7.75526e-11 | 2.13291e-11 | 6.72427e-12 | 4.33885e-12 | 2.22921e-12 | 2.23856e-12 | 1.21359e-12 | 9.01457e-13 | 8.70144e-13 | 5.75245e-13 | 4.87024e-13 | 409.6944580078125 |
| 0.030368300154805183 | 5.24466e-13 | 6.19128e-13 | 9.36527e-13 | 9.7045e-13 | 1.3067e-12 | 2.40876e-12 | 2.39957e-12 | 4.67298e-12 | 7.23799e-12 | 2.29336e-11 | 8.33828e-11 | 1.2782e-10 | 8.33828e-11 | 2.29336e-11 | 7.23799e-12 | 4.67298e-12 | 2.39957e-12 | 2.40876e-12 | 1.3067e-12 | 9.7045e-13 | 9.36527e-13 | 6.19128e-13 | 5.24466e-13 | 408.2684631347656 |
| 0.03047429956495762 | 5.63729e-13 | 6.65115e-13 | 1.00608e-12 | 1.04277e-12 | 1.40435e-12 | 2.587e-12 | 2.57819e-12 | 5.02342e-12 | 7.77661e-12 | 2.4612e-11 | 8.94762e-11 | 1.37162e-10 | 8.94762e-11 | 2.4612e-11 | 7.77661e-12 | 5.02342e-12 | 2.57819e-12 | 2.587e-12 | 1.40435e-12 | 1.04277e-12 | 1.00608e-12 | 6.65115e-13 | 5.63729e-13 | 406.848388671875 |
| 0.03049200028181076 | 5.71104e-13 | 6.73751e-13 | 1.01914e-12 | 1.05635e-12 | 1.42269e-12 | 2.62048e-12 | 2.61173e-12 | 5.08926e-12 | 7.87776e-12 | 2.49273e-11 | 9.06215e-11 | 1.38918e-10 | 9.06215e-11 | 2.49273e-11 | 7.87776e-12 | 5.08926e-12 | 2.61173e-12 | 2.62048e-12 | 1.42269e-12 | 1.05635e-12 | 1.01914e-12 | 6.73751e-13 | 5.71104e-13 | 406.61224365234375 |
| 0.030509699136018753 | 4.80783e-21 | 6.1996e-21 | 8.80004e-21 | 9.11274e-21 | 1.26796e-20 | 2.27112e-20 | 2.44495e-20 | 4.08108e-20 | 7.54895e-20 | 2.33207e-19 | 7.04424e-19 | 1.03241e-18 | 7.04424e-19 | 2.33207e-19 | 7.54895e-20 | 4.08108e-20 | 2.44495e-20 | 2.27112e-20 | 1.26796e-20 | 9.11274e-21 | 8.80004e-21 | 6.1996e-21 | 4.80783e-21 | 406.3763427734375 |
| 0.030563000589609146 | 5.17749e-21 | 6.67316e-21 | 9.47207e-21 | 9.81159e-21 | 1.36521e-20 | 2.44451e-20 | 2.63168e-20 | 4.39616e-20 | 8.12565e-20 | 2.50818e-19 | 7.57833e-19 | 1.11082e-18 | 7.57833e-19 | 2.50818e-19 | 8.12565e-20 | 4.39616e-20 | 2.63168e-20 | 2.44451e-20 | 1.36521e-20 | 9.81159e-21 | 9.47207e-21 | 6.67316e-21 | 5.17749e-21 | 405.6676330566406 |
| 0.03061630018055439 | 5.57504e-21 | 7.18219e-21 | 1.01944e-20 | 1.0563e-20 | 1.46978e-20 | 2.63087e-20 | 2.83241e-20 | 4.73513e-20 | 8.74561e-20 | 2.6973e-19 | 8.15199e-19 | 1.19505e-18 | 8.15199e-19 | 2.6973e-19 | 8.74561e-20 | 4.73513e-20 | 2.83241e-20 | 2.63087e-20 | 1.46978e-20 | 1.0563e-20 | 1.01944e-20 | 7.18219e-21 | 5.57504e-21 | 404.9613952636719 |
| 0.030669700354337692 | 5.99701e-21 | 7.72219e-21 | 1.09606e-20 | 1.13605e-20 | 1.58075e-20 | 2.82856e-20 | 3.04537e-20 | 5.09505e-20 | 9.40338e-20 | 2.89771e-19 | 8.75993e-19 | 1.28432e-18 | 8.75993e-19 | 2.89771e-19 | 9.40338e-20 | 5.09505e-20 | 3.04537e-20 | 2.82856e-20 | 1.58075e-20 | 1.13605e-20 | 1.09606e-20 | 7.72219e-21 | 5.99701e-21 | 404.2563171386719 |
| 0.030723199248313904 | 6.45768e-21 | 8.31143e-21 | 1.17967e-20 | 1.22309e-20 | 1.70189e-20 | 3.04426e-20 | 3.27777e-20 | 5.4881e-20 | 1.01212e-19 | 3.11621e-19 | 9.42289e-19 | 1.38167e-18 | 9.42289e-19 | 3.11621e-19 | 1.01212e-19 | 5.4881e-20 | 3.27777e-20 | 3.04426e-20 | 1.70189e-20 | 1.22309e-20 | 1.17967e-20 | 8.31143e-21 | 6.45768e-21 | 403.5523681640625 |
| 0.030758900567889214 | 6.77452e-21 | 8.71668e-21 | 1.23719e-20 | 1.28295e-20 | 1.78519e-20 | 3.19266e-20 | 3.43755e-20 | 5.75842e-20 | 1.06146e-19 | 3.26656e-19 | 9.87957e-19 | 1.44875e-18 | 9.87957e-19 | 3.26656e-19 | 1.06146e-19 | 5.75842e-20 | 3.43755e-20 | 3.19266e-20 | 1.78519e-20 | 1.28295e-20 | 1.23719e-20 | 8.71668e-21 | 6.77452e-21 | 403.0839538574219 |
| 0.030812600627541542 | 7.28796e-21 | 9.3729e-21 | 1.3303e-20 | 1.37994e-20 | 1.92016e-20 | 3.43286e-20 | 3.69639e-20 | 6.19673e-20 | 1.1414e-19 | 3.50955e-19 | 1.06171e-18 | 1.55708e-18 | 1.06171e-18 | 3.50955e-19 | 1.1414e-19 | 6.19673e-20 | 3.69639e-20 | 3.43286e-20 | 1.92016e-20 | 1.37994e-20 | 1.3303e-20 | 9.3729e-21 | 7.28796e-21 | 402.3815002441406 |
| 0.03086630068719387 | 7.83957e-21 | 1.00775e-20 | 1.43028e-20 | 1.48411e-20 | 2.06514e-20 | 3.69077e-20 | 3.97435e-20 | 6.66778e-20 | 1.22725e-19 | 3.77021e-19 | 1.14083e-18 | 1.6733e-18 | 1.14083e-18 | 3.77021e-19 | 1.22725e-19 | 6.66778e-20 | 3.97435e-20 | 3.69077e-20 | 2.06514e-20 | 1.48411e-20 | 1.43028e-20 | 1.00775e-20 | 7.83957e-21 | 401.6814270019531 |
| 0.030938100069761276 | 8.63834e-21 | 1.10973e-20 | 1.57495e-20 | 1.63493e-20 | 2.27506e-20 | 4.06398e-20 | 4.37669e-20 | 7.35021e-20 | 1.35151e-19 | 4.14699e-19 | 1.25522e-18 | 1.84134e-18 | 1.25522e-18 | 4.14699e-19 | 1.35151e-19 | 7.35021e-20 | 4.37669e-20 | 4.06398e-20 | 2.27506e-20 | 1.63493e-20 | 1.57495e-20 | 1.10973e-20 | 8.63834e-21 | 400.749267578125 |
| 0.0310101006180048 | 9.51881e-21 | 1.22206e-20 | 1.7343e-20 | 1.80114e-20 | 2.5064e-20 | 4.47503e-20 | 4.81993e-20 | 8.1028e-20 | 1.48841e-19 | 4.56147e-19 | 1.38107e-18 | 2.02623e-18 | 1.38107e-18 | 4.56147e-19 | 1.48841e-19 | 8.1028e-20 | 4.81993e-20 | 4.47503e-20 | 2.5064e-20 | 1.80114e-20 | 1.7343e-20 | 1.22206e-20 | 9.51881e-21 | 399.81878662109375 |
| 0.031064199283719063 | 1.02304e-20 | 1.31278e-20 | 1.86298e-20 | 1.93542e-20 | 2.69334e-20 | 4.80697e-20 | 5.17799e-20 | 8.71128e-20 | 1.59899e-19 | 4.89579e-19 | 1.48258e-18 | 2.17537e-18 | 1.48258e-18 | 4.89579e-19 | 1.59899e-19 | 8.71128e-20 | 5.17799e-20 | 4.80697e-20 | 2.69334e-20 | 1.93542e-20 | 1.86298e-20 | 1.31278e-20 | 1.02304e-20 | 399.1224670410156 |
| 0.031118400394916534 | 1.0995e-20 | 1.41022e-20 | 2.00118e-20 | 2.0797e-20 | 2.89418e-20 | 5.16344e-20 | 5.5626e-20 | 9.36537e-20 | 1.71777e-19 | 5.25447e-19 | 1.59149e-18 | 2.33541e-18 | 1.59149e-18 | 5.25447e-19 | 1.71777e-19 | 9.36537e-20 | 5.5626e-20 | 5.16344e-20 | 2.89418e-20 | 2.0797e-20 | 2.00118e-20 | 1.41022e-20 | 1.0995e-20 | 398.4272766113281 |
| 0.031172700226306915 | 1.1817e-20 | 1.51492e-20 | 2.14967e-20 | 2.23479e-20 | 3.11008e-20 | 5.54645e-20 | 5.97596e-20 | 1.00689e-19 | 1.84543e-19 | 5.6395e-19 | 1.7084e-18 | 2.50721e-18 | 1.7084e-18 | 5.6395e-19 | 1.84543e-19 | 1.00689e-19 | 5.97596e-20 | 5.54645e-20 | 3.11008e-20 | 2.23479e-20 | 2.14967e-20 | 1.51492e-20 | 1.1817e-20 | 397.7333068847656 |
| 0.031227000057697296 | 1.26994e-20 | 1.62724e-20 | 2.30896e-20 | 2.40122e-20 | 3.34179e-20 | 5.95731e-20 | 6.41947e-20 | 1.08243e-19 | 1.9824e-19 | 6.0521e-19 | 1.83369e-18 | 2.69134e-18 | 1.83369e-18 | 6.0521e-19 | 1.9824e-19 | 1.08243e-19 | 6.41947e-20 | 5.95731e-20 | 3.34179e-20 | 2.40122e-20 | 2.30896e-20 | 1.62724e-20 | 1.26994e-20 | 397.0416564941406 |
| 0.031245199963450432 | 1.30139e-20 | 1.66728e-20 | 2.36576e-20 | 2.46056e-20 | 3.4244e-20 | 6.10384e-20 | 6.57773e-20 | 1.10939e-19 | 2.03126e-19 | 6.19933e-19 | 1.87841e-18 | 2.75706e-18 | 1.87841e-18 | 6.19933e-19 | 2.03126e-19 | 1.10939e-19 | 6.57773e-20 | 6.10384e-20 | 3.4244e-20 | 2.46056e-20 | 2.36576e-20 | 1.66728e-20 | 1.30139e-20 | 396.81036376953125 |
| 0.03129969909787178 | 1.40655e-20 | 1.80131e-20 | 2.55624e-20 | 2.65929e-20 | 3.70073e-20 | 6.59553e-20 | 7.10952e-20 | 1.19987e-19 | 2.19526e-19 | 6.69542e-19 | 2.02927e-18 | 2.97879e-18 | 2.02927e-18 | 6.69542e-19 | 2.19526e-19 | 1.19987e-19 | 7.10952e-20 | 6.59553e-20 | 3.70073e-20 | 2.65929e-20 | 2.55624e-20 | 1.80131e-20 | 1.40655e-20 | 396.11944580078125 |
| 0.03135430067777634 | 1.52166e-20 | 1.94795e-20 | 2.76467e-20 | 2.87681e-20 | 4.00318e-20 | 7.13356e-20 | 7.69164e-20 | 1.299e-19 | 2.37477e-19 | 7.23792e-19 | 2.19426e-18 | 3.22132e-18 | 2.19426e-18 | 7.23792e-19 | 2.37477e-19 | 1.299e-19 | 7.69164e-20 | 7.13356e-20 | 4.00318e-20 | 2.87681e-20 | 2.76467e-20 | 1.94795e-20 | 1.52166e-20 | 395.4296569824219 |
| 0.03140899911522865 | 1.64486e-20 | 2.10482e-20 | 2.98765e-20 | 3.10959e-20 | 4.32684e-20 | 7.70914e-20 | 8.31471e-20 | 1.40517e-19 | 2.56689e-19 | 7.81789e-19 | 2.37065e-18 | 3.48061e-18 | 2.37065e-18 | 7.81789e-19 | 2.56689e-19 | 1.40517e-19 | 8.31471e-20 | 7.70914e-20 | 4.32684e-20 | 3.10959e-20 | 2.98765e-20 | 2.10482e-20 | 1.64486e-20 | 394.74102783203125 |
| 0.031463801860809326 | 1.77785e-20 | 2.27408e-20 | 3.22826e-20 | 3.36087e-20 | 4.67623e-20 | 8.33027e-20 | 8.98741e-20 | 1.51988e-19 | 2.77429e-19 | 8.44332e-19 | 2.56087e-18 | 3.76024e-18 | 2.56087e-18 | 8.44332e-19 | 2.77429e-19 | 1.51988e-19 | 8.98741e-20 | 8.33027e-20 | 4.67623e-20 | 3.36087e-20 | 3.22826e-20 | 2.27408e-20 | 1.77785e-20 | 394.053466796875 |
| 0.031500399112701416 | 1.87175e-20 | 2.39353e-20 | 3.39806e-20 | 3.53827e-20 | 4.92287e-20 | 8.76862e-20 | 9.46238e-20 | 1.60092e-19 | 2.92072e-19 | 8.88443e-19 | 2.69502e-18 | 3.95747e-18 | 2.69502e-18 | 8.88443e-19 | 2.92072e-19 | 1.60092e-19 | 9.46238e-20 | 8.76862e-20 | 4.92287e-20 | 3.53827e-20 | 3.39806e-20 | 2.39353e-20 | 1.87175e-20 | 393.5956726074219 |
| 0.03155529871582985 | 2.02319e-20 | 2.58612e-20 | 3.67185e-20 | 3.82437e-20 | 5.32067e-20 | 9.47542e-20 | 1.02285e-19 | 1.73171e-19 | 3.1569e-19 | 9.59528e-19 | 2.91123e-18 | 4.27533e-18 | 2.91123e-18 | 9.59528e-19 | 3.1569e-19 | 1.73171e-19 | 1.02285e-19 | 9.47542e-20 | 5.32067e-20 | 3.82437e-20 | 3.67185e-20 | 2.58612e-20 | 2.02319e-20 | 392.910888671875 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 4.956850051879883 | 9.15668e-05 | 0.000197877 | 0.000167447 | 0.000408266 | 0.000437027 | 0.0008991 | 0.00134942 | 0.00259834 | 0.0063204 | 0.00745788 | 0.107294 | 0.365814 | 0.107294 | 0.00745788 | 0.0063204 | 0.00259834 | 0.00134942 | 0.0008991 | 0.000437027 | 0.000408266 | 0.000167447 | 0.000197877 | 9.15668e-05 | 2.501270055770874 |
| 5.046929836273193 | 8.89513e-05 | 0.000193308 | 0.000163241 | 0.000398221 | 0.000426869 | 0.000879111 | 0.00132192 | 0.00254716 | 0.00622698 | 0.0073164 | 0.105787 | 0.378526 | 0.105787 | 0.0073164 | 0.00622698 | 0.00254716 | 0.00132192 | 0.000879111 | 0.000426869 | 0.000398221 | 0.000163241 | 0.000193308 | 8.89513e-05 | 2.4566259384155273 |
| 5.241159915924072 | 8.36084e-05 | 0.000183709 | 0.000154541 | 0.000377257 | 0.000405572 | 0.000836907 | 0.00126336 | 0.00243736 | 0.00601852 | 0.00701142 | 0.102384 | 0.404411 | 0.102384 | 0.00701142 | 0.00601852 | 0.00243736 | 0.00126336 | 0.000836907 | 0.000405572 | 0.000377257 | 0.000154541 | 0.000183709 | 8.36084e-05 | 2.365586996078491 |
| 5.265580177307129 | 8.27955e-05 | 0.000182201 | 0.000153139 | 0.000374028 | 0.00040207 | 0.000830219 | 0.00125336 | 0.00241981 | 0.00597911 | 0.00696375 | 0.101768 | 0.406983 | 0.101768 | 0.00696375 | 0.00597911 | 0.00241981 | 0.00125336 | 0.000830219 | 0.00040207 | 0.000374028 | 0.000153139 | 0.000182201 | 8.27955e-05 | 2.3546159267425537 |
| 5.299339771270752 | 8.20296e-05 | 0.000180788 | 0.00015185 | 0.00037098 | 0.000398864 | 0.000823968 | 0.00124432 | 0.00240338 | 0.00594463 | 0.00691854 | 0.101216 | 0.410148 | 0.101216 | 0.00691854 | 0.00594463 | 0.00240338 | 0.00124432 | 0.000823968 | 0.000398864 | 0.00037098 | 0.00015185 | 0.000180788 | 8.20296e-05 | 2.339616060256958 |
| 5.395639896392822 | 7.99329e-05 | 0.000176942 | 0.000148464 | 0.000362578 | 0.000390507 | 0.000807028 | 0.00122131 | 0.00235868 | 0.00586246 | 0.00679267 | 0.0998294 | 0.422591 | 0.0998294 | 0.00679267 | 0.00586246 | 0.00235868 | 0.00122131 | 0.000807028 | 0.000390507 | 0.000362578 | 0.000148464 | 0.000176942 | 7.99329e-05 | 2.297858953475952 |
| 5.678679943084717 | 7.34012e-05 | 0.000164635 | 0.000137539 | 0.000336025 | 0.000363125 | 0.000752468 | 0.00114392 | 0.00221329 | 0.00556569 | 0.00638699 | 0.094938 | 0.457568 | 0.094938 | 0.00638699 | 0.00556569 | 0.00221329 | 0.00114392 | 0.000752468 | 0.000363125 | 0.000336025 | 0.000137539 | 0.000164635 | 7.34012e-05 | 2.1833279132843018 |
| 5.986969947814941 | 6.69161e-05 | 0.000151996 | 0.000126471 | 0.00030901 | 0.000334974 | 0.0006961 | 0.00106274 | 0.0020604 | 0.00523844 | 0.00595861 | 0.0895095 | 0.493125 | 0.0895095 | 0.00595861 | 0.00523844 | 0.0020604 | 0.00106274 | 0.0006961 | 0.000334974 | 0.00030901 | 0.000126471 | 0.000151996 | 6.69161e-05 | 2.0709004402160645 |
| 5.993929862976074 | 6.6659e-05 | 0.000151453 | 0.000126009 | 0.00030788 | 0.000333773 | 0.000693648 | 0.0010591 | 0.00205344 | 0.00522196 | 0.00593879 | 0.0892314 | 0.493093 | 0.0892314 | 0.00593879 | 0.00522196 | 0.00205344 | 0.0010591 | 0.000693648 | 0.000333773 | 0.00030788 | 0.000126009 | 0.000151453 | 6.6659e-05 | 2.068495988845825 |
| 6.323019981384277 | 6.03452e-05 | 0.000138778 | 0.000114984 | 0.000281053 | 0.000305399 | 0.000636798 | 0.000975647 | 0.0018969 | 0.00486972 | 0.00549924 | 0.0833864 | 0.527595 | 0.0833864 | 0.00549924 | 0.00486972 | 0.0018969 | 0.000975647 | 0.000636798 | 0.000305399 | 0.000281053 | 0.000114984 | 0.000138778 | 6.03452e-05 | 1.9608383178710938 |
| 6.524539947509766 | 5.68298e-05 | 0.000131572 | 0.000108758 | 0.0002659 | 0.000289259 | 0.000604353 | 0.000927559 | 0.00180655 | 0.00466084 | 0.00524471 | 0.0799092 | 0.547077 | 0.0799092 | 0.00524471 | 0.00466084 | 0.00180655 | 0.000927559 | 0.000604353 | 0.000289259 | 0.0002659 | 0.000108758 | 0.000131572 | 5.68298e-05 | 1.9002749919891357 |
| 6.61998987197876 | 5.53333e-05 | 0.000128483 | 0.000106112 | 0.000259405 | 0.000282379 | 0.000590438 | 0.00090704 | 0.00176765 | 0.00457153 | 0.00513469 | 0.0784119 | 0.556968 | 0.0784119 | 0.00513469 | 0.00457153 | 0.00176765 | 0.00090704 | 0.000590438 | 0.000282379 | 0.000259405 | 0.000106112 | 0.000128483 | 5.53333e-05 | 1.8728759288787842 |
| 6.670179843902588 | 5.45015e-05 | 0.000126753 | 0.000104613 | 0.000255792 | 0.000278477 | 0.000582623 | 0.00089527 | 0.00174572 | 0.00451905 | 0.00507296 | 0.0775424 | 0.561183 | 0.0775424 | 0.00507296 | 0.00451905 | 0.00174572 | 0.00089527 | 0.000582623 | 0.000278477 | 0.000255792 | 0.000104613 | 0.000126753 | 5.45015e-05 | 1.8587833642959595 |
| 6.787459850311279 | 5.26852e-05 | 0.000122949 | 0.000101361 | 0.000247839 | 0.000269988 | 0.000565439 | 0.000869687 | 0.0016973 | 0.00440516 | 0.00493583 | 0.0756334 | 0.571864 | 0.0756334 | 0.00493583 | 0.00440516 | 0.0016973 | 0.000869687 | 0.000565439 | 0.000269988 | 0.000247839 | 0.000101361 | 0.000122949 | 5.26852e-05 | 1.8266657590866089 |
| 6.838910102844238 | 5.18306e-05 | 0.000121155 | 9.98014e-05 | 0.000244113 | 0.000265916 | 0.000557317 | 0.000857292 | 0.0016744 | 0.00434886 | 0.00487143 | 0.0747051 | 0.575699 | 0.0747051 | 0.00487143 | 0.00434886 | 0.0016744 | 0.000857292 | 0.000557317 | 0.000265916 | 0.000244113 | 9.98014e-05 | 0.000121155 | 5.18306e-05 | 1.8129233121871948 |
| 6.93897008895874 | 5.03848e-05 | 0.000118104 | 9.71713e-05 | 0.000237772 | 0.000259038 | 0.000543496 | 0.000836354 | 0.0016353 | 0.00425374 | 0.00476103 | 0.0731244 | 0.582981 | 0.0731244 | 0.00476103 | 0.00425374 | 0.0016353 | 0.000836354 | 0.000543496 | 0.000259038 | 0.000237772 | 9.71713e-05 | 0.000118104 | 5.03848e-05 | 1.7867809534072876 |
| 6.983459949493408 | 4.98213e-05 | 0.000116901 | 9.61752e-05 | 0.00023525 | 0.000256422 | 0.000538058 | 0.00082848 | 0.0016198 | 0.00421873 | 0.0047165 | 0.0725203 | 0.587541 | 0.0725203 | 0.0047165 | 0.00421873 | 0.0016198 | 0.00082848 | 0.000538058 | 0.000256422 | 0.00023525 | 9.61752e-05 | 0.000116901 | 4.98213e-05 | 1.7753978967666626 |
| 7.044579982757568 | 4.8924e-05 | 0.000114995 | 9.45332e-05 | 0.0002313 | 0.000252121 | 0.000529414 | 0.000815324 | 0.00159526 | 0.00415839 | 0.00464715 | 0.0715178 | 0.591933 | 0.0715178 | 0.00464715 | 0.00415839 | 0.00159526 | 0.000815324 | 0.000529414 | 0.000252121 | 0.0002313 | 9.45332e-05 | 0.000114995 | 4.8924e-05 | 1.7599942684173584 |
| 7.388299942016602 | 4.45343e-05 | 0.00010555 | 8.65202e-05 | 0.000211729 | 0.000231052 | 0.000486535 | 0.000750733 | 0.00147259 | 0.00386058 | 0.00429802 | 0.0665058 | 0.617851 | 0.0665058 | 0.00429802 | 0.00386058 | 0.00147259 | 0.000750733 | 0.000486535 | 0.000231052 | 0.000211729 | 8.65202e-05 | 0.00010555 | 4.45343e-05 | 1.6781153678894043 |
| 7.663730144500732 | 4.13532e-05 | 9.86041e-05 | 8.0654e-05 | 0.000197407 | 0.000215574 | 0.000454921 | 0.000702845 | 0.0013814 | 0.00363576 | 0.00403767 | 0.0627124 | 0.636743 | 0.0627124 | 0.00403767 | 0.00363576 | 0.0013814 | 0.000702845 | 0.000454921 | 0.000215574 | 0.000197407 | 8.0654e-05 | 9.86041e-05 | 4.13532e-05 | 1.6178048849105835 |
| 7.98183012008667 | 3.8032e-05 | 9.12607e-05 | 7.44778e-05 | 0.000182329 | 0.000199233 | 0.000421428 | 0.000651902 | 0.0012841 | 0.00339303 | 0.00375907 | 0.0586065 | 0.656634 | 0.0586065 | 0.00375907 | 0.00339303 | 0.0012841 | 0.000651902 | 0.000421428 | 0.000199233 | 0.000182329 | 7.44778e-05 | 9.12607e-05 | 3.8032e-05 | 1.5533305406570435 |
| 8.337309837341309 | 3.47177e-05 | 8.38389e-05 | 6.82621e-05 | 0.000167154 | 0.000182746 | 0.000387505 | 0.000600109 | 0.00118483 | 0.00314262 | 0.00347399 | 0.054359 | 0.676638 | 0.054359 | 0.00347399 | 0.00314262 | 0.00118483 | 0.000600109 | 0.000387505 | 0.000182746 | 0.000167154 | 6.82621e-05 | 8.38389e-05 | 3.47177e-05 | 1.4871007204055786 |
| 8.663209915161133 | 3.19996e-05 | 7.76819e-05 | 6.31258e-05 | 0.000154613 | 0.000169095 | 0.000359312 | 0.000556924 | 0.00110178 | 0.00293111 | 0.0032348 | 0.0507622 | 0.693141 | 0.0507622 | 0.0032348 | 0.00293111 | 0.00110178 | 0.000556924 | 0.000359312 | 0.000169095 | 0.000154613 | 6.31258e-05 | 7.76819e-05 | 3.19996e-05 | 1.4311577081680298 |
| 8.887519836425781 | 3.02861e-05 | 7.37678e-05 | 5.98699e-05 | 0.000146663 | 0.000160429 | 0.000341364 | 0.000529373 | 0.00104866 | 0.00279491 | 0.00308147 | 0.0484417 | 0.703588 | 0.0484417 | 0.00308147 | 0.00279491 | 0.00104866 | 0.000529373 | 0.000341364 | 0.000160429 | 0.000146663 | 5.98699e-05 | 7.37678e-05 | 3.02861e-05 | 1.395037055015564 |
| 9.2295503616333 | 2.7891e-05 | 6.82538e-05 | 5.52954e-05 | 0.000135493 | 0.00014824 | 0.00031605 | 0.000490438 | 0.000973393 | 0.00260078 | 0.0028638 | 0.0451283 | 0.718237 | 0.0451283 | 0.0028638 | 0.00260078 | 0.000973393 | 0.000490438 | 0.00031605 | 0.00014824 | 0.000135493 | 5.52954e-05 | 6.82538e-05 | 2.7891e-05 | 1.343339443206787 |
| 9.512639999389648 | 2.61093e-05 | 6.41227e-05 | 5.18767e-05 | 0.000127146 | 0.000139122 | 0.000297064 | 0.000461185 | 0.000916705 | 0.0024538 | 0.00269952 | 0.0426155 | 0.730015 | 0.0426155 | 0.00269952 | 0.0024538 | 0.000916705 | 0.000461185 | 0.000297064 | 0.000139122 | 0.000127146 | 5.18767e-05 | 6.41227e-05 | 2.61093e-05 | 1.3033627271652222 |
| 9.747610092163086 | 2.47137e-05 | 6.08641e-05 | 4.91867e-05 | 0.000120576 | 0.00013194 | 0.000282071 | 0.000438051 | 0.000871765 | 0.00233671 | 0.00256907 | 0.0406104 | 0.738572 | 0.0406104 | 0.00256907 | 0.00233671 | 0.000871765 | 0.000438051 | 0.000282071 | 0.00013194 | 0.000120576 | 4.91867e-05 | 6.08641e-05 | 2.47137e-05 | 1.2719446420669556 |
| 10.0 | 2.33082e-05 | 5.75648e-05 | 4.6468e-05 | 0.000113936 | 0.000124678 | 0.000266879 | 0.000414583 | 0.000826086 | 0.00221725 | 0.00243629 | 0.0385621 | 0.747169 | 0.0385621 | 0.00243629 | 0.00221725 | 0.000826086 | 0.000414583 | 0.000266879 | 0.000124678 | 0.000113936 | 4.6468e-05 | 5.75648e-05 | 2.33082e-05 | 1.2398419380187988 |
[28]:
fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(211)
orders = np.arange(12)
for order in orders:
ax.plot(grating_table['wavelength'], grating_table[f'grating_efficiency_{order}'], label=f'order={order}')
ax.set_yscale('log')
ax.set_xlim(0,100)
ax.set_ylim(1e-7,1)
ax.legend(ncol=2)
ax.set_xlabel('Wavelength [Å]')
ax.set_ylabel('Grating Efficiency')
ax = fig.add_subplot(212)
for order in -orders[1:]:
ax.plot(grating_table['wavelength'], grating_table[f'grating_efficiency_{order}'], label=f'order={order}')
ax.set_yscale('log')
ax.set_xlim(0,100)
ax.set_ylim(1e-7,1)
ax.legend(ncol=2)
ax.set_xlabel('Wavelength [Å]')
ax.set_ylabel('Grating Efficiency')
[28]:
Text(0, 0.5, 'Grating Efficiency')
[ ]: