LSST Applications 29.0.1,g0fba68d861+132dd21e0a,g107a963962+1bb9f809a9,g1fd858c14a+005be21cae,g21d47ad084+8a07b29876,g325378336f+5d73323c8f,g330003fc43+40b4eaffc6,g35bb328faa+fcb1d3bbc8,g36ff55ed5b+9c28a42a87,g4e0f332c67+5fbd1e3e73,g53246c7159+fcb1d3bbc8,g60b5630c4e+9c28a42a87,g67b6fd64d1+a38b34ea13,g78460c75b0+2f9a1b4bcd,g786e29fd12+cf7ec2a62a,g7b71ed6315+fcb1d3bbc8,g86c591e316+6b2b2d0295,g8852436030+bf14db0e33,g89139ef638+a38b34ea13,g8b8da53e10+e3777245af,g9125e01d80+fcb1d3bbc8,g989de1cb63+a38b34ea13,g9f1445be69+9c28a42a87,g9f33ca652e+52c8f07962,ga9baa6287d+9c28a42a87,ga9e4eb89a6+9f84bd6575,gabe3b4be73+1e0a283bba,gb037a4e798+f3cbcd26c0,gb1101e3267+e7be8da0f8,gb58c049af0+f03b321e39,gb89ab40317+a38b34ea13,gcf25f946ba+bf14db0e33,gd6cbbdb0b4+bce7f7457e,gd9a9a58781+fcb1d3bbc8,gde0f65d7ad+53d424b1ae,ge278dab8ac+222406d50a,ge410e46f29+a38b34ea13,ge80e9994a3+664d6357dc,gf67bdafdda+a38b34ea13
LSST Data Management Base Package
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makeTransmissionCurves.py
Go to the documentation of this file.
1# This file is part of obs_decam.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (http://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This program is free software: you can redistribute it and/or modify
10# it under the terms of the GNU General Public License as published by
11# the Free Software Foundation, either version 3 of the License, or
12# (at your option) any later version.
13#
14# This program is distributed in the hope that it will be useful,
15# but WITHOUT ANY WARRANTY; without even the implied warranty of
16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17# GNU General Public License for more details.
18#
19# You should have received a copy of the GNU General Public License
20# along with this program. If not, see <http://www.gnu.org/licenses/>.
21
22import os
23import astropy.io.fits
24import numpy as np
25
26from lsst.afw.image import TransmissionCurve
27from lsst.utils import getPackageDir
28from .decamFilters import DECAM_FILTER_DEFINITIONS
29
30__all__ = ("getDESSystemTransmission", "getDESAtmosphereTransmission")
31
32DATA_DIR = os.path.join(getPackageDir("obs_decam_data"), "decam", "transmission_curves")
33
34DECAM_BEGIN = "2012-09-12" # Initial date for DECam first light.
35
36
38 """Return a dictionary of TransmissionCurves describing the atmospheric
39 throughput at CTIO.
40
41 Dictionary keys are string dates (YYYY-MM-DD) indicating the beginning of
42 the validity period for the curve stored as the associated dictionary
43 value. The curve is guaranteed not to be spatially-varying.
44 """
45 table = astropy.io.fits.getdata(os.path.join(DATA_DIR, "des", "des_atm_std.fits"))
46
47 atm = TransmissionCurve.makeSpatiallyConstant(
48 throughput=table["throughput_atm"].astype(np.float64),
49 wavelengths=table["lambda"].astype(np.float64),
50 throughputAtMin=table["throughput_atm"][0],
51 throughputAtMax=table["throughput_atm"][-1],
52 )
53
54 return {DECAM_BEGIN: atm}
55
56
58 """Return a nested dictionary of TransmissionCurves describing the
59 system throughput (optics + filter + detector) at the location of
60 each detector.
61
62 Outer dictionary keys are string dates (YYYY-MM-DD). The next level
63 dictionary maps the physical filter name to another dict. The inner
64 dict is keyed by detector number.
65 """
66 # We have DES detector throughputs for the grizy bands.
67
68 bands = ["g", "r", "i", "z", "Y"]
69
70 filter_dict = {}
71 for band in bands:
72 for filter_def in DECAM_FILTER_DEFINITIONS:
73 if band == filter_def.band:
74 physical_filter = filter_def.physical_filter
75 break
76
77 table = astropy.io.fits.getdata(
78 os.path.join(DATA_DIR, "des", f"{band}_band_per_detector_throughput.fits"),
79 )
80
81 detector_dict = {}
82 for index in range(table['throughput_ccd'].shape[1]):
83 # The DECam detector starts at 1.
84 detector = index + 1
85
86 tput = TransmissionCurve.makeSpatiallyConstant(
87 throughput=table["throughput_ccd"][:, index].astype(np.float64),
88 wavelengths=table["lambda"].astype(np.float64),
89 throughputAtMin=0.0,
90 throughputAtMax=0.0,
91 )
92
93 detector_dict[detector] = tput
94
95 filter_dict[physical_filter] = detector_dict
96
97 return {DECAM_BEGIN: filter_dict}