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LSST Applications
21.0.0-172-gfb10e10a+18fedfabac,22.0.0+297cba6710,22.0.0+80564b0ff1,22.0.0+8d77f4f51a,22.0.0+a28f4c53b1,22.0.0+dcf3732eb2,22.0.1-1-g7d6de66+2a20fdde0d,22.0.1-1-g8e32f31+297cba6710,22.0.1-1-geca5380+7fa3b7d9b6,22.0.1-12-g44dc1dc+2a20fdde0d,22.0.1-15-g6a90155+515f58c32b,22.0.1-16-g9282f48+790f5f2caa,22.0.1-2-g92698f7+dcf3732eb2,22.0.1-2-ga9b0f51+7fa3b7d9b6,22.0.1-2-gd1925c9+bf4f0e694f,22.0.1-24-g1ad7a390+a9625a72a8,22.0.1-25-g5bf6245+3ad8ecd50b,22.0.1-25-gb120d7b+8b5510f75f,22.0.1-27-g97737f7+2a20fdde0d,22.0.1-32-gf62ce7b1+aa4237961e,22.0.1-4-g0b3f228+2a20fdde0d,22.0.1-4-g243d05b+871c1b8305,22.0.1-4-g3a563be+32dcf1063f,22.0.1-4-g44f2e3d+9e4ab0f4fa,22.0.1-42-gca6935d93+ba5e5ca3eb,22.0.1-5-g15c806e+85460ae5f3,22.0.1-5-g58711c4+611d128589,22.0.1-5-g75bb458+99c117b92f,22.0.1-6-g1c63a23+7fa3b7d9b6,22.0.1-6-g50866e6+84ff5a128b,22.0.1-6-g8d3140d+720564cf76,22.0.1-6-gd805d02+cc5644f571,22.0.1-8-ge5750ce+85460ae5f3,master-g6e05de7fdc+babf819c66,master-g99da0e417a+8d77f4f51a,w.2021.48
LSST Data Management Base Package
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Public Member Functions | |
| def | __init__ (self, match_radius=0.1 *arcseconds, flux_limit=100.0, do_photometry=True, do_astrometry=True, verbose=False) |
| def | compute_rms (self, data_refs, reference) |
| def | make_plots (self, data_refs, old_wcs_list, name='', interactive=False, per_ccd_plot=False, outdir='.plots') |
Compute statistics on jointcal-processed data, and optionally generate plots. Notes ----- Instantiate JointcalStatistics and call compute_rms() to get the relevant statistics for e.g. unittests, and call make_plots() to generate a suite of diagnostic plots.
| def lsst.jointcal.utils.JointcalStatistics.__init__ | ( | self, | |
match_radius = 0.1*arcseconds, |
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flux_limit = 100.0, |
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do_photometry = True, |
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do_astrometry = True, |
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verbose = False |
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| ) |
Parameters
----------
match_radius : lsst.geom.Angle
match sources within this radius for RMS statistics
flux_limit : float
Signal/Noise (flux/fluxErr) for sources to be included in the RMS cross-match.
100 is a balance between good centroids and enough sources.
do_photometry : bool, optional
Perform calculations/make plots for photometric metrics.
do_astrometry : bool, optional
Perform calculations/make plots for astrometric metrics.
verbose : bool, optional
Print extra things
Definition at line 61 of file utils.py.
| def lsst.jointcal.utils.JointcalStatistics.compute_rms | ( | self, | |
| data_refs, | |||
| reference | |||
| ) |
Match all data_refs to compute the RMS, for all detections above self.flux_limit.
Parameters
----------
data_refs : list of lsst.daf.persistence.butlerSubset.ButlerDataRef
A list of data refs to do the calculations between.
reference : lsst reference catalog
reference catalog to do absolute matching against.
Returns
-------
namedtuple:
astropy.Quantity
Post-jointcal relative RMS of the matched sources.
astropy.Quantity
Post-jointcal absolute RMS of matched sources.
float
Post-jointcal photometric repeatability (PA1 from the SRD).
Definition at line 86 of file utils.py.
| def lsst.jointcal.utils.JointcalStatistics.make_plots | ( | self, | |
| data_refs, | |||
| old_wcs_list, | |||
name = '', |
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interactive = False, |
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per_ccd_plot = False, |
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outdir = '.plots' |
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| ) |
Make plots of various quantites to help with debugging.
Requires that `compute_rms()` was run first.
Parameters
----------
data_refs : list of lsst.daf.persistence.butlerSubset.ButlerDataRef
A list of data refs to do the calculations between.
old_wcs_list : list of lsst.afw.image.wcs.Wcs
A list of the old (pre-jointcal) WCSs, one-to-one corresponding to data_refs.
name : str
Name to include in plot titles and save files.
interactive : bool
Turn on matplotlib interactive mode and drop into a debugger when
plotting is finished. Otherwise, use a non-interactive backend.
per_ccd_plot : bool
Plot the WCS per CCD (takes longer and generates many plots for a large camera)
outdir : str
directory to save plots to.
Definition at line 199 of file utils.py.
1.9.1