|
def | __init__ (self, *args, **kwargs) |
|
def | runDataRef (self, dataRef) |
|
def | run (self, filenameFull, datasetPtc, linearizer=None, log=None) |
|
def | covAstierMakeAllPlots (self, dataset, pdfPages, log=None) |
|
def | plotNormalizedCovariances (self, i, j, inputMu, covs, covsModel, covsWeights, covsNoB, covsModelNoB, covsWeightsNoB, pdfPages, offset=0.004, numberOfBins=10, plotData=True, topPlot=False, log=None) |
|
|
def | plotCovariances (mu, covs, covsModel, covsWeights, covsNoB, covsModelNoB, covsWeightsNoB, gainDict, noiseDict, aDict, bDict, pdfPages) |
|
def | plot_a_b (aDict, bDict, pdfPages, bRange=3) |
|
def | ab_vs_dist (aDict, bDict, pdfPages, bRange=4) |
|
def | plotAcoeffsSum (aDict, bDict, pdfPages) |
|
def | plotRelativeBiasACoeffs (aDict, aDictNoB, fullCovsModel, fullCovsModelNoB, signalElectrons, gainDict, pdfPages, maxr=None) |
|
def | findGroups (x, maxDiff) |
|
def | indexForBins (x, nBins) |
|
def | binData (x, y, binIndex, wy=None) |
|
A class to plot the dataset from MeasurePhotonTransferCurveTask.
Parameters
----------
*args: `list`
Positional arguments passed to the Task constructor. None used at this
time.
**kwargs: `dict`
Keyword arguments passed on to the Task constructor. None used at this
time.
Notes
-----
The plotting code in this file is almost identical to the code in
`plotPtc.py`. If further changes are implemented in this file,
`plotPtc.py` needs to be updated accordingly, and vice versa.
This file (`plotPtcGen2.py`) helps with maintaining backwards
compatibility with gen2 as we transition to gen3; the code
duplication is meant to only last for few month from now
(Jan, 2021). At that point only the `plotPtc.py` file will
remain.
Definition at line 76 of file plotPtcGen2.py.
def lsst.cp.pipe.ptc.plotPtcGen2.PlotPhotonTransferCurveTaskGen2.ab_vs_dist |
( |
|
aDict, |
|
|
|
bDict, |
|
|
|
pdfPages, |
|
|
|
bRange = 4 |
|
) |
| |
|
static |
Fig. 13 of Astier+19.
Values of a and b arrays fits, averaged over amplifiers, as a function of distance.
Parameters
----------
aDict : `dict`, [`numpy.array`]
Dictionary keyed by amp names containing the fitted 'a' coefficients from the model
in Eq. 20 of Astier+19 (if `ptcFitType` is `FULLCOVARIANCE`).
bDict : `dict`, [`numpy.array`]
Dictionary keyed by amp names containing the fitted 'b' coefficients from the model
in Eq. 20 of Astier+19 (if `ptcFitType` is `FULLCOVARIANCE`).
pdfPages: `matplotlib.backends.backend_pdf.PdfPages`
PDF file where the plots will be saved.
bRange : `int`
Maximum lag for b arrays.
Definition at line 632 of file plotPtcGen2.py.
def lsst.cp.pipe.ptc.plotPtcGen2.PlotPhotonTransferCurveTaskGen2.plot_a_b |
( |
|
aDict, |
|
|
|
bDict, |
|
|
|
pdfPages, |
|
|
|
bRange = 3 |
|
) |
| |
|
static |
Fig. 12 of Astier+19
Color display of a and b arrays fits, averaged over channels.
Parameters
----------
aDict : `dict`, [`numpy.array`]
Dictionary keyed by amp names containing the fitted 'a' coefficients from the model
in Eq. 20 of Astier+19 (if `ptcFitType` is `FULLCOVARIANCE`).
bDict : `dict`, [`numpy.array`]
Dictionary keyed by amp names containing the fitted 'b' coefficients from the model
in Eq. 20 of Astier+19 (if `ptcFitType` is `FULLCOVARIANCE`).
pdfPages: `matplotlib.backends.backend_pdf.PdfPages`
PDF file where the plots will be saved.
bRange : `int`
Maximum lag for b arrays.
Definition at line 579 of file plotPtcGen2.py.
def lsst.cp.pipe.ptc.plotPtcGen2.PlotPhotonTransferCurveTaskGen2.plotCovariances |
( |
|
mu, |
|
|
|
covs, |
|
|
|
covsModel, |
|
|
|
covsWeights, |
|
|
|
covsNoB, |
|
|
|
covsModelNoB, |
|
|
|
covsWeightsNoB, |
|
|
|
gainDict, |
|
|
|
noiseDict, |
|
|
|
aDict, |
|
|
|
bDict, |
|
|
|
pdfPages |
|
) |
| |
|
static |
Plot covariances and models: Cov00, Cov10, Cov01.
Figs. 6 and 7 of Astier+19
Parameters
----------
mu : `dict`, [`str`, `list`]
Dictionary keyed by amp name with mean signal values.
covs : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing a list of measued covariances per mean flux.
covsModel : `dict`, [`str`, `list`]
Dictionary keyed by amp names containinging covariances model (Eq. 20 of Astier+19) per mean flux.
covsWeights : `dict`, [`str`, `list`]
Dictionary keyed by amp names containinging sqrt. of covariances weights.
covsNoB : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing a list of measued covariances per mean flux ('b'=0 in
Astier+19).
covsModelNoB : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing covariances model (with 'b'=0 in Eq. 20 of Astier+19)
per mean flux.
covsWeightsNoB : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing sqrt. of covariances weights ('b' = 0 in Eq. 20 of
Astier+19).
gainDict : `dict`, [`str`, `float`]
Dictionary keyed by amp names containing the gains in e-/ADU.
noiseDict : `dict`, [`str`, `float`]
Dictionary keyed by amp names containing the rms redout noise in e-.
aDict : `dict`, [`str`, `numpy.array`]
Dictionary keyed by amp names containing 'a' coefficients (Eq. 20 of Astier+19).
bDict : `dict`, [`str`, `numpy.array`]
Dictionary keyed by amp names containing 'b' coefficients (Eq. 20 of Astier+19).
pdfPages: `matplotlib.backends.backend_pdf.PdfPages`
PDF file where the plots will be saved.
Definition at line 218 of file plotPtcGen2.py.
def lsst.cp.pipe.ptc.plotPtcGen2.PlotPhotonTransferCurveTaskGen2.plotNormalizedCovariances |
( |
|
self, |
|
|
|
i, |
|
|
|
j, |
|
|
|
inputMu, |
|
|
|
covs, |
|
|
|
covsModel, |
|
|
|
covsWeights, |
|
|
|
covsNoB, |
|
|
|
covsModelNoB, |
|
|
|
covsWeightsNoB, |
|
|
|
pdfPages, |
|
|
|
offset = 0.004 , |
|
|
|
numberOfBins = 10 , |
|
|
|
plotData = True , |
|
|
|
topPlot = False , |
|
|
|
log = None |
|
) |
| |
Plot C_ij/mu vs mu.
Figs. 8, 10, and 11 of Astier+19
Parameters
----------
i : `int`
Covariane lag
j : `int`
Covariance lag
inputMu : `dict`, [`str`, `list`]
Dictionary keyed by amp name with mean signal values.
covs : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing a list of measued covariances per mean flux.
covsModel : `dict`, [`str`, `list`]
Dictionary keyed by amp names containinging covariances model (Eq. 20 of Astier+19) per mean flux.
covsWeights : `dict`, [`str`, `list`]
Dictionary keyed by amp names containinging sqrt. of covariances weights.
covsNoB : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing a list of measued covariances per mean flux ('b'=0 in
Astier+19).
covsModelNoB : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing covariances model (with 'b'=0 in Eq. 20 of Astier+19)
per mean flux.
covsWeightsNoB : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing sqrt. of covariances weights ('b' = 0 in Eq. 20 of
Astier+19).
expIdMask : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing the masked exposure pairs.
pdfPages: `matplotlib.backends.backend_pdf.PdfPages`
PDF file where the plots will be saved.
offset : `float`, optional
Constant offset factor to plot covariances in same panel (so they don't overlap).
numberOfBins : `int`, optional
Number of bins for top and bottom plot.
plotData : `bool`, optional
Plot the data points?
topPlot : `bool`, optional
Plot the top plot with the covariances, and the bottom plot with the model residuals?
log : `lsst.log.Log`, optional
Logger to handle messages.
Definition at line 428 of file plotPtcGen2.py.
def lsst.cp.pipe.ptc.plotPtcGen2.PlotPhotonTransferCurveTaskGen2.plotRelativeBiasACoeffs |
( |
|
aDict, |
|
|
|
aDictNoB, |
|
|
|
fullCovsModel, |
|
|
|
fullCovsModelNoB, |
|
|
|
signalElectrons, |
|
|
|
gainDict, |
|
|
|
pdfPages, |
|
|
|
maxr = None |
|
) |
| |
|
static |
Fig. 15 in Astier+19.
Illustrates systematic bias from estimating 'a'
coefficients from the slope of correlations as opposed to the
full model in Astier+19.
Parameters
----------
aDict: `dict`
Dictionary of 'a' matrices (Eq. 20, Astier+19), with amp names as keys.
aDictNoB: `dict`
Dictionary of 'a' matrices ('b'= 0 in Eq. 20, Astier+19), with amp names as keys.
fullCovsModel : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing covariances model per mean flux.
fullCovsModelNoB : `dict`, [`str`, `list`]
Dictionary keyed by amp names containing covariances model (with 'b'=0 in Eq. 20 of
Astier+19) per mean flux.
signalElectrons : `float`
Signal at which to evaluate the a_ij coefficients.
pdfPages: `matplotlib.backends.backend_pdf.PdfPages`
PDF file where the plots will be saved.
gainDict : `dict`, [`str`, `float`]
Dicgionary keyed by amp names with the gains in e-/ADU.
maxr : `int`, optional
Maximum lag.
Definition at line 765 of file plotPtcGen2.py.