373 """Construct a calibration from a dictionary of properties.
374 Must be implemented by the specific calibration subclasses.
379 Dictionary of properties.
383 calib : `lsst.ip.isr.PhotonTransferCurveDataset`
384 Constructed calibration.
389 Raised if the supplied dictionary is for a different
393 if calib._OBSTYPE != dictionary[
'metadata'][
'OBSTYPE']:
394 raise RuntimeError(f
"Incorrect Photon Transfer Curve dataset supplied. "
395 f
"Expected {calib._OBSTYPE}, found {dictionary['metadata']['OBSTYPE']}")
396 calib.setMetadata(dictionary[
'metadata'])
397 calib.ptcFitType = dictionary[
'ptcFitType']
398 calib.covMatrixSide = dictionary[
'covMatrixSide']
399 calib.covMatrixSideFullCovFit = dictionary[
'covMatrixSideFullCovFit']
400 calib.badAmps = np.array(dictionary[
'badAmps'],
'str').tolist()
404 covMatrixSide = calib.covMatrixSide
405 covMatrixSideFullCovFit = calib.covMatrixSideFullCovFit
407 covDimensionsProduct = len(np.array(list(dictionary[
'covariances'].values())[0]).ravel())
408 nSignalPoints = int(covDimensionsProduct/(covMatrixSide*covMatrixSide))
410 for ampName
in dictionary[
'ampNames']:
411 calib.ampNames.append(ampName)
412 calib.inputExpIdPairs[ampName] = dictionary[
'inputExpIdPairs'][ampName]
413 calib.expIdMask[ampName] = np.array(dictionary[
'expIdMask'][ampName])
414 calib.rawExpTimes[ampName] = np.array(dictionary[
'rawExpTimes'][ampName], dtype=np.float64)
415 calib.rawMeans[ampName] = np.array(dictionary[
'rawMeans'][ampName], dtype=np.float64)
416 calib.rawVars[ampName] = np.array(dictionary[
'rawVars'][ampName], dtype=np.float64)
417 calib.rowMeanVariance[ampName] = np.array(dictionary[
'rowMeanVariance'][ampName],
419 calib.gain[ampName] = float(dictionary[
'gain'][ampName])
420 calib.gainErr[ampName] = float(dictionary[
'gainErr'][ampName])
421 calib.noise[ampName] = float(dictionary[
'noise'][ampName])
422 calib.noiseErr[ampName] = float(dictionary[
'noiseErr'][ampName])
423 calib.histVars[ampName] = np.array(dictionary[
'histVars'][ampName], dtype=np.float64)
424 calib.histChi2Dofs[ampName] = np.array(dictionary[
'histChi2Dofs'][ampName], dtype=np.float64)
425 calib.kspValues[ampName] = np.array(dictionary[
'kspValues'][ampName], dtype=np.float64)
426 calib.ptcFitPars[ampName] = np.array(dictionary[
'ptcFitPars'][ampName], dtype=np.float64)
427 calib.ptcFitParsError[ampName] = np.array(dictionary[
'ptcFitParsError'][ampName],
429 calib.ptcFitChiSq[ampName] = float(dictionary[
'ptcFitChiSq'][ampName])
430 calib.ptcTurnoff[ampName] = float(dictionary[
'ptcTurnoff'][ampName])
431 if nSignalPoints > 0:
433 calib.covariances[ampName] = np.array(dictionary[
'covariances'][ampName],
434 dtype=np.float64).reshape(
435 (nSignalPoints, covMatrixSide, covMatrixSide))
436 calib.covariancesModel[ampName] = np.array(
437 dictionary[
'covariancesModel'][ampName],
438 dtype=np.float64).reshape(
439 (nSignalPoints, covMatrixSideFullCovFit, covMatrixSideFullCovFit))
440 calib.covariancesSqrtWeights[ampName] = np.array(
441 dictionary[
'covariancesSqrtWeights'][ampName],
442 dtype=np.float64).reshape(
443 (nSignalPoints, covMatrixSide, covMatrixSide))
444 calib.aMatrix[ampName] = np.array(dictionary[
'aMatrix'][ampName],
445 dtype=np.float64).reshape(
446 (covMatrixSideFullCovFit, covMatrixSideFullCovFit))
447 calib.bMatrix[ampName] = np.array(dictionary[
'bMatrix'][ampName],
448 dtype=np.float64).reshape(
449 (covMatrixSideFullCovFit, covMatrixSideFullCovFit))
450 calib.covariancesModelNoB[ampName] = np.array(
451 dictionary[
'covariancesModelNoB'][ampName], dtype=np.float64).reshape(
452 (nSignalPoints, covMatrixSideFullCovFit, covMatrixSideFullCovFit))
453 calib.aMatrixNoB[ampName] = np.array(
454 dictionary[
'aMatrixNoB'][ampName],
455 dtype=np.float64).reshape((covMatrixSideFullCovFit, covMatrixSideFullCovFit))
456 calib.noiseMatrix[ampName] = np.array(
457 dictionary[
'noiseMatrix'][ampName],
458 dtype=np.float64).reshape((covMatrixSideFullCovFit, covMatrixSideFullCovFit))
459 calib.noiseMatrixNoB[ampName] = np.array(
460 dictionary[
'noiseMatrixNoB'][ampName],
461 dtype=np.float64).reshape((covMatrixSideFullCovFit, covMatrixSideFullCovFit))
464 calib.covariances[ampName] = np.array([], dtype=np.float64)
465 calib.covariancesModel[ampName] = np.array([], dtype=np.float64)
466 calib.covariancesSqrtWeights[ampName] = np.array([], dtype=np.float64)
467 calib.aMatrix[ampName] = np.array([], dtype=np.float64)
468 calib.bMatrix[ampName] = np.array([], dtype=np.float64)
469 calib.covariancesModelNoB[ampName] = np.array([], dtype=np.float64)
470 calib.aMatrixNoB[ampName] = np.array([], dtype=np.float64)
471 calib.noiseMatrix[ampName] = np.array([], dtype=np.float64)
472 calib.noiseMatrixNoB[ampName] = np.array([], dtype=np.float64)
474 calib.finalVars[ampName] = np.array(dictionary[
'finalVars'][ampName], dtype=np.float64)
475 calib.finalModelVars[ampName] = np.array(dictionary[
'finalModelVars'][ampName], dtype=np.float64)
476 calib.finalMeans[ampName] = np.array(dictionary[
'finalMeans'][ampName], dtype=np.float64)
477 calib.photoCharges[ampName] = np.array(dictionary[
'photoCharges'][ampName], dtype=np.float64)
479 for key, value
in dictionary[
'auxValues'].items():
480 calib.auxValues[key] = np.atleast_1d(np.array(value, dtype=np.float64))
482 calib.updateMetadata()
486 """Return a dictionary containing the calibration properties.
487 The dictionary should be able to be round-tripped through
493 Dictionary of properties.
499 outDict[
'metadata'] = metadata
501 def _dictOfArraysToDictOfLists(dictOfArrays):
503 for key, value
in dictOfArrays.items():
504 dictOfLists[key] = value.ravel().tolist()
512 outDict[
'badAmps'] = self.
badAmps
514 outDict[
'expIdMask'] = _dictOfArraysToDictOfLists(self.
expIdMask)
515 outDict[
'rawExpTimes'] = _dictOfArraysToDictOfLists(self.
rawExpTimes)
516 outDict[
'rawMeans'] = _dictOfArraysToDictOfLists(self.
rawMeans)
517 outDict[
'rawVars'] = _dictOfArraysToDictOfLists(self.
rawVars)
518 outDict[
'rowMeanVariance'] = _dictOfArraysToDictOfLists(self.
rowMeanVariance)
519 outDict[
'gain'] = self.
gain
520 outDict[
'gainErr'] = self.
gainErr
521 outDict[
'noise'] = self.
noise
526 outDict[
'ptcFitPars'] = _dictOfArraysToDictOfLists(self.
ptcFitPars)
527 outDict[
'ptcFitParsError'] = _dictOfArraysToDictOfLists(self.
ptcFitParsError)
530 outDict[
'covariances'] = _dictOfArraysToDictOfLists(self.
covariances)
531 outDict[
'covariancesModel'] = _dictOfArraysToDictOfLists(self.
covariancesModel)
533 outDict[
'aMatrix'] = _dictOfArraysToDictOfLists(self.
aMatrix)
534 outDict[
'bMatrix'] = _dictOfArraysToDictOfLists(self.
bMatrix)
535 outDict[
'noiseMatrix'] = _dictOfArraysToDictOfLists(self.
noiseMatrix)
537 outDict[
'aMatrixNoB'] = _dictOfArraysToDictOfLists(self.
aMatrixNoB)
538 outDict[
'noiseMatrixNoB'] = _dictOfArraysToDictOfLists(self.
noiseMatrixNoB)
539 outDict[
'finalVars'] = _dictOfArraysToDictOfLists(self.
finalVars)
540 outDict[
'finalModelVars'] = _dictOfArraysToDictOfLists(self.
finalModelVars)
541 outDict[
'finalMeans'] = _dictOfArraysToDictOfLists(self.
finalMeans)
542 outDict[
'photoCharges'] = _dictOfArraysToDictOfLists(self.
photoCharges)
543 outDict[
'auxValues'] = _dictOfArraysToDictOfLists(self.
auxValues)