示例#1
0
    def writeFcr(self, dataRefList):
        self.log.info("Write Fcr ...")
        M_LN10 = math.log(10)
        dmag = list()
        for m in self.matchVec:
            if (m.good == True and m.mag != -9999 and m.jstar != -1 and
                m.mag0 != -9999 and m.mag_cat != -9999):
                mag = m.mag
                mag_cat = m.mag_cat
                exp_cor = -2.5*math.log10(self.fexp[m.iexp])
                chip_cor = -2.5*math.log10(self.fchip[m.ichip])
                gain_cor = self.ffpSet[m.iexp].eval(m.u, m.v)
                mag_cor = mag + exp_cor + chip_cor + gain_cor
                dmag.append(mag_cor - mag_cat)
        std, mean, n  = mosaicUtils.clippedStd(numpy.array(dmag), 2.1)
        for dataRef in dataRefList:
            iexp = dataRef.dataId["visit"]
            ichip = dataRef.dataId["ccd"]
            try:
                x0 = self.coeffSet[iexp].x0
                y0 = self.coeffSet[iexp].y0
            except:
                x0 = 0.0
                y0 = 0.0
            newP = measMosaic.convertFluxFitParams(measMosaic.FluxFitParams(self.ffpSet[iexp]),
                                                   self.ccdSet[ichip], x0, y0)
            metadata = measMosaic.metadataFromFluxFitParams(newP)
            exp = afwImage.ExposureI(0,0)
            exp.getMetadata().combine(metadata)
            scale = self.fexp[iexp]*self.fchip[ichip]
            constantPhotoCalib = afwImage.makePhotoCalibFromCalibZeroPoint(1.0/scale, 1.0/scale*std*M_LN10*0.4)
            exp.setPhotoCalib(constantPhotoCalib)
            try:
                dataRef.put(exp, "fcr")
            except Exception as e:
                print("failed to write fcr: %s" % (e))

            # Write the flux fit (including Jacobian) as a PhotoCalib for
            # future compatibility with jointcal.  This is redundant with
            # the above, and should eventually supercede it.
            detector = dataRef.get("camera")[dataRef.dataId["ccd"]]
            nQuarter = detector.getOrientation().getNQuarter()
            bbox = detector.getBBox()
            try:
                # Reading the Wcs we just wrote obviously isn't efficient, but
                # it should be in the noise of the overall runtime and it
                # saves us from doing a bunch of refactoring in a fragile
                # package with no tests.
                wcs = dataRef.get("jointcal_wcs")
            except Exception as e:
                print("failed to read Wcs for PhotoCalib: %s" % (e))
                continue
            bf = measMosaic.FluxFitBoundedField(bbox, newP, wcs,
                                                zeroPoint=constantPhotoCalib.getInstFluxAtZeroMagnitude(),
                                                nQuarter=nQuarter)
            varyingPhotoCalib = afwImage.PhotoCalib(constantPhotoCalib.getCalibrationMean(),
                                                    constantPhotoCalib.getCalibrationErr(),
                                                    bf,
                                                    isConstant=False)
            dataRef.put(varyingPhotoCalib, "jointcal_photoCalib")
示例#2
0
def printMags(butler, dataId):
    """A simple function to print the RA and Dec, and magnitudes of sources
    """

    # load the sources
    sources = butler.get('src', dataId)
    n = len(sources)

    # get the fluxes as numpy arrays.  For aperture fluxes, use getApFlux()
    flux, ferr = sources.getPsfFlux(), sources.getPsfFluxErr()
    mag, merr = 2.5 * numpy.log10(flux), 2.5 / numpy.log(10) * (ferr / flux)

    # get the zeropoint, and apply ubercal correction if available
    if butler.datasetExists('fcr_md', dataId):
        fcr_md = butler.get("fcr_md", dataId)
        ffp = measMosaic.FluxFitParams(fcr_md)
        x, y = sources.getX(), sources.getY()
        correction = numpy.array([ffp.eval(x[i], y[i]) for i in range(n)])
        zeropoint = 2.5 * numpy.log10(fcr_md.get("FLUXMAG0")) + correction
    else:
        metadata = butler.get('calexp_md', dataId)
        zeropoint = 2.5 * numpy.log10(metadata.get("FLUXMAG0"))

    mag = zeropoint - mag

    for i in range(n):
        print sources[i].getRa().asDegrees(), sources[i].getDec().asDegrees(
        ), mag[i], merr[i]
 def writeFcr(self, butler, ccdIdList, ccdSet, filterName, fexp, fchip,
              ffpSet):
     for ccdId in ccdIdList:
         iexp, ichip = self.decodeCcdExposureId(ccdId)
         if ichip not in ccdSet:
             continue
         x0 = 0.0
         y0 = 0.0
         newP = measMosaic.convertFluxFitParams(
             measMosaic.FluxFitParams(ffpSet[iexp]), ccdSet[ichip], x0, y0)
         metadata = measMosaic.metadataFromFluxFitParams(newP)
         exp = afwImage.ExposureI(0, 0)
         exp.getMetadata().combine(metadata)
         scale = fexp[iexp] * fchip[ichip]
         exp.setPhotoCalib(
             afwImage.makePhotoCalibFromCalibZeroPoint(1.0 / scale))
         exp.setFilter(afwImage.Filter(filterName))
         try:
             butler.put(exp, 'fcr', {'visit': iexp, 'ccd': ichip})
         except Exception as e:
             print("failed to write something: %s" % (e))
    def run(self, matchLists, filterName, wcsList, butler):

        if self.config.applyColorTerms:
            ct = self.config.colorterms.selectColorTerm(filterName)
        else:
            ct = None

        # Convert matchLists to meas_mosaic specific format
        mlVisit = dict()
        for ccdId in matchLists:
            if matchLists[ccdId] is None:
                continue
            visit, ccd = self.decodeCcdExposureId(ccdId)
            if visit not in mlVisit:
                mlVisit[visit] = list()
            matches = [m for m in matchLists[ccdId] if m[0] is not None]
            keys = self.getKeys(matches[0][1].schema)
            matches = self.selectMatches(matches, keys)
            matches = self.selectStars(matches)

            # Apply color term
            if ct is not None and len(matches) != 0:
                refSchema = matches[0][0].schema
                key_p = refSchema.find(ct.primary).key
                key_s = refSchema.find(ct.secondary).key
                key_f = refSchema.find("flux").key
                refFlux1 = numpy.array([m[0].get(key_p) for m in matches])
                refFlux2 = numpy.array([m[0].get(key_s) for m in matches])
                refMag1 = -2.5 * numpy.log10(refFlux1)
                refMag2 = -2.5 * numpy.log10(refFlux2)
                refMag = ct.transformMags(refMag1, refMag2)
                refFlux = numpy.power(10.0, -0.4 * refMag)
                matches = [
                    self.setCatFlux(m, f, key_f)
                    for m, f in zip(matches, refFlux) if f == f
                ]

            for m in matches:
                if m[0] is not None and m[1] is not None:
                    match = (measMosaic.Source(m[0], wcsList[ccdId]),
                             measMosaic.Source(m[1]))
                    match[1].setExp(visit)
                    match[1].setChip(ccd)
                    mlVisit[visit].append(match)

        matchList = []
        for visit in mlVisit:
            matchList.append(mlVisit[visit])

        rootMat = measMosaic.kdtreeMat(matchList)
        allMat = rootMat.mergeMat()

        # Read CCD information
        ccdSet = {}
        for ccdId in matchLists:
            if matchLists[ccdId] is None:
                continue
            visit, ccd = self.decodeCcdExposureId(ccdId)
            if ccd not in ccdSet:
                ccdDev = cameraGeomUtils.findCcd(butler.mapper.camera,
                                                 cameraGeom.Id(int(ccd)))
                ccdSet[ccd] = ccdDev

        # meas_mosaic specific wcs information
        wcsDic = {}
        for ccdId in wcsList:
            visit, ccd = self.decodeCcdExposureId(ccdId)
            if visit not in wcsDic and wcsList[ccdId] is not None:
                wcs = wcsList[ccdId]
                ccdDev = ccdSet[ccd]
                offset = afwGeom.Extent2D(ccdDev.getCenter().getPixels(
                    ccdDev.getPixelSize()))
                wcsDic[visit] = wcs.copyAtShiftedPixelOrigin(offset)

        # meas_mosaic specific object list
        matchVec = measMosaic.obsVecFromSourceGroup(allMat, wcsDic, ccdSet)
        sourceVec = []

        # Apply Jocabian correction calculated from wcs
        for m in matchVec:
            wcs = wcsList[m.iexp * 200 + m.ichip]
            m.mag -= 2.5 * math.log10(
                measMosaic.computeJacobian(wcs, afwGeom.Point2D(m.x, m.y)))

        fluxFitOrder = self.config.fluxFitOrder
        absolute = True
        chebyshev = True
        commonFluxCorr = False
        solveCcdScale = True
        ffpSet = {}
        for visit in wcsDic:
            ffp = measMosaic.FluxFitParams(fluxFitOrder, absolute, chebyshev)
            u_max, v_max = self.getExtent(matchVec)
            ffp.u_max = (math.floor(u_max / 10.) + 1) * 10
            ffp.v_max = (math.floor(v_max / 10.) + 1) * 10
            ffpSet[visit] = ffp

        fexp = {}
        fchip = {}

        matchVec, sourceVec, wcsDic, ccdSet, fexp, fchip, ffpSet = measMosaic.fluxFit(
            absolute, commonFluxCorr, matchVec, len(matchVec), sourceVec,
            len(sourceVec), wcsDic, ccdSet, fexp, fchip, ffpSet, solveCcdScale)

        self.writeFcr(butler, list(matchLists.keys()), ccdSet, filterName,
                      fexp, fchip, ffpSet)

        return (1.0 / fexp[list(fexp.keys())[0]])
示例#5
0
    def mosaic(self,
               dataRefList,
               tractInfo,
               ct=None,
               debug=False,
               diagDir=".",
               diagnostics=False,
               snapshots=False,
               numCoresForReadSource=1,
               readTimeout=9999,
               verbose=False):

        self.log.info(str(self.config))

        self.outputDir = os.path.join(diagDir, "%04d" % tractInfo.getId())

        if ((diagnostics or snapshots) and not os.path.isdir(self.outputDir)):
            os.makedirs(self.outputDir)

        if self.config.nBrightest != 0:
            self.log.fatal("Config paremeter nBrightest is deprecated.")
            self.log.fatal("Please use cellSize and nStarPerCell.")
            self.log.fatal("Exiting ...")
            return []

        dataRefListOverlapWithTract, dataRefListToUse = self.checkOverlapWithTract(
            tractInfo, dataRefList)

        sourceSet, matchList, dataRefListUsed = self.readCatalog(
            dataRefListToUse, ct, numCoresForReadSource, readTimeout, verbose)

        dataRefListToOutput = list(
            set(dataRefListUsed) & set(dataRefListOverlapWithTract))

        ccdSet = self.readCcd(dataRefListUsed)

        if debug:
            for ccd in ccdSet.values():
                self.log.info(
                    str(ccd.getId().getSerial()) + " " +
                    str(ccd.getCenter().getPixels(ccd.getPixelSize())) + " " +
                    str(ccd.getOrientation().getYaw()))

        wcsDic = self.readWcs(dataRefListUsed, ccdSet)

        self.removeNonExistCcd(dataRefListUsed, ccdSet)

        if debug:
            for iexp, wcs in wcsDic.items():
                self.log.info(
                    str(iexp) + " " + str(wcs.getPixelOrigin()) + " " +
                    str(wcs.getSkyOrigin().getPosition(afwGeom.degrees)))

        self.log.info("frameIds : " + str(list(wcsDic.keys())))
        self.log.info("ccdIds : " + str(list(ccdSet.keys())))

        d_lim = afwGeom.Angle(self.config.radXMatch, afwGeom.arcseconds)
        if debug:
            self.log.info("d_lim : %f" % d_lim)

        allMat, allSource = self.mergeCatalog(sourceSet, matchList, ccdSet,
                                              d_lim)

        self.log.info("Flag suspect objects")
        measMosaic.flagSuspect(allMat, allSource, wcsDic)

        if self.config.clipSourcesOutsideTract:
            tractBBox = afwGeom.Box2D(tractInfo.getBBox())
            tractWcs = tractInfo.getWcs()
            allSourceClipped = [
                ss for ss in allSource
                if tractBBox.contains(tractWcs.skyToPixel(ss[0].getSky()))
            ]
            self.log.info("Num of allSources: %d" % (len(allSource)))
            self.log.info("Num of clipped allSources: %d" %
                          (len(allSourceClipped)))
            allSource = allSourceClipped

        self.log.info("Make obsVec")
        nmatch = len(allMat)
        nsource = len(allSource)
        matchVec = measMosaic.obsVecFromSourceGroup(allMat, wcsDic, ccdSet)
        sourceVec = measMosaic.obsVecFromSourceGroup(allSource, wcsDic, ccdSet)

        self.log.info("Solve mosaic ...")
        order = self.config.fittingOrder
        internal = self.config.internalFitting
        solveCcd = self.config.solveCcd
        allowRotation = self.config.allowRotation
        fluxFitOrder = self.config.fluxFitOrder
        chebyshev = self.config.chebyshev
        absolute = self.config.fluxFitAbsolute
        solveCcdScale = self.config.fluxFitSolveCcd
        catRMS = self.config.catRMS

        if not internal:
            sourceVec = []

        if debug:
            self.log.info("order : %d" % order)
            self.log.info("internal : %r" % internal)
            self.log.info("solveCcd : %r " % solveCcd)
            self.log.info("allowRotation : %r" % allowRotation)

        if self.config.doSolveWcs:
            if internal:
                coeffSet, matchVec, sourceVec, wcsDic, ccdSet = measMosaic.solveMosaic_CCD(
                    order, nmatch, nsource, matchVec, sourceVec, wcsDic,
                    ccdSet, solveCcd, allowRotation, verbose, catRMS,
                    snapshots, self.outputDir)
            else:
                coeffSet, matchVec, wcsDic, ccdSet = measMosaic.solveMosaic_CCD_shot(
                    order, nmatch, matchVec, wcsDic, ccdSet, solveCcd,
                    allowRotation, verbose, catRMS, snapshots, self.outputDir)

            self.matchVec = matchVec
            self.sourceVec = sourceVec
            self.wcsDic = wcsDic
            self.ccdSet = ccdSet
            self.coeffSet = coeffSet

            self.writeNewWcs(dataRefListToOutput)

            if diagnostics:
                self.outputDiagWcs()

            for m in matchVec:
                coeff = coeffSet[m.iexp]
                scale = coeff.pixelScale()
                m.mag -= 2.5 * math.log10(coeff.detJ(m.u, m.v) / scale**2)

            if len(sourceVec) != 0:
                for s in sourceVec:
                    coeff = coeffSet[s.iexp]
                    scale = coeff.pixelScale()
                    s.mag -= 2.5 * math.log10(coeff.detJ(s.u, s.v) / scale**2)

        else:

            wcsAll = dict()

            for dataRef in dataRefListUsed:
                frameId = "%07d-%03d" % (dataRef.dataId["visit"],
                                         dataRef.dataId["ccd"])
                md = dataRef.get("calexp_md")
                wcsAll[frameId] = afwGeom.makeSkyWcs(md)
                del md

            for m in matchVec:
                wcs = wcsAll["%07d-%03d" % (m.iexp, m.ichip)]
                m.mag -= 2.5 * math.log10(
                    measMosaic.computeJacobian(wcs, afwGeom.Point2D(m.x, m.y)))

            if len(sourceVec) != 0:
                for s in sourceVec:
                    wcs = wcsAll["%07d-%03d" % (s.iexp, s.ichip)]
                    s.mag -= 2.5 * math.log10(
                        measMosaic.computeJacobian(wcs,
                                                   afwGeom.Point2D(s.x, s.y)))

            del wcsAll

        if self.config.doSolveFlux:

            ffpSet = {}
            for visit in wcsDic:
                ffp = measMosaic.FluxFitParams(fluxFitOrder, absolute,
                                               chebyshev)
                u_max, v_max = mosaicUtils.getExtent(matchVec)
                ffp.u_max = (math.floor(u_max / 10.0) + 1) * 10
                ffp.v_max = (math.floor(v_max / 10.0) + 1) * 10
                ffpSet[visit] = ffp

            fexp = {}
            fchip = {}

            matchVec, sourceVec, wcsDic, ccdSet, fexp, fchip, ffpSet = measMosaic.fluxFit(
                absolute, self.config.commonFluxCorr, matchVec, len(matchVec),
                sourceVec, len(sourceVec), wcsDic, ccdSet, fexp, fchip, ffpSet,
                solveCcdScale)

            self.ffpSet = ffpSet
            self.fexp = fexp
            self.fchip = fchip

            self.writeFcr(dataRefListToOutput)

            if diagnostics:
                self.outputDiagFlux()

        if diagnostics and self.config.doSolveWcs and self.config.doSolveFlux:
            if len(sourceVec) != 0:
                mosaicUtils.writeCatalog(
                    coeffSet, ffpSet, fexp, fchip, matchVec, sourceVec,
                    os.path.join(self.outputDir, "catalog.fits"))

        return list(wcsDic.keys())
    def run(self, dataRefList, ct=None, debug=False, verbose=False):
        ccdSet = self.readCcd(dataRefList)
        self.removeNonExistCcd(dataRefList, ccdSet)

        sourceSet = []
        matchList = []
        astrom = measAstrom.ANetBasicAstrometryTask(self.config.astrom)
        ssVisit = dict()
        mlVisit = dict()
        dataRefListUsed = list()
        wcsDic = dict()
        calibDic = dict()
        ffpDic = dict()
        for dataRef in dataRefList:
            if dataRef.dataId['visit'] not in ssVisit:
                ssVisit[dataRef.dataId['visit']] = list()
                mlVisit[dataRef.dataId['visit']] = list()
                wcsDic[dataRef.dataId['visit']] = dict()
                calibDic[dataRef.dataId['visit']] = dict()
                ffpDic[dataRef.dataId['visit']] = dict()

            try:
                if not dataRef.datasetExists('src'):
                    raise RuntimeError("no data for src %s" % (dataRef.dataId))

                if not dataRef.datasetExists('jointcal_wcs'):
                    raise RuntimeError("no data for wcs %s" % (dataRef.dataId))

                if not dataRef.datasetExists('fcr'):
                    raise RuntimeError("no data for fcr %s" % (dataRef.dataId))

                wcs = dataRef.get('jointcal_wcs')

                md = dataRef.get('calexp_md')
                filterName = afwImage.Filter(md).getName()

                md = dataRef.get('fcr_md')
                ffp = measMosaic.FluxFitParams(md)
                photoCalib = afwImage.makePhotoCalibFromMetadata(md)

                sources = dataRef.get('src',
                              flags=afwTable.SOURCE_IO_NO_FOOTPRINTS,
                              immediate=True)

                icSrces = dataRef.get('icSrc',
                              flags=afwTable.SOURCE_IO_NO_FOOTPRINTS,
                              immediate=True)
                packedMatches = dataRef.get('icMatch')
                matches = astrom.joinMatchListWithCatalog(packedMatches, icSrces)

                matches = [m for m in matches if m[0] is not None]

                if matches:
                    refSchema = matches[0][0].schema
                    if ct:
                        # Add a "flux" field to the match records which contains the
                        # colorterm-corrected reference flux. The field name is hard-coded in
                        # lsst::meas::mosaic::Source.
                        mapper = afwTable.SchemaMapper(refSchema)
                        for key, field in refSchema:
                            mapper.addMapping(key)
                        key_f = mapper.editOutputSchema().addField("flux", type=float, doc="Reference flux")
                        table = afwTable.SimpleTable.make(mapper.getOutputSchema())
                        table.preallocate(len(matches))
                        for match in matches:
                            newMatch = table.makeRecord()
                            newMatch.assign(match[0], mapper)
                            match[0] = newMatch

                        key_p = refSchema.find(refSchema.join(ct.primary, "flux")).key
                        key_s = refSchema.find(refSchema.join(ct.secondary, "flux")).key
                        refFlux1 = numpy.array([m[0].get(key_p) for m in matches])
                        refFlux2 = numpy.array([m[0].get(key_s) for m in matches])
                        refMag1 = -2.5*numpy.log10(refFlux1)
                        refMag2 = -2.5*numpy.log10(refFlux2)
                        refMag = ct.transformMags(refMag1, refMag2)
                        refFlux = numpy.power(10.0, -0.4*refMag)
                        matches = [setCatFlux(m, f, key_f) for m, f in zip(matches, refFlux) if f == f]
                    else:
                        # No colorterm; we can get away with aliasing the reference flux.
                        refFluxField = measAlg.getRefFluxField(refSchema, filterName)
                        refSchema.getAliasMap().set("flux", refFluxField)

                sources = self.selectStars(sources)
                matches = self.selectStars(matches, True)
            except Exception as e:
                print("Failed to read: %s" % (e))
                sources = None
                continue

            if sources is not None:
                for s in sources:
                    if numpy.isfinite(s.getRa().asDegrees()): # get rid of NaN
                        src = measMosaic.Source(s)
                        src.setExp(dataRef.dataId['visit'])
                        src.setChip(dataRef.dataId['ccd'])
                        ssVisit[dataRef.dataId['visit']].append(src)
                for m in matches:
                    if m[0] is not None and m[1] is not None:
                        match = (measMosaic.Source(m[0], wcs), measMosaic.Source(m[1]))
                        match[1].setExp(dataRef.dataId['visit'])
                        match[1].setChip(dataRef.dataId['ccd'])
                        mlVisit[dataRef.dataId['visit']].append(match)
                wcsDic[dataRef.dataId['visit']][dataRef.dataId['ccd']] = wcs
                calibDic[dataRef.dataId['visit']][dataRef.dataId['ccd']] = photoCalib
                ffpDic[dataRef.dataId['visit']][dataRef.dataId['ccd']] = ffp
                dataRefListUsed.append(dataRef)

        for visit in ssVisit:
            sourceSet.append(ssVisit[visit])
            matchList.append(mlVisit[visit])

        d_lim = afwGeom.Angle(self.config.radXMatch, afwGeom.arcseconds)
        nbrightest = self.config.nBrightest

        allMat, allSource = self.mergeCatalog(sourceSet, matchList, ccdSet, d_lim)

        dx_m, dy_m, dx_s, dy_s, m0_m, dm_m, m0_s, dm_s  = self.makeDiffPosFlux(allMat, allSource, wcsDic, calibDic, ffpDic)
        self.plotFlux(m0_m, dm_m, m0_s, dm_s)
        self.makeFluxStat(allMat, allSource, calibDic, ffpDic, wcsDic)
        self.plotPos(dx_m, dy_m, dx_s, dy_s)
        self.plotPosAsMag(m0_s, dx_s, dy_s)
        self.writeCatalog(allSource, wcsDic, calibDic, ffpDic)