Python Sed.calcMag方法代码示例

# 需要导入模块: from lsst.sims.photUtils.Sed import Sed [as 别名]
# 或者: from lsst.sims.photUtils.Sed.Sed import calcMag [as 别名]
    def calcMagNorm(self, objectMags, sedObj, bandpassDict, mag_error = None,
                    redshift = None, filtRange = None):

        """
        This will find the magNorm value that gives the closest match to the magnitudes of the object
        using the matched SED. Uses scipy.optimize.leastsq to find the values of fluxNorm that minimizes
        the function: ((flux_obs - (fluxNorm*flux_model))/flux_error)**2.

        @param [in] objectMags are the magnitude values for the object with extinction matching that of
        the SED object. In the normal case using the selectSED routines above it will be dereddened mags.

        @param [in] sedObj is an Sed class instance that is set with the wavelength and flux of the
        matched SED

        @param [in] bandpassDict is a BandpassDict class instance with the Bandpasses set to those
        for the magnitudes given for the catalog object

        @param [in] mag_error are provided error values for magnitudes in objectMags. If none provided
        then this defaults to 1.0. This should be an array of the same length as objectMags.

        @param [in] redshift is the redshift of the object if the magnitude is observed

        @param [in] filtRange is a selected range of filters specified by their indices in the bandpassList
        to match up against. Used when missing data in some magnitude bands.

        @param [out] bestMagNorm is the magnitude normalization for the given magnitudes and SED
        """

        import scipy.optimize as opt

        sedTest = Sed()
        sedTest.setSED(sedObj.wavelen, flambda = sedObj.flambda)
        if redshift is not None:
            sedTest.redshiftSED(redshift)
        imSimBand = Bandpass()
        imSimBand.imsimBandpass()
        zp = -2.5*np.log10(3631)  #Note using default AB zeropoint
        flux_obs = np.power(10,(objectMags + zp)/(-2.5))
        sedTest.resampleSED(wavelen_match=bandpassDict.values()[0].wavelen)
        sedTest.flambdaTofnu()
        flux_model = sedTest.manyFluxCalc(bandpassDict.phiArray, bandpassDict.wavelenStep)
        if filtRange is not None:
            flux_obs = flux_obs[filtRange]
            flux_model = flux_model[filtRange]
        if mag_error is None:
            flux_error = np.ones(len(flux_obs))
        else:
            flux_error = np.abs(flux_obs*(np.log(10)/(-2.5))*mag_error)
        bestFluxNorm = opt.leastsq(lambda x: ((flux_obs - (x*flux_model))/flux_error), 1.0)[0][0]
        sedTest.multiplyFluxNorm(bestFluxNorm)
        bestMagNorm = sedTest.calcMag(imSimBand)
        return bestMagNorm

# 需要导入模块: from lsst.sims.photUtils.Sed import Sed [as 别名]
# 或者: from lsst.sims.photUtils.Sed.Sed import calcMag [as 别名]
    def testSignalToNoise(self):
        """
        Test that calcSNR_m5 and calcSNR_sed give similar results
        """
        defaults = LSSTdefaults()
        photParams = PhotometricParameters()
        totalDict, hardwareDict = BandpassDict.loadBandpassesFromFiles()

        skySED = Sed()
        skySED.readSED_flambda(os.path.join(lsst.utils.getPackageDir("throughputs"), "baseline", "darksky.dat"))

        m5 = []
        for filt in totalDict:
            m5.append(calcM5(skySED, totalDict[filt], hardwareDict[filt], photParams, seeing=defaults.seeing(filt)))

        sedDir = lsst.utils.getPackageDir("sims_sed_library")
        sedDir = os.path.join(sedDir, "starSED", "kurucz")
        fileNameList = os.listdir(sedDir)

        numpy.random.seed(42)
        offset = numpy.random.random_sample(len(fileNameList)) * 2.0

        for ix, name in enumerate(fileNameList):
            if ix > 100:
                break
            spectrum = Sed()
            spectrum.readSED_flambda(os.path.join(sedDir, name))
            ff = spectrum.calcFluxNorm(m5[2] - offset[ix], totalDict.values()[2])
            spectrum.multiplyFluxNorm(ff)
            magList = []
            controlList = []
            magList = []
            for filt in totalDict:
                controlList.append(
                    calcSNR_sed(
                        spectrum, totalDict[filt], skySED, hardwareDict[filt], photParams, defaults.seeing(filt)
                    )
                )

                magList.append(spectrum.calcMag(totalDict[filt]))

            testList, gammaList = calcSNR_m5(
                numpy.array(magList), numpy.array(totalDict.values()), numpy.array(m5), photParams
            )

            for tt, cc in zip(controlList, testList):
                msg = "%e != %e " % (tt, cc)
                self.assertTrue(numpy.abs(tt / cc - 1.0) < 0.001, msg=msg)

# 需要导入模块: from lsst.sims.photUtils.Sed import Sed [as 别名]
# 或者: from lsst.sims.photUtils.Sed.Sed import calcMag [as 别名]
    def testAlternateBandpassesGalaxies(self):
        """
        the same as testAlternateBandpassesStars, but for galaxies
        """

        obs_metadata_pointed = ObservationMetaData(mjd=50000.0,
                                                   boundType='circle',
                                                   pointingRA=0.0, pointingDec=0.0,
                                                   boundLength=10.0)

        dtype = np.dtype([('galid', np.int),
                          ('ra', np.float),
                          ('dec', np.float),
                          ('uTotal', np.float),
                          ('gTotal', np.float),
                          ('rTotal', np.float),
                          ('iTotal', np.float),
                          ('zTotal', np.float),
                          ('uBulge', np.float),
                          ('gBulge', np.float),
                          ('rBulge', np.float),
                          ('iBulge', np.float),
                          ('zBulge', np.float),
                          ('uDisk', np.float),
                          ('gDisk', np.float),
                          ('rDisk', np.float),
                          ('iDisk', np.float),
                          ('zDisk', np.float),
                          ('uAgn', np.float),
                          ('gAgn', np.float),
                          ('rAgn', np.float),
                          ('iAgn', np.float),
                          ('zAgn', np.float),
                          ('bulgeName', str, 200),
                          ('bulgeNorm', np.float),
                          ('bulgeAv', np.float),
                          ('diskName', str, 200),
                          ('diskNorm', np.float),
                          ('diskAv', np.float),
                          ('agnName', str, 200),
                          ('agnNorm', np.float),
                          ('redshift', np.float)])

        test_cat = cartoonGalaxies(self.galaxy, obs_metadata=obs_metadata_pointed)
        with lsst.utils.tests.getTempFilePath('.txt') as catName:
            test_cat.write_catalog(catName)
            catData = np.genfromtxt(catName, dtype=dtype, delimiter=', ')

        self.assertGreater(len(catData), 0)

        cartoonDir = getPackageDir('sims_photUtils')
        cartoonDir = os.path.join(cartoonDir, 'tests', 'cartoonSedTestData')
        sedDir = getPackageDir('sims_sed_library')

        testBandpasses = {}
        keys = ['u', 'g', 'r', 'i', 'z']

        for kk in keys:
            testBandpasses[kk] = Bandpass()
            testBandpasses[kk].readThroughput(os.path.join(cartoonDir, "test_bandpass_%s.dat" % kk))

        imsimBand = Bandpass()
        imsimBand.imsimBandpass()

        specMap = defaultSpecMap

        ct = 0
        for line in catData:
            bulgeMagList = []
            diskMagList = []
            agnMagList = []
            if line['bulgeName'] == 'None':
                for bp in keys:
                    np.testing.assert_equal(line['%sBulge' % bp], np.NaN)
                    bulgeMagList.append(np.NaN)
            else:
                ct += 1
                dummySed = Sed()
                dummySed.readSED_flambda(os.path.join(sedDir, specMap[line['bulgeName']]))
                fnorm = dummySed.calcFluxNorm(line['bulgeNorm'], imsimBand)
                dummySed.multiplyFluxNorm(fnorm)
                a_int, b_int = dummySed.setupCCM_ab()
                dummySed.addDust(a_int, b_int, A_v=line['bulgeAv'])
                dummySed.redshiftSED(line['redshift'], dimming=True)
                dummySed.resampleSED(wavelen_match=testBandpasses['u'].wavelen)
                for bpName in keys:
                    mag = dummySed.calcMag(testBandpasses[bpName])
                    self.assertAlmostEqual(mag, line['%sBulge' % bpName], 10)
                    bulgeMagList.append(mag)

            if line['diskName'] == 'None':
                for bp in keys:
                    np.assert_equal(line['%sDisk' % bp], np.NaN)
                    diskMagList.append(np.NaN)
            else:
                ct += 1
                dummySed = Sed()
                dummySed.readSED_flambda(os.path.join(sedDir, specMap[line['diskName']]))
                fnorm = dummySed.calcFluxNorm(line['diskNorm'], imsimBand)
                dummySed.multiplyFluxNorm(fnorm)
#.........这里部分代码省略.........