Ejemplo n.º 1
0
def centroidObs(obsPath,centroidPath,centroidRa,centroidDec,haOffset,xGuess,yGuess,hotPath,flatPath):
    obs = ObsFile(obsPath)
    print obsPath,obs.getFromHeader('exptime'),obs
    if not os.path.exists(hotPath):
        hp.findHotPixels(obsFile=obs,outputFileName=hotPath)
    obs.loadHotPixCalFile(hotPath,switchOnMask=False)
    obs.loadBestWvlCalFile()
    obs.loadFlatCalFile(flatPath)
    obs.setWvlCutoffs(3000,8000)
    cc.centroidCalc(obs,centroidRa,centroidDec,guessTime=300,integrationTime=30,secondMaxCountsForDisplay=2000,HA_offset=haOffset,xyapprox=[xGuess,yGuess],outputFileName=centroidPath)
    print 'done centroid',centroidPath
    del obs
def centroidObs(obsPath,centroidPath,centroidRa,centroidDec,haOffset,xGuess,yGuess):
    obs = ObsFile(obsPath)
    print obsPath,obs.getFromHeader('exptime'),obs
    obs.loadAllCals()
#    obs.loadBestWvlCalFile()
#    obs.loadFlatCalFile(flatPath)
    obs.setWvlCutoffs(3000,11000)
#    if not os.path.exists(hotPath):
#        hp.findHotPixels(obsFile=obs,outputFileName=hotPath,display=True,fwhm=2.,boxSize=5, nSigmaHot=4.0,)
#    obs.loadHotPixCalFile(hotPath,switchOnMask=True)
    cc.centroidCalc(obs,centroidRa,centroidDec,guessTime=300,integrationTime=30,secondMaxCountsForDisplay=2000,HA_offset=haOffset,xyapprox=[xGuess,yGuess],outputFileName=centroidPath,usePsfFit=True,radiusOfSearch=8)
    print 'done centroid',centroidPath
    del obs
Ejemplo n.º 3
0
    obsFN = FileName(run=run,date=date,tstamp=tstamp)
    obsPath = obsFN.obs()
     
    flatPath = FileName(run=run,date=date).flatSoln()
    hotPath = obsFN.timeMask()
    centroidPath = obsFN.centroidList()
    
    obs = ObsFile(obsPath)
    if not os.path.exists(hotPath):
        hp.findHotPixels(obsPath,hotPath)
    obs.loadHotPixCalFile(hotPath,switchOnMask=False)
    obs.loadBestWvlCalFile()
    obs.loadFlatCalFile(flatPath)
    obs.setWvlCutoffs(3000,8000)

    
    centroidRa = '03:37:43.826'
    centroidDec = '14:15:14.828'
    haOffset = 150.

    imgDict = obs.getPixelCountImage(integrationTime=60,scaleByEffInt=True)
    plotArray(imgDict['image'])
    

    xGuess = 18 #col
    yGuess = 15 #row
    cc.centroidCalc(obs,centroidRa,centroidDec,guessTime=300,integrationTime=30,secondMaxCountsForDisplay=2000,HA_offset=haOffset,xyapprox=[xGuess,yGuess],outputFileName=centroidPath)

    
def testWritePhotonList(outputFileName=None,firstSec=0,integrationTime=-1,doPixRemap=False):
    '''
    Test run of obsFile.writePhotonList. fileName can be used
    to specify the output file name. If not specified, default
    name/location is used.
    
    Now includes test for pixel remapping....
    '''

    #Details of example obs file to run test on.
#    run = 'PAL2012'
#    date = '20121207'
#    tstamp = '20121208-074649'
#    calTstamp='20121208-070505'
#    fluxTstamp='20121208-133002'

    run = 'PAL2013'
    date = '20131209'
    tstamp = '20131209-115553'
    centroidTstamp = tstamp
    calTstamp='20131209-132225'
    fluxTstamp='ones'
    flatTstamp='20131209'
    if doPixRemap==True:
        pixRemapFileName = FileName(run=run).pixRemap()
    else:
        pixRemapFileName = None
    
    #Load up the obs file
    obsFileName = FileName(run=run, date=date, tstamp=tstamp)
    obsFile = ObsFile(obsFileName.obs())

    obsFile.loadWvlCalFile(FileName(run=run,date=date,tstamp=calTstamp).calSoln())
    obsFile.loadFlatCalFile(FileName(run=run,date=date,tstamp=flatTstamp).flatSoln())
    obsFile.loadFluxCalFile(FileName(run=run,date=date,tstamp=fluxTstamp).fluxSoln())

    HotPixFile = FileName(run=run,date=date,tstamp=tstamp).timeMask()
    if not os.path.exists(HotPixFile): #check if hot pix file already exists
        hp.findHotPixels(obsFileName.obs(),HotPixFile)
        print "Flux file pixel mask saved to %s"%(HotPixFile)
    obsFile.loadHotPixCalFile(HotPixFile)
    print "Hot pixel mask loaded %s"%(HotPixFile)   

    #hz21 location alpha(2000) = 12h 13m 56.42s , delta(2000) = +32d 56' 30.8''
    centroid_RA = '12:13:56.42'
    centroid_DEC = '32:56:30.8'
    CentFile = FileName(run=run,date=date,tstamp=tstamp).centroidList()
    #print "checking centroid file", CentFile
    #if not os.path.exists(CentFile): #check if cent pix file already exists
    cent.centroidCalc(obsFile, centroid_RA, centroid_DEC, outputFileName = CentFile, guessTime=10, integrationTime=10)
    #    print "Flux file centroid cal saved to %s"%(CentFile)
    obsFile.loadCentroidListFile(CentFile)
    print "Centroid File loaded %s"%(CentFile) 

    #Load up associated calibrations

    #obsFile.loadTimeAdjustmentFile(FileName(run=run,date=date,tstamp=tstamp).timeAdjustments())
    #obsFile.loadHotPixCalFile(FileName(run=run,date=date,tstamp=tstamp).timeMask())
    #obsFile.loadCentroidListFile(FileName(run=run,date=date,tstamp=tstamp).centroidList())
    
    #And write out the results....
    obsFile.writePhotonList(outputFileName,firstSec,integrationTime,
                            pixRemapFileName=pixRemapFileName)
    
    #Read the results back in....
    #photFile = photList.PhotFile(outputFilename)
    
    print "Wrote photon list file: ", outputFileName
Ejemplo n.º 5
0
def main(testRun=False):

    #INPUTS:
    #    - testRun :    If True, run only a single exposure.

    #Try remapping the pixels - set to None to not do this....
    pixRemapFileName = FileName(run='PAL2012').pixRemap()

    obsSequence0="""
    051516
    052018
    052520
    """
    obsSequence1="""
    033323
    033825
    034327
    034830
    035332
    035834
    040336
    040838
    041341
    041843
    042346
    042848
    043351
    043853
    044355
    044857
    045359
    045902
    """

    obsSequence2="""
    050404
    050907
    051409
    051912
    052414
    052917
    053419
    053922
    """
    # 054424 - repointed mid-exposure, leave out for now.    
    

    obsSequence3="""
    054926
    055428
    055930
    060432
    060934
    061436
    061938
    062440
    062942
    """

    run = 'PAL2012'
    obsSequences = [obsSequence0,obsSequence1,obsSequence2,obsSequence3]
    
    #If test run is requested, override and just run one test exposure.
    if testRun is True:
        obsSequences = ['9999999',
                        '''
                        033323
                        ''',
                        '9999999',
                        '9999999']
    
    wvlCals = ['051341','063518','063518','063518']
    flatCals = ['20121211','20121211','20121211','20121211']
    #fluxCalDates = ['20121206','20121206','20121206','20121206']
    #fluxCals = ['20121207-072055','20121207-072055','20121207-072055','20121207-072055']
    fluxCalDates = ['20121211','20121211','20121211','20121211']
    fluxCals = ['absolute_021727','absolute_021727','absolute_021727','absolute_021727']

    #Row coordinate of center of crab pulsar for each obsSequence
    centersRow = [9,30,29,10]
    #Col coordinate of center of crab pulsar for each obsSequence
    centersCol = [13,30,30,14]

    centerRA = '05:34:31.93830'
    centerDec = '+22:00:52.1758'

    obsUtcDate = '20121212'
    obsUtcDates = ['20121206','20121212','20121212','20121212']

    obsFileNames = []
    obsFileNameTimestamps = []
    wvlFileNames = []
    flatFileNames = []
    fluxFileNames = []
    timeMaskFileNames = []
    centroidFileNames = []
    
    for iSeq in range(len(obsSequences)):
        obsSequence = obsSequences[iSeq]
        obsSequence = obsSequence.strip().split()
        obsFileNameTimestamps.append(obsSequence)
        obsUtcDate = obsUtcDates[iSeq]
        sunsetDate = str(int(obsUtcDate)-1)
        obsSequence = [obsUtcDates[iSeq]+'-'+ts for ts in obsSequence]
        obsFileNames.append([FileName(run=run,date=sunsetDate,tstamp=ts).obs() for ts in obsSequence])
        timeMaskFileNames.append([FileName(run=run,date=sunsetDate,tstamp=ts).timeMask() for ts in obsSequence])
        centroidFileNames.append([FileName(run=run,date=sunsetDate,tstamp=ts).centroidList() for ts in obsSequence])

        wvlCalTstamp = obsUtcDate+'-'+wvlCals[iSeq]
        wvlFileNames.append(FileName(run=run,date=sunsetDate,tstamp=wvlCalTstamp).calSoln())
        fluxFileNames.append(FileName(run=run,date=fluxCalDates[iSeq],tstamp=fluxCals[iSeq]).fluxSoln())
        flatFileNames.append(FileName(run=run,date=flatCals[iSeq]).illumSoln()) # *** CURRENTLY USES ILLUMINATION SOLUTION! ***
        centroidFileNames.append(FileName(run=run,date=sunsetDate,tstamp=ts).centroidList())


#     #Make hot pixel masks if needed
#     for iSeq,obsSequence in enumerate(obsSequences):
#         obsSequence = obsSequence.strip().split()
#         print obsSequence
#         for iOb,obs in enumerate(obsSequence):
#             timeMaskFileName = timeMaskFileNames[iSeq][iOb]
#             if os.path.exists(obsFileNames[iSeq][iOb]) and not os.path.exists(timeMaskFileName):
#                 print 'Running hotpix for ',obs
#                 hp.findHotPixels(obsFileNames[iSeq][iOb],timeMaskFileName)
#                 print "Flux file pixel mask saved to %s"%(timeMaskFileName)
#             else:
#                 print 'Skipping hot pixel mask creation for file '+obsFileNames[iSeq][iOb]


    #apertureRadius = 4
    obLists = [[ObsFile(fn)for fn in seq if os.path.exists(fn)] for seq in obsFileNames]
    tstampFormat = '%H:%M:%S'
    #print 'fileName','headerUnix','headerUTC','logUnix','packetReceivedUnixTime'
   
    print '---------Making hot pixel masks/getting centroids-----------' 
    for iSeq,obList in enumerate(obLists):
        for iOb,ob in enumerate(obList):
            timeAdjFileName = FileName(run='PAL2012').timeAdjustments()
            wvlCalFileName = wvlFileNames[iSeq]
            flatCalFileName = flatFileNames[iSeq]
            fluxCalFileName = fluxFileNames[iSeq]
            timeMaskFileName = FileName(obsFile=ob).timeMask() #timeMaskFileNames[iSeq][iOb]
            centroidFileName = FileName(obsFile=ob).centroidList()
            if not os.path.exists(centroidFileName) or not os.path.exists(timeMaskFileName):
                print 'Loading calibration files:'
                print [os.path.basename(x) for x in [timeAdjFileName,wvlCalFileName,flatCalFileName, \
                        fluxCalFileName,timeMaskFileName, centroidFileName]]
                ob.loadTimeAdjustmentFile(timeAdjFileName)
                ob.loadWvlCalFile(wvlCalFileName)
                ob.loadFlatCalFile(flatCalFileName)
                ob.loadFluxCalFile(fluxCalFileName)
                ob.setWvlCutoffs(3000.,12000.) #Keep most of the wavelength range for the purposes of centroiding/hot pixel detection.

                
            if not os.path.exists(timeMaskFileName):
                print 'Running hotpix for ',ob.fileName
                #Run hot pixel detection on *calibrated* file.
                #But don't use flux weighting, as this scales by a large amount, and throws
                #the poisson statistics way too much. (i.e., we really need to use
                #counts *detected* for shot noise statistics, rather than 
                #estimated counts above the atmosphere....)
                hp.findHotPixels(obsFile=ob,outputFileName=timeMaskFileName,
                                 useRawCounts=False,weighted=True,fluxWeighted=False)
                print "Flux file pixel mask saved to %s"%(timeMaskFileName)
            else:
                print 'Skipping hot pixel mask creation for file '+obsFileNames[iSeq][iOb]
            if not os.path.exists(centroidFileName):
                ob.loadHotPixCalFile(timeMaskFileName)
                print 'Running CentroidCalc for ',ob.fileName
                cc.centroidCalc(ob, centerRA, centerDec, outputFileName=centroidFileName,
                                guessTime=300, integrationTime=30, secondMaxCountsForDisplay=500,
                                xyapprox=[centersCol[iSeq],centersRow[iSeq]])
                print "Centroiding calculations saved to %s"%(centroidFileName)
            else:
                print "Centroid file already exists - skipping: "+centroidFileName