Пример #1
0
def slotview(newfits,indata , fileout, srcfile, fps=10.0, phottype='square', sigdet=5, contpix=10, \
    driftlimit=10, clobber=True,logfile='slotview.log',verbose=True):

    #set up the variables
    status = 0
    entries = []
    vig_lo = {}
    vig_hi = {}
    hour = 0
    min = 0
    sec = 0.
    time0 = 0.
    nframes = 0
    sleep = 0

    with logging(logfile, debug) as log:

        #enter in the input data
        saltio.fileexists(newfits)

        #set the sleep parameter
        if fps > 0: sleep = 1.0 / (fps)

        # read in the data file
        id, time, ratio, rerr, tx, ty, tflux, terr, cx, cy, cflux, cerr = st.readlcfile(
            indata)

        # read extraction region defintion file
        amp, x, y, x_o, y_o, r, br1, br2 = st.readsrcfile(srcfile)

        #determine the size of the data arrays
        struct = saltio.openfits(newfits)
        naxis1 = saltkey.get('NAXIS1', struct[1])
        naxis2 = saltkey.get('NAXIS2', struct[1])

        # Plot all of the data and the first image
        # Create GUI
        App = QtGui.QApplication([])
        aw=SlotViewWindow(struct, id, tflux, cflux, ratio, time, phottype, sleep,   \
                     tx, ty, cx, cy, r, br1, br2, naxis1, naxis2, sigdet, contpix, driftlimit)
        aw.show()

        # Start application event loop
        app_exit = App.exec_()

        # Check if GUI was executed succesfully
        if app_exit != 0:
            raise SALTError('InterIdentify GUI has unexpected exit status ' +
                            str(exit))

        ratio, tflux, cflux, gframe, newphot = aw.ratio, aw.tflux, aw.cflux, aw.goodframes, aw.newphot

        #close the input file
        saltio.closefits(struct)

        # Update the indata file if necessary
        lc = saltio.openascii(fileout, 'w')

        for i in range(len(ratio)):
            x['target'] = tx[i]
            x['comparison'] = cx[i]
            y['target'] = ty[i]
            y['comparison'] = cy[i]
            reltime = False
            if gframe[i]:
                st.writedataout(lc, id[i], time[i], x, y, tflux[i], terr[i], \
                    cflux[i], cerr[i], ratio[i], rerr[i], time[0], reltime)

        saltio.closeascii(lc)
Пример #2
0
def slotview(newfits,indata , fileout, srcfile, fps=10.0, phottype='square', sigdet=5, contpix=10, \
    driftlimit=10, clobber=True,logfile='slotview.log',verbose=True):

    
#set up the variables
    status = 0
    entries = []
    vig_lo = {}
    vig_hi = {}
    hour = 0
    min = 0
    sec = 0.
    time0 = 0.
    nframes = 0
    sleep=0

    with logging(logfile,debug) as log:

        #enter in the input data
        saltio.fileexists(newfits)

        #set the sleep parameter
        if fps>0: sleep=1.0/(fps)

        # read in the data file
        id, time, ratio, rerr, tx, ty, tflux, terr, cx, cy, cflux, cerr=st.readlcfile(indata)

        # read extraction region defintion file
        amp, x, y, x_o, y_o, r, br1, br2=st.readsrcfile(srcfile)



        #determine the size of the data arrays
        struct = saltio.openfits(newfits)
        naxis1 = saltkey.get('NAXIS1',struct[1])
        naxis2 = saltkey.get('NAXIS2',struct[1])

        # Plot all of the data and the first image
        # Create GUI
        App = QtGui.QApplication([])
        aw=SlotViewWindow(struct, id, tflux, cflux, ratio, time, phottype, sleep,   \
                     tx, ty, cx, cy, r, br1, br2, naxis1, naxis2, sigdet, contpix, driftlimit)
        aw.show()

        # Start application event loop
        app_exit=App.exec_()
        
        # Check if GUI was executed succesfully
        if app_exit!=0:
             raise SALTError('InterIdentify GUI has unexpected exit status '+str(exit))

        ratio, tflux, cflux, gframe, newphot=aw.ratio, aw.tflux, aw.cflux, aw.goodframes, aw.newphot

        #close the input file
        saltio.closefits(struct)

        # Update the indata file if necessary
        lc=saltio.openascii(fileout,'w')

        for i in range(len(ratio)):
            x['target']=tx[i]
            x['comparison']=cx[i]
            y['target']=ty[i]
            y['comparison']=cy[i]
            reltime=False
            if gframe[i]:
                st.writedataout(lc, id[i], time[i], x, y, tflux[i], terr[i], \
                    cflux[i], cerr[i], ratio[i], rerr[i], time[0], reltime)

        saltio.closeascii(lc)
Пример #3
0
def slotphot(images,outfile,srcfile,newfits=None,phottype='square', 
             subbacktype='median',sigback=3,mbin=7,sorder=3,niter=5,sigdet=5,
             contpix=10,ampperccd=2,ignorexp=6,driftlimit=10.,finddrift=True,
             outtype='ascii',reltime=True,clobber=True,logfile='salt.log',
             verbose=True):
    """Perform photometry on listed SALT slotmode *images*."""

    with logging(logfile,debug) as log:
        # set up the variables
        entries = []
        vig_lo = {}
        vig_hi = {}
        amp = {}
        x = {}
        y = {}
        x_o = {}
        y_o = {}
        r = {}
        br1 = {}
        br2 = {}
        hour = 0
        min = 0
        sec = 0.
        time0 = 0.
        nframes = 0
        bin=mbin
        order=sorder

        # is the input file specified?
        saltsafeio.filedefined('Input',images)

        # if the input file is a list, does it exist?
        if images[0] == '@':
            saltsafeio.listexists('Input',images)

        # parse list of input files
        infiles=saltsafeio.listparse('Raw image',images,'','','')

        # check input files exist
        saltsafeio.filesexist(infiles,'','r')

        # is the output file specified?
        saltsafeio.filedefined('Output',outfile)

        # check output file does not exist, optionally remove it if it does exist
        if os.path.exists(outfile) and clobber:
            os.remove(outfile)
        elif os.path.exists(outfile) and not clobber:
            raise SaltIOError('File '+outfile+' already exists, use clobber=y')

        # open output ascii file
        if outtype=='ascii':
            try:
                lc = open(outfile,'a')
            except:
                raise SaltIOError('Cannot open ouput file '+outfile)

        # is the extraction region defintion file specified?
        saltsafeio.filedefined('Extraction region defintion',srcfile)

        # check extraction region defintion file exists
        srcfile = srcfile.strip()
        saltsafeio.fileexists(srcfile)

        # read extraction region defintion file
        amp, x, y, x_o, y_o, r, br1, br2=slottool.readsrcfile(srcfile)

        # set the writenewfits parameter
        if not newfits or newfits=='none':
            writenewfits=False
        else:
            writenewfits=newfits

        # get time of first exposure and basic information about the observations
        infile=infiles[0]
        struct=saltsafeio.openfits(infile)

        # identify instrument
        instrume,keyprep,keygain,keybias,keyxtalk,keyslot=saltsafekey.instrumid(struct,infile)

        # how many extensions?
        nextend=saltsafekey.get('NEXTEND',struct[0],infile)
        if nextend < amp['comparison']:
            msg='Insufficient number of extensions in %s' % (infile)
            raise SaltIOError(msg)

        # how many amplifiers?
        amplifiers=saltsafekey.get('NCCDS',struct[0],infile)
        amplifiers = int(ampperccd*float(amplifiers))
        if ampperccd>0:
            nframes = int(nextend/amplifiers)
            nstep=amplifiers
        else:
            nframes = nextend
            nstep=1
        ntotal=nframes*len(infiles)

        # image size
        naxis1=saltsafekey.get('NAXIS1',struct[amp['comparison']],infile)
        naxis2=saltsafekey.get('NAXIS2',struct[amp['comparison']],infile)

        # CCD binning
        ccdsum=saltsafekey.get('CCDSUM',struct[0],infile)
        binx=int(ccdsum.split(' ')[0])
        biny=int(ccdsum.split(' ')[1])

        # Identify the time of the observations
        ext = 1
        try:
            time0=slottool.getobstime(struct[ext], infile+'['+str(ext)+']')
            dateobs=saltsafekey.get('DATE-OBS',struct[ext],infile)
            dateobs=dateobs.replace('-','/')
        except:
            raise SaltIOError('No time or obsdate in first image')

        # If a total file is to be written out, create it and update it
        if writenewfits:
            if os.path.isfile(writenewfits):
                if clobber:
                    saltsafeio.delete(writenewfits)
                else:
                    raise SaltIOError('Newfits file exists, use clobber')

            try:
                hdu=pyfits.PrimaryHDU()
                hdu.header=struct[0].header
                hdu.header['NCCDS']=1
                hdu.header['NSCIEXT']=ntotal-ignorexp
                hdu.header['NEXTEND']=ntotal-ignorexp
                hduList=pyfits.HDUList(hdu)
                hduList.verify()
                hduList.writeto(writenewfits)
            except:
                raise SaltIOError('Could not create newfits file, '+writenewfits)

        # Close image file
        saltsafeio.closefits(struct)

        # Read newfits file back in for updating
        if writenewfits:
            try:
                hduList=pyfits.open(writenewfits,mode='update')
            except:
                raise SaltIOError('Cannot open newfits file '+writenewfits+' for updating.')

        # set up the arrays
        j=0
        time=np.zeros(ntotal ,dtype='float')-1.0
        dx=np.zeros(ntotal ,dtype='float')
        dy=np.zeros(ntotal ,dtype='float')
        tflux=np.zeros(ntotal ,dtype='float')
        terr =np.zeros(ntotal ,dtype='float')
        cflux=np.zeros(ntotal ,dtype='float')
        cerr =np.zeros(ntotal ,dtype='float')
        ratio=np.zeros(ntotal ,dtype='float')
        rerr =np.zeros(ntotal ,dtype='float')
        tgt_x=np.zeros(ntotal ,dtype='float')
        tgt_y=np.zeros(ntotal ,dtype='float')
        cmp_x=np.zeros(ntotal ,dtype='float')
        cmp_y=np.zeros(ntotal ,dtype='float')

        p_one=100./ntotal            # One percent
        p_old=-1                     # Previous completed percentage
        p_new=0                      # New completed percentage
        p_n=1                        # Counter number
        for infile in infiles:
            # Log
            if verbose:
                log.message('Starting photometry on file '+infile, with_stdout=False)

            struct=pyfits.open(infile)

            # Skip through the frames and process each frame individually
            for i in range(nframes):
                # Show progress
                if verbose:
                    p_new=int(p_n*p_one)
                    p_n+=1
                    if p_new!=p_old:
                        ctext='Percentage Complete: %d\r' % p_new
                        sys.stdout.write(ctext)
                        sys.stdout.flush()
                        p_old=p_new

                if not (infile==infiles[0] and i < ignorexp):

                    ext=amp['comparison']+i*nstep
                    try:
                        header=struct[ext].header
                        array=struct[ext].data
                        array=array*1.0
                    except:
                        msg='Unable to open extension %i in image %s' % (ext, infile)
                        raise SaltIOError(msg)

                    # starti the analysis of each frame
                    # get the time
                    time[j]=slottool.getobstime(struct[ext],infile+'['+str(ext)+']')

                    # gain and readout noise
                    try:
                        gain=float(header['GAIN'])
                    except:
                        gain=1
                        raise SaltIOError('Gain not specified in image header')
                    try:
                        rdnoise=float(header['RDNOISE'])
                    except:
                        rdnoise=0
                        raise SaltIOError('RDNOISE not specified in image header')

                    # background subtraction
                    if not subbacktype=='none':
                        try:
                            array=subbackground(array, sigback, bin, order, niter, subbacktype)
                        except SaltError:
                            log.warning('Image '+infile+' extention '+str(ext)+' is blank, skipping')
                            continue

                    # x-y fit to the comparison star and update the x,y values
                    if finddrift:
                        carray, fx,fy=slottool.finddrift(array, x['comparison'], y['comparison'], r['comparison'], naxis1, naxis2, sigdet, contpix, sigback, driftlimit, niter)
                        if fx > -1  and fy > -1:
                            if fx < naxis1 and fy < naxis2:
                                dx[j]=x['comparison']-fx
                                dy[j]=y['comparison']-fy
                                x['comparison']=fx
                                y['comparison']=fy
                                x['target']=x['target']-dx[j]
                                y['target']=y['target']-dy[j]
                            else:
                                dx[j]=0
                                dy[j]=0
                                x['comparison']=x_o['comparison']
                                y['comparison']=y_o['comparison']
                                x['target']=x_o['target']
                                y['target']=y_o['target']
                        else:
                            msg='No comparison object found in image file ' + infile+' on extension %i skipping.' % ext
                            log.warning(msg)
                            pass

                    # do photometry
                    try:
                        tflux[j],terr[j],cflux[j],cerr[j],ratio[j],rerr[j]=slottool.dophot(phottype, array, x, y, r, br1, br2, gain, rdnoise, naxis1, naxis2)
                    except SaltError, e:
                        msg='Could not do photometry on extension %i in image %s because %s skipping.' % (ext, infile, e)
                        log.warning(msg)

                    tgt_x[j]=x['target']
                    tgt_y[j]=y['target']
                    cmp_x[j]=x['comparison']
                    cmp_y[j]=y['comparison']

                    # record results
                    # TODO! This should be removed in favor of the write all to disk in the end
                    if outtype=='ascii':
                        slottool.writedataout(lc, j+1, time[j], x, y, tflux[j], terr[j], cflux[j],cerr[j],ratio[j],rerr[j],time0, reltime)

                    # write newfits file
                    if writenewfits:
                        # add original name and extension number to header
                        try:
                            hdue=pyfits.ImageHDU(array)
                            hdue.header=header
                            hdue.header.update('ONAME',infile,'Original image name')
                            hdue.header.update('OEXT',ext,'Original extension number')
                            hduList.append(hdue)
                        except:
                            log.warning('Could not update image in newfits '+infile+' '+str(ext))

                    # increment counter
                    j+=1

            # close FITS file
            saltsafeio.closefits(struct)

        # close newfits file
        if writenewfits:
            try:
                hduList.flush()
                hduList.close()
            except:
                raise SaltIOError('Cannot close newfits file.')

        # write to output
        if outtype=='ascii':
            # close output ascii file
            try:
                lc.close()
            except:
                raise SaltIOError('Cannot close ouput file ' + outfile)
        elif outtype=='fits':
            print 'writing fits'
            try:
                c1=pyfits.Column(name='index',format='D',array=np.arange(ntotal))
                if reltime:
                    c2=pyfits.Column(name='time',format='D',array=time-time0)
                else:
                    c2=pyfits.Column(name='time',format='D',array=time)

                c3=pyfits.Column(name='tgt_x',format='D',array=tgt_x)
                c4=pyfits.Column(name='tgt_y',format='D',array=tgt_y)
                c5=pyfits.Column(name='tgt_flux',format='D',array=tflux)
                c6=pyfits.Column(name='tgt_err',format='D',array=terr)
                c7=pyfits.Column(name='cmp_x',format='D',array=cmp_x)
                c8=pyfits.Column(name='cmp_y',format='D',array=cmp_y)
                c9=pyfits.Column(name='cmp_flux',format='D',array=cflux)
                c10=pyfits.Column(name='cmp_err',format='D',array=cerr)
                c11=pyfits.Column(name='flux_ratio',format='D',array=ratio)
                c12=pyfits.Column(name='flux_ratio_err',format='D',array=rerr)
                tbhdu=pyfits.new_table([c1,c2,c3,c4,c5,c6,c7,c8,c9,c10,c11,c12])
                # Add header information
                tbhdu.header.update('RELTIME',str(reltime),'Time relative to first datapoint or absolute.')

                tbhdu.writeto(outfile)
                print 'fits written to ',outfile
            except:
                raise SaltIOError('Could not write to fits table.')