Example #1
0
def slotutcfix(images,update,outfile,ampperccd,ignorexp,droplimit,inter,plotdata,logfile,verbose,debug):
    
    with logging(logfile,debug) as log:
        # set up the variables
        utc_list = []


        # 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 and place them in order
        infiles=saltsafeio.listparse('Raw image',images,'','','')
        infiles.sort()

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

        # check to see if the output file exists and if so, clobber it
        if os.path.isfile(outfile):
            try:
                os.remove(outfile)
            except:
                raise SaltIOError('File ' + outfile + ' can not be removed')

        # open the outfile
        if outfile:
            try:
                fout=open(outfile,'w')
            except:
                raise SaltIOError('File ' + outfile + ' can not be opened')

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

        # check to make sure slotmode data
        detmode=saltsafekey.get('DETMODE',struct[0], infile)
        if detmode != 'Slot Mode':
            raise SaltIOError('Data are not Slot Mode Observations')

        # Check to see if SLOTUTCFIX has already been run
        # and print a warning if they have
        if saltsafekey.found('SLOTUTC', struct[0]):
            message='Data have already been processed by SLOTUTCFIX'
            log.warning(message)

        # check to make sure that it is the right version of the software
        scamver=saltsafekey.get('DETSWV', struct[0], infile)
        try:
            scamver=float(scamver.split('-')[-1])
            if 4.42 <= scamver <= 5.00:
                pass
            else:
                raise SaltError('cannot currently correct this version of the SCAM software.')

        except:
            raise SaltError('Not able to read software version')

        # requested exposure time
        req_texp=saltsafekey.get('EXPTIME',struct[0],infile)

        # how many extensions?
        nextend=saltsafekey.get('NEXTEND',struct[0],infile)

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

        # how many total frame and unique times
        ntotal=nextend*len(infiles)
        nunique=len(infiles)*nframes-ignorexp+1

        # Create arrays necessary for analysis
        id_arr=np.arange(nunique)
        utc_arr=np.zeros(nunique,dtype=float)

        # Read in each file and make a list of the UTC values
        if verbose:
            log.message('Reading in files to create list of UTC values.')

        j=0
        for n,infile in enumerate(infiles):
            # Show progress
            if verbose:
                percent=100.*float(n)/float(len(infiles))
                ctext='Percentage Complete: %.2f\r' % percent
                sys.stdout.write(ctext)
                sys.stdout.flush()

            struct=saltsafeio.openfits(infile)
            if not len(struct)-1==nextend:
                raise SaltIOError(infile,' has a different number of extensions from the first file')

            # Skip through the frames and read in the utc
            istart=1
            if infile==infiles[0]:
                istart=ignorexp*amplifiers+1
            for i in range(istart,len(struct), amplifiers):
                try:
                    utc_list.append(saltsafekey.get('UTC-OBS', struct[i], infile))
                    utc_arr[j]=slottool.getobstime(struct[i], infile)
                    j += 1
                except Exception, e:
                    raise SaltIOError('Unable to create array of UTC times.  Please check the number of extensions in the files')

            # close FITS file
            saltsafeio.closefits(struct)

        # set up the other important arrays
        try:
            diff_arr=utc_arr.copy()
            diff_arr[1:]=diff_arr[1:]-utc_arr[:-1]
            diff_arr[0]=-1
            dsec_arr=utc_arr-utc_arr.astype(int)
        except:
            raise SaltIOError('Unable to create timing arrays')

        # calculate the real exposure time
        if verbose:
            log.message('Calculating real exposure time.')

        real_expt, med_expt, t_start, t_arr, ysum_arr=calculate_realexptime(id_arr, utc_arr, dsec_arr, diff_arr, req_texp, utc_list)

        # plot the results
        if plotdata:
            if verbose:
                log.message('Plotting data.')
            plt.ion()
            plt.plot(t_arr,ysum_arr,linewidth=0.5,linestyle='-',marker='',color='b')
            plt.xlabel('Time (s)')
            plt.ylabel('Fit')

        # Calculate the corrrect values
        if verbose:
            log.message('Calculating correct values')

        i_start = abs(utc_arr-t_start).argmin()
        t_diff=utc_arr*0.0+real_expt
        nd=utc_arr*0.0
        ndrop=0
        for i in range(len(utc_arr)):
            if utc_arr[i] >= t_start:
                t_new=t_start+real_expt*(i-i_start+ndrop)
                t_diff[i]=utc_arr[i]-t_new
                while (t_diff[i]>real_expt and nd[i] < droplimit):
                    nd[i]+= 1
                    t_new=t_start+real_expt*(i-i_start+ndrop+nd[i])
                    t_diff[i]=utc_arr[i]-t_new
                if (nd[i]<droplimit):
                    ndrop += nd[i]
            else:
                t_new=t_start+real_expt*(i-i_start)
                t_diff[i]=utc_arr[i]-t_new
                while (t_diff[i]>real_expt and nd[i] < droplimit):
                    nd[i]+= 1
                    t_new=t_start+real_expt*(i-i_start-nd[i])
                    t_diff[i]=utc_arr[i]-t_new

        # calculate the corrected timestamp by counting 6 record files forward and
        # 8 recored + unrecorded files back--or just 8*t_exp forward.
        # if the object is near the end of the run, then just replace it with
        # the correct value assuming no dropped exposures.

        # first make the array of new times
        new_arr=utc_arr-t_diff

        # Next loop through them to find the corrected time
        corr_arr=utc_arr*0.0

        for i in range(len(new_arr)):
            if i+6 < len(new_arr)-1:
                corr_arr[i]=new_arr[i+6]-8*real_expt
            else:
                corr_arr[i]=new_arr[i]-2*real_expt

        t_diff=utc_arr-corr_arr

        # write out the first results
        msg="Dwell Time=%5.3f Requested Exposure Time=%5.3f Nobs = %i Dropped = %i" % (real_expt, req_texp,  nunique, ndrop)
        if verbose:
            log.message(msg)

        if outfile:
            fout.write('#'+msg+'\n')
            fout.write('#%23s %2s %12s %12s %10s %8s %4s \n' % ('File', 'N', 'UTC_old', 'UTC_new', 'UTC_new(s)', 'Diff', 'drop' ))

        # Give the user a chance to update the value
        if inter:
            message='Update headers with a dwell time of %5.3f s [y/n]? ' % real_expt
            update=saltsafeio.yn_ask(message)
            if not update:
                message='Set Dwell Time manually [y/n]? '
                update=saltsafeio.yn_ask(message)
                if update:
                    message='New Dwell Time: '
                    real_expt=saltsafeio.ask(message)
                    try:
                        real_expt=float(real_expt)
                    except Exception, e:
                        msg='Could not set user dwell time because %s' % e
                        raise SaltError(msg)
Example #2
0
                    sys.stdout.flush()

                struct=saltsafeio.openupdatefits(infile)

                # Skip through the frames and read in the utc
                istart=1
                if infile==infiles[0]:
                    istart=ignorexp*amplifiers+1
                for i in range(istart,len(struct), amplifiers):
                    for k in range(0,amplifiers):
                        if update:
                            struct[i+k]=updateheaders(struct[i+k],i+k, t_diff[j], real_expt, utc_list[j], infile)

                    if outfile:
                        utc_new=saltsafekey.get('UTC-OBS', struct[i+k], infile)
                        utc_new_sec=slottool.getobstime(struct[i], infile)
                        fout.write('%25s %2i %12s %12s %7.3f  %5.4f %4i \n' % (infile, i, utc_list[j], utc_new, utc_new_sec, t_diff[j], nd[j] ))
                    j += 1

                # Housekeeping key words
                if update:
                    history = 'SALTUTCFIX -- '
                    history += 'images='+infile+' '
                    saltsafekey.housekeeping(struct[0],'SLOTUTC','UTC has been corrected',history,infile)

                # update fits file
                if update:
                    saltsafeio.updatefits(struct)
                    saltsafeio.closefits(struct)

        # close outfile
Example #3
0
                # Skip through the frames and read in the utc
                istart = 1
                if infile == infiles[0]:
                    istart = ignorexp * amplifiers + 1
                for i in range(istart, len(struct), amplifiers):
                    for k in range(0, amplifiers):
                        if update:
                            struct[i + k] = updateheaders(
                                struct[i + k], i + k, t_diff[j], real_expt,
                                utc_list[j], infile)

                    if outfile:
                        utc_new = saltsafekey.get('UTC-OBS', struct[i + k],
                                                  infile)
                        utc_new_sec = slottool.getobstime(struct[i], infile)
                        fout.write('%25s %2i %12s %12s %7.3f  %5.4f %4i \n' %
                                   (infile, i, utc_list[j], utc_new,
                                    utc_new_sec, t_diff[j], nd[j]))
                    j += 1

                # Housekeeping key words
                if update:
                    history = 'SALTUTCFIX -- '
                    history += 'images=' + infile + ' '
                    saltsafekey.housekeeping(struct[0], 'SLOTUTC',
                                             'UTC has been corrected', history,
                                             infile)

                # update fits file
                if update:
Example #4
0
def slotutcfix(images, update, outfile, ampperccd, ignorexp, droplimit, inter,
               plotdata, logfile, verbose, debug):

    with logging(logfile, debug) as log:
        # set up the variables
        utc_list = []

        # 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 and place them in order
        infiles = saltsafeio.listparse('Raw image', images, '', '', '')
        infiles.sort()

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

        # check to see if the output file exists and if so, clobber it
        if os.path.isfile(outfile):
            try:
                os.remove(outfile)
            except:
                raise SaltIOError('File ' + outfile + ' can not be removed')

        # open the outfile
        if outfile:
            try:
                fout = open(outfile, 'w')
            except:
                raise SaltIOError('File ' + outfile + ' can not be opened')

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

        # check to make sure slotmode data
        detmode = saltsafekey.get('DETMODE', struct[0], infile)
        if detmode != 'Slot Mode':
            raise SaltIOError('Data are not Slot Mode Observations')

        # Check to see if SLOTUTCFIX has already been run
        # and print a warning if they have
        if saltsafekey.found('SLOTUTC', struct[0]):
            message = 'Data have already been processed by SLOTUTCFIX'
            log.warning(message)

        # check to make sure that it is the right version of the software
        scamver = saltsafekey.get('DETSWV', struct[0], infile)
        try:
            scamver = float(scamver.split('-')[-1])
            if 4.42 <= scamver <= 5.00:
                pass
            else:
                raise SaltError(
                    'cannot currently correct this version of the SCAM software.'
                )

        except:
            raise SaltError('Not able to read software version')

        # requested exposure time
        req_texp = saltsafekey.get('EXPTIME', struct[0], infile)

        # how many extensions?
        nextend = saltsafekey.get('NEXTEND', struct[0], infile)

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

        # how many total frame and unique times
        ntotal = nextend * len(infiles)
        nunique = len(infiles) * nframes - ignorexp + 1

        # Create arrays necessary for analysis
        id_arr = np.arange(nunique)
        utc_arr = np.zeros(nunique, dtype=float)

        # Read in each file and make a list of the UTC values
        if verbose:
            log.message('Reading in files to create list of UTC values.')

        j = 0
        for n, infile in enumerate(infiles):
            # Show progress
            if verbose:
                percent = 100. * float(n) / float(len(infiles))
                ctext = 'Percentage Complete: %.2f\r' % percent
                sys.stdout.write(ctext)
                sys.stdout.flush()

            struct = saltsafeio.openfits(infile)
            if not len(struct) - 1 == nextend:
                raise SaltIOError(
                    infile,
                    ' has a different number of extensions from the first file'
                )

            # Skip through the frames and read in the utc
            istart = 1
            if infile == infiles[0]:
                istart = ignorexp * amplifiers + 1
            for i in range(istart, len(struct), amplifiers):
                try:
                    utc_list.append(
                        saltsafekey.get('UTC-OBS', struct[i], infile))
                    utc_arr[j] = slottool.getobstime(struct[i], infile)
                    j += 1
                except Exception, e:
                    raise SaltIOError(
                        'Unable to create array of UTC times.  Please check the number of extensions in the files'
                    )

            # close FITS file
            saltsafeio.closefits(struct)

        # set up the other important arrays
        try:
            diff_arr = utc_arr.copy()
            diff_arr[1:] = diff_arr[1:] - utc_arr[:-1]
            diff_arr[0] = -1
            dsec_arr = utc_arr - utc_arr.astype(int)
        except:
            raise SaltIOError('Unable to create timing arrays')

        # calculate the real exposure time
        if verbose:
            log.message('Calculating real exposure time.')

        real_expt, med_expt, t_start, t_arr, ysum_arr = calculate_realexptime(
            id_arr, utc_arr, dsec_arr, diff_arr, req_texp, utc_list)

        # plot the results
        if plotdata:
            if verbose:
                log.message('Plotting data.')
            plt.ion()
            plt.plot(t_arr,
                     ysum_arr,
                     linewidth=0.5,
                     linestyle='-',
                     marker='',
                     color='b')
            plt.xlabel('Time (s)')
            plt.ylabel('Fit')

        # Calculate the corrrect values
        if verbose:
            log.message('Calculating correct values')

        i_start = abs(utc_arr - t_start).argmin()
        t_diff = utc_arr * 0.0 + real_expt
        nd = utc_arr * 0.0
        ndrop = 0
        for i in range(len(utc_arr)):
            if utc_arr[i] >= t_start:
                t_new = t_start + real_expt * (i - i_start + ndrop)
                t_diff[i] = utc_arr[i] - t_new
                while (t_diff[i] > real_expt and nd[i] < droplimit):
                    nd[i] += 1
                    t_new = t_start + real_expt * (i - i_start + ndrop + nd[i])
                    t_diff[i] = utc_arr[i] - t_new
                if (nd[i] < droplimit):
                    ndrop += nd[i]
            else:
                t_new = t_start + real_expt * (i - i_start)
                t_diff[i] = utc_arr[i] - t_new
                while (t_diff[i] > real_expt and nd[i] < droplimit):
                    nd[i] += 1
                    t_new = t_start + real_expt * (i - i_start - nd[i])
                    t_diff[i] = utc_arr[i] - t_new

        # calculate the corrected timestamp by counting 6 record files forward and
        # 8 recored + unrecorded files back--or just 8*t_exp forward.
        # if the object is near the end of the run, then just replace it with
        # the correct value assuming no dropped exposures.

        # first make the array of new times
        new_arr = utc_arr - t_diff

        # Next loop through them to find the corrected time
        corr_arr = utc_arr * 0.0

        for i in range(len(new_arr)):
            if i + 6 < len(new_arr) - 1:
                corr_arr[i] = new_arr[i + 6] - 8 * real_expt
            else:
                corr_arr[i] = new_arr[i] - 2 * real_expt

        t_diff = utc_arr - corr_arr

        # write out the first results
        msg = "Dwell Time=%5.3f Requested Exposure Time=%5.3f Nobs = %i Dropped = %i" % (
            real_expt, req_texp, nunique, ndrop)
        if verbose:
            log.message(msg)

        if outfile:
            fout.write('#' + msg + '\n')
            fout.write('#%23s %2s %12s %12s %10s %8s %4s \n' %
                       ('File', 'N', 'UTC_old', 'UTC_new', 'UTC_new(s)',
                        'Diff', 'drop'))

        # Give the user a chance to update the value
        if inter:
            message = 'Update headers with a dwell time of %5.3f s [y/n]? ' % real_expt
            update = saltsafeio.yn_ask(message)
            if not update:
                message = 'Set Dwell Time manually [y/n]? '
                update = saltsafeio.yn_ask(message)
                if update:
                    message = 'New Dwell Time: '
                    real_expt = saltsafeio.ask(message)
                    try:
                        real_expt = float(real_expt)
                    except Exception, e:
                        msg = 'Could not set user dwell time because %s' % e
                        raise SaltError(msg)
Example #5
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.')