Python AIPSTask.reweight[1]方法代码示例

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import reweight[1] [as 别名]
def run_dbcon(entryA, entryB):
    """Combine the data in AIPS with the DBCON task"""
    dbcon = AIPSTask('dbcon')

    # always do firs
    dbcon.indisk = dbcon.outdisk = dbcon.in2disk = DISK_ID
    dbcon.userno = AIPS.userno
    
    file1 = cat.get_entry(entryA)
    dbcon.inname = file1.name
    dbcon.inclass = file1.klass
    dbcon.inseq = file1.seq
    
    file2 = cat.get_entry(entryB)
    dbcon.in2name = file2.name
    dbcon.in2class = file2.klass
    dbcon.in2seq = file2.seq
    
    dbcon.reweight[1] = 0
    dbcon.reweight[2] = 0
    
    print 'combining 1: ', dbcon.inname, dbcon.inclass, dbcon.inseq
    print 'combining 2: ', dbcon.in2name, dbcon.in2class, dbcon.in2seq
    
    dbcon.go()

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import reweight[1] [as 别名]
    print uvlod.datain
    uvlod.outdisk=mydisk
    uvlod.go()

if len(myfiles) > 1:            # if more than 1 file DBCON them

    # always do first 2
    dbcon.indisk=mydisk
    dbcon.outdisk=mydisk
    dbcon.inname = AIPSCat()[mydisk][0].name
    dbcon.inclass = AIPSCat()[mydisk][0].klass
    dbcon.inseq = AIPSCat()[mydisk][0].seq
    dbcon.in2name = AIPSCat()[mydisk][1].name
    dbcon.in2class = AIPSCat()[mydisk][1].klass
    dbcon.in2seq = AIPSCat()[mydisk][1].seq
    dbcon.reweight[1] = 0
    dbcon.reweight[2] = 0
    dbcon.go()

    # and keep adding in one
    for i in range(2,len(myfiles)):
        # end of cat is always most recent dbcon result
        dbcon.inname = AIPSCat()[mydisk][-1].name
        dbcon.inclass = AIPSCat()[mydisk][-1].klass
        dbcon.inseq = AIPSCat()[mydisk][-1].seq
        dbcon.in2name = AIPSCat()[mydisk][i].name
        dbcon.in2class = AIPSCat()[mydisk][i].klass
        dbcon.in2seq = AIPSCat()[mydisk][i].seq
        dbcon.go()

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import reweight[1] [as 别名]
def make_cube(args):

    print_header("Making image cube")

    average_channels(args.average)

    sdgrd = AIPSTask("sdgrd")

    # Now make an image using the last entry in the catalog
    sdgrd.indisk = DISK_ID
    sdgrd.outdisk = DISK_ID
    sdgrd.baddisk[1] = BADDISK
    last = cat.last_entry()
    sdgrd.inname = last.name
    sdgrd.inclass = last.klass
    sdgrd.inseq = last.seq
    sdgrd.optype = "-GLS"
    sdgrd.reweight[1] = 0

    spectra = cat.get_uv(last)
    if "center" in args and args.center:
        raDeg, decDeg = args.center
    else:
        raDeg, decDeg = spectra.header.crval[3], spectra.header.crval[4]

    # must break up RA into hours minutes seconds
    hh, mm, ss = ra_deg2hms(raDeg)
    sdgrd.aparm[1] = hh
    sdgrd.aparm[2] = mm
    sdgrd.aparm[3] = ss

    # now break up degrees, but must preserve sign
    decSign = 1
    if decDeg < 0:
        decSign = -1
        decDeg = -1 * decDeg

    hh, mm, ss = dec_deg2hms(decDeg)
    sdgrd.aparm[4] = hh
    sdgrd.aparm[5] = mm
    sdgrd.aparm[6] = ss

    # deal with degrees and/or minutes == 0
    if decSign < 0.0:
        sdgrd.aparm[4] = -1 * sdgrd.aparm[4]
        if sdgrd.aparm[4] == 0:
            sdgrd.aparm[5] = -1 * sdgrd.aparm[5]
            if sdgrd.aparm[5] == 0:
                sdgrd.aparm[6] = -1 * sdgrd.aparm[6]

    print raDeg, decDeg, "->", sdgrd.aparm[1:7]

    # transfer cellsize
    cellsize = round(spectra.header.cdelt[4] * 3600.0)
    sdgrd.cellsize[1] = sdgrd.cellsize[2] = cellsize

    # sdgrd.xtype=-16         # sync/bessel convolving type
    sdgrd.xtype = -12  # gaussian convolving type

    # sync/bessel function parameters
    if sdgrd.xtype == -16:
        sdgrd.xparm[1] = 3.0 * cellsize
        sdgrd.xparm[2] = 2.5 * cellsize
        sdgrd.xparm[3] = 1.5 * cellsize
        sdgrd.xparm[4] = 2
        sdgrd.reweight[2] = 0.01

    # gaussian parameters
    if sdgrd.xtype == -12:
        sdgrd.xparm[1] = 5.0 * cellsize
        sdgrd.xparm[2] = 1.5 * cellsize  # Parameter sets Gaussian FWHM
        sdgrd.xparm[3] = 2
        sdgrd.xparm[4] = 0
        sdgrd.reweight[2] = -1.0e-6

    # always make a circuluar convolving function
    sdgrd.ytype = sdgrd.xtype

    if "size" in args and args.size:
        imxSize, imySize = args.size
    else:
        imxSize = (2 * round(spectra.header.crpix[3] / 1.95)) + 20
        imySize = (2 * round(spectra.header.crpix[4] / 1.95)) + 20

    print "Ra, Dec          : {0}, {1}".format(raDeg, decDeg)
    print "Image size (X,Y) : {0}, {1}".format(imxSize, imySize)
    print "Cell size        : {0}".format(cellsize)

    sdgrd.imsize[1] = imxSize
    sdgrd.imsize[2] = imySize
    sdgrd.go()

    seqno, restFreqHz = update_header(args)
    outcube = write_image_cube(restFreqHz, args.uniqueid)

    return seqno, restFreqHz, outcube

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import reweight[1] [as 别名]
avspc.go()

#now have fewer channels, with broader frequencies
nChan = round(nChan/nAverage)
dNu = nAverage*dNu
refChan = refChan/nAverage

# Now make an image using the last entry in the catalog
sdgrd.indisk=mydisk
sdgrd.outdisk=mydisk
sdgrd.baddisk[1]=baddisk
sdgrd.inname=AIPSCat()[mydisk][-1].name
sdgrd.inclass=AIPSCat()[mydisk][-1].klass
sdgrd.inseq=AIPSCat()[mydisk][-1].seq
sdgrd.optype='-GLS'
sdgrd.reweight[1] = 0
sdgrd.reweight[2] = -1.E-6
# must break up RA into hours minutes seconds
sdgrd.aparm[1]=math.floor(raDeg/15.)
sdgrd.aparm[2]=math.floor(((raDeg/15.)-sdgrd.aparm[1])*60.)
sdgrd.aparm[3]=round(((((raDeg/15.)-sdgrd.aparm[1])*60.)-sdgrd.aparm[2])*60.)
#now break up degrees, but must preserve sign
decSign = 1.
if decDeg < 0.:
    decSign = -1.
    decDeg = -1. * decDeg

sdgrd.aparm[4]=math.floor(decDeg)
sdgrd.aparm[5]=math.floor((decDeg-sdgrd.aparm[4])*60.)
sdgrd.aparm[6]=round((((decDeg-sdgrd.aparm[4])*60.)-sdgrd.aparm[5])*60.)
#now deal with degrees and/or minutes == 0

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import reweight[1] [as 别名]
def dbcon(sys):
    argc = len(sys.argv)
    if argc < 3:
        print ''
        print 'dbcon: Combine all observations into a single dish fits file'
        print 'usage: doImage dbcon.py <aipsNumber> <feeds>'
        print '                        <average> <channels> <display> <rmsflag> <verbose> <baseline-subtract>'
        print '                        <keeptempfiles> <spectra File 1> [<spectra File n>]'
        print 'where <aipsNumber>     Your *PIPELINE* AIPS number (should always be the same)'
        print '      <spectra File 1> One or more calibrated spectra files (*.fits)'
        print '      Combined spectra are placed in catalog slot 1'
        print ''
        quit()
    
    feeds = sys.argv[2].split(',')
    average = sys.argv[3]
    channels = sys.argv[4]
    display_idlToSdfits = sys.argv[5]
    idlToSdfits_rms_flag = sys.argv[6]
    verbose = sys.argv[7]
    idlToSdfits_baseline_subtract = sys.argv[8]
    keeptempfiles = sys.argv[9]
    imfiles = sys.argv[10:]
    
    if not imfiles:
        return
    
    sdf_files = []
    for feed in feeds:
        files = []
        for xx in imfiles:
            if 'feed{num}'.format(num=feed) in xx:
                files.append(xx)
        
        if not files:
            continue
            
        sdf = run_idlToSdfits(files, average, channels, display_idlToSdfits,
                   idlToSdfits_rms_flag, verbose, idlToSdfits_baseline_subtract)
        sdf_files.append(sdf)
        
    AIPS.userno=int(sys.argv[1])    # retrieve AIPS pipeline user number
    mydisk=2                        # choose a good default work disk
    baddisk=1                       # list a disk to avoid (0==no avoidance)
    
    AIPSCat().zap()                 # empty the catalog
    
    uvlod=AIPSTask('uvlod')         # Create structures for AIPS tasks
    uvlod.outdisk=mydisk            # write all input data to a select disk
    fittp=AIPSTask('fittp')
    dbcon=AIPSTask('dbcon')
    uvsrt=AIPSTask('uvsrt')
    mandl=AIPSTask('mandl')
    
    # Need a temporary small file to reserve slot 1
    mandl.outdisk = mydisk
    # create an image that will be deleted at end
    mandl.go()
    
    #
    kount = 0                       # init count of similar input files
    
    for thisFile in sdf_files:        # input all AIPS single dish FITS files
        uvlod.datain='PWD:'+thisFile
        print uvlod.datain
        uvlod.outdisk=mydisk
        uvlod.go()
        spectra = AIPSUVData(AIPSCat()[mydisk][-1].name, AIPSCat()[mydisk][-1].klass, mydisk, AIPSCat()[mydisk][-1].seq)
        nuRef    = spectra.header.crval[2]
        if kount == 0:
            firstNu = nuRef
        if ((firstNu - nuRef) < -1.E5) or ((firstNu - nuRef) > 1.E5):
            print 'Frequencies differ: ',nuRef,' != ',firstNu
            spectra.zap()
        else:
            kount = kount+1
    
    spectra = AIPSUVData(AIPSCat()[mydisk][-1].name, AIPSCat()[mydisk][-1].klass, mydisk, AIPSCat()[mydisk][-1].seq)
    
    # prepare to accumulate source names
    allObjects = ["","","","","","","","","","","","","","","","","","","",
                      "","","","","","","","","","","","","","","","","","",""]
    allObjects[0] = spectra.header.object
    nObjects = 1
    
    if kount > 1:            # if more than 1 file DBCON them
    
        # always do first 2
        dbcon.indisk=mydisk
        dbcon.outdisk=mydisk
        dbcon.in2disk=mydisk
        dbcon.inname = AIPSCat()[mydisk][1].name
        dbcon.inclass = AIPSCat()[mydisk][1].klass
        dbcon.inseq = AIPSCat()[mydisk][1].seq
        dbcon.in2name = AIPSCat()[mydisk][2].name
        dbcon.in2class = AIPSCat()[mydisk][2].klass
        dbcon.in2seq = AIPSCat()[mydisk][2].seq
        print 'combining 1: ', dbcon.inname, dbcon.inclass, dbcon.inseq
        print 'combining 2: ', dbcon.in2name, dbcon.in2class, dbcon.in2seq
        dbcon.reweight[1] = 0
#.........这里部分代码省略.........