Python AIPSTask.xparm[2]方法代码示例

本文整理汇总了Python中AIPSTask.AIPSTask.xparm[2]方法的典型用法代码示例。如果您正苦于以下问题：Python AIPSTask.xparm[2]方法的具体用法？Python AIPSTask.xparm[2]怎么用？Python AIPSTask.xparm[2]使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类AIPSTask.AIPSTask的用法示例。

在下文中一共展示了AIPSTask.xparm[2]方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。

示例1:

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import xparm[2] [as 别名]
#now deal with degrees and/or minutes == 0
if decSign < 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
#sdgrd.aparm[4]=decDeg
#custom edited for Sgr B2 obs
#if  cellsize < 2:
#cellsize = 6
sdgrd.cellsize[1] = cellsize
sdgrd.cellsize[2] = cellsize
sdgrd.xparm[1] = 8*cellsize
sdgrd.xparm[2] = 2.5*cellsize
sdgrd.xparm[3] = 2
if imxSize < 10:
    imxSize = 150
if imySize < 10:
    imySize = 150
sdgrd.imsize[1] = imxSize
sdgrd.imsize[2] = imySize
## The above lines set the default image parameters
## Below override imaging parameters to make uniform images
# RA
sdgrd.aparm[1] = 19
sdgrd.aparm[2] = 23
sdgrd.aparm[3] = 40
# DEC
sdgrd.aparm[4] = 14

开发者ID:jfoster17，项目名称:gbt-pipeline，代码行数:33，代码来源:imageW51.py

示例2:

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import xparm[2] [as 别名]
sdgrd.aparm[6]=round((((decDeg-sdgrd.aparm[4])*60.)-sdgrd.aparm[5])*60.)
#now deal with degrees and/or minutes == 0
if decSign < 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[1:6]
#transfer cellsize 
sdgrd.cellsize[1] = cellsize
sdgrd.cellsize[2] = cellsize
# sync/bessel function parameters
sdgrd.xtype=-16
sdgrd.xparm[1] = 4*cellsize
sdgrd.xparm[2] = 2.5*cellsize
sdgrd.xparm[3] = 1.5*cellsize
sdgrd.xparm[4] = 2
# gaussian parameters
sdgrd.xtype=-12
sdgrd.xparm[1] = 4.0*cellsize
sdgrd.xparm[2] = 2.5*cellsize # this parameter sets the gaussian FWHM
sdgrd.xparm[3] = 2
sdgrd.xparm[4] = 0
# always make a circuluar convolving function
sdgrd.ytype=sdgrd.xtype
if imxSize < 30:
    imxSize = 50
#prevent error due to large image sizes; temporary
if imxSize > 500:
    imxSize = 150

开发者ID:jfoster17，项目名称:gbt-pipeline，代码行数:33，代码来源:mapNH3-50.py

示例3:

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import xparm[2] [as 别名]
    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 
sdgrd.cellsize[1] = cellsize
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*cellsize
    sdgrd.xparm[2] = 2.5*cellsize
    sdgrd.xparm[3] = 1.5*cellsize
    sdgrd.xparm[4] = 2
    sdgrd.reweight[2] = .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.E-6
# always make a circuluar convolving function
sdgrd.ytype=sdgrd.xtype
#prevent error due to large image sizes; temporary
#if imxSize > 700:
#    imxSize = 150

开发者ID:jfoster17，项目名称:ramps，代码行数:33，代码来源:mapRAMPS.py

示例4: make_cube

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import xparm[2] [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

开发者ID:nrao，项目名称:gbt-pipeline，代码行数:98，代码来源:image.py

示例5:

# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import xparm[2] [as 别名]
#now deal with degrees and/or minutes == 0
if decSign < 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
#sdgrd.aparm[4]=decDeg
#custom edited for Sgr B2 obs
#if  cellsize < 2:
#cellsize = 6
sdgrd.cellsize[1] = cellsize
sdgrd.cellsize[2] = cellsize
sdgrd.xparm[1] = 8*cellsize
sdgrd.xparm[2] = 2*cellsize
sdgrd.xparm[3] = 2
if imxSize < 10:
    imxSize = 150
if imySize < 10:
    imySize = 150
sdgrd.imsize[1] = imxSize
sdgrd.imsize[2] = imySize
## The above lines set the default image parameters
## Below override imaging parameters to make uniform images
# RA
sdgrd.aparm[1] = 19
sdgrd.aparm[2] = 23
sdgrd.aparm[3] = 40
# DEC
sdgrd.aparm[4] = 14

开发者ID:jfoster17，项目名称:gbt-pipeline，代码行数:33，代码来源:imNH3-11.py

注：本文中的AIPSTask.AIPSTask.xparm[2]方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。