本文整理汇总了Python中AIPSTask.AIPSTask.nboxes方法的典型用法代码示例。如果您正苦于以下问题：Python AIPSTask.nboxes方法的具体用法？Python AIPSTask.nboxes怎么用？Python AIPSTask.nboxes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.nboxes方法的4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: runuvhgm
# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import nboxes [as 别名]
def runuvhgm(indata, sources, anten, basel, SEFDbif, SEFDeif, SEFDbchan, SEFDechan):
uvhgm = AIPSTask('UVHGM')
uvhgm.indata = indata
uvhgm.sources[1:] = sources
uvhgm.antennas[1:] = anten
uvhgm.baseline[1:] = basel
uvhgm.bif = SEFDbif
uvhgm.eif = SEFDeif
uvhgm.flagver = 0
uvhgm.stokes ='HALF'
uvhgm.bchan = SEFDbchan
uvhgm.echan = SEFDechan
uvhgm.doall = 1
uvhgm.axtype ='H'
uvhgm.timerang[1:] = 0, 0, 0, 0, 0, 0, 0, 0
# uvhgm.timerang[1:] = 0, 0, 0, 0, 3, 0, 0, 0
# uvhgm.pixrange[1:] = -20, 20
uvhgm.dotv = -1
uvhgm.docal = 1
uvhgm.gainuse = 0
uvhgm.pixrange[1:] = -10, 10
uvhgm.doband = -1
uvhgm.nboxes = 1000
uvhgm.go()示例2: __init__
# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import nboxes [as 别名]
#.........这里部分代码省略.........
clcal.sources[1] = self.args["cal"]
clcal.snver = snVers
clcal.inver = snVers
clcal.gainver = clVers
clcal.go() #Apply only to cal
clVers = clVers + 1
CL = 0
for i in uvdata.tables:
if i[1] == 'AIPS CL' and i[0]>CL:
CL = i[0]
if not CL == clVers:
sys.exit("CL table number missmatch")
print("Clcal created CL table {0}".format(clVers))
#cleans the image
print("Running imagr")
imagr = AIPSTask('IMAGR')
imagr.indata = uvdata
imagr.sources[1] = self.args["cal"]
imagr.timerang = self.args["time"]
imagr.docalib = 1
imagr.outseq = iterNum #test to force it to make file
imagr.gainuse = clVers
imagr.bchan = self.args["bchan"]
imagr.echan = self.args["echan"]
imagr.nchav = (self.args["echan"]-self.args["bchan"] + 1)
if self.args["doBP"]:
imagr.doband = 1
imagr.bpver = 1
if self.args["excludeTelly"]:
imagr.antennas[1:] = self.args["excludedTellys"]
imagr.cellsize = AIPSList([0.0001,0.0001])
imagr.imsize = AIPSList([256,256])
imagr.nboxes = len(self.args["CalCleanBox"])
imagr.clbox[1:] = self.args["CalCleanBox"]
imagr.niter = 1000
imagr.go()
print("Done with imagr")
#to get last positive row
latestImgTable = 0
for j in imageClean.tables:
if j[1] == 'AIPS CC' and j[0]>latestImgTable:
latestImgTable = j[0]
ccTable = imageClean.table('CC', latestImgTable)
for row, i in enumerate(ccTable, start=2): #start @ 2 to get last positive
if i['flux']<0:
lastPositive = row
break
print("The last positive component number is: {0}".\
format(lastPositive))
print("Running Calib")
calibSelf = AIPSTask('calib')
calibSelf.in2data = imageClean
calibSelf.indata = uvdata
calibSelf.calsour[1] = self.args["cal"]
calibSelf.docalib = 1
calibSelf.gainuse = clFring
calibSelf.solint = 0.2
calibSelf.soltype = 'L1'
calibSelf.solmode = 'A&P'
if self.args["excludeTelly"]:
calibSelf.antennas[1:] = self.args["excludedTellys"]
calibSelf.ncomp[1] = lastPositive
calibSelf.timer = self.args["time"]示例3: range
# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import nboxes [as 别名]
if file.endswith(fileend):
uvname.append(uvdataname[0:8])
# makes a list of file prefixes to be used in multi self cal, all data is loaded.
for i in range(len(uvname)):
uvdata = AIPSUVData(uvname[i], "SPLAT", indisk, 1) # name the uv file in AIPS
imagedata = AIPSImage(uvname[i], "IIM001", indisk, 1)
nchan = uvdata.header.naxis[2]
imagr = AIPSTask("IMAGR")
imagr.nchav = nchan # use imagr to get a clean model!
imagr.indata = uvdata
imagr.outname = uvdata.name
imagr.cellsize[1:] = findmaxb(uvdata)
imagr.imsize[1:] = imsize
imagr.nboxes = 1
imagr.nfield = 1
imagr.outdisk = indisk
imagr.uvwtfn = ""
imagr.niter = niter
imagr.go()
imagedatacl = AIPSImage(uvname[i], "ICL001", indisk, 1)
imean = AIPSTask("IMEAN")
imean.indata = imagedatacl
imean.indisk = indisk
imean.doprint = 1
imean.outtext = "PWD:IMEAN" + uvname[i] + ".txt"
imean()
示例4: __init__
# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import nboxes [as 别名]
def __init__(self, clVers, **args):
self.clVers = clVers
self.args = args
self.clVers = 3
AIPS.userno=self.args["user"]
uvdata = AIPSUVData(self.args["name"], 'UVDATA', 1, self.args["inseq"])
t = [] #files t with [day, hour, min, sec, day, hour, min, sec]
with open(self.args["timeList"], 'r') as f:
for l in f.readlines():
t.append(map(str,l.split()[1:9]))
for j in t:
realtime = ''.join([j[i] for i in range(len(j))])[0:7]
imgname = realtime[0:5]
#need to shorten the names for AIPS
imagr = AIPSTask('IMAGR')
imagr.indata = uvdata
imagr.sources[1] = self.args["source"]
imagr.docalib = 1
imagr.gainuse = self.clVers
imagr.bchan = self.args["SCbchan"]
imagr.echan = self.args["SCechan"]
imagr.nchav = (self.args["SCechan"] - self.args["SCbchan"] + 1)
#averages over all channels
if self.args["doBP"]:
imagr.doband = 1
imagr.bpver = 1
if self.args["excludeTelly"]:
imagr.antennas[1:] = self.args["excludedTellys"]
imagr.outname = imgname
imagr.outseq = 1
imagr.cellsize = AIPSList([0.0001,0.0001])
#imagr.imsize = AIPSList([1024,1024])
imagr.imsize = AIPSList([256,256])
imagr.nboxes = 1
imagr.clbox[1] = self.args["fitBox"]
imagr.niter = 1000
imagr.timerang[1:] = [int(j[i]) for i in range(len(j))]#AIPSList(j)
good = True
try:
imagr.go()
except RuntimeError as e:
print("\nSomething went wrong!\n => {0}".format(e))
with open(os.getcwd() + '/images_{0}/badtimes.txt'.format(self.args["date"]), 'a') as out:
out.write("{0}\n".format(imgname))
good = False
if good:
imageClean = AIPSImage(imgname, 'ICL001',1,1)
imageDirty = AIPSImage(imgname, 'IBM001',1,1)
imageClean.clrstat() #makes sure AIPS does not trip
imageDirty.clrstat()
jmfit = AIPSTask('JMFIT')
jmfit.indata = imageClean
jmfit.blc[1] = .80*self.args["fitBox"][1]#fraction to increase box size
jmfit.blc[2] = .80*self.args["fitBox"][2]
jmfit.trc[1] = 1.20*self.args["fitBox"][3]
jmfit.trc[2] = 1.20*self.args["fitBox"][4]
jmfit.niter = 1000
jmfit.doprint = 1 #CHANGED TO doprint!
address = os.getcwd() + '/images_{0}/'.format(self.args["date"]) + realtime
jmfit.fitout = address + '.crd'
jmfit.go()
RA = [None]*4 #holds locations
DEC = [None]*4
with open(address + '.crd', 'r') as f:
for l in f.readlines():
temp = l.split()
#for j in range(len(temp)):
if len(temp)>0:
if temp[0] == 'RA':
RA[0] = int(temp[1])
RA[1] = int(temp[2])
RA[2] = float(temp[3])
RA[3] = float(temp[5])
elif temp[0] =='DEC':
DEC[0] = int(temp[1])
DEC[1] = int(temp[2])
DEC[2] = float(temp[3])
DEC[3] = float(temp[5])
with open(os.getcwd() + '/images_{0}/locations.txt'.format(self.args["date"]), 'a') as out:
out.write("{0}\t{1}\t{2}\t{3:^10}\t{4:^6}\t{5}\t{6}\t{7:^7}\t{8}\n".
format(realtime, RA[0], RA[1], RA[2], RA[3], \
DEC[0], DEC[1], DEC[2], DEC[3]))
#makes contour plot
kntr = AIPSTask('KNTR')
kntr.indata = imageClean
kntr.levs = AIPSList([2,3,4,5,7,10,13,17])
kntr.dogrey = -1
kntr.dotv = -1
kntr.dovect = -1
#kntr.blc[1] .80*self.args["fitBox"][1]
#kntr.blc[2] .80*self.args["fitBox"][2]
#kntr.trc[1] 1.20*self.args["fitBox"][3]
#kntr.trc[2] 1.20*self.args["fitBox"][4]
#.........这里部分代码省略.........