本文整理汇总了Python中AIPSTask.AIPSTask.dovect方法的典型用法代码示例。如果您正苦于以下问题：Python AIPSTask.dovect方法的具体用法？Python AIPSTask.dovect怎么用？Python AIPSTask.dovect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.dovect方法的3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: runkntr
# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import dovect [as 别名]
def runkntr(image, factor, userno):
imean = AIPSTask('IMEAN')
imean.userid = userno
imean.indata = image
imean()
kntr = AIPSTask('KNTR')
kntr.dogrey = -1
kntr.dovect = -1
kntr.docont = 1
kntr.indata = image
kntr.blc[1:] = 0,0
kntr.trc[1:] = 0,0
# kntr.clev = 3*imean.pixstd
# kntr.levs[1:] = -1,1,2,4,6,8,16,32,64,128
kntr.cbpl = 16
kntr.dotv = -1
kntr.plev = 1
rms = imean.pixstd
peak = image.header.datamax
# Set the kntr levels based on dynamic range
firstlev = factor*abs(rms/peak)*300.
kntr.levs[1] = firstlev * (-1.)
kntr.levs[2] = firstlev
i = 3
while (kntr.levs[i-1]*2. < 100. and i<=30):
kntr.levs[i] = 2 * kntr.levs[i - 1]
i += 1
kntr.go()示例2: __init__
# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import dovect [as 别名]
#.........这里部分代码省略.........
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"]
if self.args["doBP"]:
calibSelf.doband = 1
calibSelf.bpver = 1
calibSelf.go()
snVers = snVers + 1
SN = 0
for i in uvdata.tables:
if i[1] == 'AIPS SN' and i[0]>SN:
SN = i[0]
if not SN == snVers:
print("SN = {0} , snVers = {1}".format(SN, snVers))
sys.exit("SN table number missmatch")
print("calibSelf created SN table {0}".format(snVers))
#makes contour plot
kntr = AIPSTask('KNTR')
kntr.indata = imageClean
kntr.levs = AIPSList([-1,1,2,3,4,5,7,10])
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]
kntr.go()
lwmp = AIPSTask('LWPLA')
lwmp.indata = imageClean
lwmp.plver = 1
lwmp.invers = 1
lwmp.outfile = os.getcwd() + '/images_{0}/{1}_time{2}'.format(self.args["date"],self.args["cal"],self.iterNum) + '.ps'
lwmp.go()
print("Running clcal")
clcal.snver = snVers
clcal.inver = snVers
clcal.sources[1] = self.args["cal"]
clcal.calsour[1] = self.args["cal"]
clcal.gainver = clVers
print("clVers = {0}".format(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))
print("Running clcal.")示例3: __init__
# 需要导入模块: from AIPSTask import AIPSTask [as 别名]
# 或者: from AIPSTask.AIPSTask import dovect [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.........