iraf.net

I'm trying to normalize the flat under PyRAF, but I got the following error message:
[code:1:75b63215ee]
--> noao
--> imred
--> echelle
... ...
--> apnormalize
List of images to normalize: flat_b
List of output normalized images: flat_n
Recenter apertures for flat_b? ('yes'):
Resize apertures for flat_b? ('yes'):
Edit apertures for flat_b? ('yes'):
Trace apertures for flat_b?Fit traced positions for flat_b interactively?Not enough points traced for aperture 1 of flat_b
Write apertures for flat_b to databaseNormalize apertures in flat_b?Fit spectra from flat_b interactively?Killing IRAF task `apnormalize'PANIC in `/iraf/iraf/noao/bin.linux/x_apextract.e': Write to IPC with no reader
Traceback (innermost last):
File "<CL script CL1>", line 1, in <module>
iraf.apnormalize(_save=1)
IrafError: Could not find task apnorm to get parameter apnorm.background
Failed to get parameter apnorm1.background
[/code:1:75b63215ee]Then I try to write a Python script:
[code:1:75b63215ee]
from pyraf import iraf
iraf.noao(_doprint=0)
iraf.imred(_doprint=0)
iraf.echelle(_doprint=0)
... ...
iraf.apnormalize.unlearn()
iraf.apnormalize.input = "flat_b.fits"
iraf.apnormalize.output = "flat_n.fits"
iraf.apnormalize.find = "no"
iraf.apnormalize.trace = "no"
iraf.apnormalize.fittrac = "no"
iraf.apnormalize.functio = "legendre"
iraf.apnormalize.order = 7
iraf.apnormalize.niterat = 5
iraf.apnormalize()
[/code:1:75b63215ee]And it still doesn't work.
[code:1:75b63215ee]
... ...
List of images to normalize ('flat_b.fits'):
List of output normalized images ('flat_n.fits'):
Recenter apertures for flat_b? ('yes'):
Resize apertures for flat_b? ('yes'):
Edit apertures for flat_b? ('yes'):
Write apertures for flat_b to databaseNormalize apertures in flat_b?Fit spectra from flat_b interactively?Killing IRAF task `apnormalize'
Traceback (most recent call last):
File "./a.py", line 154, in <module>
iraf.apnormalize()
File "/usr/lib/python2.5/site-packages/pyraf/iraftask.py", line 673, in __call__
return apply(self.run,args,kw)
File "/usr/lib/python2.5/site-packages/pyraf/iraftask.py", line 277, in run
self._run(redirKW, specialKW)
File "/usr/lib/python2.5/site-packages/pyraf/iraftask.py", line 715, in _run
(self, iraf.getVarDict()), redirKW)
File "/usr/lib/python2.5/site-packages/pyraf/irafexecute.py", line 349, in IrafExecute
raise exc
pyraf.irafglobals.IrafError: Could not find task apnorm to get parameter apnorm.background
Failed to get parameter apnorm1.background
[/code:1:75b63215ee]It seems that PyRAF cannot distinguish the task "apnormalize" and "apnorm1". Is it a bug? How can i fix it?

I'd suggest getting the latest version of PyRAF if you haven't already (a new version was released recently). If this is a bug, it is in the PyRAF code and not IRAF, you should contact help@stsci.edu to follow up.-Mike

[quote:2f77f08f3b="fitz"]I'd suggest getting the latest version of PyRAF if you haven't already (a new version was released recently). If this is a bug, it is in the PyRAF code and not IRAF, you should contact help@stsci.edu to follow up.-Mike[/quote:2f77f08f3b]Thank you for your reply, Mike. I have tried PyRAF 1.8 but encountered the same problem .

Problem solved!by iraf.apnorm1.lParam(), I found that
[code:1:bf5dd935e3]
... ...
# EXTRACTION PARAMETERS

(background = ")apnorm.background") >apnorm.background
(skybox = )apnorm.skybox) >apnorm.skybox
(weights = ")apnorm.weights") >apnorm.weights
(pfit = ")apnorm.pfit") >apnorm.pfit
(clean = )apnorm.clean) >apnorm.clean
(nclean = 0.5) Maximum number of pixels to clean
(niterate = 5) Number of profile fitting iterations
(saturation = )apnorm.saturation) >apnorm.saturation
(readnoise = ")apnorm.readnoise") >apnorm.readnoise
(gain = ")apnorm.gain") >apnorm.gain
(lsigma = )apnorm.lsigma) >apnorm.lsigma
(usigma = )apnorm.usigma) >apnorm.usigma
(polysep = 0.9) Marsh algorithm polynomial spacing
(polyorder = 10) Marsh algorithm polynomial order
(nsubaps = 1) Number of subapertures per aperture
... ...
[/code:1:bf5dd935e3]The problem is, "apnormalize" and "apnorm1" share the same abbreviation “apnorm”, so PyRAF don't know which one do you want to use. In IRAF CL, one can use "apnormalize" by just typing "apnorm". While it doesn't work in PyRAF. You must type either "apnormalize" or "apnorm1".So "apnorm1" task cannot get value of parameters by ")apnorm.XXX".
All you need to do is adding some lines in your script to correct those ")apnorm.XXX" 8)
[code:1:bf5dd935e3]
... ...
iraf.apnorm1.unlearn()
iraf.apnorm1.background = ")apnormalize.background"
iraf.apnorm1.skybox = ")apnormalize.skybox"
iraf.apnorm1.weights = ")apnormalize.weights"
iraf.apnorm1.pfit = ")apnormalize.pfit"
iraf.apnorm1.clean = ")apnormalize.clean"
iraf.apnorm1.saturation = ")apnormalize.saturation"
iraf.apnorm1.readnoise = ")apnormalize.readnoise"
iraf.apnorm1.gain = ")apnormalize.gain"
iraf.apnorm1.lsigma = ")apnormalize.lsigma"
iraf.apnorm1.usigma = ")apnormalize.usigma"
... ...
[/code:1:bf5dd935e3]iraf.apnorm1.lParam()[code:1:bf5dd935e3]
... ...
# EXTRACTION PARAMETERS

(background = ")apnormalize.background") >apnorm.background
(skybox = )apnormalize.skybox) >apnorm.skybox
(weights = ")apnormalize.weights") >apnorm.weights
(pfit = ")apnormalize.pfit") >apnorm.pfit
(clean = )apnormalize.clean) >apnorm.clean
(nclean = 0.5) Maximum number of pixels to clean
(niterate = 5) Number of profile fitting iterations
(saturation = )apnormalize.saturation) >apnorm.saturation
(readnoise = ")apnormalize.readnoise") >apnorm.readnoise
(gain = ")apnormalize.gain") >apnorm.gain
(lsigma = )apnormalize.lsigma) >apnorm.lsigma
(usigma = )apnormalize.usigma) >apnorm.usigma
(polysep = 0.9) Marsh algorithm polynomial spacing
(polyorder = 10) Marsh algorithm polynomial order
(nsubaps = 1) Number of subapertures per aperture
... ...
[/code:1:bf5dd935e3]