rimexam still does not work. Running it with the m51 fits image from iraf:
Current image /Users/karl/Dropbox/Templates/m51_iraf.fits
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=440.9853 yc=408.6807
(443,411) mean= 441.04, fwhm= 2.75
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=429.1555 yc=405.2307
(435,407) mean= 397.66, fwhm= 125.70
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=440.9852 yc=408.6807
(438,408) mean= 441.04, fwhm= 2.75
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=440.9852 yc=408.6807
(440,407) mean= 408.72, fwhm= 2.53
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=384.6102 yc=253.0607
(386,253) mean= 253.48, fwhm= 6.81
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=403.5343 yc=273.3214
(406,275) mean= 273.36, fwhm= 2.55
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=437.9990 yc=25.4316
(442,23) mean= 24.80, fwhm= 5.25
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=378.1463 yc=65.8309
(376,67) mean= 65.87, fwhm= 2.52
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=440.9852 yc=408.6807
(440,405) mean= 408.72, fwhm= 2.53
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=346.5188 yc=230.6472
(345,230) mean= 346.57, fwhm= 2.66
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=464.5063 yc=61.1100
(460,62) mean= 464.52, fwhm= 2.58
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=440.9852 yc=408.6807
(441,405) mean= 441.04, fwhm= 2.75
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=440.9852 yc=408.6807
(441,405) mean= 408.72, fwhm= 2.53
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=440.9852 yc=408.6807
(441,405) mean= 441.04, fwhm= 2.75
using model: <class 'astropy.modeling.functional_models.Gaussian1D'>
Name: Gaussian1D
N_inputs: 1
N_outputs: 1
Fittable parameters: ('amplitude', 'mean', 'stddev')
xc=440.9852 yc=408.6807
(441,405) mean= 408.72, fwhm= 2.53
xc=440.9849 yc=408.6810
Max. pix. flux = 3164.000
amp = 3509.763
fwhm = 2.851
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/anaconda3/envs/imexam2/lib/python3.10/site-packages/imexam/connect.py", line 150, in imexam
self._run_imexam()
File "/opt/anaconda3/envs/imexam2/lib/python3.10/site-packages/imexam/connect.py", line 264, in _run_imexam
self.exam.do_option(
File "/opt/anaconda3/envs/imexam2/lib/python3.10/site-packages/imexam/imexamine.py", line 201, in do_option
self.imexam_option_funcs[key][0](x, y, self._data)
File "/opt/anaconda3/envs/imexam2/lib/python3.10/site-packages/imexam/imexamine.py", line 1256, in radial_profile
ax.set_xlim(0, datasize, 0.5)
TypeError: _AxesBase.set_xlim() takes from 1 to 3 positional arguments but 4 were given
I tried a different FITS image and got the same result.
rimexam still does not work. Running it with the m51 fits image from iraf:
I tried a different FITS image and got the same result.
The offending line of code is:
ax.set_xlim(0, datasize, 0.5)I think this should only take two args so I do not know what is going on. Removing the '0.5' does make it work.