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Collection of functions for astronomical image analysis and processing. These tools involves pure python, but also are integrated with CASA (https://casa.nrao.edu/)
I am currently migrating everything I have developed over the past few months from my private repo to this public repo. But I am still thinking of how the code organisation will be. The idea is that this package contains multiple utilities (for radio astronomy, optical, etc), combining different kinds of analysis. The code aims is to be as general as possible and easy to use.
morphen
It would be critical to stablish on-the-fly (during the minimisation) which model components are 'compact' and which are 'extended'. Hence, we can get a better report of statistics to highlight compact and diffuse structures.
To do:
Compare minimisation runtime using morphen
, IMFIT and GALFIT.
There is an unknown issue where jax.scipy.signal.fftconvolve and scipy.signal.fftconvolve yields different results with LMFIT.
The following experiments must be conducted:
Need to improve source detection, in order to work well for a wide range of images with different resolution, SNR, etc.
Source extraction must be improved. Tricky to find 'default' detection parameters since the noise structure and SNR changes significantly across images with distinct angular resolutions (e.g. eMERLIN -> JVLA).
Check the interferometric decomposition implementation.
imsmooth
is providing different results than scipy.signal.fftconvolve
, setting proper normalisation parametersimsmooth
should or should not conserve flux density.An issue needs to be fixed for the following selfcal run:
combine='spw'
and step 'ap1' uses the bright
template, the corresponding spwmap
for ap1
will be wrong, as it will not use the spwmap
from step p0
.When using usemask='auto-multithresh'
and outlierfile
, CASA gives and error.
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