lcogt / banzai Goto Github PK

1m0-11
makebias
['20141130']
['coj1m011-kb05-20141130-0052-e00.fits'
'coj1m011-kb05-20141130-0051-e00.fits'
'coj1m011-kb05-20141130-0053-e00.fits'
'coj1m011-kb05-20141130-0061-e00.fits'
'coj1m011-kb05-20141130-0060-e00.fits'
'coj1m011-kb05-20141130-0054-e00.fits'
'coj1m011-kb05-20141130-0084-f00.fits'
'coj1m011-kb05-20141130-0083-f00.fits'
'coj1m011-kb05-20141130-0082-f00.fits'
'coj1m011-kb05-20141130-0081-f00.fits'
'coj1m011-kb05-20141130-0080-f00.fits']
select bias and make bias
Traceback (most recent call last):
File "/science/supernova/github/pylcogt/pylcogt/pylcogtmain.py", line 104, in
listfile = [k + v for k, v in zip(ll0['filepath'][ww], ll0['filename'][ww])]
IndexError: arrays used as indices must be of integer (or boolean) type
/home/supernova/lib/python2.7/site-packages/pylcogt-0.0.dev189-py2.7.egg/pylcogt/utils/pymysql.py:108: Warning: Data truncated for column 'dateobs' at row 1
cursor.execute(sql, values)

main.reduce_single_frame always crashes on this line:

if not image_utils.image_can_be_processed(fits_utils.get_primary_header(runtime_context.path), runtime_context):

fits_utils.get_primary_header returns an astropy.io.fits.Header object, but image_utils.image_can_be_processed expects an ObservationFrame object for the image argument, because it checks image.obstype, for example.

This is an automated issue from Astropy. You might be using code removed in astropy v6.0.dev from astropy/astropy#14670 in the following files:

* banzai/conftest.py

Please use https://docs.pytest.org/en/stable/how-to/capture-warnings.html instead.

If this issue is opened in error or irrelevant, feel free to close. We apologize for any inconvenience caused.

Traceback (most recent call last):
File "/science/supernova/github/pylcogt/pylcogt/pylcogtmain.py", line 125, in
pylcogt.utils.lcogtsteps.run_makeflat(listflat, _output, minimages=5)
File "/home/supernova/lib/python2.7/site-packages/pylcogt-0.0.dev178-py2.7.egg/pylcogt/utils/lcogtsteps.py", line 253, in run_makeflat
flatdata[i, :, :] /= imagemode(flatdata[i],200)
File "/home/supernova/lib/python2.7/site-packages/pylcogt-0.0.dev178-py2.7.egg/pylcogt/utils/lcogtsteps.py", line 164, in imagemode
gp.fit(X, y)
File "/opt/epd/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py", line 296, in fit
if np.min(np.sum(D, axis=1)) == 0.
File "/opt/epd/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 1895, in amin
return amin(axis, out)
ValueError: zero-size array to minimum.reduce without identity

banzai_reduce_directory is importing from main, reduce_directory which is not there anymore.

A user is having issues getting WCS solves on images of globular clusters (dense fields with many possible saturated sources). He created a video of changes he'd like to request we make to our banzai.astrometry.py, specifically the SOURCE_LIMIT=50 parameter. This parameter got changed in 2021 from 200 to 50. Our documentation still says 200. Is there any way we can help this person get his solves?

To whom it may concern,

If you are using https://github.com/astropy/ci-helpers in your appveyor.yml , please know that the Astropy project has dropped active development/support for Appveyor CI. If it still works, good for you, because we did not remove the relevant files (yet). But if it ever stops working, we have no plans to fix anything for Appveyor CI. Please consider using native Windows support other CI, e.g., Travis CI (see https://docs.travis-ci.com/user/reference/windows/). We apologize for any inconvenience caused.

If this issue is opened in error or irrelevant to you, feel free to close. Thank you.

xref astropy/ci-helpers#464

Traceback (most recent call last):
File "/science/supernova/github/pylcogt/pylcogt/pylcogtmain.py", line 113, in
pylcogt.utils.lcogtsteps.run_makebias(listbias, _output, minimages=5)
File "/home/supernova/lib/python2.7/site-packages/pylcogt-0.0.dev185-py2.7.egg/pylcogt/utils/lcogtsteps.py", line 125, in run_makebias
biasdata[i, :, :] = pyfits.getdata(f)[:, :]
ValueError: output operand requires a reduction, but reduction is not enabled

In photometry.py, line 90 to 94, the fluxes of the sources are computed in ellipses that are all rotated by pi/2.
See code snippet below:

# Calcuate the equivilent of flux_auto
flux, fluxerr, flag = sep.sum_ellipse(data, sources['x'], sources['y'],
                                      sources['a'], sources['b'],
                                      np.pi / 2.0, 2.5 * kronrad,
                                      subpix=1, err=error)

The same is passed to sep.sum_ellipse when computing background fluxes in the ellipses (line 141 to 144):

# Calculate the average background at each source
bkgflux, fluxerr, flag = sep.sum_ellipse(bkg.back(), sources['x'], sources['y'],
                                         sources['a'], sources['b'], np.pi / 2.0,
                                         2.5 * sources['kronrad'], subpix=1)

This might be a bug, as the ellipse parameters of the extracted sources are (a,b,theta), so each aperture is rotated by a different angle theta. If this is indeed a bug, suggested solutions would be:

# Calcuate the equivilent of flux_auto
flux, fluxerr, flag = sep.sum_ellipse(data, sources['x'], sources['y'],
                                      sources['a'], sources['b'],
                                      sources['theta'], 2.5 * kronrad,
                                      subpix=1, err=error)

# Calculate the average background at each source
bkgflux, fluxerr, flag = sep.sum_ellipse(bkg.back(), sources['x'], sources['y'],
                                         sources['a'], sources['b'], sources['theta'],
                                         2.5 * sources['kronrad'], subpix=1)

Maybe a silly question, but are you running this code in Python 2 or 3? I did not found this info in the docs...

Thanks!