Thomas Robitaille

Results 433 issues of Thomas Robitaille

I am trying to avoid getting a warning about the astrometry.net API key when initializing the AstrometryNet class, without having to define the API key in the config file: ```...

astrometry.net

I haven't had time to dig further into this, but got a strange warning when trying to do a simple query: ``` from astroquery.vizier import Vizier result = Vizier(catalog='IV/38/tic').query_constraints(TIC='1402786096') WARNING:...

Upstream
vizier

When doing PSF photometry, I sometimes get warnings about the fit being unsuccessful: ![Screenshot from 2019-10-18 13-22-35](https://user-images.githubusercontent.com/314716/67093886-7d463c00-f1aa-11e9-957e-ff4c85bebc4c.png) However the warning is unhelpful, since it's not clear where to access ``fit_info``.

psf

It would be nice to not have to create an NDData object just for ``extract_stars`` - other parts of photutils support plain Numpy arrays. Maybe ``extract_stars`` could include the ``@support_nddata``...

psf
epsf

Currently in ``BasicPSFPhotometry`` the ``bkg_estimator`` argument can be ``None``, but since it is a positional argument it *has* to be specified. I think it would make sense to make it...

psf

The documentation at: https://photutils.readthedocs.io/en/stable/api/photutils.psf.BasicPSFPhotometry.html#photutils.psf.BasicPSFPhotometry refers to ``init_guesses`` but it doesn't seem to be a valid keyword argument. If this was removed, what is now the proper way to provide the...

psf

I am using the ``DAOStarFinder`` to find stars and would like to use this table directly in ``extract_stars`` - it would be nice to be able to do this without...

psf
epsf

At the moment, when using the native plotting module, the ticks are on the outside and the left and bottom axes are bold: Now this is just a matter of...

At the moment, it looks like the ``help=`` text doesn't set the ``__doc__`` attribute of traits, which produces this kind of output when using sphinx's autosummary: ![screen shot 2017-12-04 at...

enhancement
sprint-friendly
good first issue

In the following example: ```python from traitlets import HasTraits, Integer class State(HasTraits): a = Integer() b = Integer() def callback(*args, **kwargs): print(args, kwargs) s = State() s.observe(callback) with s.hold_trait_notifications(): s.a...