Simon Birrer

Indeed, currently the uncertainties are symmetric Gaussian's only. One way to generalize is to feed in 2d covariance matrices (not dependent on what x- and y- directions are). Then the...

Hi Dom, in the pre-release_dev branch I changed the input from 'image_position_uncertainties' to 'image_position_cov_error' and in the code documentation you see the meaning of it and in the tests how...

I see. I am quite busy the next couple of days. This should not be too hard to implement. So I leave this issue open. Bug me in case it's...

some people are indeed struggling with numba (either the install or the configuration on clusters). Having a better configuration method (currently you would need to over-write on initialization the variables...

I close this issue since there is a configuration file that enables to disable numba completelyhttps://github.com/lenstronomy/lenstronomy/blob/main/lenstronomy/Conf/conf_default.yaml

> Hi @jhod0, cool sounds good! > > If your project requires deflection angles computed from the exact SIDM density profile rather than an approximation like cored NFW, that would...

You can see the integrated testing results here: https://app.travis-ci.com/github/sibirrer/lenstronomy/builds/234520911 which failed. FYI: You can also execute these tests locally before pushing for convenience. I.e. py.test test/test_Cosmo/test_lens_cosmo.py

Great that your current tests are passing. Here you see which lines of executable code has not yet been tested: https://coveralls.io/builds/41974068/source?filename=lenstronomy%2FLensModel%2FProfiles%2Fcosmic_string.py#L74

Hi @JohannesBuchner ! I am very interested to have UltraNest be supported! MPI and resuming from disk is a much appreciated (and needed) part for complex sampling. Most users currently...

I see. So I leave this issue open and see whether someone else wants to make use of UltraNest in their application. Thanks for the pointer!