astrowisp.tests.test_fit_star_shape.noiseless_tests module

Class Inheritance Diagram

Test AstroWISP’s fit_star_shape module.

class astrowisp.tests.test_fit_star_shape.noiseless_tests.TestFitStarShapeNoiseless(methodName='runTest')

Bases: FloatTestCase

Test piecewise bicubic PSF fitting on noiseless images.

check_results(result_tree, image_index, sources, num_terms)

Assert that fitted PSF map and source fluxes match expectations.

Parameters:

• result_tree – The result tree containing the PSF fitting configuration and results.

• image_index – The index of the image for which to check results within the result tree (the same as the index when fitting was called).

• sources – The sources argument used to generate the image that was fit. See same name argument of run_test.

• num_terms (int) – The number of terms the PSF map depends on.

Returns:

None

create_debug_files(image, source_list, fit_config, sub_image=None)

Create the pair of files used by the C test of PSF fitting.

Parameters:

• image (2D numpy array) – The image being fit.

• source_list – The list of sources participating in the fit.

• fit_config – The FitStarShape.configuration of the PSF fitting object used for fitting.

• sub_image – The index of the image within the list of images being fit simultaneously.

run_test(sources, psffit_terms)

Assert that a fit of a series of images works exactly.

Parameters:

• sources –

  A list of lists of dictionaries specifying the list of sources to fit. Each list of dictionaries specifies the sources to drop on a single image. Each source must contain at least the following, as well as additional variables needed to evaluate psffit_terms:

  • x: The x coordinate of the source center.

  • y: The y coordinate of the source center.

  • psf_args: The arguments with which to create the PiecewiseBicubicPSF for the source. See PiecewiseBicubicPSF.__init__ for details.

• psffit_terms[str] – List of expressions involving entries in sources the PSF map will depend linearly on (e.g. ‘x**2 + y’). See asteval documentation for a list of available functions.

Returns:

None

test_four_overlapping_sources()

Test fitting an image containing 4 overlapping sources.

test_isolated_sources()

Test fitting an image containing 8 well isolated sources.

test_multi_image_with_extra_var()

Test fitting a series of 5 images and non-position variables.

test_single_source()

Test fitting a single source in the center of the image.

test_two_overlapping_sources()

Test fitting an image containing 2 sources all overlapping.