API

petrofit.correction Module

This function generates corrections for Petrosian radii by simulating a galaxy image and measuring its properties.

`fit_model`(image, model[, weights, maxiter, ...])	Wrapper function to conveniently fit an image to an input model.
`model_to_image`(model, size[, mode, factor, ...])	Converts 2D models into images using `astropy.convolution.utils.discretize_model`.
`fit_background`(image[, model, sigma])	Fit sigma clipped background image using a user provided model.
`fit_gaussian2d`(image)	Fit a 2D gaussian to a source in an image.
`print_model_params`(model)	Print the params and values of an AstroPy model
`plot_fit`(model, image[, mode, center, vmin, ...])	Plot fitted model, its 1D fit profile and residuals.

`get_default_sersic_bounds`([override])	Returns the default bounds of the Sersic profile.
`make_grid`(size[, origin, factor])	Function to make image sampling grid.
`sersic_enclosed`(r, amplitude, r_eff, n[, ellip])
`sersic_enclosed_inv`(f, amplitude, r_eff, n)
`petrosian_profile`(r, r_eff, n)
`get_default_gen_sersic_bounds`([override])

`PSFConvolvedModel2D`(model[, psf, ...])	Fittable model for converting `FittableModel` and `CompoundModel` into 2D images.
`PetroApprox`()	This class contains approximations of various Pertorisian and Sersic parameters.
`GenSersic2D`([c_0])	Two dimensional Sersic surface brightness profile with Generalized Ellipses described in Peng et al. 2010.

`plot_petrosian`(r_list, area_list, flux_list)	Given photometric values, plots petrosian profile.
`calculate_petrosian`(area_list, flux_list)	Given a list of aperture areas and associated fluxes, computes the petrosian curve.
`calculate_petrosian_r`(r_list, area_list, ...)	Calculate petrosian radius from photometric values using interpolation.
`discrete_petrosian_r`(r_list, area_list, ...)	Calculate petrosian radius from photometric values by using the nearest value petrosian to eta.
`calculate_r_total_flux`(r_list, area_list, ...)	Given photometric values, calculate Petrosian `r_total_flux`.
`fraction_flux_to_r`(r_list, flux_list, ...[, ...])	Given photometric values and `r_total_flux`, calculate radius which encloses a specified fraction of the total flux.
`calculate_r_half_light`(r_list, flux_list, ...)	Given photometric values, calculate Petrosian `r_half_light`.
`calculate_concentration_index`(r_list, ...[, ...])	Calculates Petrosian concentration index.
`estimate_n`(c2080pet[, verbose])

`Petrosian`(r_list, area_list, flux_list[, ...])	Class that computes and plots Petrosian properties.
`PetrosianCorrection`(grid_file)	This class computes corrections for Petrosian given default Petrosian measurements.

`plot_apertures`([image, apertures, vmin, ...])	Plot apertures on image
`flux_to_abmag`(flux, header)	Convert HST flux to AB Mag
`order_cat`(cat[, key, reverse])	Sort a catalog by largest area and return the argsort
`radial_elliptical_aperture`(position, r[, ...])	Helper function given a radius, elongation and theta, will make an elliptical aperture.
`radial_elliptical_annulus`(position, r, dr[, ...])	Helper function given a radius, elongation and theta, will make an elliptical aperture.
`calculate_photometic_density`(r_list, flux_list)	Compute value between radii
`make_radius_list`(max_pix, n[, log])	Make an array of radii of size n up to max_pix
`photometry_step`(position, r_list, image[, ...])	Core photometry function.
`source_photometry`(source, image, ...[, ...])	Aperture photometry on a PhotUtils `SourceProperties`.

`plot_segments`(segm[, image, vmin, vmax, ...])	Plot segmented areas over an image (2D array, if provided)
`plot_segment_residual`(segm, image[, vmin, vmax])	Plot segment subtracted image (residual)
`get_source_position`(source)	Return max x, y value of a SourceCatalog or catalog row
`get_source_elong`(source)	Return SourceCatalog elongation
`get_source_ellip`(source)	Return SourceCatalog ellipticity
`get_source_theta`(source)	Return SourceCatalog orientation in rad
`get_amplitude_at_r`(r, image, x0, y0, ellip, ...)	Finds the amplitude at an isophotal radius `r`.
`make_kernel`(fwhm, kernel_size)
`segm_mask`(source, segm[, mask_background])	Given a segmentation and a target with an label, returns a mask with all other sources masked in the original image.
`masked_segm_image`(source, image, segm[, ...])	Returns a masked image of the original image by masking out other sources
`make_segments`(image[, npixels, threshold, ...])	Segment an image.
`deblend_segments`(image, segm[, npixels, ...])	Deblend overlapping sources labeled in a segmentation image.

`match_catalogs`(ra_1, dec_1, ra_2, dec_2[, unit])	Wrapper for `SkyCoord.match_to_catalog_sky`
`angular_to_pixel`(angular_diameter, wcs)
`pixel_to_angular`(pixel_size, wcs)
`elliptical_area_to_r`(area, elong)
`circle_area_to_r`(area)
`get_interpolated_values`(x, y[, num, kind])
`closest_value_index`(value, array[, growing])	Return first index closes to value
`plot_target`(position, image, size[, vmin, vmax])
`cutout_subtract`(image, target, x, y)	Subtract cutout from image
`measure_fwhm`(image[, plot, printout])	Find the 2D FWHM of a background/continuum subtracted cutout image of a target.