liger_iris_sim.sources.convolve

Functions

convolve_point_source(x, y, flux, psf, image_out)

Convolve a point source at [y, x] with a PSF.

convolve_spectrum(wave, spectrum, resolution)

Convolve a spectrum with a Gaussian line spread function (LSF) at an average resolution over the bandpass.
convolve_point_source(x: float, y: float, flux: ndarray, psf: ndarray, image_out: ndarray, fix_psf_phase: bool = True) → ndarray[source]

Convolve a point source at [y, x] with a PSF.

Parameters:

  • x (float) – The x-coordinate of the point source - second axis.

  • y (float) – The y-coordinate of the point source - first axis.

  • flux (np.ndarray) – The flux of the point source in any units.

  • psf (np.ndarray) – The PSF to convolve with.

  • image_out (np.ndarray) – The output image array to write the result into.

  • fix_psf_phase (bool) – If True, the PSF is shifted by the subpixel offset of the source.

Returns:

image_out (np.ndarray) – An image with the convolved point source in the same units as flux.

convolve_spectrum(wave: ndarray, spectrum: ndarray, resolution: float, n_res: float = 4) → ndarray[source]

Convolve a spectrum with a Gaussian line spread function (LSF) at an average resolution over the bandpass.

Parameters:

  • wave (np.ndarray) – The wavelength grid. Must be uniformly sampled.

  • spectrum (np.ndarray) – The spectrum grid.

  • resolution (float) – The desired resolution, R = lambda / fwhm.

  • n_res (float, optional) – The number of resolution elements (fwhm) to include in the LSF on each side. Defaults to 4.

Returns:

spectrum_conv (np.ndarray) – The convolved spectrum, sampled on the same wavelength grid as the input.