healpix_resample.BilinearResampler#

class healpix_resample.BilinearResampler(*args, **kwargs)[source]#
__init__(*args, **kwargs)[source]#

Pre-compute sparse operators.

Parameters:

  • lon_deg, lat_deg – unstructured sample coordinates in degrees, shape (N,)

  • Npt – number of nearest HEALPix cells used per sample

  • level – HEALPix level, nside = 2**level

  • sigma_m – Gaussian length scale (meters). If None, uses the HEALPix pixel scale sigma = sqrt(4*pi/(12*4**level))*R.

  • threshold – keep only HEALPix cells whose global weight sum >= threshold

  • nest – HEALPix indexing scheme

  • dtype/device – torch dtype/device for all matrices and computations

Methods

__init__(*args, **kwargs)

Pre-compute sparse operators.

comp_matrix()

get_cell_ids()

invert(hval)

Project HEALPix field back to the sample locations.

resample(val, *[, lam, max_iter, tol, x0, ...])

Estimate the HEALPix field from unstructured samples.