T-PHOT version 2.0: improved algorithms for background subtraction, local convolution, kernel registration, and new options

TL;DR

T-PHOT v2.0 introduces advanced algorithms and new features like background estimation, local convolution, and source registration to enhance multiwavelength photometry accuracy in extragalactic studies.

Contribution

The paper presents significant updates to T-PHOT, including new algorithms and options that improve photometry accuracy and diagnostic capabilities.

Findings

Enhanced background subtraction accuracy

Improved source registration and convolution methods

More reliable photometry results with diagnostic tools

Abstract

We present the new release v2.0 of T-PHOT, a publicly available software package developed to perform PSF-matched, prior-based, multiwavelength deconfusion photometry of extragalactic fields. New features included in the code are presented and discussed: background estimation, fitting using position dependent kernels, flux prioring, diagnostical statistics on the residual image, exclusion of selected sources from the model and residual images, individual registration of fitted objects. These new options improve on the performance of the code, allowing for more accurate results and providing useful aids for diagnostics.