Pith. sign in

REVIEW 1 cited by

PetroFit: A Python Package for Computing Petrosian Radii and Fitting Galaxy Light Profiles

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2202.13493 v2 pith:FTBH5UIK submitted 2022-02-28 astro-ph.IM astro-ph.GA

PetroFit: A Python Package for Computing Petrosian Radii and Fitting Galaxy Light Profiles

Robel Geda , Steven Crawford , Lucas R. Hunt , Matthew A. Bershady , Erik J. Tollerud , Solohery M. Randriamampandry This is my paper
classification astro-ph.IM astro-ph.GA
keywords petrofitgalaxypetrosianprofilesfittingmodelspackageradii
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

PetroFit is an open-source Python package, based on Astropy and Photutils, that can calculate Petrosian profiles and fit galaxy images. It offers end-to-end tools for making accurate photometric measurements, estimating morphological properties, and fitting 2D models to galaxy images. Petrosian metric radii can be used for model parameter estimation and aperture photometry to provide accurate total fluxes. Correction tools are provided for improving Petrosian radii estimates affected by galaxy morphology. PetroFit also provides tools for sampling Astropy-based models (including custom profiles and multi-component models) onto image grids and enables PSF convolution to account for the effects of seeing. These capabilities provide a robust means of modeling and fitting galaxy light profiles. We have made the PetroFit package publicly available on GitHub (PetroFit/petrofit) and PyPi (pip install petrofit).

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Morphologies of SAGAbg low-mass galaxies in Legacy Survey multi-band imaging: dependence on stellar masses, star-formation rates and low-redshift evolution

    astro-ph.GA 2026-07 conditional novelty 4.0

    Low-mass star-forming galaxies are disk-dominated; their light concentration increases with stellar mass and decreases with sSFR, with bulges emerging near log(M*/M_sun) ~ 9.