Can this skill handle crowded stellar fields?

Yes, the skill provides specific guidance and code templates for using PSF (Point Spread Function) fitting, which is the standard method for resolving and measuring overlapping sources.

Does Photutils support WCS coordinates?

Yes, the skill covers the use of SkyApertures, which leverage World Coordinate System (WCS) metadata to define aperture positions in RA/Dec rather than just pixels.

What is the Photutils Claude Code skill?

It is a specialized capability that enables Claude to assist with astronomical photometry by providing implementation patterns and best practices for the Photutils Python library.

Why is background subtraction emphasized in this skill?

Accurate photometry requires removing sky noise; the skill includes patterns for Background2D to handle complex, varying backgrounds across an image.

How do I verify the quality of the photometry results?

The skill provides patterns for generating residual images (the original image minus fitted models) to visually confirm that sources were correctly modeled and subtracted.

Photutils Astronomical Photometry

Name: Photutils Astronomical Photometry
Author: tondevrel

bytondevrel

•

Data Science & ML

Detects astronomical sources and performs high-precision photometry on digital images using the Astropy ecosystem.

Photutils is an Astropy-coordinated Python package that provides a modular, Pythonic interface for extracting quantitative data from astronomical images. It serves as a modern replacement for legacy tools like SExtractor or DAOPHOT, offering specialized capabilities for background estimation, source detection using algorithms like DAOFIND and IRAF, and advanced photometry techniques including aperture and PSF fitting. This skill is essential for researchers and developers working on astronomical image analysis, star/galaxy detection, and light measurement workflows requiring high precision, unit awareness, and WCS integration.

Key Features

01Robust 2D background estimation and subtraction for non-uniform sky levels

02Aperture photometry for circular, elliptical, and rectangular shapes

031 GitHub stars

04High-precision centroiding and isophotal analysis for galaxy morphology

05Advanced Point Spread Function (PSF) fitting for crowded stellar fields

06Automated source detection with DAOStarFinder and IRAFStarFinder algorithms

Use Cases

01Measuring the brightness of stars and galaxies in large astronomical datasets

02Performing PSF-fitting photometry to resolve overlapping sources in dense clusters

03Generating scientific-grade catalogs from raw CCD or CMOS sensor images

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tondevrel/scientific-agent-skills photutils

For use in Claude.ai and ChatGPT

Download Skill