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astropy

Transform celestial coordinates and read FITS tables in Python.

16|Updated Dec 28, 2025
Search Tags:#data-analysis#time#coordinates#cosmology#astropy#fits#wcs
One-click install
npx skills add https://github.com/Hongyu-yu/matsci-ai-skills --skill astropy-hongyu-yu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: astropy
Source: https://github.com/Hongyu-yu/matsci-ai-skills/tree/main/skills/astropy
Command: npx skills add https://github.com/Hongyu-yu/matsci-ai-skills --skill astropy-hongyu-yu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Astropy provides a unified toolkit to manipulate astronomical data in Python, handling coordinates, units, FITS files, time scales, and cosmology.

Core Features & Use Cases

  • Coordinate transformations: Transform celestial coordinates between reference frames (ICRS, galactic, FK5, AltAz, etc.)
  • FITS I/O and tables: Read/write FITS images and catalogs, manipulate headers, and work with tables
  • Time, cosmology, and distances: Compute cosmological distances, lookback times, and manage multiple time scales, including WCS handling

Quick Start

Demonstrate a small Python workflow that converts sky coordinates with astropy.coordinates and reads a FITS table with astropy.io.fits.

Frequently Asked Questions about astropy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transform celestial coordinates between ICRS and galactic reference frames in Python?▼

Celestial coordinate transformations between reference frames like ICRS, galactic, FK5, and AltAz are handled through modular components that convert sky coordinates with well-defined interfaces for reproducible workflows.

What is the best way to read and manipulate FITS catalogs and headers?▼

Reading and manipulating FITS catalogs is supported through unified input/output modules that read/write FITS images, manipulate headers, and process tabular data for astronomical analysis.

How do I compute cosmological distances and lookback times for my dataset?▼

Cosmological distances and lookback times are computed using dedicated cosmology modules that apply standard models to calculate distance measures and temporal offsets across cosmic time scales.

Can I manage multiple time scales and WCS handling within a single Python workflow?▼

Time scale management and WCS handling are supported within a single Python workflow, enabling precise time conversions and world coordinate system transformations for astronomical data.

Does astropy work for reproducible workflows requiring modular components with comprehensive references?▼

Astropy is designed for reproducible workflows, offering modular components with well-defined interfaces and comprehensive references to ensure consistent astronomical data processing results.

Why do I need a unified toolkit for astronomical data instead of separate Python libraries?▼

A unified toolkit for astronomical data is needed because it integrates coordinates, units, FITS files, time scales, and cosmology into a single cohesive framework, preventing interface inconsistencies across separate libraries.

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