astropy

Process astronomical data with coordinate, unit, and FITS support.

Updated Jan 10, 2026
One-click install
npx skills add https://github.com/robinbarvaag/poynt --skill astropy-robinbarvaag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: astropy
Source: https://github.com/robinbarvaag/poynt/tree/main/.github/skills/astropy
Command: npx skills add https://github.com/robinbarvaag/poynt --skill astropy-robinbarvaag

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies complex astronomical data analysis and calculations, making advanced astrophysics accessible through Python.

Core Features & Use Cases

  • Coordinate Transformations: Effortlessly convert between celestial coordinate systems (ICRS, Galactic, etc.).
  • Unit Conversions: Handle physical quantities with units, ensuring dimensional consistency.
  • Cosmological Calculations: Perform distance, age, and lookback time calculations using standard models.
  • FITS File Handling: Read, write, and manipulate astronomical image and table data.
  • Use Case: Analyze telescope data by reading FITS files, transforming celestial coordinates, and performing cosmological calculations to understand object distances and properties.

Quick Start

Use the astropy skill to convert the celestial coordinates '10h30m0s +40d0m0s' from ICRS to Galactic frame.

Frequently Asked Questions about astropy

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

FAQPage Schema
How do I convert celestial coordinates from ICRS to the Galactic frame in Python?

You can convert celestial coordinates from ICRS to the Galactic frame by parsing the right ascension and declination values into a coordinate object and applying the built-in Galactic transformation to output the converted coordinates.

Can I use Python to read and manipulate FITS files for astronomical data analysis?

Yes, you can use Python to read and manipulate FITS files for astronomical data analysis. The library handles reading, writing, and modifying astronomical image and table data stored in the FITS format directly within your Python scripts.

How do I perform cosmological distance calculations like lookback time and age?

You can perform cosmological distance calculations like lookback time and age by utilizing standard cosmological models in Python to compute distances and ages based on specific cosmological parameters and redshift values.

What is the best way to handle physical unit conversions in astrophysics calculations?

The best way to handle physical unit conversions in astrophysics calculations is to use a Python library that supports physical quantities with units, ensuring dimensional consistency automatically during operations and preventing calculation errors.

Do I need a specific Python environment to process world coordinate systems and time scales?

You do not need a highly specific Python environment to process world coordinate systems and time scales, as the library operates with standard Python dependencies to facilitate time scale conversions and WCS transformations.

How does Python handle astronomical coordinate transformations for telescope data analysis?

Python handles astronomical coordinate transformations for telescope data analysis by providing functions to effortlessly convert between various celestial coordinate systems, enabling you to map raw telescope observations to standardized astronomical frames.