Does it support World Coordinate System (WCS) transformations?

Yes, it includes comprehensive guidance for mapping pixel coordinates to sky coordinates (and vice versa) using WCS headers and SIP distortions.

Can this skill help with telescope image analysis?

Yes, it provides specific patterns for FITS I/O, background subtraction, source detection, and aperture photometry using libraries like Astropy and Photutils.

How does it handle physical units?

The skill leverages the astropy.units module to ensure all calculations are dimensionally consistent, providing automatic conversions and spectral equivalencies for frequency, wavelength, and energy.

Is it useful for catalog cross-matching?

Absolutely. It provides efficient patterns for matching celestial coordinates across different catalogs and reference frames like ICRS, Galactic, and FK5.

What is the Astropy Fundamentals skill used for?

This skill is used to work with astronomical data formats, perform celestial coordinate transformations, handle physical units, and manage precise astronomical time scales within the Claude environment.

Astropy Fundamentals

Name: Astropy Fundamentals
Author: robertpelloni

byrobertpelloni

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데이터 과학 및 ML

Processes astronomical data using Astropy for coordinate transformations, FITS file I/O, physical units, and precise time handling.

Astropy Fundamentals equips Claude with the specialized knowledge required for modern astronomical computing and astrophysical research. This skill provides deep expertise in the foundational Python library for astronomy, enabling seamless handling of complex FITS data, precise celestial coordinate frame transformations, and dimensionally-correct physical quantities. It is an essential tool for researchers and developers building photometry pipelines, performing catalog cross-matching, or conducting high-precision time-series analysis, ensuring that astronomical calculations adhere to scientific best practices and rigorous unit standards.

주요 기능

01Expert FITS file I/O and multi-extension header manipulation

02Precise celestial coordinate transformations and catalog matching

033 GitHub stars

04Dimensionally-aware physical unit handling and spectral equivalencies

05Sub-nanosecond astronomical time scale and format management

06WCS mapping for pixel-to-sky coordinate transformations

사용 사례

01Building automated telescope image processing and photometry pipelines

02Cross-matching multi-wavelength celestial catalogs with frame transformations

03Calculating target observability and airmass constraints for observatory planning

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add robertpelloni/borg astropy-fundamentals

For use in Claude.ai and ChatGPT

Download Skill