Perform unit-aware astronomical data analysis in Python with Astropy.
npx skills add https://github.com/mkurman/tamux --skill astropy-mkurman
Please help me install this Agent Skill. Skill: astropy Source: https://github.com/mkurman/tamux/tree/main/skills/scientific-skills/astropy Command: npx skills add https://github.com/mkurman/tamux --skill astropy-mkurman
Astropy provides a comprehensive, modular toolkit for robust, unit-aware astronomical data analysis in Python, unifying scientific workflows across data input, processing, and interpretation.
Units and Quantities: attach physical units to data and perform conversions safely.
Coordinates, Time, and WCS: transform celestial frames, handle different time scales, and convert pixel to world coordinates.
FITS I/O, Tables, and Cosmology: read/write FITS files, manipulate tables, and compute cosmological distances.
End-to-end workflows: model fitting, arithmetic with uncertainties, and data visualization integration.
Use cases include converting catalogs from FITS to CSV, cross-matching sky surveys, and computing lookback times and luminosity distances.
Import necessary Astropy modules and perform a simple coordinate transformation and distance calculation.
High-intent search queries and answers about installing and using this skill.
Astropy provides dedicated FITS I/O and table manipulation modules to read FITS files into structured tables and export them as CSV outputs for astronomical data analysis workflows.
Celestial coordinate transformations and time scale handling are executed through dedicated modules that convert between astronomical frames and manage time scale conversions natively. Astropy provides array-friendly operations for these exact coordinate and time transformations.
Computing cosmological distances and lookback times is supported through built-in cosmology modules. Astropy calculates luminosity distances and lookback times natively for astronomical datasets using unit-aware operations.
Unit-aware arithmetic and model fitting are supported for reproducible scientific workflows. Astropy attaches physical units to data for safe conversions and provides extensible interfaces for robust model fitting across astronomical datasets.
Cross-matching sky surveys and converting pixel to world coordinates requires WCS transformations and coordinate frame handling. Astropy unifies these operations with well-documented modules supporting end-to-end astronomical data workflows.
No external dependencies are required to perform astronomical data analysis. Astropy operates as a standalone modular toolkit with no listed dependencies, providing comprehensive coordinate, time, FITS, and cosmology functionalities natively.
ARCASSystemsAutomate weekly summarization of observation logs from JSONL files.
robinbarvaagProcess astronomical data with coordinate, unit, and FITS support.
Hung-3008Analyze astronomical data with coordinates, units, FITS I/O, and WCS.
Lord1EgyptTransform celestial coordinates and calculate cosmological distances with Astropy.
