Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
87
86%
Does it follow best practices?
Impact
87%
1.70xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Spectral unit equivalencies and QTable
Spectral equivalency for wavelength→frequency
0%
100%
Spectral equivalency for wavelength→wavenumber
0%
100%
Unit-attached quantities
0%
100%
Flux unit conversion using .to()
0%
100%
QTable used for unit-aware table
0%
0%
Sigma-clipped statistics
0%
100%
Array operations not loops
0%
100%
Output files produced
100%
100%
Correct frequency output in GHz
100%
100%
Stats file contains mean, median, std
100%
100%
Cosmological calculations and inverse redshift lookup
Planck18 cosmology used
100%
100%
z_at_value for inverse distance lookup
0%
100%
z_at_value for inverse time lookup
0%
100%
Units attached to input values
0%
100%
Angular diameter distance for physical size
100%
100%
Lookback time calculation
100%
100%
Comoving volume calculation
100%
100%
Absolute magnitude calculation
100%
100%
Results saved to JSON
100%
100%
Planck18 H0 consistent
100%
100%
Barycentric time correction and AltAz visibility
EarthLocation.of_site() used
0%
0%
AltAz requires obstime and location
100%
100%
UTC time scale specified
100%
100%
light_travel_time barycentric
100%
100%
Correction applied to .tdb
100%
100%
Array time processing
0%
0%
SkyCoord for pulsar coordinates
100%
100%
Altitude threshold filtering
100%
100%
Output files produced
100%
100%
BJD-TDB values in output
100%
100%
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Table of Contents
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