Astronomy Cosmology
- 17 installs
- 869 repo stars
- Updated June 8, 2026
- beita6969/scienceclaw
astronomy-cosmology is a Claude skill that guides analysis of astronomical observations and cosmological models, from telescope data reduction to parameter estimation.
About
Guides astronomical and cosmological analysis, from telescope data reduction to physical-parameter derivation and cosmological calculations. A researcher uses it when working with stars, galaxies, exoplanets, dark matter, or large-scale structure and needs a consistent methodology plus the right archives. It standardizes coordinate systems, distance methods, and cosmological parameters in the output.
- Guides analysis of telescope observations and cosmological models
- Covers survey archives: Gaia, SDSS, 2MASS/WISE, Chandra, NED, SIMBAD/VizieR
- Includes a 7-step methodology and an 8-item quality checklist
Astronomy Cosmology by the numbers
- 17 all-time installs (skills.sh)
- Ranked #1,286 of 2,065 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
astronomy-cosmology capabilities & compatibility
- Capabilities
- astropy astronomy · bioinformatics · biostatistics
- Use cases
- research · data analysis
- Pricing
- Free
What astronomy-cosmology says it does
Analyzes astronomical observations and cosmological models including telescope data processing, celestial mechanics calculations, stellar evolution, galaxy classification, and cosmological parameter e
Fit observational data with physical models: stellar atmosphere models (ATLAS, PHOENIX), N-body simulations for dynamics, cosmological models (LCDM, wCDM). Use MCMC or nested sampling for parameter es
Note current tensions (H0 tension between early and late universe).
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| Installs | 17 |
|---|---|
| repo stars | ★ 869 |
| Last updated | June 8, 2026 |
| Repository | beita6969/scienceclaw ↗ |
What it does
Analyze astronomical observations and estimate cosmological parameters with a consistent reduction and modeling methodology.
Who is it for?
Astronomers and physicists analyzing telescope data, deriving distances/masses, or estimating cosmological parameters.
Skip if: Telescope control, real-time observation planning, or non-astronomy data analysis.
When should I use this skill?
The user discusses stars, galaxies, exoplanets, dark matter, or the universe's large-scale structure.
What you get
Derived physical quantities with stated coordinate systems, distance methods, and cosmological parameters plus standard plots.
- HR diagrams, light curves, spectra, sky maps
- Distances with method and uncertainty
- Derived physical quantities in astronomical units
By the numbers
- 7-step methodology
- 8-item quality checklist
Files
When to Trigger
Activate this skill when the user mentions:
- Telescope observations, photometry, spectroscopy, astrometry
- Celestial mechanics, orbital calculations, Kepler's laws
- Stellar evolution, HR diagram, spectral classification
- Galaxy morphology, redshift, distance ladder
- Cosmological models, dark matter, dark energy, CMB
- Exoplanet detection, transit method, radial velocity
- Gravitational waves, black holes, neutron stars
Step-by-Step Methodology
1. Define the astronomical question - Specify the object type (star, galaxy, nebula, exoplanet), observational band (optical, radio, X-ray, IR), and physical quantity of interest (distance, mass, luminosity, composition). 2. Data acquisition - Identify relevant surveys and archives: Gaia for astrometry, SDSS for optical spectra/photometry, 2MASS/WISE for IR, Chandra for X-ray. Download data using VO (Virtual Observatory) tools or API queries. 3. Calibration and reduction - Apply bias subtraction, flat-fielding, wavelength/flux calibration. For photometry: aperture or PSF fitting. For spectroscopy: sky subtraction, continuum normalization. Report signal-to-noise ratios. 4. Physical parameter derivation - Compute distances (parallax, standard candles, redshift-distance relation using appropriate cosmology). Derive masses (Kepler's third law, virial theorem, mass-luminosity relation). Determine compositions from spectral line analysis. 5. Modeling - Fit observational data with physical models: stellar atmosphere models (ATLAS, PHOENIX), N-body simulations for dynamics, cosmological models (LCDM, wCDM). Use MCMC or nested sampling for parameter estimation. 6. Cosmological calculations - Use standard cosmological parameters (H0, Omega_m, Omega_Lambda). Compute comoving distances, lookback times, luminosity distances. Note current tensions (H0 tension between early and late universe). 7. Visualization - Produce standard astronomical plots: HR diagrams, light curves, spectra, sky maps in appropriate coordinate systems (equatorial, galactic). Use logarithmic scales where appropriate.
Key Databases and Tools
- NASA/IPAC Extragalactic Database (NED) - Extragalactic object data
- SIMBAD / VizieR - Stellar object data and catalog queries
- Gaia Archive - Astrometric and photometric data
- SDSS SkyServer - Optical survey data
- NASA Exoplanet Archive - Confirmed exoplanet parameters
- Astropy - Python astronomy library
- MAST (STScI) - Hubble, JWST, and other mission archives
Output Format
- Coordinates in standard systems: RA/Dec (J2000) or Galactic (l, b).
- Distances with method and uncertainty (parallax, photometric, spectroscopic).
- Physical quantities in CGS or SI with astronomical conventions (solar units, parsecs, magnitudes).
- Spectra with wavelength/frequency axis, flux units, and line identifications.
Quality Checklist
- [ ] Coordinate system and epoch explicitly stated
- [ ] Distance method and its systematic uncertainties discussed
- [ ] Cosmological parameters (H0, Omega_m) specified when used
- [ ] Photometric system (Vega, AB) identified for magnitudes
- [ ] Extinction/reddening corrections applied where relevant
- [ ] Instrument and survey limitations acknowledged
- [ ] Error propagation through derived quantities
- [ ] Known systematic effects (selection bias, Malmquist bias) addressed
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Which archives does it use?
It references Gaia, SDSS, 2MASS/WISE, Chandra, NED, SIMBAD/VizieR, MAST, and the NASA Exoplanet Archive.
When should I not use it?
It is not for telescope control, real-time observation planning, image reduction pipelines, or N-body simulations.