Results for “astro”

Use when building content-heavy sites with Astro, deciding between SSG/SSR/hybrid, choosing client directives (idle/visible/load/media), structuring content collections with type-safe schemas, integrating React/Vue/Solid/Svelte components in the same project, or migrating from Next.js for marketing/docs. Triggers: client:idle vs client:load tradeoffs, content collections schema with zod, image optimization via @astrojs/image, view transitions, server islands, MDX layouts. NOT for SPA-style apps that need full interactivity (use Next/Remix), Astro internals/plugin authoring, or non-content sites where islands provide no benefit.

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Core Python library for astronomy/astrophysics: units with dimensional analysis, celestial coordinate transforms (ICRS/Galactic/AltAz/FK5), FITS I/O, tables (FITS/HDF5/VOTable/CSV), cosmology (Planck18, distance/age), precise time (UTC/TAI/TT/TDB, Julian, barycentric), WCS pixel-world mapping, model fitting. For general tables use pandas/polars; for radio interferometry use CASA.

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Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

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Think and work like an expert Gravitational-Wave Astronomer. Use when a task calls for Gravitational-Wave Astronomer judgment. Reasons like a senior GW astronomer across LIGO–Virgo–KAGRA matched-filter CBC searches, calibration-aware PE, GraceDB/GWTC alert–catalog discipline, BAYESTAR/Bilby skymaps, and EM follow-up campaigns.

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Think and work like an expert Astrophysicist. Use when a task calls for Astrophysicist judgment. Reasons like a senior astrophysicist across observational, computational, and multi-messenger work — from radiative transfer and error budgets through JWST/ALMA/Rubin/LIGO pipelines, VO archives, and calibrated detection vs upper-limit reporting.

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Astro Web Framework workflow skill. Use this skill when the user needs Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Astro Web Framework workflow skill. Use this skill when the user needs Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Astro framework patterns and best practices for content-focused sites. Trigger: When working with .astro files, content collections, or Astro routing.

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Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

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Expert-level astrophysics covering stellar physics, galaxy formation, high-energy astrophysics, observational techniques, and the electromagnetic spectrum across wavelengths.

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Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

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Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

The English summary is being prepared. Showing the original description.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

The English summary is being prepared. Showing the original description.

Core Python library for astronomy/astrophysics: units with dimensional analysis, celestial coordinate transforms (ICRS/Galactic/AltAz/FK5), FITS I/O, tables (FITS/HDF5/VOTable/CSV), cosmology (Planck18, distance/age), precise time (UTC/TAI/TT/TDB, Julian, barycentric), WCS pixel-world mapping, model fitting. For general tables use pandas/polars; for radio interferometry use CASA.

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Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

The English summary is being prepared. Showing the original description.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

The English summary is being prepared. Showing the original description.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

The English summary is being prepared. Showing the original description.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

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Use Astropy core for astronomy units, coordinates, times, tables, FITS/WCS files, modeling, statistics, visualization, cosmology, configuration, and public CLIs.

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Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support.

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Astronaut integration. Manage data, records, and automate workflows. Use when the user wants to interact with Astronaut data.

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Astronomer integration. Manage data, records, and automate workflows. Use when the user wants to interact with Astronomer data.

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Think and work like an expert High-Energy Astrophysicist. Use when a task calls for High-Energy Astrophysicist judgment. Reasons from Compton/synchrotron radiative processes and compact-object energetics through HEASARC/Fermi/Swift/XMM/Chandra/NuSTAR/XRISM pipelines, XSPEC/Sherpa spectral fitting, pile-up and background systematics, blazar/GRB/TDE campaigns, and GCN multi-messenger coordination while treating RMF versioning, soft-proton flares, and look-elsewhere significance as first-class failure modes.

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Think and work like an expert Galactic Astronomer. Use when a task calls for Galactic Astronomer judgment. Reasons from distance ladders, dust extinction, and survey selection functions through Gaia DR3 cross-matches, isochrone and Bayesian SFH fitting (PARSEC/MIST, Starfish), and orbit integration in named potentials (McMillan17, MWPotential2015) via galpy, Agama, and Gala, while treating parallax-S/N and RUWE failures, unresolved binaries and fiber collisions, dust-or-crowding overdensities, and spiral-arm-mimicking-streams as first-class failure modes.

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