26건 · 관련도순
Implement and debug astronomical data analysis with Astropy in Python. Work with physical units, celestial coordinates, observation files, tables, precise time conversions, and cosmological models to prepare data and calculate astronomical quantities.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Astropy workflow skill. Use this skill when the user needs Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use Python to analyze astronomical data, convert celestial coordinates, units, and times, and read or write FITS astronomy files. It also guides catalog matching and calculations of cosmic distances and ages using cosmological models.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Astropy workflow skill. Use this skill when the user needs Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use Astropy core for astronomy units, coordinates, times, tables, FITS/WCS files, modeling, statistics, visualization, cosmology, configuration, and public CLIs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Box Least Squares (BLS) periodogram for detecting transiting exoplanets and eclipsing binaries. Use when searching for periodic box-shaped dips in light curves. Alternative to Transit Least Squares, available in astropy.timeseries. Based on Kovács et al. (2002).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Astronomical computations, coordinate transforms, and celestial data analysis
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Working with FITS astronomical data — headers, WCS, image calibration, and stacking with astropy.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.