Astropy

Astropy: A community Python package for astronomy. We present the first public version (v0.2) of the open-source and community-developed Python package, Astropy. This package provides core astronomy-related functionality to the community, including support for domain-specific file formats such as flexible image transport system (FITS) files, Virtual Observatory (VO) tables, and common ASCII table formats, unit and physical quantity conversions, physical constants specific to astronomy, celestial coordinate and time transformations, world coordinate system (WCS) support, generalized containers for representing gridded as well as tabular data, and a framework for cosmological transformations and conversions. Significant functionality is under activedevelopment, such as a model fitting framework, VO client and server tools, and aperture and point spread function (PSF) photometry tools. The core development team is actively making additions and enhancements to the current code base, and we encourage anyone interested to participate in the development of future Astropy versions.


References in zbMATH (referenced in 24 articles )

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  1. Martin-Lagarde Marine; Cossou Christophe; Gastaud René: Exonoodle: Synthetic time-series spectra generator for transiting exoplanets (2021) not zbMATH
  2. P. Joseph, C. S. Stalin, S. N. Tandon, S. K. Ghosh: Curvit: An open-source Python package to generate light curves from UVIT data (2021) arXiv
  3. Robert Morgan; Brian Nord; Simon Birrer; Joshua Yao-Yu Lin; Jason Poh: deeplenstronomy: A dataset simulation package for strong gravitational lensing (2021) not zbMATH
  4. Ashkbiz Danehkar: AtomNeb Python Package, an addendum to AtomNeb: IDL Library for Atomic Data of Ionized Nebulae (2020) not zbMATH
  5. Iva Laginja; Hannah R. Wakeford: ExoTiC-ISM: A Python package for marginalised exoplanet transit parameters across a grid of systematic instrument models (2020) not zbMATH
  6. James R. Paynter: PyGRB: A pure Python gamma-ray burst analysis package (2020) not zbMATH
  7. Kieran Leschinski; Eric Gendron: AnisoCADO: a python package for analytically generating adaptive optics point spread functions for the Extremely Large Telescope (2020) arXiv
  8. Kshitij Aggarwal; Devansh Agarwal; Joseph W Kania; William Fiore; Reshma Anna Thomas; Scott M. Ransom; Paul B. Demorest; Robert S. Wharton; Sarah Burke-Spolaor; Duncan R. Lorimer; Maura A. Mclaughlin; Nathaniel Garver-Daniels: Your: Your Unified Reader (2020) not zbMATH
  9. Martin Nielsen, Guy Davies, Oliver Hall, et al.: PBjam: A Python package for automating asteroseismology of solar-like oscillators (2020) arXiv
  10. Stephan Stock; Jonas Kemmer: AliasFinder: A Python script to search for the true planetary frequency within radial velocity data (2020) not zbMATH
  11. Tobias Stål, Anya M. Reading: A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing (2020) not zbMATH
  12. Will T. Barnes; Mark C. M. Cheung; Monica G. Bobra; Paul F. Boerner; Georgios Chintzoglou; Drew Leonard; Stuart J. Mumford; Nicholas Padmanabhan; Albert Y. Shih; Nina Shirman; David Stansby; Paul J. Wright: aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA (2020) not zbMATH
  13. Adam E. Lanman; Bryna J. Hazelton; Daniel C. Jacobs; Matthew J. Kolopanis; Jonathan C. Pober; James E. Aguirre; Nithyanandan Thyagarajan: pyuvsim: A comprehensive simulation package for radio interferometers in python (2019) not zbMATH
  14. Danny C. Price, J. Emilio Enriquez, Yuhong Chen, Mark Siebert: Blimpy: Breakthrough Listen I/O Methods for Python (2019) not zbMATH
  15. D. Huppenkothen, M. Bachetti, A. L. Stevens, S. Migliari, P. Balm, O. Hammad, U. M. Khan, H. Mishra, H. Rashid, S. Sharma, R. V. Blanco, E. M. Ribeiro: Stingray: A Modern Python Library For Spectral Timing (2019) arXiv
  16. Jeffrey S. Hazboun, Joseph D. Romano, Tristan L. Smith: Hasasia: A Python package for Pulsar Timing Array Sensitivity Curves (2019) not zbMATH
  17. Michael Hippke, Trevor J. David, Gijs D. Mulders, René Heller: Wotan: Comprehensive time-series de-trending in Python (2019) arXiv
  18. M. J. Townson, O. J. D. Farley, G. Orban de Xivry, J. Osborn, A. P. Reeves: AOtools - a Python package for adaptive optics modelling and analysis (2019) arXiv
  19. Catherine Zucker; Hope How-Huan Chen: RadFil: a Python Package for Building and Fitting Radial Profiles for Interstellar Filaments (2018) arXiv
  20. Nathan J. Goldbaum; John A. ZuHone; Matthew J. Turk; Kacper Kowalik; Anna L. Rosen: unyt: Handle, manipulate, and convert data with units in Python (2018) not zbMATH

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