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 47 articles )

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  1. Asher D Pembroke; Darren DeZeeuw; Lutz Rastaetter; Rebecca Ringuette; Oliver Gerland; Dhruv Patel; Michael Contreras: Kamodo: A functional API for space weather models and data (2022) not zbMATH
  2. Houman Mirzaalian Dastjerdi, Reza Gholami Mahmoodabadi, Matthias Bär, Vahid Sandoghdar, Harald Köstler: PiSCAT: A Python Package for Interferometric Scattering Microscopy (2022) not zbMATH
  3. Vishwas Rao; Charlotte L. Haley; Mihai Anitescu: LaplaceInterpolation.jl: A Julia package for fast interpolation on a grid (2022) not zbMATH
  4. Adam Amara, Lucia F. de la Bella, Simon Birrer, Sarah Bridle, Juan Pablo Cordero, Ginevra Favole, Ian Harrison, Ian W.Harry, William G. Hartley, Coleman Krawczyk, Andrew Lundgren, Brian Nord, Laura K. Nuttall, Richard P. Rollins, Philipp Sudek, Sut-Ieng Tam, Nicolas Tessore, Arthur E. Tolley, Keiichi Umetsu, Andrew R. Williamson, Laura Wolz: SkyPy: A package for modelling the Universe (2021) arXiv
  5. Alfredo Mejia-Narvaez, Gustavo Bruzual, Sebastian F. Sanchez, Leticia Carigi, Jorge Barrera-Ballesteros, Mabel Valerdi, Renbin Yan, Niv Drory: CoSHA: Code for Stellar properties Heuristic Assignment - for the MaStar stellar library (2021) arXiv
  6. Andrea Zonca, Ben Thorne, Nicoletta Krachmalnicoff, Julian Borrill: The Python Sky Model 3 software (2021) arXiv
  7. Apostolos Spanakis-Misirlis, Cameron L. Van Eck, E.P. Boven: Virgo: A Versatile Spectrometer for Radio Astronomy (2021) not zbMATH
  8. Birrer et al.: lenstronomy II: A gravitational lensing software ecosystem (2021) not zbMATH
  9. Carter Lee Rhea, Julie Hlavacek-Larrondo, Laurie Rousseau-Nepton, Benjamin Vigneron, Louis-Simon Guité: LUCI: A Python package for SITELLE spectral analysis (2021) arXiv
  10. Chengyuan Xu, Curtis McCully, Boning Dong, D. Andrew Howell, Pradeep Sen: Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit (2021) arXiv
  11. Christopher M J Osborne, Ivan Milić: The Lightweaver Framework for NLTE Radiative Transfer in Python (2021) arXiv
  12. Claire L. Davies: SEDBYS: A python-based SED Builder for Young Stars (2021) not zbMATH
  13. Johnny P. Greco, Shany Danieli: ArtPop: A Stellar Population and Image Simulation Python Package (2021) arXiv
  14. M. Aguena, C. Avestruz, C. Combet, S. Fu, R. Herbonnet, A. I. Malz, M. Penna-Lima, M. Ricci, S. D. P. Vitenti, L. Baumont, H. Fan, M. Fong, M. Ho, M. Kirby, C. Payerne, D. Boutigny, B. Lee, B. Liu, T. McClintock, H. Miyatake, C. Sifón, A. von der Linden, H. Wu, M. Yoon: CLMM: a LSST-DESC Cluster weak Lensing Mass Modeling library for cosmology (2021) arXiv
  15. Manuel Meyer, James Davies, Julian Kuhlmann: gammaALPs: An open-source python package for computing photon-axion-like-particle oscillations in astrophysical environments (2021) arXiv
  16. Martin-Lagarde Marine; Cossou Christophe; Gastaud René: Exonoodle: Synthetic time-series spectra generator for transiting exoplanets (2021) not zbMATH
  17. Nadolny, Tobias; Durrer, Ruth; Kunz, Martin; Padmanabhan, Hamsa: A new way to test the cosmological principle: measuring our peculiar velocity and the large-scale anisotropy independently (2021)
  18. Nicola, Andrina; García-García, Carlos; Alonso, David; Dunkley, Jo; Ferreira, Pedro G.; Slosar, Anže; Spergel, David N.: Cosmic shear power spectra in practice (2021)
  19. Nightingale, J. W., Hayes, R., Kelly, A., Amvrosiadis, A., Etherington, A., He, Q., Li, N., Cao, X., Frawley, J., Cole, S., Enia, A., Frenk, C., Harvey, D., Li, R., Massey, R., Negrello, M., Robertson, A: PyAutoLens: Open-Source Strong Gravitational Lensing (2021) not zbMATH
  20. 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

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