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 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. 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
  2. Kieran Leschinski; Eric Gendron: AnisoCADO: a python package for analytically generating adaptive optics point spread functions for the Extremely Large Telescope (2020) arXiv
  3. Stephan Stock; Jonas Kemmer: AliasFinder: A Python script to search for the true planetary frequency within radial velocity data (2020) not zbMATH
  4. Tobias Stål, Anya M. Reading: A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing (2020) not zbMATH
  5. 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
  6. Danny C. Price, J. Emilio Enriquez, Yuhong Chen, Mark Siebert: Blimpy: Breakthrough Listen I/O Methods for Python (2019) not zbMATH
  7. 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
  8. Jeffrey S. Hazboun, Joseph D. Romano, Tristan L. Smith: Hasasia: A Python package for Pulsar Timing Array Sensitivity Curves (2019) not zbMATH
  9. Michael Hippke, Trevor J. David, Gijs D. Mulders, René Heller: Wotan: Comprehensive time-series de-trending in Python (2019) arXiv
  10. 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
  11. Catherine Zucker; Hope How-Huan Chen: RadFil: a Python Package for Building and Fitting Radial Profiles for Interstellar Filaments (2018) arXiv
  12. 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
  13. Tomás Alonso-Albi: JPARSEC: a Java package for astronomy with twelve years of development and use (2018) arXiv
  14. Guillochon, J.; Nicholl, M.; Villar, VA; Mockler, B.; Narayan, G.; Mandel, KS; Berger, E.; Williams, PKG: MOSFiT: Modular Open-Source Fitter for Transients (2017) arXiv
  15. Matthew Wood, Regina Caputo, Eric Charles, Mattia Di Mauro, Jeffrey Magill, Jeremy Perkins for the Fermi-LAT Collaboration: Fermipy: An open-source Python package for analysis of Fermi-LAT Data (2017) arXiv