In this page we provide our sincere acknowledgement to all the people behind the following software and data that have been used in the production of our archive. There are also some libraries and software that we have not listed here due to security reasons.
Please, if you consider that your project, code, data or any product from your work should be acknowledged in this page, please, don't hesitate to contact us.
|Linux Operating System:|
|Database management systems:|
|Python 3||Released under the Python Software Foundation License v2.|
|Cython||Stefan Behnel, Robert Bradshaw, Craig Citro, Lisandro Dalcin, Dag Sverre Seljebotn and Kurt Smith (2011). Cython: The Best of Both Worlds, Computing in Science and Engineering, 13, 31-39, doi:10.1109/MCSE.2010.118 [PDF]
Released under the Apache License v2.
|Dbutils||Released under the MIT license.|
|Deepdish||Released under the BSD license. Copyright 2014, Amit Group|
|H5py||Released under the BSD license. Copyright 2008-2013 Andrew Collette and contributors.|
|IPython||Fernando Pérez, Brian E. Granger (2007). IPython: A System for Interactive Scientific Computing, Computing in Science and Engineering, vol. 9, no. 3, pp. 21-29, doi:10.1109/MCSE.2007.53 [PDF]
Released under the BSD license. Copyright 2011, IPython Development Team.
|Joblib||Released under the BSD v3 license. Copyright 2008-2016, The joblib developers.|
|Matplotlib||Hunter, J. D. (2007). Matplotlib is a 2D graphics package for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems, vol. 9, no. 3, pp. 90-95, doi:10.1109/MCSE.2007.55
Released under the Python Software Foundation License.
|Mpmath||Released under the BSD license. Copyright 2005-2017 Fredrik Johansson and mpmath contributors.|
|Mysql-python||Released under the GPL v2 license.|
|Numpy||Travis E, Oliphant (2006). A guide to NumPy, USA: Trelgol Publishing. [PDF]
Released under the BSD license. Copyright 2005, NumPy Developers.
|Pandas||Wes McKinney (2010). Data Structures for Statistical Computing in Python, Proceedings of the 9th Python in Science Conference, 51-56 [PDF]
Released under the BSD license. Copyright 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team.
|Pillow||Released under the PIL Software License. Copyright 2010-2018 by Alex Clark and contributors.|
|Psycopg2||Released under the LGPL license.|
|Pyramid||Released under the Repoze Public License. Copyright 2008-2011 Agendaless Consulting and Contributors.|
|Pyramid_chameleon||Released under the Repoze Public License. Copyright 2013 Pylons Project and Contributors.|
|Pyyaml||Released under the MIT license. Copyright 2006-2016 Kirill Simonov. Copyright 2017-2018 Ingy döt Net.|
|Requests||Released under the Apache license v2. Copyright 2018 Kenneth Reitz.|
|Scikit-image||Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu and the scikit-image contributors (2014). scikit-image: Image processing in Python, PeerJ 2:e453. doi: 10.7717/peerj.453 [PDF]
Released under the BSD license. Copyright 2011, the scikit-image team.
|Scikit-learn||Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay (2011). Scikit-learn: Machine Learning in Python, Journal of Machine Learning Research, 12, 2825-2830. [PDF]
Released under the BSD license. Copyright 2007–2018 The scikit-learn developers.
|Scipy||Jones E, Oliphant E, Peterson P, et al. (2011). SciPy: Open Source Scientific Tools for Python.
Released under the BSD license. Copyright 2001, 2002 Enthought, Inc. Copyright 2003-2013 SciPy Developers.
|Seaborn||Released under the BSD license. Copyright 2012-2018, Michael L. Waskom.|
|Setuptools||Released under the MIT license. Copyright 2016 Jason R Coombs.|
|Shapely||Released under the BSD license. Copyright 2007, Sean C. Gillies.|
|Simplejson||Released under the dual MIT license and Academic Free License v. 2.1. Copyright 2006 Bob Ippolito.|
|Sqlalchemy||Released under the MIT license. Copyright 2005-2018 Michael Bayer and contributors.|
|Xhtml2pdf||Released under the Apache Software license v2. Copyright 2010 Dirk Holtwick.|
|Sun Grid Engine|
|Bootstrap||Released under the MIT license. Copyright 2018 Twitter.|
|Bootstrap-dialog||Released under the MIT license.|
|Bootstrap-slider||Released under the MIT license. Copyright 2017 Kyle Kemp, Rohit Kalkur, and contributors.|
|Bootstrap-switch||Released under the MIT license. Copyright 2012-2013 Mattia Larentis.|
|Bootstrap-validator||Released under the MIT license. Copyright 2017 Cina Saffary.|
|Datatables||Released under MIT license. Copyright 2008-2018 SpryMedia Ltd.|
|D3 Data-Driven Documents||Released under BSD license. Copyright 2017 Mike Bostock.|
|Fancybox||Released under Creative Commons Attribution-NonCommercial 3.0 license. Copyright 2017 fancyapps.com.|
|Html5shiv||Released under dual MIT and GPL v2 licenses. 2014 Alexander Farkas.|
|JQuery||Released under MIT license. Copyright 2018 The jQuery Foundation.|
|JSZip||Released under dual MIT and GPL v3 licenses. 2009-2016 Stuart Knightley, David Duponchel, Franz Buchinger, António Afonso.|
|Multiple-select||Released under MIT license.|
|Respond||Released under MIT license. Copyright 2011 Scott Jehl, scottjehl.com.|
|Svg-pan-zoom||Released under BSD license. Copyright 2009-2010 Andrea Leofreddi.|
|APLpy||Robitaille, Thomas; Bressert, Eli (2012). APLpy: Astronomical Plotting Library in Python, Astrophysics Source Code Library, record ascl:1208.017
Released under MIT license. Copyright 2010-2013 Thomas P. Robitaille and Eli Bressert.
|Astroquery||Released under BSD license. Copyright 2011-2017 Astroquery Developers.|
|Astropy||Price-Whelan, A. M. and Shupe, D. L. (2018). The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package. Astronomical Journal, 156 (3). Art. No. 123. ISSN 1538-3881. [PDF]
Released under the BSD license. Copyright 2011-2017, Astropy Developers.
|Extinction||Barbary, Kyle. (2016, December 14). extinction v0.3.0. Zenodo. doi: 10.5281/zenodo.804967
Released under MIT license. Copyright 2016 Kyle Barbary and contributors.
|Healpy (HEALPix)|| K.M. Gorski et al. (2005) HEALPix: A Framework for High-Resolution Discretization and Fast Analysis of Data Distributed on the Sphere, The Astrophysical Journal, Volume 622, Issue 2, pp. 759-771. doi: 10.1086/427976 [PDF]
Released under GPL v2 license.
|Photutils||Larry Bradley, Brigitta Sipocz, Thomas Robitaille, Zé Vinícius, Erik Tollerud, Christoph Deil, … Benjamin Alan Weaver. (2018). astropy/photutils, Zenodo. doi: 10.5281/zenodo.1340699
Released under BSD license. Copyright 2011-2018, Photutils developers.
|PyAVM||Released under MIT license. Copyright 2011-2013 Thomas P. Robitaille.|
|PyEphem||Released under LGPL v3 license.|
|Pymangle||Released under GPL license.|
|PyFITS||Released under BSD license. Copyright 2014 Association of Universities for Research in Astronomy (AURA)|
|Pymoc||Bell, Graham S. (2017) PyMOC: Multi-Order Coverage map module for Python
Released under GPL v3 license.
|Pysynphot||Lim, P. L., Diaz, R. I., & Laidler (2015) PySynphot User’s Guide (Baltimore, MD: STScI)
Released under BSD license. Copyright 2018, Space Telescope Science Institute, AURA.
|Sfdmap||Released under MIT license. Copyright 2016 Kyle Barbary|
|SCAMP||Bertin (2006) Automatic Astrometric and Photometric Calibration with SCAMP, ASP Conference Series, Vol. 351, 2006, C. Gabriel, C. Arviset, D. Ponz, and E. Solano, eds., p. 112. [PDF]
"This research has made use of the VizieR catalogue access tool, CDS, Strasbourg, France"
Released under GPL v3 license. Copyright 2010,2011 IAP - CNRS / Universite P.&M.Curie
|SExtractor||Bertin, E. & Arnouts, S. (1996) SExtractor: Software for source extraction, Astronomy & Astrophysics Supplement 317, 393. [PDF]
Released under GPL v3 license. Copyright 2007 IAP - CNRS / Universite P.&M.Curie
|PSFEx||Bertin (2011) Automated Morphometry with SExtractor and PSFEx, ASP Conference Series, Vol. 442, 2011, Ian N. Evans, Alberto Accomazzi, Douglas J. Mink, and Arnold H. Rots, eds., p. 435 [PDF]
Released under GPL v3 license. Copyright 2010 CNRS / Universite P.&M.Curie
|SWarp||Bertin et al. (2002) The TERAPIX Pipeline, ASP Conference Series, Vol. 281, 2002 D.A. Bohlender, D. Durand, and T.H. Handley, eds., p. 228. [PDF]
Released under GPL v3 license. Copyright 2010 IAP - CNRS / Universite P.&M.Curie
|Image Reduction and Analysis Facility (IRAF)||"IRAF is distributed by the National Optical Astronomy Observatories, which are operated by the Association of Universities for Research in Astronomy, Inc., under cooperative agreement with the National Science Foundation."|
|Lacosmicx||van Dokkum, Pieter G. (2001) Cosmic-Ray Rejection by Laplacian Edge Detection, PASP, 113, 789, 1420. [PDF]
Released under BSD license.
|Mangle||M. E. C. Swanson, M. Tegmark, A. J. S. Hamilton, & J. Colin Hill (2007) Methods for rapidly processing angular masks of next-generation galaxy surveys, MNRAS 387, 1391-1402. doi: 10.1111/j.1365-2966.2008.13296.x [PDF]|
|Table management and cross-matching software:|
|TOPCAT and STILTS||M. B. Taylor (2005), "TOPCAT & STIL: Starlink Table/VOTable Processing Software", in Astronomical Data Analysis Software and Systems XIV, eds. P Shopbell et al., ASP Conf. Ser. 347, p. 29. [PDF]
TOPCAT and STILTS released under GPL v3 license.
|X-Match (CDS)||This research made use of the cross-match service provided by CDS, Strasbourg. Boch, T.; Pineau, F.; Derriere, S. (2012), "The CDS Cross-Match Service", in Astronomical Data Analysis Software and Systems XXI, eds. P. Ballester D. Egret & N. P. F. Lorente, ASP Conf. Ser., Vol. 461, p. 291. Pineau, F.; Boch, T.; Derrière, S.; Schaaff, A. (2019), "The CDS Cross-match Service: Key Figures, Internals and Future Plans", in Astronomical Data Analysis Software and Systems XXVII, eds. P. Ballester J. IbsenM. Solar & K. Shortridge, ASP Conf. Ser., Vol. 522, p. 125.|
|Aladin||Released under GPL v3 license.|
|DS9||Composed by source packages released under GPL, LGPL, or BSD licenses.|
|Photometric Redshift codes:|
|BPZ||Benítez, Narciso (2000). Bayesian Photometric Redshift Estimation, apj, vol.536, pp 571-583. doi: 10.1086/308947. [PDF]|
|LePhare||Arnouts, S.; Cristiani, S.; Moscardini, L.; Matarrese, S.; Lucchin, F.; Fontana, A.; Giallongo, E. (1999). Measuring and modelling the redshift evolution of clustering: the Hubble Deep Field North, Monthly Notices, Volume 310, Issue 2, pp. 540-556. doi: 10.1046/j.1365-8711.1999.02978.x. [PDF]|
|Ilbert et al. (2006). Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey, Astronomy and Astrophysics, Volume 457, Issue 3, October III 2006, pp.841-856. doi: 10.1051/0004-6361:20065138. [PDF]|
|TPZ||Carrasco Kind, Matias; Brunner, Robert J. (2013). TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests, mnras, vol.432, pp 1483-1501. doi: 10.1093/mnras/stt574. [PDF]|
|International Virtual Observatory Alliance|
|Aladin Lite||Released under GPL v3 license. Copyright 2013 - UDS/CNRS.|
|Astro.js||Released under GPL v2 license.|
|FIRST||White, Richard L., et al. (1997) A catalog of 1.4 GHz radio sources from the FIRST survey. The Astrophysical Journal, vol. 475, no 2, p. 479..|
|Gaia||This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.
Gaia Collaboration et al. (2016): Description of the Gaia mission (spacecraft, instruments, survey and measurement principles, and operations).
Gaia Collaboration et al. (2018b): Summary of the contents and survey properties.
|GALEX-DR5 AIS||Bianchi, L., et al. GALEX catalogs of UV sources: statistical properties and sample science applications: hot white dwarfs in the Milky Way. Astrophysics and Space Science, 2011, vol. 335, no 1, p. 161-169|
|Pan-STARRS||The Pan-STARRS1 Surveys (PS1) and the PS1 public science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen's University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under Grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation Grant No. AST-1238877, the University of Maryland, Eotvos Lorand University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation.|
|Sloan Digital Sky Survey|
|SDSS I/II||Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the U.S. Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England. The SDSS Web Site is http://www.sdss.org.
The SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions. The Participating Institutions are the American Museum of Natural History, Astrophysical Institute Potsdam, University of Basel, University of Cambridge, Case Western Reserve University, University of Chicago, Drexel University, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, the Joint Institute for Nuclear Astrophysics, the Kavli Institute for Particle Astrophysics and Cosmology, the Korean Scientist Group, the Chinese Academy of Sciences (LAMOST), Los Alamos National Laboratory, the Max-Planck-Institute for Astronomy (MPIA), the Max-Planck-Institute for Astrophysics (MPA), New Mexico State University, Ohio State University, University of Pittsburgh, University of Portsmouth, Princeton University, the United States Naval Observatory, and the University of Washington.
|SDSS III||Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III web site is http://www.sdss3.org/.
SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/Notre Dame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University.
S. Alam, F. D. Albareti, C. Allende Prieto et al.(2015), The Eleventh and Twelfth Data Releases of the Sloan Digital Sky Survey: Final Data from SDSS-III, Astrophysical Journal Supplement 219 12.
|SDSS IV||Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions. SDSS acknowledges support and resources from the Center for High-Performance Computing at the University of Utah. The SDSS web site is www.sdss.org.
SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS Collaboration including the Brazilian Participation Group, the Carnegie Institution for Science, Carnegie Mellon University, the Chilean Participation Group, the French Participation Group, Harvard-Smithsonian Center for Astrophysics, Instituto de Astrofísica de Canarias, The Johns Hopkins University, Kavli Institute for the Physics and Mathematics of the Universe (IPMU) / University of Tokyo, the Korean Participation Group, Lawrence Berkeley National Laboratory, Leibniz Institut für Astrophysik Potsdam (AIP), Max-Planck-Institut für Astronomie (MPIA Heidelberg), Max-Planck-Institut für Astrophysik (MPA Garching), Max-Planck-Institut für Extraterrestrische Physik (MPE), National Astronomical Observatories of China, New Mexico State University, New York University, University of Notre Dame, Observatório Nacional / MCTI, The Ohio State University, Pennsylvania State University, Shanghai Astronomical Observatory, United Kingdom Participation Group, Universidad Nacional Autónoma de México, University of Arizona, University of Colorado Boulder, University of Oxford, University of Portsmouth, University of Utah, University of Virginia, University of Washington, University of Wisconsin, Vanderbilt University, and Yale University.
|Next Generation Spectral Library|
|ROSAT||Voges, W., et al. (2000) ROSAT all-sky survey faint source catalogue. International Astronomical Union Circular, vol. 7432, p. 1.|
|USNO B1.0||We made use of the USNO B1.0 catalog, Stephen Levine and Dave Monet, USNO Flagstaff.
Monet, David G., et al. (2003) The usno-b catalog. The Astronomical Journal, vol. 125, no 2, p. 984.
|ASAS Catalogue of Variable Stars||Pojmanski, G., et al. (2006) ASAS Variable Stars in Southern hemisphere (Pojmanski+, 2002-2005). VizieR Online Data Catalog, vol. 2264, p. 0.|
|Catalina Sky Survey (CSS)||Drake, A. J., et al. (2014) The Catalina Surveys Periodic Variable Star Catalog. The Astrophysical Journal Supplement Series, vol. 213, no 1, p. 9.|
|General Catalogue of Variable Stars (GCVS)||Samus, N. N., et al. (2009) General Catalogue of Variable Stars (Samus+ 2007-2013). VizieR Online Data Catalog, vol. 1, p. 02025.|
|International Variable Star Index (VSX)||Watson, C.; Henden, A. A.; Price, A. (2009) VizieR Online Data Catalog: AAVSO International Variable Star Index VSX (Watson+, 2009). VizieR Online Data Catalog, vol. 1, p. 02027.|
|Kepler Object of Interest (KOI)||This research has made use of the NASA Exoplanet Archive, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program.|
|New Suspected Variables (NSV)||Kukarkin, B. V.; Kholopov, P. N. (1995) New catalogue of suspected variable stars. 1982|
|Northern Sky Variability Survey (NSVS)||Wozniak, P. R., et al. (2004) Identifying red variables in the northern sky variability survey. The Astronomical Journal, vol. 128, no 6, p. 2965.
Kinemuchi, Karen, et al. (2006) Analysis of RR Lyrae Stars in the Northern Sky Variability Survey. The Astronomical Journal, vol. 132, no 3, p. 1202.
|Optical Gravitational Lensing Experiment III (OGLE III)||Udalski, Szymanski, Soszynski and Poleski (2008), The Optical Gravitational Lensing Experiment. Final Reductions of the OGLE-III Data, Acta Astron., 58, 69|
|WISE||This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles,
and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration.
Cutri, R. M., et al (2014). AllWISE Data Release (Cutri+ 2013). VizieR Online Data Catalog, vol. 2328, p. 0.
|2MASS||This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation.
Cutri, R. M., et al. (2003) 2MASS All Sky Catalog of point sources
|NASA/IPAC Extragalactic Database||This research has made use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.|
|Simbad||This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France. 2000,A&AS,143,9 , "The SIMBAD astronomical database", Wenger et al.|
|Vizier||This research has made use of the VizieR catalogue access tool, CDS, Strasbourg, France (DOI : 10.26093/cds/vizier). The original description of the VizieR service was published in 2000, A&AS 143, 23.|