TOPCAT

TOPCAT
Name	TOPCAT
Developer	Mark Taylor
Released	2003
Programming language	Java
Operating system	Cross-platform
Genre	Astronomical data analysis
License	MIT License

TOPCAT

TOPCAT is an interactive graphical application for analysis and manipulation of astronomical tabular data widely used by researchers working with surveys such as Sloan Digital Sky Survey, Gaia, Two Micron All Sky Survey and missions like Hubble Space Telescope, Chandra X-ray Observatory, Spitzer Space Telescope. Its developer, Mark Taylor, created the software to support work on catalogues from projects including UKIRT Infrared Deep Sky Survey, Very Large Telescope, Atacama Large Millimeter Array and to interoperate with services like the Virtual Observatory initiative and standards from the International Astronomical Union.

Overview

TOPCAT provides capabilities for interactive exploration of multi-million-row tables produced by surveys such as Pan-STARRS, WISE, ROSAT, Kepler and facilities like European Southern Observatory instruments. It is designed to work with standards championed by organisations such as the International Virtual Observatory Alliance, the Centre de Données astronomiques de Strasbourg, and archives like the Mikulski Archive for Space Telescopes. The application enables workflows that connect to services like SIMBAD, VizieR, NASA/IPAC Infrared Science Archive, and archives associated with missions including Cassini–Huygens and Voyager program.

Features

TOPCAT offers capabilities for table filtering, column expression evaluation, plotting and statistics used in analyses of data from projects such as Vera C. Rubin Observatory, Euclid, James Webb Space Telescope, and instruments from Keck Observatory. Plotting features support multi-dimensional visualisation techniques common in studies published by groups affiliated with Max Planck Society, Harvard–Smithsonian Center for Astrophysics, Carnegie Institution for Science, and Space Telescope Science Institute. It includes crossmatching routines used in cross-survey comparisons between catalogues like HIPPARCOS, Hipparcos-derived compilations, RAVE, and follow-up campaigns coordinated by organizations such as European Space Agency and National Aeronautics and Space Administration.

Data Formats and Interoperability

TOPCAT reads and writes formats used across archives such as FITS, VOTable, CSV, and binary tables exchanged between projects like Large Hadron Collider collaborations (for table interoperability), catalogue services like VizieR and repositories hosted by Strasbourg Astronomical Data Center. It implements protocols from the International Virtual Observatory Alliance including TAP and SAMP to connect to tools such as Aladin Sky Atlas, Astropy, CASA, and analysis environments used by teams at Space Telescope Science Institute, European Southern Observatory and National Radio Astronomy Observatory. Interoperability permits integration with scripting ecosystems exemplified by Python, IDL, R and toolchains developed in research groups at Caltech, MIT, Stanford University.

Usage and Interface

The graphical user interface supports interactive table browsing, column arithmetic, plotting and selection workflows employed in papers from consortia like SDSS Collaboration, Gaia Collaboration, LSST Corporation and research groups at University of Cambridge, Princeton University, University of Oxford. Users leverage plotting panels for density maps, scatter plots, histograms and vectors for datasets originating from instruments such as Subaru Telescope, Hubble Space Telescope, James Clerk Maxwell Telescope and surveys managed by National Science Foundation-funded centres. Integration with desktop environments on Linux, Microsoft Windows, and macOS allows researchers at institutions like University of California, Berkeley, Yale University, University of Tokyo to combine TOPCAT with batch tools and servers such as those run by CERN and National Astronomical Observatory of Japan.

Development and Licensing

Development of TOPCAT has been led by Mark Taylor with contributions from users in communities around projects such as International Astronomical Union, International Virtual Observatory Alliance, European Space Agency science archives and academic groups at University of Bristol and University of Edinburgh. The codebase is implemented in Java and distributed under an open-source licence compatible with reuse in environments run by organisations like NASA, ESA, JAXA, and observatory software stacks at Royal Observatory, Greenwich. Releases align with standards produced by bodies such as the International Organization for Standardization when relevant to data exchange and adopt practices used in projects like Astropy Project and toolkits maintained by Smithsonian Astrophysical Observatory.

Reception and Applications

TOPCAT has been cited in numerous publications from collaborations including Gaia Collaboration, SDSS Collaboration, HESS Collaboration and used in workflows at institutions such as European Southern Observatory, Space Telescope Science Institute, Max Planck Institute for Astronomy, University of Cambridge and national facilities funded by agencies like UK Research and Innovation and National Science Foundation. It is recommended in training courses run by organisations like International Astronomical Union schools, Europlanet outreach, and university curricula at University of Edinburgh, University of Leicester, University of Arizona. Applications range from studies of stellar kinematics in datasets from Gaia to multi-wavelength counterpart identification in surveys by Chandra X-ray Observatory, VLA, ALMA and mission legacy analyses for Hubble Space Telescope and Spitzer Space Telescope.

Category:Astronomy software