CV Portal: A collaborative cataclysmic variables web-based portal

Rafael Santos
C. V. Rodrigues
Marcia Beatriz Pereira Dominguez
Felipe Carolino
Alexandre Soares de Oliveira (Univap)
Diogo Belloni (INPE)
Alessandro Ederoclite (IAG/USP)

We present the status of the development of a collaborative web-based portal devoted to cataclysmic variables (CV) research. CVs are binary systems composed of a white-dwarf star and a main-sequence star in a compact configuration that allows mass transfer between the stars. The matter flow is responsible for a plethora of observable variability, among them bright outbursts, which give them the cataclysmic adjective. The first version of the CV portal provides a cooperative catalog of CVs. Currently, the main available CV catalogs are Ritter & Kolb (2003, A&A, 404, 301 - v7.24 - Dec/2015) and Downes & Shara (1993, PASP, 105, 127 - v. Feb/2006), RK and DS, respectively, which are no longer updated. We used the data contained in these 2 catalogs as a seed for the CV Portal catalog. It has 2434 objects: 1361 from RK; 1830 from DS; being 757 objects common to both catalogs. The current version allows the user to inspect (or download) the entire catalog or search for objects by name or coordinates. The object page has direct links to ADS and SIMBAD queries of the object, which helps the user to access, for instance, bibliographic information. The user can also submit new entries to the catalog on a single-object basis by a form or by submitting a CSV file. Those submissions should be approved by one of the CV Portal administrators and, after that, are automatically included in the catalog. We anticipate a large number of CVs discoveries by new instruments as J-PAS, J-PLUS, e-Rosita, and LSST, making this collaborative portal a timely development.


Downes, R. A., Shara, M. M., 1993, A catalog of Cataclysmic Variables, PASP, v.105, p.127.
Ritter, H., Kolb, U., 2003, Catalogue of cataclysmic binaries, low-mass X-ray binaries and related objects (Seventh edition), A&A, v.404, p.301-303.

Theme – Science Platforms and Data Lakes, Other