@Article{OliveiraFPJRDCC:2020:EAClCa,
               author = "Oliveira, Aysses do Carmo and Ferreira Lopes, Carlos Eduardo and 
                         Papageorgiou, Athanasios and Jablonski, Francisco Jos{\'e} and 
                         Rodrigues, Cl{\'a}udia Vilega and Drake, A. J. and Cross, N. J. 
                         G. and Catelan, M{\'a}rcio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Pontificia 
                         Universidad Catolica de Chile} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {California Institute of Technology} and 
                         {Scottish Universities Physics Alliance (SUPA)} and {Pontificia 
                         Universidad Catolica de Chile}",
                title = "Recovering variable stars in large surveys: EAupAlgol-type class 
                         in the Catalina Survey",
              journal = "Monthly Notices of the Royal Astronomical Society",
                 year = "2020",
               volume = "498",
               number = "2",
                pages = "2833--2844",
                month = "Oct.",
             keywords = "methods: data analysis – techniques: photometric – astronomical 
                         data bases: miscellaneous – stars: late-type – stars: low-mass – 
                         stars: variables: general.",
             abstract = "The discovery and characterization of Algol eclipsing binaries 
                         (EAs) provide an opportunity to contribute for a better picture of 
                         the structure and evolution of low-mass stars. However, the 
                         cadence of most current photometric surveys hinders the detection 
                         of EAs since the separation between observations is usually larger 
                         than the eclipse(s) duration and hence few measurements are found 
                         at the eclipses. Even when those objects are detected as variable, 
                         their periods can be missed if an appropriate oversampling factor 
                         is not used in the search tools. In this paper, we apply this 
                         approach to find the periods of stars catalogued in the Catalina 
                         Real-Time Transient Survey (CRTS) as EAs having unknown period 
                         (EAup). As a result, the periods of \∼56 per cent of them 
                         were determined. Eight objects were identified as low-mass binary 
                         systems and modelled with the Wilson \& Devinney synthesis code 
                         combined with a Markov chain Monte Carlo optimization procedure. 
                         The computed masses and radii are in agreement with theoretical 
                         models and show no evidence of inflated radii. This paper is the 
                         first of a series aiming to identify suspected binary systems in 
                         large surveys.",
                  doi = "10.1093/mnras/staa2518",
                  url = "http://dx.doi.org/10.1093/mnras/staa2518",
                 issn = "0035-8711 and 1365-2966",
             language = "en",
           targetfile = "carmo_recovering.pdf",
        urlaccessdate = "26 abr. 2024"
}