@Article{LopesCrosJabl:2018:SeCoPe,
               author = "Lopes, Carlos Eduardo Ferreira and Cross, N. J. G. and Jablonski, 
                         Francisco Jos{\'e}",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Edinburgh} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "New insights into time series analysis III: setting constraints on 
                         period analysis",
              journal = "Monthly Notices of the Royal Astronomical Society",
                 year = "2018",
               volume = "481",
               number = "3",
                pages = "3083--3097",
                month = "Dec.",
             keywords = "methods: data analysis – methods: statistical – techniques: 
                         photometric – astronomical data bases: miscellaneous – binaries: 
                         general – stars: variables: general.",
             abstract = "E-science of photometric data requires automatic procedures and a 
                         precise recognition of periodic patterns to perform science as 
                         well as possible on large data. Analytical equations that enable 
                         us to set the best constraints to properly reduce processing time 
                         and hence optimize signal searches play a crucial role in this 
                         matter. These are increasingly important because the production of 
                         unbiased samples from variability indices and statistical 
                         parameters has not been achievable so far. We discuss the 
                         constraints used in periodic signals detection methods as well as 
                         the uncertainties in the estimation of periods and amplitudes. The 
                         frequency resolution necessary to investigate a time series is 
                         assessed with a new approach that estimates the necessary sampling 
                         resolution from shifts on the phase diagrams for successive 
                         frequency grid points. We demonstrate the underlying meaning of 
                         the oversampling factor. We reassess the frequency resolutions 
                         required to find the variability periods of EA stars and use the 
                         new resolutions to analyse a small sample of EAup Catalina stars, 
                         i.e. EA stars previously classified as having insufficient number 
                         of observations at the eclipses. As a result, the variability 
                         periods of four EAup stars were determined. Moreover, we have a 
                         new approach to estimate the amplitude and period variations. From 
                         these estimations, information about the intrinsic variations of 
                         the sources is obtained. For a complete characterization of the 
                         light-curve signal, the period uncertainty and period variation 
                         must be determined. Constraints on periodic signal searches were 
                         analysed and delimited.",
                  doi = "10.1093/mnras/sty2469",
                  url = "http://dx.doi.org/10.1093/mnras/sty2469",
                 issn = "0035-8711 and 1365-2966",
             language = "en",
           targetfile = "lopes_new.pdf",
        urlaccessdate = "27 abr. 2024"
}