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@Article{NovaesBernFerrWuen:2015:NeBaEs,
               author = "Novaes, Camila P. and Berni, A. and Ferreira, Ivan S. and 
                         Wuensche, Carlos Alexandre",
          affiliation = "{Observat{\'o}rio Nacional (ON)} and {Observat{\'o}rio Nacional 
                         (ON)} and {Universidade de Bras{\'{\i}}lia (UnB)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A neural-network based estimator to search for primordial 
                         non-Gaussianity in Planck CMB maps",
              journal = "Journal of Cosmology and Astroparticle Physics",
                 year = "2015",
               volume = "2015",
               number = "9",
                month = "Sept.",
             keywords = "CMBR theory, non-gaussianity.",
             abstract = "We present an upgraded combined estimator, based on Minkowski 
                         Functionals and Neural Networks, with excellent performance in 
                         detecting primordial non-Gaussianity in simulated maps that also 
                         contain a weighted mixture of Galactic contaminations, besides 
                         real pixel's noise from Planck cosmic microwave background 
                         radiation data. We rigorously test the efficiency of our estimator 
                         considering several plausible scenarios for residual 
                         non-Gaussianities in the foreground-cleaned Planck maps, with the 
                         intuition to optimize the training procedure of the Neural Network 
                         to discriminate between contaminations with primordial and 
                         secondary non-Gaussian signatures. We look for constraints of 
                         primordial local non-Gaussianity at large angular scales in the 
                         foreground-cleaned Planck maps. For the SMICA map we found fNL = 
                         33  23, at 1\σ confidence level, in excellent agreement 
                         with the WMAP-9yr and Planck results. In addition, for the other 
                         three Planck maps we obtain similar constraints with values in the 
                         interval fNL [33, 41], concomitant with the fact that these maps 
                         manifest distinct features in reported analyses, like having 
                         different pixel's noise intensities.",
                  doi = "10.1088/1475-7516/2015/09/064",
                  url = "http://dx.doi.org/10.1088/1475-7516/2015/09/064",
                 issn = "1475-7516",
             language = "en",
           targetfile = "novaes.pdf",
        urlaccessdate = "04 dez. 2020"
}


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