@Article{NovaesZMALWDRSLABQVWCFMS:2022:ReBASi,
               author = "Novaes, Camila Paiva and Zhang, Jiajun and Mericia, Eduardo Jubini 
                         de and Abdalla, Filipe B. and Liccardo, Vincenzo and Wuensche, 
                         Carlos Alexandre and Delabrouille, Jacques and Remazeilles, 
                         Mathieu and Santos, Larissa and Landim, Ricardo G. and Abdalla, 
                         Elcio and Barosi, Luciano and Queiroz, Amilcar R. and Villela 
                         Neto, Thyrso and Wang, Bin and Costa, Andre A. and Ferreira, Elisa 
                         G. M. and Marins, Alessandro and Santos, Marcelo V. dos",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Institute 
                         for Basic Science (IBS)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade de S{\~a}o Paulo (USP)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universit{\'e} Paris 
                         Diderot} and {The University of Manchester} and {Yangzhou 
                         University} and {Technische Universit{\"a}t M{\"u}nchen} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Universidade Federal 
                         de Campina Grande (UFCG)} and {Universidade Federal de Campina 
                         Grande (UFCG)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Yangzhou University} and {Yangzhou University} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Universidade Federal de Campina Grande 
                         (UFCG)}",
                title = "The BINGO project VIII. Recovering the BAO signal in Hi intensity 
                         mapping simulations",
              journal = "Astronomy and Astrophysics",
                 year = "2022",
               volume = "666",
                pages = "A83",
                month = "Oct.",
             keywords = "large-scale structure of Universe.",
             abstract = "Context. A new and promising technique for observing the Universe 
                         and study the dark sector is the intensity mapping of the 
                         redshifted 21 cm line of neutral hydrogen (Hi). The Baryon 
                         Acoustic Oscillations [BAO] from Integrated Neutral Gas 
                         Observations (BINGO) radio telescope will use the 21 cm line to 
                         map the Universe in the redshift range 0.127 <= z <= 0.449 in a 
                         tomographic approach, with the main goal of probing the BAO. Aims. 
                         This work presents the forecasts of measuring the transversal BAO 
                         signal during the BINGO phase 1 operation. Methods. We used two 
                         clustering estimators: the two-point angular correlation function 
                         (ACF) in configuration space, and the angular power spectrum (APS) 
                         in harmonic space. We also used a template-based method to model 
                         the ACF and APS estimated from simulations of the BINGO region and 
                         to extract the BAO information. The tomographic approach allows 
                         the combination of redshift bins to improve the template fitting 
                         performance. We computed the ACF and APS for each of the 30 
                         redshift bins and measured the BAO signal in three consecutive 
                         redshift blocks (lower, intermediate, and higher) of ten channels 
                         each. Robustness tests were used to evaluate several aspects of 
                         the BAO fitting pipeline for the two clustering estimators. 
                         Results. We find that each clustering estimator shows different 
                         sensitivities to specific redshift ranges, although both of them 
                         perform better at higher redshifts. In general, the APS estimator 
                         provides slightly better estimates, with smaller uncertainties and 
                         a higher probability of detecting the BAO signal, achieving 
                         greater than or similar to 90% at higher redshifts. We investigate 
                         the contribution from instrumental noise and residual foreground 
                         signals and find that the former has the greater impact. It 
                         becomes more significant with increasing redshift, in particular 
                         for the APS estimator. When noise is included in the analysis, the 
                         uncertainty increases by up to a factor of similar to 2.2 at 
                         higher redshifts. Foreground residuals, in contrast, do not 
                         significantly affect our final uncertainties. Conclusions. In 
                         summary, our results show that even when semi-realistic systematic 
                         effects are included, BINGO has the potential to successfully 
                         measure the BAO scale at radio frequencies.",
                  doi = "10.1051/0004-6361/202243158",
                  url = "http://dx.doi.org/10.1051/0004-6361/202243158",
                 issn = "0004-6361 and 1432-0746",
             language = "en",
           targetfile = "aa43158-22.pdf",
        urlaccessdate = "06 jun. 2024"
}