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The BINGO project VIII: On the recoverability of the BAO signal on HI intensity mapping simulations

A new and promising technique for observing the Universe and study the dark sector is the intensity mapping of the redshifted 21cm line of neutral hydrogen (HI). The BINGO radio telescope will use the 21cm line to map the Universe in the redshift range $0.127 \le z \le 0.449$, in a tomographic appro...

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Published in:Astronomy and astrophysics (Berlin) 2022, Vol.666
Main Authors: Novaes, Camila Paiva, Zhang, Jiajun, de Mericia, Eduardo J., Abdalla, Filipe B., Liccardo, Vincenzo, Wuensche, Carlos A., Delabrouille, Jacques, Remazeilles, Mathieu, Santos, Larissa, Landim, Ricardo G., Abdalla, Elcio, Barosi, Luciano, Queiroz, Amilcar, Villela, Thyrso, Wang, Bin, Brito, Francisco A., Costa, André A., Ferreira, Elisa G.M., Marins, Alessandro, dos Santos, Marcelo V.
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container_title Astronomy and astrophysics (Berlin)
container_volume 666
creator Novaes, Camila Paiva
Zhang, Jiajun
de Mericia, Eduardo J.
Abdalla, Filipe B.
Liccardo, Vincenzo
Wuensche, Carlos A.
Delabrouille, Jacques
Remazeilles, Mathieu
Santos, Larissa
Landim, Ricardo G.
Abdalla, Elcio
Barosi, Luciano
Queiroz, Amilcar
Villela, Thyrso
Wang, Bin
Brito, Francisco A.
Costa, André A.
Ferreira, Elisa G.M.
Marins, Alessandro
dos Santos, Marcelo V.
description A new and promising technique for observing the Universe and study the dark sector is the intensity mapping of the redshifted 21cm line of neutral hydrogen (HI). The BINGO radio telescope will use the 21cm line to map the Universe in the redshift range $0.127 \le z \le 0.449$, in a tomographic approach, with the main goal of probing BAO. This work presents the forecasts of measuring the transversal BAO signal during the BINGO Phase 1 operation. We use two clustering estimators, the two-point angular correlation function (ACF) and the angular power spectrum (APS), and a template-based method to model the ACF and APS estimated from simulations of the BINGO region and extract the BAO information. The tomographic approach allows the combination of redshift bins to improve the template fitting performance. 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 larger probability of detection of the BAO signal, achieving $\gtrsim 90$% at higher redshifts. We investigate the contribution from instrumental noise and residual foreground signals and find that the former has the greater impact, getting more significant as the redshift increases, in particular the APS estimator. Indeed, including noise in the analysis increases the uncertainty up to a factor of $\sim 2.2$ at higher redshifts. Foreground residuals, in contrast, do not significantly affect our final uncertainties. In summary, our results show that, even including semi-realistic systematic effects, BINGO has the potential to successfully measure the BAO scale in radio frequencies. (Abridged)
doi_str_mv 10.1051/0004-6361/202243158
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The BINGO radio telescope will use the 21cm line to map the Universe in the redshift range $0.127 \le z \le 0.449$, in a tomographic approach, with the main goal of probing BAO. This work presents the forecasts of measuring the transversal BAO signal during the BINGO Phase 1 operation. We use two clustering estimators, the two-point angular correlation function (ACF) and the angular power spectrum (APS), and a template-based method to model the ACF and APS estimated from simulations of the BINGO region and extract the BAO information. The tomographic approach allows the combination of redshift bins to improve the template fitting performance. 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 larger probability of detection of the BAO signal, achieving $\gtrsim 90$% at higher redshifts. We investigate the contribution from instrumental noise and residual foreground signals and find that the former has the greater impact, getting more significant as the redshift increases, in particular the APS estimator. Indeed, including noise in the analysis increases the uncertainty up to a factor of $\sim 2.2$ at higher redshifts. Foreground residuals, in contrast, do not significantly affect our final uncertainties. In summary, our results show that, even including semi-realistic systematic effects, BINGO has the potential to successfully measure the BAO scale in radio frequencies. 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title The BINGO project VIII: On the recoverability of the BAO signal on HI intensity mapping simulations
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