The BINGO Project IV: Simulations for mission performance assessment and preliminary component separation steps
Vincenzo Liccardo, Eduardo J. de Mericia, Carlos A. Wuensche, Elcio, Abdalla, Filipe B. Abdalla, Luciano Barosi, Francisco A. Brito, Amilcar, Queiroz, Thyrso Villela, Michael W. Peel, Bin Wang, Andre A. Costa, Elisa G., M. Ferreira, Karin S. F. Fornazier, Camila P. Novaes

TL;DR
This paper presents simulations of the BINGO radio telescope's performance for 21 cm intensity mapping, optimizing the design and demonstrating the feasibility of component separation methods to extract cosmological signals.
Contribution
It introduces end-to-end simulations for BINGO, optimizing the focal plane design and evaluating the GNILC component separation method's effectiveness.
Findings
Optimized the BINGO telescope's focal plane design.
Demonstrated GNILC's feasibility for signal extraction.
Results comparable to principal component analysis.
Abstract
The large-scale distribution of neutral hydrogen (HI) in the Universe is luminous through its 21 cm emission. The goal of the Baryon Acoustic Oscillations from Integrated Neutral Gas Observations -- BINGO -- radio telescope is to detect baryon acoustic oscillations (BAOs) at radio frequencies through 21 cm intensity mapping (IM). The telescope will span the redshift range 0.127 0.449 with an instantaneous field-of-view of . In this work we investigate different constructive and operational scenarios of the instrument by generating sky maps as they would be produced by the instrument. In doing this we use a set of end-to-end IM mission simulations. The maps will additionally be used to evaluate the efficiency of a component separation method (GNILC). We have simulated the kind of data that would be produced in a single-dish IM experiment such as…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
