The BINGO/ABDUS Project: Forecast for cosmological parameters from a mock Fast Radio Bursts survey
Xue Zhang, Yu Sang, Gabriel A. Hoerning, Filipe B. Abdalla, Elcio Abdalla, Amilcar Queiroz, Andre A. Costa, Ricardo G. Landim, Chang Feng, Bin Wang, Marcelo V. dos Santos, Thyrso Villela, Carlos A. Wuensche, Jiajun Zhang, Edmar Gurjao, Alessandro Marins, Alexandre Serres

TL;DR
This paper forecasts how data from the BINGO FRB survey can improve constraints on cosmological parameters, especially dark energy, when combined with existing datasets, highlighting FRBs as a promising cosmological probe.
Contribution
It presents the first detailed forecast of BINGO FRB survey's impact on constraining cosmological parameters and dark energy models using mock data and current datasets.
Findings
BINGO FRB data can constrain host galaxy DM and nuisance parameters.
FRBs can measure the degenerate w-H0 plane, inaccessible to CMB.
FRBs will significantly enhance our understanding of the cosmological model.
Abstract
There are various surveys that will provide excellent data to search for and localize Fast Radio Bursts (FRBs). The BINGO project will be one such survey, and this collaboration has already estimated a FRB detection rate that the project will yield. We present a forecast of the future constraints on our current cosmological model that the BINGO FRB detections and localizations will have when added to other current cosmological datasets. We quantify the dispersion measure (DM) as a function of redshift () for the BINGO FRB mock sample. Furthermore, we use current datasets (Supernovae, Baryonic Acoustic Oscillations, and Cosmic Microwave Background data) prior to assessing the efficacy of constraining dark energy models using Monte Carlo methods. Our results show that spatially localized BINGO FRB dataset will provide promising constraints on the population of host galaxies intrinsic…
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.
Taxonomy
TopicsStatistical and numerical algorithms · Radio Astronomy Observations and Technology · Geophysics and Gravity Measurements
