The impact of the FREDDA dedispersion algorithm on H0 estimations with fast radio bursts

Fast radio bursts (FRBs) are transient radio signals of extragalactic origins that are subjected to propagation effects such as dispersion and scattering. It follows then that these signals hold information regarding the medium they have traversed and are hence useful as cosmological probes of the U...

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Main Authors: Hoffmann, Jordan, James, Clancy, Qiu, H., Glowacki, Marcin, Bannister, K.W., Gupta, V., Prochaska, J.X., Bera, Apurba, Deller, A.T., Gourdji, K., Marnoch, L., Ryder, S.D., Scott, D.R., Shannon, R.M., Tejos, N.
Format: Journal Article
Published: 2024
Online Access:http://hdl.handle.net/20.500.11937/94769
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author Hoffmann, Jordan
James, Clancy
Qiu, H.
Glowacki, Marcin
Bannister, K.W.
Gupta, V.
Prochaska, J.X.
Bera, Apurba
Deller, A.T.
Gourdji, K.
Marnoch, L.
Ryder, S.D.
Scott, D.R.
Shannon, R.M.
Tejos, N.
author_facet Hoffmann, Jordan
James, Clancy
Qiu, H.
Glowacki, Marcin
Bannister, K.W.
Gupta, V.
Prochaska, J.X.
Bera, Apurba
Deller, A.T.
Gourdji, K.
Marnoch, L.
Ryder, S.D.
Scott, D.R.
Shannon, R.M.
Tejos, N.
author_sort Hoffmann, Jordan
building Curtin Institutional Repository
collection Online Access
description Fast radio bursts (FRBs) are transient radio signals of extragalactic origins that are subjected to propagation effects such as dispersion and scattering. It follows then that these signals hold information regarding the medium they have traversed and are hence useful as cosmological probes of the Universe. Recently, FRBs were used to make an independent measure of the Hubble constant H0, promising to resolve the Hubble tension given a sufficient number of detected FRBs. Such cosmological studies are dependent on FRB population statistics, cosmological parameters, and detection biases, and thus it is important to accurately characterize each of these. In this work, we empirically characterize the sensitivity of the Fast Real-time Engine for Dedispersing Amplitudes (FREDDA) which is the current detection system for the Australian Square Kilometre Array Pathfinder (ASKAP). We coherently redisperse high-time resolution data of 13 ASKAP-detected FRBs and inject them into FREDDA to determine the recovered signal-to-noise ratios as a function of dispersion measure. We find that for 11 of the 13 FRBs, these results are consistent with injecting idealized pulses. Approximating this sensitivity function with theoretical predictions results in a systematic error of 0.3 km s-1 Mpc-1 on H0 when it is the only free parameter. Allowing additional parameters to vary could increase this systematic by up to ∼ 1 km s-1 Mpc-1. We estimate that this systematic will not be relevant until ∼400 localized FRBs have been detected, but will likely be significant in resolving the Hubble tension.
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institution Curtin University Malaysia
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publishDate 2024
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spelling curtin-20.500.11937-947692024-05-09T07:19:27Z The impact of the FREDDA dedispersion algorithm on H0 estimations with fast radio bursts Hoffmann, Jordan James, Clancy Qiu, H. Glowacki, Marcin Bannister, K.W. Gupta, V. Prochaska, J.X. Bera, Apurba Deller, A.T. Gourdji, K. Marnoch, L. Ryder, S.D. Scott, D.R. Shannon, R.M. Tejos, N. Fast radio bursts (FRBs) are transient radio signals of extragalactic origins that are subjected to propagation effects such as dispersion and scattering. It follows then that these signals hold information regarding the medium they have traversed and are hence useful as cosmological probes of the Universe. Recently, FRBs were used to make an independent measure of the Hubble constant H0, promising to resolve the Hubble tension given a sufficient number of detected FRBs. Such cosmological studies are dependent on FRB population statistics, cosmological parameters, and detection biases, and thus it is important to accurately characterize each of these. In this work, we empirically characterize the sensitivity of the Fast Real-time Engine for Dedispersing Amplitudes (FREDDA) which is the current detection system for the Australian Square Kilometre Array Pathfinder (ASKAP). We coherently redisperse high-time resolution data of 13 ASKAP-detected FRBs and inject them into FREDDA to determine the recovered signal-to-noise ratios as a function of dispersion measure. We find that for 11 of the 13 FRBs, these results are consistent with injecting idealized pulses. Approximating this sensitivity function with theoretical predictions results in a systematic error of 0.3 km s-1 Mpc-1 on H0 when it is the only free parameter. Allowing additional parameters to vary could increase this systematic by up to ∼ 1 km s-1 Mpc-1. We estimate that this systematic will not be relevant until ∼400 localized FRBs have been detected, but will likely be significant in resolving the Hubble tension. 2024 Journal Article http://hdl.handle.net/20.500.11937/94769 10.1093/mnras/stae131 http://creativecommons.org/licenses/by/4.0/ fulltext
spellingShingle Hoffmann, Jordan
James, Clancy
Qiu, H.
Glowacki, Marcin
Bannister, K.W.
Gupta, V.
Prochaska, J.X.
Bera, Apurba
Deller, A.T.
Gourdji, K.
Marnoch, L.
Ryder, S.D.
Scott, D.R.
Shannon, R.M.
Tejos, N.
The impact of the FREDDA dedispersion algorithm on H0 estimations with fast radio bursts
title The impact of the FREDDA dedispersion algorithm on H0 estimations with fast radio bursts
title_full The impact of the FREDDA dedispersion algorithm on H0 estimations with fast radio bursts
title_fullStr The impact of the FREDDA dedispersion algorithm on H0 estimations with fast radio bursts
title_full_unstemmed The impact of the FREDDA dedispersion algorithm on H0 estimations with fast radio bursts
title_short The impact of the FREDDA dedispersion algorithm on H0 estimations with fast radio bursts
title_sort impact of the fredda dedispersion algorithm on h0 estimations with fast radio bursts
url http://hdl.handle.net/20.500.11937/94769