On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe

We assess the computational feasibility of end-to-end Bayesian analysis of the JAXA-led LiteBIRD experiment by analysing simulated time ordered data (TOD) for a subset of detectors through the Cosmoglobe and Commander3 framework. The data volume for the simulated TOD is 1.55TB, or 470GB after Huffma...

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Autores: Aurvik, Ragnhild, Galloway, Mathew, Gjerløw, Eirik, Fuskeland, Unni, Basyrov, Artem, Bortolami, Marco, Brilenkov, Maksym, Campeti, Paolo, Eriksen, Hans Kristian Kamfjord, López-Caniego Alcarria, Marcos, et al.
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad Europea (UEM)
Repositorio:ABACUS. Repositorio de Producción Científica
Idioma:inglés
OAI Identifier:oai:abacus.universidadeuropea.com:11268/16495
Acceso en línea:https://hdl.handle.net/11268/16495
Access Level:acceso abierto
Palabra clave:Ciencias del espacio
Física
Astrofísica
Goal 4: Quality education
Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
Goal 17: Partnerships
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spelling On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within CosmoglobeAurvik, RagnhildGalloway, MathewGjerløw, EirikFuskeland, UnniBasyrov, ArtemBortolami, MarcoBrilenkov, MaksymCampeti, PaoloEriksen, Hans Kristian KamfjordLópez-Caniego Alcarria, Marcoset al.Ciencias del espacioFísicaAstrofísicaGoal 4: Quality educationGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovationGoal 17: PartnershipsWe assess the computational feasibility of end-to-end Bayesian analysis of the JAXA-led LiteBIRD experiment by analysing simulated time ordered data (TOD) for a subset of detectors through the Cosmoglobe and Commander3 framework. The data volume for the simulated TOD is 1.55TB, or 470GB after Huffman compression. From this we estimate a total data volume of 238TB for the full three year mission, or 70TB after Huffman compression. We further estimate the running time for one Gibbs sample, from TOD to cosmological parameters, to be approximately 3000CPUhours. The current simulations are based on an ideal instrument model, only including correlated 1/f noise. Future work will consider realistic systematics with full end-to-end error propagation. We conclude that these requirements are well within capabilities of future high-performance computing systems.20252025-11-2120252025-01-0120252025-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/11268/16495reponame:ABACUS. Repositorio de Producción Científicainstname:Universidad Europea (UEM)InglésengEuropean Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 819478European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 772253European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 101007633open accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:abacus.universidadeuropea.com:11268/164952026-06-11T12:41:27Z
dc.title.none.fl_str_mv On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
title On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
spellingShingle On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
Aurvik, Ragnhild
Ciencias del espacio
Física
Astrofísica
Goal 4: Quality education
Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
Goal 17: Partnerships
title_short On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
title_full On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
title_fullStr On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
title_full_unstemmed On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
title_sort On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
dc.creator.none.fl_str_mv Aurvik, Ragnhild
Galloway, Mathew
Gjerløw, Eirik
Fuskeland, Unni
Basyrov, Artem
Bortolami, Marco
Brilenkov, Maksym
Campeti, Paolo
Eriksen, Hans Kristian Kamfjord
López-Caniego Alcarria, Marcos
et al.
author Aurvik, Ragnhild
author_facet Aurvik, Ragnhild
Galloway, Mathew
Gjerløw, Eirik
Fuskeland, Unni
Basyrov, Artem
Bortolami, Marco
Brilenkov, Maksym
Campeti, Paolo
Eriksen, Hans Kristian Kamfjord
López-Caniego Alcarria, Marcos
et al.
author_role author
author2 Galloway, Mathew
Gjerløw, Eirik
Fuskeland, Unni
Basyrov, Artem
Bortolami, Marco
Brilenkov, Maksym
Campeti, Paolo
Eriksen, Hans Kristian Kamfjord
López-Caniego Alcarria, Marcos
et al.
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Ciencias del espacio
Física
Astrofísica
Goal 4: Quality education
Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
Goal 17: Partnerships
topic Ciencias del espacio
Física
Astrofísica
Goal 4: Quality education
Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
Goal 17: Partnerships
description We assess the computational feasibility of end-to-end Bayesian analysis of the JAXA-led LiteBIRD experiment by analysing simulated time ordered data (TOD) for a subset of detectors through the Cosmoglobe and Commander3 framework. The data volume for the simulated TOD is 1.55TB, or 470GB after Huffman compression. From this we estimate a total data volume of 238TB for the full three year mission, or 70TB after Huffman compression. We further estimate the running time for one Gibbs sample, from TOD to cosmological parameters, to be approximately 3000CPUhours. The current simulations are based on an ideal instrument model, only including correlated 1/f noise. Future work will consider realistic systematics with full end-to-end error propagation. We conclude that these requirements are well within capabilities of future high-performance computing systems.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-11-21
2025
2025-01-01
2025
2025-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/11268/16495
url https://hdl.handle.net/11268/16495
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 819478
European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 772253
European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 101007633
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:ABACUS. Repositorio de Producción Científica
instname:Universidad Europea (UEM)
instname_str Universidad Europea (UEM)
reponame_str ABACUS. Repositorio de Producción Científica
collection ABACUS. Repositorio de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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