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

Aurvik, R., Galloway, M., Gjerløw, E., Fuskeland, U., Basyrov, A., Bortolami, M., Brilenkov, M., Campeti, P., Eriksen, H.K., Hergt, L.T., Herman, D., Monelli, M., Pagano, L., Puglisi, G., Raffuzzi, N., Stutzer, N.-O., Sullivan, R.M., Thommesen, H., Watts, D.J., Wehus, I.K., Adak, D., Allys, E., Anand, A., Aumont, J., Baccigalupi, C., Ballardini, M., Banday, A.J., Barreiro, R.B., Bartolo, N., Basak, S., Bersanelli, M., Besnard, A., Brinckmann, T., Calabrese, E. ORCID: https://orcid.org/0000-0003-0837-0068, Carinos, E., Casas, F.J., Cheung, K., Citran, M., Clermont, L., Columbro, F., Coppi, G., Coppolecchia, A., Dal Bo, P., de Bernardis, P., de la Hoz, E., De Lucia, M., Della Torre, S., Diego-Palazuelos, P., Essinger-Hileman, T., Franceschet, C., Galloni, G., Gerbino, M., Gervasi, M., Génova-Santos, R.T., Ghigna, T., Giardiello, S., Gimeno-Amo, C., Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Kohri, K., Lamagna, L., Lari, T., Lattanzi, M., Leloup, C., Levrier, F., Lonappan, A.I., López-Caniego, M., Luzzi, G., Macias-Perez, J., Maffei, B., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Micheli, S., Montier, L., Morgante, G., Mousset, L., Nagata, R., Novelli, A., Obata, I., Occhiuzzi, A., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Piacentini, F., Pinchera, M., Polenta, G., Porcelli, L., Remazeilles, M., Ritacco, A., Rizzieri, A., Ruiz-Granda, M., Sanghavi, J., Sauvage, V., Shiraishi, M., Stever, S.L., Takase, Y., Tassis, K., Terenzi, L., Tomasi, M., Tristram, M., Vacher, L., van Tent, B., Vielva, P., Weymann-Despres, G., Wollack, E.J., Zannoni, M., Zhou, Y., The Cosmoglobe collaboration and The LiteBIRD collaboration 2025. On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe. Journal of Cosmology and Astroparticle Physics 2025 (11) , 041. 10.1088/1475-7516/2025/11/041

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Abstract

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 1.55 TB, or 470 GB after Huffman compression. From this we estimate a total data volume of 238 TB for the full three year mission, or 70 TB after Huffman compression. We further estimate the running time for one Gibbs sample, from TOD to cosmological parameters, to be approximately 3000 CPU hours. 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.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Physics and Astronomy
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/, Type: cc-by
Publisher:	IOP Publishing
Date of First Compliant Deposit:	19 November 2025
Date of Acceptance:	23 August 2025
Last Modified:	19 Nov 2025 10:15
URI:	https://orca.cardiff.ac.uk/id/eprint/182504

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