Accès ouvert déclaré
2025
preprint
On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
R. Aurvik, M. Galloway, E. Gjerløw, U Fuskeland, A. Basyrov, M. Bortolami, M. Brilenkov, P. Campeti, H. K. Eriksen, L. T. Hergt, D. Herman, M. Monelli, L. Pagano, Giuseppe Puglisi, N. Raffuzzi, Nils-Ole Stutzer, R. M. Sullivan, H. Thommesen, DJ Watts, I. K. Wehus, D Adak, Erwan Allys, Ashish Anand, J. Aumont, C Baccigalupi, M. Ballardini, A. J. Banday, R. B. Barreiro, N. Bartolo, S. Basak, M. Bersanelli, A Besnard, T Brinckmann, Erminia Calabrese, E. Carinos, F. J. Casas, K. Cheung, M Citran, Lionel Clermont, F Columbro, Gabriele Coppi, A Coppolecchia, Bo Peng, P de Bernardis, E. de la Hoz, Mario de Lucia, S Della Torre, P. Diego-Palazuelos, Thomas Essinger-Hileman, C Franceschet, G. Galloni, M. Gerbino, M. Gervasi, R.T Genova-Santos, T. Ghigna, S. Giardiello, C. Gimeno-Amo, A. Gruppuso, M. Hazumi, S. Henrot–Versillé, Kazunori Kohri, L. Lamagna, T. Lari, M. Lattanzi, C. Leloup, F. Levrier, A.I. Lonappan, M. López-Caniego, G. Luzzi, J. F. Macías–Pérez, B. Maffei, E. Martínez-González, S. Masi, S. Matarrese, T. Matsumura, S. Micheli, L. Montier, G. Morgante, L. Mousset, Ryo Nagata, Andrea Novelli, Ippei Obata, Antonio Occhiuzzi, A Paiella, D. Paoletti, G Pascual-Cisneros, F Piacentini, Michele Pinchera, G Polenta, L. Porcelli, M Remazeilles, A. Ritacco, A. Rizzieri, M. Ruiz-Granda, J. Sanghavi, V. Sauvage, Maresuke Shiraishi, S. L. Stever, Y Takase, Konstantinos Tassis, L. Terenzi, M. Tomasi, M. Tristram, L. Vacher, B. Van Tent, P. Vielva, G. Weymann-Despres, Edward J. Wollack, M. Zannoni, Yu-Feng Zhou
0Citations signalées, ce qui n’est pas une note de qualité
8Institutions déclarées
2Pays d’affiliation déclarés
Rattachement africain : no, fr.
Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
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Les sujets associés
Power Line Communications and NoiseAdvanced Data Compression TechniquesImage and Signal Denoising Methods