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...
| Autores: | , , , , , , , , , , |
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| 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 |
| Sumario: | 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. |
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