Please use this identifier to cite or link to this item:
http://hdl.handle.net/2248/8323
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DC Field | Value | Language |
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dc.contributor.author | Eskilt, J. R | - |
dc.contributor.author | Lee, K | - |
dc.contributor.author | Watts, D. J | - |
dc.contributor.author | Anshu, V | - |
dc.contributor.author | Aurlien, R | - |
dc.contributor.author | Basyrov, A | - |
dc.contributor.author | Bersanelli, M | - |
dc.contributor.author | Colombo, L. P. L | - |
dc.contributor.author | Eriksen, H. K | - |
dc.contributor.author | Fornazier, K. S. F | - |
dc.contributor.author | Fuskeland, U | - |
dc.contributor.author | Galloway, M | - |
dc.contributor.author | Gjerlow, E | - |
dc.contributor.author | Hergt, L. T | - |
dc.contributor.author | Ihle, H. T | - |
dc.contributor.author | Lunde, J. G. S | - |
dc.contributor.author | Marins, A | - |
dc.contributor.author | Nerval, S. K | - |
dc.contributor.author | Paradiso, S | - |
dc.contributor.author | Rahman, Fazlu | - |
dc.contributor.author | San, M | - |
dc.contributor.author | Stutzer, N. O | - |
dc.contributor.author | Wehus, I. K | - |
dc.date.accessioned | 2024-01-09T05:22:38Z | - |
dc.date.available | 2024-01-09T05:22:38Z | - |
dc.date.issued | 2023-10 | - |
dc.identifier.citation | Astronomy and Astrophysics, Volume 678, A169 | en_US |
dc.identifier.issn | 0004-6361 | - |
dc.identifier.uri | http://hdl.handle.net/2248/8323 | - |
dc.description | Open Access | en_US |
dc.description | Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | - |
dc.description.abstract | We implement support for a cosmological parameter estimation algorithm in Commander and quantify its computational efficiency and cost. For a semi-realistic simulation similar to Planck LFI 70 GHz, we find that the computational cost of producing one single sample is about 20 CPU-hours and that the typical Markov chain correlation length is ∼100 samples. The net effective cost per independent sample is ∼2000 CPU-hours, in comparison with all low-level processing costs of 812 CPU-hours for Planck LFI and WMAP in Cosmoglobe Data Release 1. Thus, although technically possible to run already in its current state, future work should aim to reduce the effective cost per independent sample by one order of magnitude to avoid excessive run times, for instance through multi-grid pre-conditioners and/or derivative-based Markov chain sampling schemes. This work demonstrates the computational feasibility of true Bayesian cosmological parameter estimation with end-to-end error propagation for high-precision CMB experiments without likelihood approximations, but it also highlights the need for additional optimizations before it is ready for full production-level analysis. | en_US |
dc.language.iso | en | en_US |
dc.publisher | EDP Sciences | en_US |
dc.relation.uri | https://doi.org/10.1051/0004-6361/202347358 | - |
dc.rights | © The Authors 2023 | - |
dc.subject | Polarization | en_US |
dc.subject | Cosmic background radiation | en_US |
dc.subject | Cosmology | en_US |
dc.subject | Observations | en_US |
dc.title | Cosmoglobe: Towards end-to-end CMB cosmological parameter estimation without likelihood approximations | en_US |
dc.type | Article | en_US |
Appears in Collections: | IIAP Publications |
Files in This Item:
File | Description | Size | Format | |
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Cosmoglobe Towards end-to-end CMB cosmological parameter.pdf | 3.39 MB | Adobe PDF | View/Open |
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