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pro vyhledávání: '"Doeser, Ludvig"'
$N$-body simulations are computationally expensive, so machine-learning (ML)-based emulation techniques have emerged as a way to increase their speed. Although fast, surrogate models have limited trustworthiness due to potentially substantial emulati
Externí odkaz:
http://arxiv.org/abs/2409.02154
Autor:
Doeser, Ludvig, Jamieson, Drew, Stopyra, Stephen, Lavaux, Guilhem, Leclercq, Florent, Jasche, Jens
Publikováno v:
Monthly Notices of the Royal Astronomical Society, Volume 535, Issue 2, December 2024, Pages 1258-1277
Analysing next-generation cosmological data requires balancing accurate modeling of non-linear gravitational structure formation and computational demands. We propose a solution by introducing a machine learning-based field-level emulator, within the
Externí odkaz:
http://arxiv.org/abs/2312.09271
Akademický článek
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Autor:
Doeser, Ludvig
This thesis aims at using novel machine learning techniques to test the dynamics of the Universe via the cosmological redshift-distance test. Currently, one of the most outstanding questions in cosmology is the physical cause of the accelerating cosm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3efc0d0e9033664010ea5dc0f445910d
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297644
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297644
Autor:
Rydving, Erik, Doeser, Ludvig
Den senaste teknologiska utvecklingen har gjort det möjligt att miniatyrisera optiska komponenter ner på ett fotoniskt integrerat kretskort. Sammankopplingen mellan olika komponenter möjliggörs av vågledare, i vilka informationsbäraren, en ensk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d9bc6610969ba677f3ecc01f28b00134
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254771
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254771