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Reverse Monte Carlo Modelling in Reduced Dimensions — arXiv:2610.20622

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.20622
License (as archived): CC0-1.0
Archived: 2026-10-16T10:28:20.371Z
SHA-256 of the archived text: 1094c4aa2c9d08c52d466b3181c1f28cb6b7deb58f9e17baff85a21da29b90fe
Stable URL of this page: https://metraipolis.com/documento/dc_3f52c1935761

How to cite

Reverse Monte Carlo Modelling in Reduced Dimensions — arXiv:2610.20622 — arXiv (en), https://arxiv.org/abs/2610.20622 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_3f52c1935761 (Metraipolis archive dc_3f52c1935761, sha256 1094c4aa2c9d08c52d466b3181c1f28cb6b7deb58f9e17baff85a21da29b90fe)

BibTeX

@misc{dc3f52c1935761,
  title = {Reverse Monte Carlo Modelling in Reduced Dimensions — arXiv:2610.20622},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.20622},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_3f52c1935761; sha256 1094c4aa2c9d08c52d466b3181c1f28cb6b7deb58f9e17baff85a21da29b90fe},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.20622. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Physical experiments frequently result in inverse problems, where the recorded response is used to deduce information about the sample, typically yielding only partial recovery. This work presents a reverse Monte Carlo modeling method for solving such problems involving statistical averaging, e.g. at the nanoscale. The proposed algorithm operates in an input subspace of the forward problem, with dimensions reduced from those of the original input space. The dimensionality reduction focuses on features that influence the response, as irrelevant information is lost in the process. We first study the performance of the method in tailored test cases that also reveal information loss when several input characteristics produce similar responses. Finally, we apply the method to a previously published simulated dataset of X-ray absorption, X-ray emission, and X-ray photoelectron spectra of the water molecule.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv stat.CO, nuovi lavori del giorno).
Categorie arXiv: Computation (stat.CO).
Pagina del lavoro: https://arxiv.org/abs/2610.20622 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T08:49:32.847Z dalla pagina https://arxiv.org/list/stat.CO/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).