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Autores principales: Murakami, Koya, Nishizawa, Atsushi J., Nagamine, Kentaro, Shimizu, Ikko
Formato: Preprint
Publicado: 2023
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Acceso en línea:https://arxiv.org/abs/2305.01256
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author Murakami, Koya
Nishizawa, Atsushi J.
Nagamine, Kentaro
Shimizu, Ikko
author_facet Murakami, Koya
Nishizawa, Atsushi J.
Nagamine, Kentaro
Shimizu, Ikko
contents We present an innovative approach to constraining the non-cold dark matter model using a convolutional neural network (CNN). We perform a suite of hydrodynamic simulations with varying dark matter particle masses and generate mock 21cm radio intensity maps to trace the dark matter distribution. Our proposed method complements the traditional power spectrum analysis. We compare our CNN classification results with those from the power spectrum of the differential brightness temperature map of 21cm radiation, and find that the CNN outperforms the latter. Moreover, we investigate the impact of baryonic physics on the dark matter model constraint, including star formation, self-shielding of HI gas, and UV background model. We find that these effects may introduce some contamination in the dark matter constraint, but they are insignificant when compared to the realistic system noise of the SKA instruments.
format Preprint
id arxiv_https___arxiv_org_abs_2305_01256
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Impact of astrophysical effects on the dark matter mass constraint with 21cm intensity mapping
Murakami, Koya
Nishizawa, Atsushi J.
Nagamine, Kentaro
Shimizu, Ikko
Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
We present an innovative approach to constraining the non-cold dark matter model using a convolutional neural network (CNN). We perform a suite of hydrodynamic simulations with varying dark matter particle masses and generate mock 21cm radio intensity maps to trace the dark matter distribution. Our proposed method complements the traditional power spectrum analysis. We compare our CNN classification results with those from the power spectrum of the differential brightness temperature map of 21cm radiation, and find that the CNN outperforms the latter. Moreover, we investigate the impact of baryonic physics on the dark matter model constraint, including star formation, self-shielding of HI gas, and UV background model. We find that these effects may introduce some contamination in the dark matter constraint, but they are insignificant when compared to the realistic system noise of the SKA instruments.
title Impact of astrophysical effects on the dark matter mass constraint with 21cm intensity mapping
topic Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
url https://arxiv.org/abs/2305.01256