Work

Machine learning constraints on dark matter annihilation during the epoch of reionization: A convolutional neural network analysis of the 21-cm signal

Year: 2025

Type: article

Source: Physical review. D/Physical review. D.

DOI: 10.1103/physrevd.111.083546

Authors: Atsushi J. Nishizawa, Pravin Kumar Natwariya, Kenji Kadota

Institutions: Gifu Shotoku Gakuen University, Nagoya University, International Centre for Theoretical Physics Asia-Pacific, University of Chinese Academy of Sciences

Language: English

Topic: Dark Matter and Cosmic Phenomena

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Japan Society for the Promotion of Science

Awards: Innovative Image Analysis Techniques for Galaxy Imaging, Detailed investigation of the standard cosmological model with large galaxy imaging surveys, G5847793060, Comprehensive understanding of the formation history of structures in the Universe, G8221806559

OpenAlex ID: W4409802191

FWCI: 1.418

Cites: 46

Cited by: 3

Related to: 10