Unveiling Hidden Lyman Alpha Emitters in the DESI DR1 Data

Name: Unveiling Hidden Lyman Alpha Emitters in the DESI DR1 Data
Uploaded: 2026-10-21T11:47:38.878409+00:00
Duration: 528 s
Description: A machine-learning Convolutional Neural Network (CNN) was developed to automatically detect Lyman alpha emitters (LAEs) in DESI Data Release 1 spectra, which are crucial for studying high-redshift galaxies. The model achieved 95.2% purity and 95.9% completeness, successfully finding over 19,000 LAEs at redshifts between z~2 and z~3.5.

A machine-learning Convolutional Neural Network (CNN) was developed to automatically detect Lyman alpha emitters (LAEs) in DESI Data Release 1 spectra, which are crucial for studying high-redshift galaxies. The model achieved 95.2% purity and 95.9% completeness, successfully finding over 19,000 LAEs at redshifts between z~2 and z~3.5.

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