Bibcode
Brodzeller, A.; Wolfson, M.; Santos, D. M.; Ho, M.; Tan, T.; Pieri, M. M.; Cuceu, A.; Abdul-Karim, M.; Aguilar, J.; Ahlen, S.; Anand, A.; Andrade, U.; Armengaud, E.; Aviles, A.; Bailey, S.; Bault, A.; Bianchi, D.; Brooks, D.; Canning, R.; Casas, L.; Charles, M.; Chaussidon, E.; Chaves-Montero, J.; Chebat, D.; Claybaugh, T.; Dawson, K. S.; de Belsunce, R.; de la Macorra, A.; de Mattia, A.; Dey, Arjun; Dey, Biprateep; Doel, P.; Doshi, M.; Elbers, W.; Ferraro, S.; Font-Ribera, A.; Forero-Romero, J. E.; Garcia-Quintero, C.; Garrison, L. H.; Gaztañaga, E.; Gontcho A Gontcho, S.; Gonzalez-Morales, A. X.; Green, D.; Gutierrez, G.; Guy, J.; Hahn, C.; Herbold, M.; Herrera-Alcantar, H. K.; Honscheid, K.; Howlett, C.; Huterer, D.; Ishak, M.; Juneau, S.; Kehoe, R.; Kisner, T.; Kremin, A.; Lahav, O.; Lamman, C.; Landriau, M.; Le Goff, J. M.; Le Guillou, L.; Leauthaud, A.; Levi, M. E.; Li, Q.; Manera, M.; Martini, P.; Meisner, A.; Mena-Fernández, J.; Miquel, R.; Moustakas, J.; Muñoz-Gutiérrez, A.; Myers, A. D.; Nadathur, S.; Napolitano, L.; Noriega, H. E.; Paillas, E.; Palanque-Delabrouille, N.; Percival, W. J.; Poppett, C.; Prada, F.; Pérez-Ràfols, I.; Ramírez-Pérez, C.; Ravoux, C.; Rohlf, J.; Rossi, G.; Sanchez, E.; Schlegel, D.; Schubnell, M.; Sinigaglia, F.; Sprayberry, D.; Tarlé, G.; Taylor, P.; Turner, W.; Walther, M.; Weaver, B. A.; Yèche, C.; Zhou, R.; Zou, H.; Zou, S.; DESI Collaboration
Referencia bibliográfica
Physical Review D
Fecha de publicación:
10
2025
Revista
Número de citas
0
Número de citas referidas
0
Descripción
We present the Damped Lyα Toolkit for automated detection and characterization of damped Ly$\alpha$ absorbers (DLAs) in quasar spectra. Our method uses quasar spectral templates with and without absorption from intervening DLAs to reconstruct observed quasar forest regions. The best-fitting model determines whether a DLA is present while estimating the redshift and HI column density. With an optimized quality cut on detection significance ($\Delta$$\chi$r2>0.03), the technique achieves an estimated 80% purity and 79% completeness when evaluated on simulated spectra with S/N>2 that are free of broad absorption lines (BALs). We provide a catalog containing candidate DLAs from the DLA Toolkit detected in DESI DR1 quasar spectra, of which 21 719 were found in S/N>2 spectra with predicted log10(NHI)>20.3 and detection significance Δχr2>0.03. We compare the Damped Lyα Toolkit to two alternative DLA finders based on a convolutional neural network and Gaussian process models. We present a strategy for combining these three techniques to produce a high-fidelity DLA catalog from DESI DR2 for the Lyα forest baryon acoustic oscillation measurement. The combined catalog contains 41 152 candidate DLAs with log10(NHI)>20.3 from quasar spectra with S/N>2. We estimate this sample to be approximately 85% pure and 79% complete when BAL quasars are excluded.