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Highly Efficient Selection of High-Redshift Emission-Line Galaxies for future DESI-like surveys with Deep Multi-band Imaging

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Hernandez, Yoquelbin Salcedo, Newman, Jeffrey A., Andrews, Brett. H., Dey, Biprateep, Zhou, Rongpu., Sailer, Noah, Aguilar, J., Ahlen, S., Bianchi, D., Brooks, D., Canning, R., Castander, F. J., Chaussidon, E., Claybaugh, T., Cuceu, A., de la Macorra, A., Dey, Arjun, Doel, P., Ferraro, S., Font-Ribera, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S. Gontcho A, Gutierrez, G., Herrera-Alcantar, H. K., Joyce, R., Juneau, S., Kehoe, R., Kirkby, D., Kisner, T., Kremin, A., Lahav, O., Lamman, C., Landriau, M., Levi, M. E., Manera, M., Meisner, A., Miquel, R., Moustakas, J., Nadathur, S., Palanque-Delabrouille, N., Percival, W. J., Prada, F., Pérez-Ràfols, I., Raichoor, A., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M., Seo, H., Silber, J., Sprayberry, D., Tarlé, G., Weaver, B. A., Yèche, C., Zou, H.
Formato:	Preprint
Publicado:	2026
Materias:	Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

_version_	1866915813044256768
author	Hernandez, Yoquelbin Salcedo Newman, Jeffrey A. Andrews, Brett. H. Dey, Biprateep Zhou, Rongpu. Sailer, Noah Aguilar, J. Ahlen, S. Bianchi, D. Brooks, D. Canning, R. Castander, F. J. Chaussidon, E. Claybaugh, T. Cuceu, A. de la Macorra, A. Dey, Arjun Doel, P. Ferraro, S. Font-Ribera, A. Forero-Romero, J. E. Gaztañaga, E. Gontcho, S. Gontcho A Gutierrez, G. Herrera-Alcantar, H. K. Joyce, R. Juneau, S. Kehoe, R. Kirkby, D. Kisner, T. Kremin, A. Lahav, O. Lamman, C. Landriau, M. Levi, M. E. Manera, M. Meisner, A. Miquel, R. Moustakas, J. Nadathur, S. Palanque-Delabrouille, N. Percival, W. J. Prada, F. Pérez-Ràfols, I. Raichoor, A. Rossi, G. Sanchez, E. Schlegel, D. Schubnell, M. Seo, H. Silber, J. Sprayberry, D. Tarlé, G. Weaver, B. A. Yèche, C. Zou, H.
author_facet	Hernandez, Yoquelbin Salcedo Newman, Jeffrey A. Andrews, Brett. H. Dey, Biprateep Zhou, Rongpu. Sailer, Noah Aguilar, J. Ahlen, S. Bianchi, D. Brooks, D. Canning, R. Castander, F. J. Chaussidon, E. Claybaugh, T. Cuceu, A. de la Macorra, A. Dey, Arjun Doel, P. Ferraro, S. Font-Ribera, A. Forero-Romero, J. E. Gaztañaga, E. Gontcho, S. Gontcho A Gutierrez, G. Herrera-Alcantar, H. K. Joyce, R. Juneau, S. Kehoe, R. Kirkby, D. Kisner, T. Kremin, A. Lahav, O. Lamman, C. Landriau, M. Levi, M. E. Manera, M. Meisner, A. Miquel, R. Moustakas, J. Nadathur, S. Palanque-Delabrouille, N. Percival, W. J. Prada, F. Pérez-Ràfols, I. Raichoor, A. Rossi, G. Sanchez, E. Schlegel, D. Schubnell, M. Seo, H. Silber, J. Sprayberry, D. Tarlé, G. Weaver, B. A. Yèche, C. Zou, H.
contents	Emission-line galaxies (ELGs) are an important tracer of baryon acoustic oscillations (BAO) and large-scale structure (LSS) at $z > 1$. In this work, we investigate the feasibility of using deep wide-area multi-band imaging (e.g., from the Rubin Observatory) to efficiently select high redshift ELGs. Using Hyper Supreme-Cam $grizy$ photometry and COSMOS2020 many-band photometric redshifts, we designed simple color cuts guided by a probabilistic random forest classifier to select galaxies at $z = 1.1$--$1.6$. We then empirically tested and refined these color cuts using two samples of galaxies with deep spectroscopy and broad color coverage obtained with the Dark Energy Spectroscopic Instrument (DESI). Compared to DESI ELGs at $z = 1.1$--$1.6$, we achieve a higher redshift measurement success rate (89% versus 69%), a much higher correct redshift range success rate (84% versus 34%), and a far higher net surface density yield (1372 $\mathrm{deg^{-2}}$ versus 660 $\mathrm{deg^{-2}}$). Combining our sample with current DESI ELGs would increase the net ELG number density by a factor of $\sim3$, moving it out of the shot-noise limited regime and reducing the uncertainties on the BAO scale parameter at $z = 1.1$--$1.6$ by a factor of $\sim 2$.
format	Preprint
id	arxiv_https___arxiv_org_abs_2602_20405
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	Highly Efficient Selection of High-Redshift Emission-Line Galaxies for future DESI-like surveys with Deep Multi-band Imaging Hernandez, Yoquelbin Salcedo Newman, Jeffrey A. Andrews, Brett. H. Dey, Biprateep Zhou, Rongpu. Sailer, Noah Aguilar, J. Ahlen, S. Bianchi, D. Brooks, D. Canning, R. Castander, F. J. Chaussidon, E. Claybaugh, T. Cuceu, A. de la Macorra, A. Dey, Arjun Doel, P. Ferraro, S. Font-Ribera, A. Forero-Romero, J. E. Gaztañaga, E. Gontcho, S. Gontcho A Gutierrez, G. Herrera-Alcantar, H. K. Joyce, R. Juneau, S. Kehoe, R. Kirkby, D. Kisner, T. Kremin, A. Lahav, O. Lamman, C. Landriau, M. Levi, M. E. Manera, M. Meisner, A. Miquel, R. Moustakas, J. Nadathur, S. Palanque-Delabrouille, N. Percival, W. J. Prada, F. Pérez-Ràfols, I. Raichoor, A. Rossi, G. Sanchez, E. Schlegel, D. Schubnell, M. Seo, H. Silber, J. Sprayberry, D. Tarlé, G. Weaver, B. A. Yèche, C. Zou, H. Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics Emission-line galaxies (ELGs) are an important tracer of baryon acoustic oscillations (BAO) and large-scale structure (LSS) at $z > 1$. In this work, we investigate the feasibility of using deep wide-area multi-band imaging (e.g., from the Rubin Observatory) to efficiently select high redshift ELGs. Using Hyper Supreme-Cam $grizy$ photometry and COSMOS2020 many-band photometric redshifts, we designed simple color cuts guided by a probabilistic random forest classifier to select galaxies at $z = 1.1$--$1.6$. We then empirically tested and refined these color cuts using two samples of galaxies with deep spectroscopy and broad color coverage obtained with the Dark Energy Spectroscopic Instrument (DESI). Compared to DESI ELGs at $z = 1.1$--$1.6$, we achieve a higher redshift measurement success rate (89% versus 69%), a much higher correct redshift range success rate (84% versus 34%), and a far higher net surface density yield (1372 $\mathrm{deg^{-2}}$ versus 660 $\mathrm{deg^{-2}}$). Combining our sample with current DESI ELGs would increase the net ELG number density by a factor of $\sim3$, moving it out of the shot-noise limited regime and reducing the uncertainties on the BAO scale parameter at $z = 1.1$--$1.6$ by a factor of $\sim 2$.
title	Highly Efficient Selection of High-Redshift Emission-Line Galaxies for future DESI-like surveys with Deep Multi-band Imaging
topic	Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
url	https://arxiv.org/abs/2602.20405