Constantin Payerne, William d'Assignies Doumerg, Christophe Yèche, Vanina Ruhlmann-Kleider, Anand Raichoor, Dusting Lang, Jessica Nicole Aguilar, Steven Ahlen, Stéphane Arnouts, Davide Bianchi, David Brooks, Todd Claybaugh, Shaun Cole, Axel de la Macorra, Arjun Dey, Biprateep Dey, Peter Doel, Andreu Font-Ribera, Jaime E. Forero-Romero, Satya Gontcho A. Gontcho, Gaston Gutierrez, Stephen Gwyn, Klaus Honscheid, Stephanie Juneau, Andrew Lambert, Martin Landriau, Laurent Le Guillou, Michael E. Levi, Christophe Magneville, Marc Manera, Aaron Meisner, Ramon Miquel, John Moustakas, Jeffrey A. Newman, Nathalie Palanque-Delabrouille, Will Percival, Vincent Picouet, Francisco Prada, Ignasi Pérez-Ràfols, Graziano Rossi, Eusebio Sanchez, Marcin Sawicki, David Schlegel, Michael Schubnell, David Sprayberry, Gregory Tarlé, Benjamin A. Weaver and Hu Zou
{"title":"高红移Lyman-Break星系在宽频和广域光度测量中的选择","authors":"Constantin Payerne, William d'Assignies Doumerg, Christophe Yèche, Vanina Ruhlmann-Kleider, Anand Raichoor, Dusting Lang, Jessica Nicole Aguilar, Steven Ahlen, Stéphane Arnouts, Davide Bianchi, David Brooks, Todd Claybaugh, Shaun Cole, Axel de la Macorra, Arjun Dey, Biprateep Dey, Peter Doel, Andreu Font-Ribera, Jaime E. Forero-Romero, Satya Gontcho A. Gontcho, Gaston Gutierrez, Stephen Gwyn, Klaus Honscheid, Stephanie Juneau, Andrew Lambert, Martin Landriau, Laurent Le Guillou, Michael E. Levi, Christophe Magneville, Marc Manera, Aaron Meisner, Ramon Miquel, John Moustakas, Jeffrey A. Newman, Nathalie Palanque-Delabrouille, Will Percival, Vincent Picouet, Francisco Prada, Ignasi Pérez-Ràfols, Graziano Rossi, Eusebio Sanchez, Marcin Sawicki, David Schlegel, Michael Schubnell, David Sprayberry, Gregory Tarlé, Benjamin A. Weaver and Hu Zou","doi":"10.1088/1475-7516/2025/05/031","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the possibility of selecting high-redshift Lyman-Break Galaxies (LBG) using current and future broadband wide photometric surveys, such as the Ultraviolet Near Infrared Optical Northern Survey (UNIONS) or the Vera C. Rubin Legacy Survey of Space and Time (LSST), using a Random Forest algorithm. This work is conducted in the context of future large-scale structure spectroscopic surveys like DESI-II, the next phase of the Dark Energy Spectroscopic Instrument (DESI), which will start around 2029. We use deep imaging data from the Hyper Suprime Camera (HSC) and the Canada-France-Hawaii Telescope Large Area U-band Deep Survey (CLAUDS) on the COSMOS and XMM-LSS fields. To predict the selection performance of LBGs with image quality similar to UNIONS, we degrade the u,g,r,i and z bands to UNIONS depth. The Random Forest algorithm is trained with the u,g,r,i and z bands to classify LBGs in the 2.5 < z < 3.5 range. We find that fixing a target density budget of 1,100 deg-2, the Random Forest approach gives a density of z > 2 targets of 873 deg-2, and a density of 493 deg-2 of confirmed LBGs after spectroscopic confirmation with DESI. This UNIONS-like selection was tested in a dedicated spectroscopic observation campaign of 1,000 targets with DESI on the COSMOS field, providing a safe spectroscopic sample with a mean redshift of 3. This sample is used to derive forecasts for DESI-II, assuming a sky coverage of 5,000 deg2. We predict uncertainties on Alcock-Paczynski parameters α⊥ and α∥ to be 0.7% and 1% for 2.6 < z < 3.2, resulting in a potential 2% measurement of the dark energy fraction at high redshift. Additionally, we estimate the uncertainty in local non-Gaussianity and predict σfNL ≈ 7, which would be comparable to the current best precision achieved by Planck. The latter forecast suggests that achieving the precision required to place stringent constraints on inflationary models (σfNL ≈ 1) using spectroscopic galaxy surveys necessitates the development of a next-generation (Stage V) spectroscopic survey.","PeriodicalId":15445,"journal":{"name":"Journal of Cosmology and Astroparticle Physics","volume":"38 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Selection of high-redshift Lyman-Break Galaxies from broadband and wide photometric surveys\",\"authors\":\"Constantin Payerne, William d'Assignies Doumerg, Christophe Yèche, Vanina Ruhlmann-Kleider, Anand Raichoor, Dusting Lang, Jessica Nicole Aguilar, Steven Ahlen, Stéphane Arnouts, Davide Bianchi, David Brooks, Todd Claybaugh, Shaun Cole, Axel de la Macorra, Arjun Dey, Biprateep Dey, Peter Doel, Andreu Font-Ribera, Jaime E. Forero-Romero, Satya Gontcho A. Gontcho, Gaston Gutierrez, Stephen Gwyn, Klaus Honscheid, Stephanie Juneau, Andrew Lambert, Martin Landriau, Laurent Le Guillou, Michael E. Levi, Christophe Magneville, Marc Manera, Aaron Meisner, Ramon Miquel, John Moustakas, Jeffrey A. Newman, Nathalie Palanque-Delabrouille, Will Percival, Vincent Picouet, Francisco Prada, Ignasi Pérez-Ràfols, Graziano Rossi, Eusebio Sanchez, Marcin Sawicki, David Schlegel, Michael Schubnell, David Sprayberry, Gregory Tarlé, Benjamin A. Weaver and Hu Zou\",\"doi\":\"10.1088/1475-7516/2025/05/031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the possibility of selecting high-redshift Lyman-Break Galaxies (LBG) using current and future broadband wide photometric surveys, such as the Ultraviolet Near Infrared Optical Northern Survey (UNIONS) or the Vera C. Rubin Legacy Survey of Space and Time (LSST), using a Random Forest algorithm. This work is conducted in the context of future large-scale structure spectroscopic surveys like DESI-II, the next phase of the Dark Energy Spectroscopic Instrument (DESI), which will start around 2029. We use deep imaging data from the Hyper Suprime Camera (HSC) and the Canada-France-Hawaii Telescope Large Area U-band Deep Survey (CLAUDS) on the COSMOS and XMM-LSS fields. To predict the selection performance of LBGs with image quality similar to UNIONS, we degrade the u,g,r,i and z bands to UNIONS depth. The Random Forest algorithm is trained with the u,g,r,i and z bands to classify LBGs in the 2.5 < z < 3.5 range. We find that fixing a target density budget of 1,100 deg-2, the Random Forest approach gives a density of z > 2 targets of 873 deg-2, and a density of 493 deg-2 of confirmed LBGs after spectroscopic confirmation with DESI. This UNIONS-like selection was tested in a dedicated spectroscopic observation campaign of 1,000 targets with DESI on the COSMOS field, providing a safe spectroscopic sample with a mean redshift of 3. This sample is used to derive forecasts for DESI-II, assuming a sky coverage of 5,000 deg2. We predict uncertainties on Alcock-Paczynski parameters α⊥ and α∥ to be 0.7% and 1% for 2.6 < z < 3.2, resulting in a potential 2% measurement of the dark energy fraction at high redshift. Additionally, we estimate the uncertainty in local non-Gaussianity and predict σfNL ≈ 7, which would be comparable to the current best precision achieved by Planck. The latter forecast suggests that achieving the precision required to place stringent constraints on inflationary models (σfNL ≈ 1) using spectroscopic galaxy surveys necessitates the development of a next-generation (Stage V) spectroscopic survey.\",\"PeriodicalId\":15445,\"journal\":{\"name\":\"Journal of Cosmology and Astroparticle Physics\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cosmology and Astroparticle Physics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1088/1475-7516/2025/05/031\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ASTRONOMY & ASTROPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cosmology and Astroparticle Physics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1088/1475-7516/2025/05/031","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0
摘要
在本文中,我们研究了利用当前和未来的宽带宽光度测量,如紫外近红外光学北方测量(union)或Vera C. Rubin遗留时空测量(LSST),使用随机森林算法选择高红移Lyman-Break星系(LBG)的可能性。这项工作是在未来大规模结构光谱调查的背景下进行的,如DESI- ii,这是暗能量光谱仪器(DESI)的下一阶段,将于2029年左右开始。我们利用超级超级相机(HSC)和加拿大-法国-夏威夷望远镜大面积u波段深巡天(CLAUDS)对COSMOS和XMM-LSS场的深成像数据。为了预测图像质量与union相似的lbg的选择性能,我们将u,g,r,i和z波段降低到union深度。随机森林算法使用u、g、r、i和z波段进行训练,对2.5 < z < 3.5范围内的lbg进行分类。我们发现,固定目标密度预算为1100度-2,随机森林方法得到的z bbbb2目标密度为873度-2,用DESI进行光谱确认后确定的lbg密度为493度-2。这种类似于union的选择在COSMOS场上用DESI对1000个目标进行了专门的光谱观测活动中进行了测试,提供了平均红移为3的安全光谱样品。该样本用于推导DESI-II的预报,假设天空覆盖面积为5,000°2。我们预测Alcock-Paczynski参数α⊥和α∥在2.6 < z < 3.2时的不确定性分别为0.7%和1%,从而在高红移处测量暗能量分数的可能性为2%。此外,我们估计了局部非高斯的不确定性,并预测了σfNL≈7,这将与目前普朗克所达到的最佳精度相当。后一种预测表明,利用光谱星系巡天实现对暴胀模型(σfNL≈1)施加严格约束所需的精度,需要发展下一代(阶段V)光谱巡天。
Selection of high-redshift Lyman-Break Galaxies from broadband and wide photometric surveys
In this paper, we investigate the possibility of selecting high-redshift Lyman-Break Galaxies (LBG) using current and future broadband wide photometric surveys, such as the Ultraviolet Near Infrared Optical Northern Survey (UNIONS) or the Vera C. Rubin Legacy Survey of Space and Time (LSST), using a Random Forest algorithm. This work is conducted in the context of future large-scale structure spectroscopic surveys like DESI-II, the next phase of the Dark Energy Spectroscopic Instrument (DESI), which will start around 2029. We use deep imaging data from the Hyper Suprime Camera (HSC) and the Canada-France-Hawaii Telescope Large Area U-band Deep Survey (CLAUDS) on the COSMOS and XMM-LSS fields. To predict the selection performance of LBGs with image quality similar to UNIONS, we degrade the u,g,r,i and z bands to UNIONS depth. The Random Forest algorithm is trained with the u,g,r,i and z bands to classify LBGs in the 2.5 < z < 3.5 range. We find that fixing a target density budget of 1,100 deg-2, the Random Forest approach gives a density of z > 2 targets of 873 deg-2, and a density of 493 deg-2 of confirmed LBGs after spectroscopic confirmation with DESI. This UNIONS-like selection was tested in a dedicated spectroscopic observation campaign of 1,000 targets with DESI on the COSMOS field, providing a safe spectroscopic sample with a mean redshift of 3. This sample is used to derive forecasts for DESI-II, assuming a sky coverage of 5,000 deg2. We predict uncertainties on Alcock-Paczynski parameters α⊥ and α∥ to be 0.7% and 1% for 2.6 < z < 3.2, resulting in a potential 2% measurement of the dark energy fraction at high redshift. Additionally, we estimate the uncertainty in local non-Gaussianity and predict σfNL ≈ 7, which would be comparable to the current best precision achieved by Planck. The latter forecast suggests that achieving the precision required to place stringent constraints on inflationary models (σfNL ≈ 1) using spectroscopic galaxy surveys necessitates the development of a next-generation (Stage V) spectroscopic survey.
期刊介绍:
Journal of Cosmology and Astroparticle Physics (JCAP) encompasses theoretical, observational and experimental areas as well as computation and simulation. The journal covers the latest developments in the theory of all fundamental interactions and their cosmological implications (e.g. M-theory and cosmology, brane cosmology). JCAP''s coverage also includes topics such as formation, dynamics and clustering of galaxies, pre-galactic star formation, x-ray astronomy, radio astronomy, gravitational lensing, active galactic nuclei, intergalactic and interstellar matter.