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arXiv 2410.08062astro-ph.CO
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从宽带和宽视场测光巡天中筛选高红移莱曼断裂星系

Selection of high-redshift Lyman-Break Galaxies from broadband and wide photometric surveys

C. Payerne, W. d'Assignies Doumerg, C. Yèche, V. Ruhlmann-Kleider, A. Raichoor, D. Lang, J. N. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, S. Cole, … 展开作者

C. Payerne, W. d'Assignies Doumerg, C. Yèche, V. Ruhlmann-Kleider, A. Raichoor, D. Lang, J. N. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, S. Cole, A. de la Macorra, A. Dey, B. Dey, P. Doel, A. Font-Ribera, J. E. Forero-Romero, S. Gontcho A Gontcho, G. Gutierrez, S. Gwyn, K. Honscheid, S. Juneau, A. Lambert, M. Landriau, L. Le Guillou, M. E. Levi, C. Magneville, M. Manera, A. Meisner, R. Miquel, J. Moustakas, J. A. Newman, N. Palanque-Delabrouille, W. Percival, V. Picouet, F. Prada, I. Pérez-Ràfols, G. Rossi, E. Sanchez, M. Sawicki, D. Schlegel, M. Schubnell, D. Sprayberry, G. Tarlé, B. A. Weaver, H. Zou

AI总结:

本文研究利用 UNIONS 等宽带测光巡天结合随机森林算法筛选高红移莱曼断裂星系,并通过 DESI 光谱验证和预测 DESI-II 对暗能量及局部非高斯性的测量精度。

摘要:

在本文中,我们研究了利用当前和未来的宽带宽视场测光巡天(如 UNIONS 或 Vera C. Rubin LSST)筛选高红移莱曼断裂星系(LBG)的可能性。这项工作是在 DESI-II 的背景下开展的,DESI-II 是 DESI 的下一阶段,将于 2029 年左右开始。我们使用来自 HSC 和 CLAUDS 在 COSMOS 和 XMM-LSS 天区的深度成像数据。为了预测在图像质量与 UNIONS 相似的情况下 LBG 的筛选性能,我们将 $u, g, r, i$ 和 $z$ 波段退化至 UNIONS 深度。使用 $u,g,r,i$ 和 $z$ 波段训练随机森林(Random Forest)算法,以对 $2.5 < z < 3.5$ 范围内的 LBG 进行分类。我们发现,在固定目标密度预算为 $1,100$ deg$^{-2}$ 的情况下,随机森林方法给出的 $z>2$ 目标密度为 $873$ deg$^{-2}$,经 DESI 光谱证认后确认的 LBG 密度为 $493$ deg$^{-2}$。这种类 UNIONS 的筛选方法在 COSMOS 天区使用 DESI 对 1,000 个目标进行的专门光谱观测活动中得到了检验,提供了一个平均红移为 3 的安全光谱样本。该样本被用于推导 DESI-II 的预测,假设天空覆盖面积为 5,000 deg$^2$。我们预测在 $2.6<z<3.2$ 范围内 Alcock-Paczynski 参数 $α_\perp$ 和 $α_{\parallel}$ 的不确定度分别为 0.7$\\%$ 和 1$\\%$,从而有可能在高红移处实现暗能量占比的 2$\\%$ 测量。此外,我们估计了局部非高斯性的不确定度,并预测 $σ_{f_{\rm NL}}\approx 7$,这将与 \textit{Planck} 目前达到的最佳精度相当。后一项预测表明,要利用光谱星系巡天达到对暴胀模型施加严格约束所需的精度($σ_{f_{\rm NL}} \approx 1$),就必须发展下一代(Stage V)光谱巡天。

英文摘要:

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 UNIONS or the Vera C. Rubin LSST. This work is conducted in the context of DESI-II, the next phase of DESI, which will start around 2029. We use deep imaging data from HSC and 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 deg$^2$. We predict uncertainties on Alcock-Paczynski parameters $α_\perp$ and $α_{\parallel}$ 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 $σ_{f_{\rm NL}}\approx 7$, which would be comparable to the current best precision achieved by \textit{Planck}. The latter forecast suggests that achieving the precision required to place stringent constraints on inflationary models ($σ_{f_{\rm NL}} \approx 1$) using spectroscopic galaxy surveys necessitates the development of a next-generation (Stage V) spectroscopic survey.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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