发表机构
NSF’s National Optical-Infrared Astronomy Research Laboratory; INAF - Observatorio Astronomico di Roma; Center for Space Sciences and Technology, UMBC; Astrophysics Science Division, NASA Goddard Space Flight Center; Department of Astronomy, The University of Texas at Austin; Cosmic Frontier Center, The University of Texas at Austin; Department of Astrophysical Sciences, Princeton University; Armagh Observatory and Planetarium; Institute for Astronomy, University of Edinburgh（美国国家光学红外天文研究实验室; 意大利国家天体物理研究所罗马天文台; 马里兰大学巴尔的摩分校太空科学与技术中心; NASA戈达德太空飞行中心天体物理学科学部; 德克萨斯大学奥斯汀分校天文学系; 德克萨斯大学奥斯汀分校宇宙前沿中心; 普林斯顿大学天体物理学科学系; 阿马赫天文台和天文馆; 爱丁堡大学天文学研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究依托JWST CAPERS项目，利用183个高红移星系候选体的光谱数据评估筛选方法，发现采用UV LF先验可将z≥8.5星系证认率提升至约77%，并证认了z=12.98的最高红移源。
AI 中文摘要
JWST/NIRCam成像已能高效筛选出大量甚高红移星系候选体，而准确可靠的筛选对紫外光度函数（UV LF）等统计分析至关重要。文献中已提出多种筛选方法与判据，本研究利用JWST/NIRSpec PRISM项目（CAPERS）获取的183个拥有可靠光谱红移的候选体，对z≥8.5的星系候选体筛选方法展开评估。高红移证认的成功率与探测滤光片中的测光信噪比（SNR）、莱曼α断裂强度，以及最佳拟合低红移与高红移光谱能量分布模型间的Δχ²密切相关。然而，最有效的筛选方法是对源的推断红移概率（p(z)）采用UV LF先验，该方法将成功率从约35%提升至约77%，同时比保守的SNR和Δχ²截断获得更高的完备性。在183个候选体中，我们通过发射线探测和/或莱曼α断裂（对无发射线探测的源尤为重要），光谱证认了48个z≥8.5的源。我们报告CAPERS中最高红移源为UDS-111893，其光谱红移z_spec=12.98，未证认出z>13的源。本研究对z≥8.5的JWST/NIRCam测光筛选进行了光谱学量化，并证明了UV LF先验在高红移测光筛选中的有效性。
英文摘要
JWST/NIRCam imaging has enabled efficient selection of a large number of galaxy candidates at very high redshifts. Accurate and robust selection is crucial for statistical analyses, such as measurement of the ultraviolet luminosity function (UV LF). A variety of selection methods and criteria have been proposed in the literature. We evaluate the selection methodology of galaxy candidates at $z\geq8.5$ using 183 candidates with secure spectroscopic redshifts obtained from the CAPERS JWST/NIRSpec PRISM program. The success of high-$z$ confirmation is strongly correlated with the photometric signal-to-noise ratio (SNR) in the detection filter, the strength of the Lyman-$α$ break, and the $Δχ^2$ between the best-fitting low-redshift and high-redshift spectral energy distribution model. However, the most efficient selection method is the use of a UV LF prior on the inferred $p(z)$ of a source, raising the success rate from $\simeq 35\%$ to $\simeq 77\%$ while achieving greater completeness than conservative SNR and $Δχ^2$ cuts. Out of the 183 candidates we spectroscopically confirm 48 sources at $z\geq8.5$ via detections of emission lines and/or the Lyman-$α$ break (particularly important for those with no emission line detection). We report the highest-redshift source in CAPERS as UDS-111893 at $z_{\mathrm{spec}}=12.98$, with no sources confirmed at $z>13$. This work provides spectroscopic quantification of JWST/NIRCam photometric selection at $z\geq8.5$, and demonstrates the effectiveness of a UV LF prior for high-redshift photometric selection.
Comments24 pages, 16 figures, submitted to ApJL
