发表机构
Rochester Institute of Technology; Caltech/IPAC; The University of Washington; University of Massachusetts Amherst; University of California, Santa Barbara; Cosmic Dawn Center (DAWN); The University of Texas at（罗切斯特理工学院; 加州理工学院/IPAC; 华盛顿大学; 马萨诸塞大学阿默斯特分校; 加利福尼亚大学圣塔芭芭拉分校; 宇宙黎明中心(DAWN); 德克萨斯大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
CHAMPS是迄今最大的ALMA空白场巡天，覆盖0.2平方度，通过盲搜索和先验搜索识别出3355个1.2毫米尘埃星系，其中376个高信噪比源构成稳健科学样本，并识别出约18%的候选AGN。
AI 中文摘要
我们介绍了《COSMOS高红移ALMA-MIRI星系巡天》（CHAMPS）的降噪处理与源表，这是迄今为止在0.2平方度天区上进行的最大规模阿塔卡马大型（亚）毫米波阵列（ALMA）空白场巡天。观测频率中心为250吉赫（1.2毫米），带宽为7.5吉赫，CHAMPS覆盖了COSMOS天区中的JWST/NIRCam+MIRI足迹，充分利用了COSMOS中从X射线到射电的丰富多波段辅助数据。CHAMPS巡天的大部分区域（90%）深度达到或低于200微央/波束，平均均方根噪声为146微央/波束。处理后的CHAMPS拼接图像波束大小为θ_res = 1.1角秒 × 1.1角秒。CHAMPS通过两种探测方法识别源：一种是对高信噪比源的盲搜索，另一种是基于MIRI探测的先验搜索以识别暗弱源。盲搜索共获得595个源，信噪比≥4.5σ；先验源表共获得3162个源，信噪比≥3σ，两个源表合并后共得到3355个独立探测的独特天体。我们在两个源表中识别出385个信噪比≥5σ的独特源；在排除9个可能虚假的边缘探测后，我们定义了一个包含376个信噪比≥5σ源的稳健科学样本。这些源基于光学/近红外/中红外测光红移和高质量光谱红移，其红移中位数为⟨z_1.2毫米⟩ = 2.54^{+0.89}_{-1.69}，恒星质量中位数为⟨log(M_星/M_太阳)⟩ = 10.79^{+0.42}_{-3.08}。我们进一步通过X射线、紫外-光学、红外和射电选择技术，将68/376（约18%）个源识别为候选活动星系核（AGN）。
英文摘要
We present the reduction and source catalogs for the \textit{COSMOS High-$z$ ALMA-MIRI Population Survey} (CHAMPS), the largest Atacama Large (Sub)Millimeter Array (ALMA) blank field survey to date at 0.2\,deg$^2$. With observing frequency centered at $250\, $GHz ($1.2\,$mm) and bandwidth of 7.5 GHz, CHAMPS covers the JWST/NIRCam+MIRI footprint in the COSMOS field, taking advantage of the rich, multiwavelength ancillary datasets in COSMOS ranging from X-ray to radio. The majority of the CHAMPS survey (90$\%$) has depths at or below 200 $μ$Jy beam$^{-1}$ and with an average RMS of 146 $μ$Jy beam$^{-1}$. The reduced CHAMPS mosaic has a beam size of $θ_{\rm res} = 1.1'' \times 1.1''$. CHAMPS identifies sources via two detection methods, a blind search for high-SNR sources, and a prior-based search involving MIRI detections to identify faint sources. The blind search yields a total of 595 sources down to an SNR $\ge4.5σ$ while the prior catalog yields a total of 3162 source down to an SNR $\ge3σ$, leading to a full sample of 3355 unique objects detected across both catalogs. We identify a unique population of 385 SNR $\ge5σ$ sources across the two catalogs; after excluding 9 likely spurious edge detections we define a robust science sample of 376 sources above $\ge5σ$. These sources have a median redshift of $\langle z_{1.2 \text{ mm}}\rangle = 2.54^{+0.89}_{-1.69}$ based on optical/near-IR/mid-IR photometric redshifts and high-quality spectroscopic redshifts, and hold a median stellar mass of $\langle\log (\rm M_\star/M_\odot)\rangle = 10.79^{+0.42}_{-3.08}$. We have further identified 68/376 ($\sim18\%$) sources as candidate AGN through X-ray, UV-optical, infrared and radio selection techniques.
