Kavli Affiliate: John Silverman
| Summary:
We present the reduction and source catalogs for the textitCOSMOS 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 $langle z_1.2 text mmrangle = 2.54^+0.89_-1.69$ based on optical/near-IR/mid-IR photometric redshifts and high-quality spectroscopic redshifts, and hold a median stellar mass of $langlelog (rm M_star/M_odot)rangle = 10.79^+0.42_-3.08$. We have further identified 68/376 ($sim18%$) sources as candidate AGN through X-ray, UV-optical, infrared and radio selection techniques.
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