HerMES: Cosmic Infrared Background Anisotropies and the Clustering of Dusty Star-Forming Galaxies
M. P. Viero, L. Wang, M. Zemcov, G. Addison, A. Amblard, V. Arumugam,, H. Aussel, M. Bethermin, J. Bock, A. Boselli, V. Buat, D. Burgarella, C. M., Casey, D. L. Clements, A. Conley, L. Conversi, A. Cooray, G. De Zotti, C. D., Dowell, D. Farrah, A. Franceschini, J. Glenn

TL;DR
This study measures the anisotropies of the cosmic infrared background at multiple wavelengths, revealing galaxy clustering properties and their dependence on halo mass, and interprets these findings with a halo model to understand star formation efficiency.
Contribution
It provides new evidence of flux-dependent clustering and develops a halo model linking luminosity to halo mass to explain CIB anisotropies and galaxy distribution.
Findings
Detection of 14% fractional anisotropy in CIB
Identification of the transition from 2-halo to 1-halo regimes at specific angular scales
Best-fit halo mass for peak star formation activity around 10^12.1 solar masses
Abstract
We present measurements of the auto- and cross-frequency power spectra of the cosmic infrared background (CIB) at 250, 350, and 500um (1200, 860, and 600 GHz) from observations totaling ~ 70 deg^2 made with the SPIRE instrument aboard the Herschel Space Observatory. We measure a fractional anisotropy dI / I = 14 +- 4%, detecting signatures arising from the clustering of dusty star-forming galaxies in both the linear (2-halo) and non-linear (1-halo) regimes; and that the transition from the 2- to 1-halo terms, below which power originates predominantly from multiple galaxies within dark matter halos, occurs at k_theta ~ 0.1 - 0.12 arcmin^-1 (l ~ 2160 - 2380), from 250 to 500um. New to this paper is clear evidence of a dependence of the Poisson and 1-halo power on the flux-cut level of masked sources --- suggesting that some fraction of the more luminous sources occupy more massive halos…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
