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18 April 2024
 
  » arxiv » 1101.1517

 Article overview


Correlations in the (Sub)millimeter background from ACTxBLAST
Amir Hajian ; Marco P. Viero ; Graeme Addison ; Paula Aguirre ; John William Appel ; Nick Battaglia ; James J. Bock ; J. Richard Bond ; Sudeep Das ; Mark J. Devlin ; Simon R. Dicker ; Joanna Dunkley ; Rolando Dunner ; Thomas Essinger-Hileman ; John P. Hughes ; Joseph W. Fowler ; Mark Halpern ; Matthew Hasselfield ; Matt Hilton ; Adam D. Hincks ; Renee Hlozek ; Kent D. Irwin ; Jeff Klein ; Arthur Kosowsky ; Yen-Ting Lin ; Tobias A. Marriage ; Danica Marsden ; Gaelen Marsden ; Felipe Menanteau ; Lorenzo Moncelsi ; Kavilan Moodley ; Calvin B. Netterfield ; Michael D. Niemack ; Michael R. Nolta ; Lyman A. Page ; Lucas Parker ; Douglas Scott ; Neelima Sehgal ; Jon Sievers ; David N. Spergel ; Suzanne T. Staggs ; Daniel S. Swetz ; Eric R. Switzer ; Robert Thornton ; Ed Wollack ;
Date Fri, 7 Jan 2011 20:32:10 GMT (1844kb)
AbstractWe present measurements of the auto- and cross-frequency correlation power spectra of the cosmic (sub)millimeter background at: 250, 350, and 500 um (1200, 860, and 600 GHz) from observations made with the Balloon-borne Large Aperture Submillimeter Telescope, BLAST; and at 1380 and 2030 um (218 and 148 GHz) from observations made with the Atacama Cosmology Telescope, ACT. The overlapping observations cover 8.6 deg^2 in an area relatively free of Galactic dust near the south ecliptic pole (SEP). The ACT bands are sensitive to radiation from the CMB, the Sunyaev-Zel’dovich (SZ) effect from galaxy clusters, and to emission by radio and dusty star-forming galaxies (DSFGs), while the dominant contribution to the BLAST bands is from DSFGs. We confirm and extend the BLAST analysis of clustering with an independent pipeline, and also detect correlations between the ACT and BLAST maps at over 25sigma significance, which we interpret as a detection of the DSFGs in the ACT maps. In addition to a Poisson component in the cross-frequency power spectra, we detect a clustered signal at >4sigma, and using a model for the DSFG evolution and number counts, we successfully fit all our spectra with a linear clustering model and a bias that depends only on redshift and not on scale. Finally, the data are compared to, and generally agree with, phenomenological models for the DSFG population. This study represents a first of its kind, and demonstrates the constraining power of the cross-frequency correlation technique to constrain models for the DSFGs. Similar analyses with more data will impose tight constraints on future models.
Source arXiv, 1101.1517
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