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dc.contributor.author | Ade P. | |
dc.contributor.author | Aghanim N. | |
dc.contributor.author | Arnaud M. | |
dc.contributor.author | Aumont J. | |
dc.contributor.author | Baccigalupi C. | |
dc.contributor.author | Banday A. | |
dc.contributor.author | Barreiro R. | |
dc.contributor.author | Bartlett J. | |
dc.contributor.author | Bartolo N. | |
dc.contributor.author | Battaner E. | |
dc.contributor.author | Benabed K. | |
dc.contributor.author | Benoit-Lévy A. | |
dc.contributor.author | Bernard J. | |
dc.contributor.author | Bersanelli M. | |
dc.contributor.author | Bielewicz P. | |
dc.contributor.author | Bock J. | |
dc.contributor.author | Bonaldi A. | |
dc.contributor.author | Bonavera L. | |
dc.contributor.author | Bond J. | |
dc.contributor.author | Borrill J. | |
dc.contributor.author | Bouchet F. | |
dc.contributor.author | Burigana C. | |
dc.contributor.author | Butler R. | |
dc.contributor.author | Calabrese E. | |
dc.contributor.author | Catalano A. | |
dc.contributor.author | Chamballu A. | |
dc.contributor.author | Chiang H. | |
dc.contributor.author | Christensen P. | |
dc.contributor.author | Churazov E. | |
dc.contributor.author | Clements D. | |
dc.contributor.author | Colombo L. | |
dc.contributor.author | Combet C. | |
dc.contributor.author | Comis B. | |
dc.contributor.author | Couchot F. | |
dc.contributor.author | Coulais A. | |
dc.contributor.author | Crill B. | |
dc.contributor.author | Curto A. | |
dc.contributor.author | Cuttaia F. | |
dc.contributor.author | Danese L. | |
dc.contributor.author | Davies R. | |
dc.contributor.author | Davis R. | |
dc.contributor.author | De Bernardis P. | |
dc.contributor.author | De Rosa A. | |
dc.contributor.author | De Zotti G. | |
dc.contributor.author | Delabrouille J. | |
dc.contributor.author | Dickinson C. | |
dc.contributor.author | Diego J. | |
dc.contributor.author | Dole H. | |
dc.contributor.author | Donzelli S. | |
dc.contributor.author | Doré O. | |
dc.contributor.author | Douspis M. | |
dc.contributor.author | Ducout A. | |
dc.contributor.author | Dupac X. | |
dc.contributor.author | Efstathiou G. | |
dc.contributor.author | Elsner F. | |
dc.contributor.author | Enßlin T. | |
dc.contributor.author | Eriksen H. | |
dc.contributor.author | Finelli F. | |
dc.contributor.author | Flores-Cacho I. | |
dc.contributor.author | Forni O. | |
dc.contributor.author | Frailis M. | |
dc.contributor.author | Fraisse A. | |
dc.contributor.author | Franceschi E. | |
dc.contributor.author | Galeotta S. | |
dc.contributor.author | Galli S. | |
dc.date.accessioned | 2018-09-19T20:05:15Z | |
dc.date.available | 2018-09-19T20:05:15Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 0004-6361 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/142536 | |
dc.description.abstract | © 2016 ESO.We use Planck data to detect the cross-correlation between the thermal Sunyaev-Zeldovich (tSZ) effect and the infrared emission from the galaxies that make up the the cosmic infrared background (CIB). We first perform a stacking analysis towards Planck-confirmed galaxy clusters. We detect infrared emission produced by dusty galaxies inside these clusters and demonstrate that the infrared emission is about 50% more extended than the tSZ effect. Modelling the emission with a Navarro-Frenk-White profile, we find that the radial profile concentration parameter is c500 = 1.00+0.18-0.15 c500=1.00-0.15+0.18. This indicates that infrared galaxies in the outskirts of clusters have higher infrared flux than cluster-core galaxies. We also study the cross-correlation between tSZ and CIB anisotropies, following three alternative approaches based on power spectrum analyses: (i) using a catalogue of confirmed clusters detected in Planck data; (ii) using an all-sky tSZ map built from Planck frequency maps; and (iii) using cross-spectra between Planck frequency maps. With the three different methods, we detect the tSZ-CIB cross-power spectrum at significance levels of (i) 6σ; (ii) 3σ; and (iii) 4σ. We model the tSZ-CIB cross-correlation signature and compare predictions with the measurements. The amplitude of the cross-correlation relative to the fiducial model is AtSZ-CIB = 1.2 ± 0.3. This result is consistent with predictions for the tSZ-CIB cross-correlation assuming the best-fit cosmological model from Planck 2015 results along with the tSZ and CIB scaling relations. | |
dc.relation.ispartofseries | Astronomy and Astrophysics | |
dc.subject | Galaxies: clusters: general | |
dc.subject | Infrared: galaxies | |
dc.subject | Large-scale structure of Universe | |
dc.subject | Methods: data analysis | |
dc.title | Planck 2015 results: XXIII. The thermal Sunyaev-Zeldovich effect-cosmic infrared background correlation | |
dc.type | Article | |
dc.relation.ispartofseries-volume | 594 | |
dc.collection | Публикации сотрудников КФУ | |
dc.source.id | SCOPUS00046361-2016-594-SID84989329199 |