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http://hdl.handle.net/20.500.12386/23478
Titolo: | Dark Matter Searches in the Gamma-ray Extragalactic Background via Cross-correlations with Galaxy Catalogs | Autori: | Cuoco, Alessandro Xia, Jun-Qing Regis, Marco Branchini, Enzo Franco Fornengo, Nicolao VIEL, MATTEO |
Data pubblicazione: | 2015 | Rivista: | THE ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES | Numero: | 221 | Fascicolo: | 2 | Da pagina:: | 29 | Abstract: | We compare the measured angular cross-correlation between the Fermi-Large Area Telescope γ-ray sky and catalogs of extragalactic objects with the expected signal induced by weakly interacting massive particle (WIMP) dark matter (DM). We include a detailed description of the contribution of astrophysical γ-ray emitters such as blazars, misaligned active galactic nucleus (AGN), and star-forming galaxies, and perform a global fit to the measured cross-correlation. Five catalogs are considered: Sloan Digital Sky Survey (SDSS)-DR6 quasars, Two Micron All Sky Survey galaxies, NRAO VLA Sky Survey radio galaxies, SDSS-DR8 Luminous Red Galaxies, and the SDSS-DR8 main galaxy sample. To model the cross-correlation signal, we use the halo occupation distribution formalism to estimate the number of galaxies of a given catalog in DM halos and their spatial correlation properties. We discuss uncertainties in the predicted cross-correlation signal arising from the DM clustering and WIMP microscopic properties, which set the DM γ-ray emission. The use of different catalogs probing objects at different redshifts significantly reduces, though not completely, the degeneracy among the different γ-ray components. We find that the presence of a significant WIMP DM signal is allowed by the data but not significantly preferred by the fit, although this is mainly due to a degeneracy with the misaligned AGN component. With modest substructure boost, the sensitivity of this method excludes thermal annihilation cross sections at 95% level for WIMP masses up to few tens of GeV. Constraining the low-redshift properties of astrophysical populations with future data will further improve the sensitivity to DM. | URI: | http://hdl.handle.net/20.500.12386/23478 | URL: | https://iopscience.iop.org/article/10.1088/0067-0049/221/2/29 | ISSN: | 0067-0049 | DOI: | 10.1088/0067-0049/221/2/29 | Bibcode ADS: | 2015ApJS..221...29C | Fulltext: | open |
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