Indirect dark matter detection limits from the ultrafaint Milky Way satellite Segue 1
被引:60
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作者:
Essig, Rouven
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Stanford Linear Accelerator Ctr, Natl Accelerator Lab, Stanford, CA 94309 USAStanford Linear Accelerator Ctr, Natl Accelerator Lab, Stanford, CA 94309 USA
Essig, Rouven
[1
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Sehgal, Neelima
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Stanford Univ, Kavli Inst Particle Astrophys & Cosmol, Stanford, CA 94305 USAStanford Linear Accelerator Ctr, Natl Accelerator Lab, Stanford, CA 94309 USA
Sehgal, Neelima
[2
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Strigari, Louis E.
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机构:
Stanford Univ, Kavli Inst Particle Astrophys & Cosmol, Stanford, CA 94305 USAStanford Linear Accelerator Ctr, Natl Accelerator Lab, Stanford, CA 94309 USA
Strigari, Louis E.
[2
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Geha, Marla
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Yale Univ, Dept Astron, New Haven, CT 06520 USAStanford Linear Accelerator Ctr, Natl Accelerator Lab, Stanford, CA 94309 USA
Geha, Marla
[3
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Simon, Joshua D.
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Observ Carnegie Inst Washington, Pasadena, CA 91101 USAStanford Linear Accelerator Ctr, Natl Accelerator Lab, Stanford, CA 94309 USA
Simon, Joshua D.
[4
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机构:
[1] Stanford Linear Accelerator Ctr, Natl Accelerator Lab, Stanford, CA 94309 USA
[2] Stanford Univ, Kavli Inst Particle Astrophys & Cosmol, Stanford, CA 94305 USA
[3] Yale Univ, Dept Astron, New Haven, CT 06520 USA
[4] Observ Carnegie Inst Washington, Pasadena, CA 91101 USA
We use new kinematic data from the ultrafaint Milky Way satellite Segue 1 to model its dark matter distribution and derive upper limits on the dark matter annihilation cross section. Using gamma-ray flux upper limits from the Fermi satellite and MAGIC, we determine cross section exclusion regions for dark matter annihilation into a variety of different particles including charged leptons. We show that these exclusion regions are beginning to probe the regions of interest for a dark matter interpretation of the electron and positron fluxes from PAMELA, Fermi, and HESS, and that future observations of Segue 1 have strong prospects for testing such an interpretation. We additionally discuss prospects for detecting annihilation with neutrinos using the IceCube detector, finding that in an optimistic scenario a few neutrino events may be detected. Finally, we use the kinematic data to model the Segue 1 dark matter velocity dispersion and constrain Sommerfeld enhanced models.