Search for a gamma-ray line feature from a group of nearby galaxy clusters with Fermi LAT Pass 8 data

Yun-Feng Liang, Zhao-Qiang Shen, Xiang Li, Yi-Zhong Fan, Xiaoyuan Huang, Shi-Jun Lei, Lei Feng, En-Wei Liang, and Jin Chang
Phys. Rev. D 93, 103525 – Published 20 May 2016

Abstract

Galaxy clusters are the largest gravitationally bound objects in the Universe and may be suitable targets for indirect dark matter searches. With 85 months of Fermi LAT Pass 8 publicly available data, we analyze the gamma-ray emission in the direction of 16 nearby galaxy clusters with an unbinned likelihood analysis. No statistically or globally significant γray line feature is identified and a tentative line signal may present at 43GeV. The 95% confidence level upper limits on the velocity-averaged cross section of dark matter particles annihilating into double γ rays (i.e., σvχχγγ) are derived. Unless very optimistic boost factors of dark matter annihilation in these galaxy clusters have been assumed, such constraints are much weaker than the bounds set by the Galactic γray data.

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  • Received 22 February 2016

DOI:https://doi.org/10.1103/PhysRevD.93.103525

© 2016 American Physical Society

Physics Subject Headings (PhySH)

Particles & Fields

Authors & Affiliations

Yun-Feng Liang1,2, Zhao-Qiang Shen1,2, Xiang Li1,2,*, Yi-Zhong Fan1,†, Xiaoyuan Huang3,‡, Shi-Jun Lei1, Lei Feng1, En-Wei Liang4, and Jin Chang1,§

  • 1Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008, China
  • 2University of Chinese Academy of Sciences, Beijing 100012, China
  • 3Physik-Department T30d, Technische Universität München, James-Franck-Straße, D-85748 Garching, Germany
  • 4Guangxi Key Laboratory for the Relativistic Astrophysics, Department of Physics, Guangxi University, Nanning 530004, China

  • *Corresponding author. xiangli@pmo.ac.cn
  • Corresponding author. yzfan@pmo.ac.cn
  • Corresponding author. huangxiaoyuan@gmail.com
  • §Corresponding author. chang@pmo.ac.cn.

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Issue

Vol. 93, Iss. 10 — 15 May 2016

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