The DArk Matter Particle Explorer (DAMPE) is well suitable for searching for monochromatic and sharp gamma-ray structures in the GeV-TeV range thanks to its unprecedented high energy resolution. In this work, we search for gamma-ray line structures using five years of DAMPE data. To improve the sensitivity, we develop two types of dedicated data sets (including the BgoOnly data which is the first time to be used in the data analysis for the calorimeter-based gamma-ray observatories) and adopt the signal-to-noise ratio optimized regions of interest (ROIs) for different DM density profiles. No line signals or candidates are found between 10 and 300 GeV in the Galaxy. The constraints on the velocity-averaged cross section for chi chi -> gamma gamma and the decay lifetime for chi -> gamma nu, both at 95% confidence level, have been calculated and the systematic uncertainties have been taken into account. Comparing to the previous Fermi-LAT results, though DAMPE has an acceptance smaller by a factor of similar to 10, similar constraints on the DM parameters are achieved and below 100 GeV the lower limits on the decay lifetime are even stronger by a factor of a few. Our results demonstrate the potential of high-energy-resolution observations on dark matter detection. (C) 2021 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.

Search for gamma-ray spectral lines with the DArk Matter Particle Explorer / Liang, Yun-Feng; Francesca, Alemanno1; 2, ; An3, Qi; 4, ; Philipp, Azzarello5; Felicia Carla Tiziana Barbato1, ; 2, ; Paolo, Bernardini6; 7, ; Xiao-Jun, Bi8; 9, ; Ming-Sheng, Cai10; 11, ; Elisabetta, Casilli6; 7, ; Enrico, Catanzani12; Jin, Chang10; 11, ; Deng-Yi, Chen10; Jun-Ling, Chen13; Zhan-Fang, Chen10; 11, ; Ming-Yang, Cui10; Tian-Shu, Cui14; Yu-Xing, Cui10; 11, ; Hao-Ting, Dai3; 4, ; Antonio De Benedittis6, ; 7, ; Ivan De Mitri1, ; 2, ; Francesco de Palma6, ; 7, ; Maksym, Deliyergiyev5; Margherita Di Santo1, ; 2, ; Ding10, Qi; 11, ; Tie-Kuang, Dong10; Zhen-Xing, Dong14; Giacinto, Donvito15; David, Droz5; Jing-Lai, Duan13; Kai-Kai, Duan10; D'Urso, Domenico; 12∗, ; Rui-Rui, Fan8; Yi-Zhong, Fan10; 11, ; Fang, Fang13; Kun, Fang8; Chang-Qing, Feng3; 4, ; Lei, Feng10; Piergiorgio, Fusco15; 16, ; Min, Gao8; Fabio, Gargano15; Gong8, Ke; Yi-Zhong, Gong10; Dong-Ya, Guo8; Jian-Hua, Guo10; 11, ; Shuang-Xue, Han14; Yi-Ming, Hu10; Guang-Shun, Huang3; 4, ; Xiao-Yuan, Huang10; 11, ; Yong-Yi, Huang10; Maria, Ionica12; Wei, Jiang10; Jie, Kong13; Andrii, Kotenko5; Dimitrios, Kyratzis1; 2, ; Shi-Jun, Lei10; Shang Li10, † Wen-Hao Li10; 11, ; Wei-Liang, Li14; Xiang, Li10; 11, ; Xian-Qiang, Li14; Yao-Ming, Liang14; Cheng-Ming, Liu3; 4, ; Hao, Liu10; Jie, Liu13; Shu-Bin, Liu3; 4, ; Yang, Liu10; Francesco, Loparco15; 16, ; Chuan-Ning, Luo10; 11, ; Miao, Ma14; Peng-Xiong, Ma10; Tao, Ma10; Xiao-Yong, Ma14; Giovanni, Marsella6; 7‡, ; Mario Nicola Mazziotta15, ; Dan, Mo13; Maria Mu ̃noz Salinas5, ; Xiao-Yang, Niu13; Pan10, Xu; 11, ; Andrea, Parenti1; 2, ; Wen-Xi, Peng8; Xiao-Yan, Peng10; Chiara, Perrina5§; Rui, Qiao8; Jia-Ning, Rao14; Arshia, Ruina5; Zhi, Shangguan14; Wei-Hua, Shen14; Zhao-Qiang, Shen10; Zhong-Tao, Shen3; 4, ; Leandro, Silveri1; 2, ; Jing-Xing, Song14; Mikhail, Stolpovskiy5; Hong, Su13; Meng, Su17; Hao-Ran, Sun3; 4, ; Zhi-Yu, Sun13; Antonio, Surdo7; Xue-Jian, Teng14; Andrii, Tykhonov5; Jin-Zhou, Wang8; Lian-Guo, Wang14; Shen, Wang10; Shu-Xin, Wang10; 11, ; Xiao-Lian, Wang3; 4, ; Ying, Wang3; 4, ; Yan-Fang, Wang3; 4, ; Yuan-Zhu, Wang10; Da-Ming, Wei10; 11, ; Jia-Ju, Wei10; Yi-Feng, Wei3; 4, ; Wu8, Di; Jian, Wu10; 11, ; Li-Bo, Wu1; 2, ; Sha-Sha, Wu14; Xin, Wu5; Zi-Qing, Xia10; En-Heng, Xu3; 4, ; Hai-Tao, Xu14; Zhi-Hui, Xu10; 11, ; Zun-Lei, Xu10; Zi-Zong, Xu3; 4, ; Guo-Feng, Xue14; Hai-Bo, Yang13; Peng, Yang13; Ya-Qing, Yang13; Hui-Jun, Yao13; Yu-Hong, Yu13; Guan-Wen, Yuan10; 11, ; Qiang, Yuan10; 11, ; Chuan, Yue10; Jing-Jing Zang10¶ Sheng-Xia Zhang13, ; Wen-Zhang, Zhang14; Yan, Zhang10; Zhang10, Yi; 11, ; Yong-Jie, Zhang13; Yun-Long, Zhang3; 4, ; Ya-Peng, Zhang13; Yong-Qiang, Zhang10; Zhe, Zhang10; Zhi-Yong, Zhang3; 4, ; Cong, Zhao3; 4, ; Hong-Yun, Zhao13; Xun-Feng, Zhao14; Chang-Yi, Zhou14; and Yan Zhu14,. - In: SCIENCE BULLETIN. - ISSN 2095-9273. - 67:7(2022), pp. 679-684. [10.1016/j.scib.2021.12.015]

Search for gamma-ray spectral lines with the DArk Matter Particle Explorer

Domenico D’Urso;
2022-01-01

Abstract

The DArk Matter Particle Explorer (DAMPE) is well suitable for searching for monochromatic and sharp gamma-ray structures in the GeV-TeV range thanks to its unprecedented high energy resolution. In this work, we search for gamma-ray line structures using five years of DAMPE data. To improve the sensitivity, we develop two types of dedicated data sets (including the BgoOnly data which is the first time to be used in the data analysis for the calorimeter-based gamma-ray observatories) and adopt the signal-to-noise ratio optimized regions of interest (ROIs) for different DM density profiles. No line signals or candidates are found between 10 and 300 GeV in the Galaxy. The constraints on the velocity-averaged cross section for chi chi -> gamma gamma and the decay lifetime for chi -> gamma nu, both at 95% confidence level, have been calculated and the systematic uncertainties have been taken into account. Comparing to the previous Fermi-LAT results, though DAMPE has an acceptance smaller by a factor of similar to 10, similar constraints on the DM parameters are achieved and below 100 GeV the lower limits on the decay lifetime are even stronger by a factor of a few. Our results demonstrate the potential of high-energy-resolution observations on dark matter detection. (C) 2021 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.
2022
Search for gamma-ray spectral lines with the DArk Matter Particle Explorer / Liang, Yun-Feng; Francesca, Alemanno1; 2, ; An3, Qi; 4, ; Philipp, Azzarello5; Felicia Carla Tiziana Barbato1, ; 2, ; Paolo, Bernardini6; 7, ; Xiao-Jun, Bi8; 9, ; Ming-Sheng, Cai10; 11, ; Elisabetta, Casilli6; 7, ; Enrico, Catanzani12; Jin, Chang10; 11, ; Deng-Yi, Chen10; Jun-Ling, Chen13; Zhan-Fang, Chen10; 11, ; Ming-Yang, Cui10; Tian-Shu, Cui14; Yu-Xing, Cui10; 11, ; Hao-Ting, Dai3; 4, ; Antonio De Benedittis6, ; 7, ; Ivan De Mitri1, ; 2, ; Francesco de Palma6, ; 7, ; Maksym, Deliyergiyev5; Margherita Di Santo1, ; 2, ; Ding10, Qi; 11, ; Tie-Kuang, Dong10; Zhen-Xing, Dong14; Giacinto, Donvito15; David, Droz5; Jing-Lai, Duan13; Kai-Kai, Duan10; D'Urso, Domenico; 12∗, ; Rui-Rui, Fan8; Yi-Zhong, Fan10; 11, ; Fang, Fang13; Kun, Fang8; Chang-Qing, Feng3; 4, ; Lei, Feng10; Piergiorgio, Fusco15; 16, ; Min, Gao8; Fabio, Gargano15; Gong8, Ke; Yi-Zhong, Gong10; Dong-Ya, Guo8; Jian-Hua, Guo10; 11, ; Shuang-Xue, Han14; Yi-Ming, Hu10; Guang-Shun, Huang3; 4, ; Xiao-Yuan, Huang10; 11, ; Yong-Yi, Huang10; Maria, Ionica12; Wei, Jiang10; Jie, Kong13; Andrii, Kotenko5; Dimitrios, Kyratzis1; 2, ; Shi-Jun, Lei10; Shang Li10, † Wen-Hao Li10; 11, ; Wei-Liang, Li14; Xiang, Li10; 11, ; Xian-Qiang, Li14; Yao-Ming, Liang14; Cheng-Ming, Liu3; 4, ; Hao, Liu10; Jie, Liu13; Shu-Bin, Liu3; 4, ; Yang, Liu10; Francesco, Loparco15; 16, ; Chuan-Ning, Luo10; 11, ; Miao, Ma14; Peng-Xiong, Ma10; Tao, Ma10; Xiao-Yong, Ma14; Giovanni, Marsella6; 7‡, ; Mario Nicola Mazziotta15, ; Dan, Mo13; Maria Mu ̃noz Salinas5, ; Xiao-Yang, Niu13; Pan10, Xu; 11, ; Andrea, Parenti1; 2, ; Wen-Xi, Peng8; Xiao-Yan, Peng10; Chiara, Perrina5§; Rui, Qiao8; Jia-Ning, Rao14; Arshia, Ruina5; Zhi, Shangguan14; Wei-Hua, Shen14; Zhao-Qiang, Shen10; Zhong-Tao, Shen3; 4, ; Leandro, Silveri1; 2, ; Jing-Xing, Song14; Mikhail, Stolpovskiy5; Hong, Su13; Meng, Su17; Hao-Ran, Sun3; 4, ; Zhi-Yu, Sun13; Antonio, Surdo7; Xue-Jian, Teng14; Andrii, Tykhonov5; Jin-Zhou, Wang8; Lian-Guo, Wang14; Shen, Wang10; Shu-Xin, Wang10; 11, ; Xiao-Lian, Wang3; 4, ; Ying, Wang3; 4, ; Yan-Fang, Wang3; 4, ; Yuan-Zhu, Wang10; Da-Ming, Wei10; 11, ; Jia-Ju, Wei10; Yi-Feng, Wei3; 4, ; Wu8, Di; Jian, Wu10; 11, ; Li-Bo, Wu1; 2, ; Sha-Sha, Wu14; Xin, Wu5; Zi-Qing, Xia10; En-Heng, Xu3; 4, ; Hai-Tao, Xu14; Zhi-Hui, Xu10; 11, ; Zun-Lei, Xu10; Zi-Zong, Xu3; 4, ; Guo-Feng, Xue14; Hai-Bo, Yang13; Peng, Yang13; Ya-Qing, Yang13; Hui-Jun, Yao13; Yu-Hong, Yu13; Guan-Wen, Yuan10; 11, ; Qiang, Yuan10; 11, ; Chuan, Yue10; Jing-Jing Zang10¶ Sheng-Xia Zhang13, ; Wen-Zhang, Zhang14; Yan, Zhang10; Zhang10, Yi; 11, ; Yong-Jie, Zhang13; Yun-Long, Zhang3; 4, ; Ya-Peng, Zhang13; Yong-Qiang, Zhang10; Zhe, Zhang10; Zhi-Yong, Zhang3; 4, ; Cong, Zhao3; 4, ; Hong-Yun, Zhao13; Xun-Feng, Zhao14; Chang-Yi, Zhou14; and Yan Zhu14,. - In: SCIENCE BULLETIN. - ISSN 2095-9273. - 67:7(2022), pp. 679-684. [10.1016/j.scib.2021.12.015]
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