首站-论文投稿智能助手
典型文献
Search for gamma-ray spectral lines with the DArk Matter Particle Explorer
文献摘要:
The DArk Matter Particle Explorer(DAMPE)is well suitable for searching for monochromatic and sharp γ-ray structures in the GeV-TeV range thanks to its unprecedented high energy resolution.In this work,we search for y-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 opti-mized 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 xx→γγ and the decay lifetime for x →γv,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~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.
文献关键词:
作者姓名:
DAMPE Collaboration;Yun-Feng Liang
作者机构:
Laboratory for Relativistic Astrophysics,Department of Physics,Guangxi University,Nanning 530004,China
引用格式:
[1]DAMPE Collaboration;Yun-Feng Liang-.Search for gamma-ray spectral lines with the DArk Matter Particle Explorer)[J].科学通报(英文版),2022(07):679-684
A类:
BgoOnly,observatories
B类:
Search,gamma,ray,spectral,lines,DArk,Matter,Particle,Explorer,DAMPE,well,suitable,searching,monochromatic,sharp,structures,GeV,TeV,range,thanks,unprecedented,high,energy,resolution,In,this,work,using,five,years,data,To,improve,sensitivity,develop,two,types,dedicated,sets,including,which,first,used,analysis,calorimeter,adopt,noise,ratio,opti,mized,regions,interest,ROIs,different,DM,density,profiles,No,signals,candidates,are,found,between,Galaxy,constraints,velocity,averaged,cross,section,xx,decay,lifetime,both,confidence,level,have,been,calculated,systematic,uncertainties,taken,into,account,Comparing,previous,Fermi,LAT,results,though,has,acceptance,smaller,by,similar,parameters,achieved,below,lower,limits,even,stronger,few,Our,demonstrate,potential,observations,dark,matter,detection
AB值:
0.608815
相似文献
Effect of solid-solution strengthening on deformation mechanisms and strain hardening in medium-entropy V1-xCrxCoNi alloys
Hyun Chung;Dae Woong Kim;Woo Jin Cho;Heung Nam Han;Yuji Ikeda;Shoji Ishibashi;Fritz K?rmann;Seok Su Sohn-Department of Materials Science and Engineering,Korea University,Seoul 02841,South Korea;Center for High Entropy Alloys,Pohang University of Science and Technology,Pohang 37673,South Korea;Department of Materials Science and Engineering and Research Institute of Advanced Materials,Seoul National University,Seoul 08826,South Korea;Institute for Materials Science,University of Stuttgart,Pfaffenwaldring 55,Stuttgart 70569,Germany;Computational Materials Design,Max-Planck-Institut für Eisenforschung GmbH,Max-Planck-Strabe 1,Düisseldorf 40237,Germany;Research Center for Computational Design of Advanced Functional Materials(CD-Fmat),National Institute of Advanced Industrial Science and Technology(AIST),Tsukuba,Ibaraki 305-8568,Japan;Department of Materials Science and Engineering,Delft University of Technology,Mekelweg,2,Delft 2628 CD,the Netherlands
In situ neutron diffraction unravels deformation mechanisms of a strong and ductile FeCrNi medium entropy alloy
L.Tang;F.Q.Jiang;J.S.Wróbel;B.Liu;S.Kabra;R.X.Duan;J.H.Luan;Z.B.Jiao;M.M.Attallah;D.Nguyen-Manh;B.Cai-School of Metallurgy and Materials,University of Birmingham,B15 2TT,United Kingdom;Institute of Metal Research,Chinese Academy of Sciences,Shenyang 110016,China;Faculty of Materials Science and Engineering,Warsaw University of Technology,ul.Wo?oska 141,Warsaw 02-507,Poland;State Key Laboratory for Powder Metallurgy,Central South University,Changsha 410083,China;Rutherford Appleton Laboratory,ISIS Facility,Didcot OX11 0QX,United Kingdom;Department of Materials Science and Engineering,City University of Hong Kong,Kowloon,Hong Kong,China;Department of Mechanical Engineering,The Hong Kong Polytechnic University,Hung Hom,Hong Kong,China;CCFE,United Kingdom Atomic Energy Authority,Abingdon,Oxfordshire OX14 3DB,United Kingdom
Advancing index-based climate risk assessment to facilitate adaptation planning:Application in Shanghai and Shenzhen,China
Zhan TIAN;Xin-Yang LYU;Huan ZOU;Hong-Long YANG;Laixiang SUN;Maria Sunyer PINYA;Qing-Chen CHAO;Ai-Qing FENG;Ben SMITH-School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen 518055,China;Shanghai Institute of Technology,Shanghai 200235,China;School of Finance and Management,SOAS University of London,London WC1H 0XG,UK;Shenzhen National Climate Observatory of Meteorological Bureau of Shenzhen Municipality,Shenzhen 518040,China;Department of Geographical Sciences,University of Maryland,College Park MD 20742,USA;Arup Group Limited,London W1T 4BQ,UK;National Climate Center China Meteorological Administration,Beijing 10081,China;China Meteorological Administration Climate Studies Key Laboratory,Beijing 100081,China
Harvesting random embedding for high-frequency change-point detection in temporal complex systems
Jia-Wen Hou;Huan-Fei Ma;Dake He;Jie Sun;Qing Nie;Wei Lin-Research Institute of Intelligent Complex Systems,Fudan University,Shanghai 200433,China;Centre for Computational Systems Biology,Institute of Science and Technology for Brain-Inspired Intelligence,Fudan University,Shanghai 200433,China;School of Mathematical Sciences,Soochow University,Suzhou 215006,China;Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai 200092,China;School of Mathematical Sciences and Shanghai Center for Mathematical Sciences,Fudan University,Shanghai 200433,China;Department of Mathematics,Department of Developmental and Cell Biology,and NSF-Simons Center for Multiscale Cell Fate Research,University of California,Irvine,CA 92697-3875,USA;Shanghai Key Laboratory for Contemporary Applied Mathematics,LNMS(Fudan University),and LCNBI(Fudan University),Shanghai 200433,China;State Key Laboratory of Medical Neurobiology,and MOE Frontiers Center for Brain Science,Institutes of Brain Science,Fudan University,Shanghai 200032,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。