发表机构
Università di Firenze; INFN, Sezione di Firenze; Université de Strasbourg; CNRS; Université de Haute Alsace; Khalifa University of Science and Technology; INFN, Sezione di Napoli; Università di Napoli “Federico II”; INFN, Sezione di Roma; IFIC - Instituto de Física Corpuscular (CSIC - Universitat de València); Universitat Politècnica de Catalunya(佛罗伦萨大学; 意大利国家核物理研究所佛罗伦萨分部; 斯特拉斯堡大学; 法国国家科学研究中心; 上阿尔萨斯大学; 哈利法科学技术大学; 意大利国家核物理研究所那不勒斯分部; 那不勒斯费德里科二世大学; 意大利国家核物理研究所罗马分部; 粒子物理研究所(瓦伦西亚大学与西班牙高等科学研究理事会联合); 加泰罗尼亚理工大学)
机构由 AI 辅助整理,请以论文原文为准。AI 中文总结
本研究利用 KM3NeT/ARCA 336 天数据对超亮红外星系、高同步峰 BL Lac 天体和极端 blazars 三类源开展高能中微子堆叠搜索,未发现显著超出并设定了 90% 置信水平上限。
AI 中文摘要
本文介绍了一项针对高能天体物理中微子辐射的堆叠搜索,使用三类候选源样本:超亮红外星系,以及两类 blazars,即高同步峰 BL Lac 天体和极端 blazars。该分析基于 KM3NeT 研究设施的“宇宙中天体粒子研究”组件(KM3NeT/ARCA)采集的 336 天数据,探测器配置包含 19-21 个探测单元,共得到 1544 个选定的径迹型中微子候选体。超亮红外星系样本包含 75 个源,在建模其信号辐射时假设采用常规幂律谱。blazar 样本分别包含 232 个高同步峰 BL Lac 天体和 88 个极端同步峰辐射体,其预期中微子通量由受多波段观测数据约束的数值工具得到。在三类星表中均未发现超过大气本底的统计显著超出,并设定了 90% 置信水平的上限。
英文摘要
A stacking search for high-energy astrophysical neutrino emission is presented using three candidate source populations: ultra-luminous infrared galaxies and two categories of blazars, specifically high-synchrotron-peaked BL Lacs and extreme blazars. The analysis is based on 336 days of data from the Astroparticle Research with Cosmics in the Abyss component of the KM3NeT research infrastructure (KM3NeT/ARCA), collected with detector configurations comprising 19-21 detection units, yielding 1544 selected track-like neutrino candidates. The sample of ultra-luminous infrared galaxies consists of 75 sources, for which conventional power-law spectra are assumed in modelling their signal emission. The blazar samples comprise 232 high-synchrotron-peaked BL Lac objects and 88 extreme synchrotron-peaked emitters, respectively. Their expected neutrino fluxes are obtained from numerical tools constrained by multi-wavelength observational data. No statistically significant excess above the atmospheric background is found for the three catalogues and 90% confidence level upper limits are set.
Comments26 pages, 11 figures