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Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)最新文献

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Simultaneous particles influence on the LAGO’s Water Cherenkov Detectors signals 同时粒子对LAGO水切伦科夫探测器信号的影响
Pub Date : 2021-08-05 DOI: 10.22323/1.395.0267
L. Otiniano, M. Suárez-Durán, C. Sarmiento-Cano, Hernán Asorey, I. Sidelnik
Comisión Nacional de Investigación y Desarrollo Aeroespacial, CONIDA, Lima, Perú Universidad de Pamplona, Departamento de Física y Geología Pamplona, Colombia Université Libre de Bruxelles Brussels, Belgium. Instituto de Tecnologías en Detección y Astropartículas (ITeDA, CNEA/CONICET/UNSAM) Centro Atómico Constituyentes, Av. General Paz 1499, 1450 Villa Maipú, Buenos Aires, Argentina Departamento de Física de Neutrones, Centro Atómico Bariloche (CNEA/CONICET) Av. Bustillo 9500, 8400 San Carlos de Bariloche, Argentina E-mail: lotiniano@conida.gob.pe
国家航空航天研究和发展委员会,CONIDA,利马,秘鲁潘普洛纳大学,物理和地质系,哥伦比亚潘普洛纳universite Libre de Bruxelles,比利时布鲁塞尔。在检测技术研究和天体粒子(ITeDA、评/ / UNSAM)一般原子成分,av中心和平1499,Villa Maipú1450年,布宜诺斯艾利斯,阿根廷中子物理学系,原子巴里洛切(评鉴中心/国家)av Bustillo 9500, 8400圣卡洛斯阿根廷巴里洛切,电子邮件:lotiniano@conida.gob.pe
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引用次数: 0
Trinity’s Sensitivity to Isotropic and Point-Source Neutrinos 三位一体对各向同性和点源中微子的敏感性
Pub Date : 2021-08-05 DOI: 10.22323/1.395.1234
Andrew Wang, Chaoxian Lin, N. Otte, M. Doro, E. Gazda, I. Taboada, A. Brown, M. Bagheri
The neutrino band above 10 PeV remains one of the last multi-messenger windows to be opened, a challenge that several groups tackle. One of the proposed instruments is Trinity, a system of air-shower imaging telescopes to detect Earth-skimming neutrinos with energies from 106 GeV to 1010 GeV. We present updated sensitivity calculations demonstrating Trinity’s capability of not only detecting the IceCube measured diffuse astrophysical neutrino flux but doing so in an energy band that overlaps with IceCube’s. Trinity will distinguish between different cutoff scenarios of the astrophysical neutrino flux, which will help identify their sources. We also discuss Trinity’s sensitivity to transient sources on timescales from hours to years.
10 PeV以上的中微子波段仍然是最后几个待打开的多信使窗口之一,这是几个研究小组正在解决的一个挑战。其中一种被提议的仪器是Trinity,这是一种空气阵雨成像望远镜系统,用于探测能量在106 GeV到1010 GeV之间的掠过地球的中微子。我们提出了最新的灵敏度计算,证明Trinity不仅可以探测到冰立方测量的漫射天体物理中微子通量,而且可以在与冰立方重叠的能带上进行探测。三一学院将区分天体物理中微子通量的不同截止情景,这将有助于确定它们的来源。我们还讨论了三位一体对瞬态辐射源的敏感性,时间尺度从小时到年不等。
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引用次数: 10
IPPOG Global Cosmic Rays Portal: Making Cosmic Rays Studies available to schools worldwide IPPOG全球宇宙射线门户网站:为世界各地的学校提供宇宙射线研究
Pub Date : 2021-08-05 DOI: 10.22323/1.395.1362
Barbora Bruant Gulejova
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引用次数: 1
Charge Loss Correction in the Silicon-Tungsten Tracker-Converter for Proton-Helium Charge Identification in the DAMPE Detector 用于DAMPE探测器中质子-氦电荷识别的硅钨跟踪转换器的电荷损失校正
Pub Date : 2021-08-04 DOI: 10.22323/1.395.0083
A. Ruina, M. Stolpovskiy, M. Deliyergiyev, Yuanhao Cui, Francesco Alemanno, Q. An, P. Azzarello, F. Barbato, P. Bernardini, X. Bi, M. Cai, E. Casilli, E. Catanzani, Jin Chang, Dengyi Chen, Junling Chen, Zhan-Fang Chen, M. Cui, T. Cui, H. Dai, A. De Benedittis, I. De Mitri, F. de Palma, M. Di Santo, Qi Ding, T. Dong, Z. Dong, G. Donvito, D. Droz, J. Duan, K. Duan, D. Durso, R. Fan, Yizhong Fan, F. Fang, K. Fang, C. Feng, Lei Feng, P. Fusco, V. Gallo, M. Gao, F. Gargano, Ke Gong, Y. Gong, D. Guo, Jianhua Guo, Shuang Han, Yi-Ming Hu, Guangshun Huang, Xiaoyuan Huang, Y. Huang, M. Ionica, Wei Jiang, J. Kong, A. Kotenko, D. Kyratzis, S. Lei, Wei Li, Wen Li, Xiang Li, X. Li, Y. Liang, Chengming Liu, Hao Liu, Jie Liu, Shu Liu, Yang Liu, F. Loparco, C. Luo, Miao Ma, P. Ma, T. Ma, Xiao Ma, G. Marsella, M. Mazziotta, D. Mo, X. Niu, Xu Pan, A. Parenti, W. Peng, X. Peng, C. Perrina, Rui Qiao, J. Rao, A. Ruina, M. Salinas, G. Shang, Weiming Shen, Z. Shen, Z. Shen, L. Silveri, Jing Song, H. Su, M. Su, H. Sun, Zhiyu Sun,
Arshia Ruina,a,∗ Mikhail Stolpovskiy,a Maksym Deliyergiyeva and Yuxing Cuib on behalf of the DAMPE Collaboration (a complete list of authors can be found at the end of the proceedings) aDépartement de physique nucléaire et corpusculaire, University of Geneva, Quai Ernest-Ansermet 24, 1205 Geneva, Switzerland bKey Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China E-mail: arshia.ruina@unige.ch, mikhail.stolpovskiy@unige.ch,
Arshia Ruina,a,∗Mikhail Stolpovskiy,a Maksym Deliyergiyeva和Yuxing Cuib代表DAMPE合作项目(完整的作者名单可在会议结束处找到),日内瓦大学,Quai Ernest-Ansermet 24, 1205日内瓦,瑞士。中国科学院紫金山天文台暗物质与空间天文学重点实验室,南京210033arshia.ruina@unige.ch mikhail.stolpovskiy@unige.ch,
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引用次数: 1
An Archival Search for Very-High-Energy Counterparts to Sub-Threshold Neutron-Star Merger Candidates 亚阈值中子星合并候选者的高能对应物档案搜索
Pub Date : 2021-08-04 DOI: 10.22323/1.395.0948
C. Adams, I. Bartos, K. Corley, S. M'arka, Z. Márka, D. Veske, M. Capasso, Rene A. Ong, I. Sadeh, P. Kaaret, Weidong Jin, W. Benbow, R. Mukherjee, R. Prado, M. Lundy, Sameer Patel, P. Moriarty, Gernot Maier, A. Furniss, K. Ragan, David Williams, J. Buckley, L. Fortson, J. Quinn, J. Holder, C. Giuri, E. Pueschel, Daniel Nieto, S. O’Brien, Deivid Ribeiro, K. Pfrang, O. Gueta, G. Foote, A. Weinstein, Sajan Kumar, Tyler Williamson, D. Tak, Conor McGrath, T. Kleiner, M. Pohl, Paul Reynolds, B. Hona, D. Hanna, M. Santander, G. Sembroski, S. R. Patel, M. Errando, M. Kertzman, O. Hervet, Mireia Nievas-Rosillo, Mark Lang, E. Roache, T. Humensky, R. Shang, V. Vassiliev, A. Chromey, A. Falcone, J. Christiansen, A. Otte, A. Gent, A. Brill, J. Ryan, Kayla Farrell, G. Gillanders, Qi Feng, A. Archer, D. Kieda
The recent discovery of electromagnetic signals in coincidence with gravitational waves from neutron-star mergers has solidified the importance of multimessenger campaigns for studying the most energetic astrophysical events. Pioneering multimessenger observatories, such as the LIGO/Virgo gravitational wave detectors and the IceCube neutrino observatory, record many candidate signals that fall short of the detection significance threshold. These sub-threshold event candidates are promising targets for multimessenger studies, as the information provided by these candidates may, when combined with time-coincident gamma-ray observations, lead to significant detections. In this contribution, I describe our use of sub-threshold binary neutron star merger candidates identified in Advanced LIGO's first observing run (O1) to search for transient events in very-high-energy gamma rays using archival observations from the VERITAS imaging atmospheric Cherenkov telescope array. I describe the promise of this technique for future joint sub-threshold searches.
最近发现的电磁信号与中子星合并产生的引力波相吻合,巩固了多信使运动对研究最具能量的天体物理事件的重要性。开创性的多信使天文台,如LIGO/Virgo引力波探测器和冰立方中微子天文台,记录了许多未达到探测意义阈值的候选信号。这些亚阈值事件候选者是多信使研究的有希望的目标,因为这些候选者提供的信息,当与时间一致的伽马射线观测相结合时,可能会导致重大的探测。在这篇文章中,我描述了我们使用在高级LIGO的第一次观测运行(O1)中发现的亚阈值双中子星合并候选者,利用VERITAS成像大气切伦科夫望远镜阵列的档案观测数据,在高能伽马射线中搜索瞬态事件。我描述了这种技术在未来联合亚阈值搜索中的前景。
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引用次数: 0
Cosmic Ray Detection at the Murchison Radio-astronomy Observatory – a pathfinder for SKA-Low 默奇森射电天文台的宇宙射线探测——SKA-Low的探路者
Pub Date : 2021-08-04 DOI: 10.22323/1.395.0325
A. Williamson, C. James, S. Tingay, J. Bray, T. Huege
Curtin University, International Centre for Radio Astronomy Research, Bentley, WA 6102, Australia, University of Manchester, JBCA, Dept. of Physics & Astronomy, Manchester M13 9PL, UK, Karlsruhe Institute of Technology, Institute for Astroparticle Physics (IAP), P.O. Box 3640, 76021 Karlsruhe, Germany Astrophysical Institute, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium E-mail: alexander.williamson1@postgrad.curtin.edu.au,
科坦大学国际射电天文学研究中心,澳大利亚,WA 6102,本特利,曼彻斯特大学,JBCA,物理与天文学系,英国,曼彻斯特M13 9PL,卡尔斯鲁厄理工学院,天体粒子物理研究所(IAP),邮政信箱3640,76021,德国,卡尔斯鲁厄,布鲁塞尔自由大学天体物理研究所,比利时,布鲁塞尔,Pleinlaan 2, 1050, E-mail: alexander.williamson1@postgrad.curtin.edu.au;
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引用次数: 0
Low-energy gamma-ray observations above 1 GeV with CALET on the International Space Station 在国际空间站上使用CALET进行1 GeV以上的低能伽马射线观测
Pub Date : 2021-08-04 DOI: 10.22323/1.395.0604
N. Cannady
The CALorimetric Electron Telescope (CALET) was launched in August 2015 and installed on the International Space Station (ISS) Japanese Experiment Module Exposed Facility. Alongside the primary science targets of GeV—TeV energy cosmic-ray electrons and cosmic-ray hadrons up to PeV energies, CALET is sensitive to gamma rays from 1 GeV up to 10 TeV, limited by statistics. Access to energies below 10 GeV is enabled by a dedicated low-energy gamma (LE-𝛾 ) trigger which is active only at low geomagnetic latitudes. In this work we review the analysis of gamma-ray events collected with this trigger including the mitigation of a secondary photon background from cosmic-ray interactions with ISS structures in the CALET field-of-view, the observation of persistent galactic and extragalactic sources, and the detection of emission from the quiescent Sun.
量热电子望远镜(CALET)于2015年8月发射升空,安装在国际空间站(ISS)日本实验舱暴露设施上。除了GeV - TeV能量的宇宙射线电子和高达PeV能量的宇宙射线强子的主要科学目标外,CALET对1 GeV至10 TeV的伽马射线敏感,但受统计限制。获得低于10 GeV的能量是通过专用的低能伽马(LE- )触发器实现的,该触发器仅在低地磁纬度活动。在这项工作中,我们回顾了用该触发器收集的伽马射线事件的分析,包括CALET视场中宇宙射线与国际空间站结构相互作用产生的次级光子背景的缓解,对持久星系和河外源的观测,以及对静止太阳发射的探测。
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引用次数: 5
Predictions for gamma-rays from clouds associated with supernova remnant PeVatrons 预测与超新星遗迹pevatron相关的云的伽马射线
Pub Date : 2021-08-04 DOI: 10.22323/1.395.0922
A. Mitchell, G. Rowell, S. Celli, S. Einecke
Interstellar clouds can act as target material for hadronic cosmic rays; gamma-rays produced through inelastic proton-proton collisions and spatially associated with the clouds provide a key indicator of efficient particle acceleration. However, even for PeVatron sources reaching PeV energies, the system of cloud and accelerator must fulfil several conditions in order to produce a detectable gamma-ray flux. In this contribution, we characterise the necessary properties of both cloud and accelerator. Using available Supernova Remnant (SNR) and interstellar cloud catalogues, and assuming particle acceleration to PeV energies in a nearby SNR, we produce a ranked shortlist of the most promising target systems; those for which a detectable gamma-ray flux is predicted. We discuss detection prospects for future facilities including CTA and SWGO; and compare our predictions with known gamma-ray sources, including the Ultra-High-Energy sources recently detected by LHAASO. A range of model scenarios are tested, including variation in the diffusion coefficient and particle spectrum, under which the best candidate clouds in our shortlist are consistently bright. On average, a detectable gamma-ray flux is more likely for more massive clouds; for systems with lower separation distance between the SNR and cloud; and for slightly older SNRs, due to the time required for particles to traverse the separation distance.
星际云可以作为强子宇宙射线的靶物质;通过非弹性质子-质子碰撞产生的伽马射线,在空间上与云相关,提供了有效粒子加速的关键指标。然而,即使对于达到PeV能量的PeVatron源,云和加速器系统也必须满足几个条件,才能产生可探测的伽马射线通量。在这篇文章中,我们描述了云和加速器的必要特性。利用现有的超新星遗迹(SNR)和星际云目录,并假设粒子加速到PeV能量在附近的信噪比,我们产生了一个最有希望的目标系统的候选名单;那些被预测有可探测的伽马射线通量的。我们讨论了未来设施的探测前景,包括CTA和SWGO;并将我们的预测与已知的伽马射线源进行比较,包括LHAASO最近探测到的超高能量源。我们测试了一系列模型情景,包括扩散系数和粒子光谱的变化,在这些情况下,我们候选名单中的最佳候选云始终是明亮的。平均而言,更大质量的云更有可能探测到伽马射线通量;对于信噪比与云分离距离较低的系统;对于更老的信噪比,由于粒子穿越分离距离所需的时间。
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引用次数: 1
Ultra-Heavy Cosmic Ray Analysis with CALET on the International Space Station: Established and Developing Procedures 在国际空间站上用CALET进行超重宇宙射线分析:已建立和发展的程序
Pub Date : 2021-08-04 DOI: 10.22323/1.395.0069
A. Ficklin, N. Cannady, B. Rauch, W. Zober
The CALorimetric Electron Telescope (CALET) has collected over 60 months of uninterrupted data on the flux and spectrum of the Ultra-Heavy (UH) cosmic rays from Z=30 to 40. Using the latest data provided from CALET’s UH trigger, we present a newly developed UH analysis complementary to the ongoing analysis presented at this conference by Zober et al. This work introduces a new Ultra-Heavy Analysis (UHA) dataset produced from CALET production data allowing for more streamlined analysis. We detail temporal and spatial correction algorithms using both the 26 Fe and 14 Si peaks to improve charge resolution in the Z >= 30 region. Additionally, this work presents a new method for removing the contributions from non-relativistic/lower-Z nuclei using trajectory tracing to compute effective cutoff rigidities in place of the previously used vertical Stoermer approximation. We show that replacing the approximated cutoffs with numerically calculated effective cutoff rigidities, calculated using the IGRF13 and T05 (Tsyganenko 05) geomagnetic field models, leads to fewer events being removed from the dataset while maintaining improved charge resolution for Z > 26. Furthermore, we introduce Tarle function peak fitting to perform charge corrections needed as a result of any quenching effects. We show the most recent CALET UH results incorporating these improvements in the analysis
量热电子望远镜(CALET)已经收集了超过60个月的关于Z=30到40的超高质量(UH)宇宙射线的通量和光谱的不间断数据。利用CALET UH触发器提供的最新数据,我们提出了一种新开发的UH分析,补充了Zober等人在本次会议上提出的正在进行的分析。这项工作引入了一种新的超重型分析(UHA)数据集,该数据集由CALET生产数据生成,可以进行更精简的分析。我们详细介绍了使用26 Fe和14 Si峰的时空校正算法,以提高Z >= 30区域的电荷分辨率。此外,本工作提出了一种新的方法来消除非相对论性/低z核的贡献,使用轨迹跟踪来计算有效的截止刚度,以取代以前使用的垂直Stoermer近似。我们表明,用IGRF13和T05 (Tsyganenko 05)地磁场模型计算的数值计算的有效截止刚度取代近似截止,可以减少从数据集中删除的事件,同时保持Z > 26的改进电荷分辨率。此外,我们引入了Tarle函数峰拟合来执行任何淬火效应所需的电荷校正。我们展示了最新的CALET UH结果,在分析中纳入了这些改进
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引用次数: 1
Machine learning aided noise filtration and signal classification for CREDO experiment 机器学习辅助CREDO实验的噪声过滤和信号分类
Pub Date : 2021-08-04 DOI: 10.22323/1.395.0227
Ł. Bibrzycki, L. Bibrzycki, D. Alvarez-Castillo, O. Bar, D. Góra, P. Homola, P. Kovács, M. Niedźwiecki, M. Piekarczyk, K. Rzecki, J. Stasielak, S. Stuglik, O. Sushchov, A. Tursunov, Credo
The wealth of smartphone data collected by the Cosmic Ray Extremely Distributed Observatory (CREDO) greatly surpasses the capabilities of manual analysis. So, efficient means of rejecting the non-cosmic-ray noise and identification of signals attributable to extensive air showers are necessary. To address these problemswe discuss a Convolutional Neural Network-basedmethod of artefact rejection and complementarymethod of particle identification based on common statistical classifiers aswell as their ensemble extensions. These approaches are based on supervised learning, so we need to provide a representative subset of the CREDO dataset for training and validation. According to this approach over 2300 images were chosen and manually labeled by 5 judges. The images were split into spot, track, worm (collectively named signals) and artefact classes. Then the preprocessing consisting of luminance summation of RGB channels (grayscaling) and background removal by adaptive thresholding was performed. For purposes of artefact rejection the binary CNN-based classifier was proposed which is able to distinguish between artefacts and signals. The classifier was fed with input data in the form of Daubechies wavelet transformed images. In the case of cosmic ray signal classification, the well-known feature-based classifiers were considered. As feature descriptors, we used Zernike moments with additional feature related to total image luminance. For the problem of artefact rejection, we obtained an accuracy of 99%. For the 4-class signal classification, the best performing classifiers achieved a recognition rate of 88%.
宇宙射线极端分布天文台(CREDO)收集的智能手机数据的丰富程度大大超过了人工分析的能力。因此,有必要采用有效的方法来排除非宇宙射线噪声,并识别由广泛的空气阵雨引起的信号。为了解决这些问题,我们讨论了基于卷积神经网络的伪信号抑制方法和基于常见统计分类器的互补粒子识别方法,以及它们的集成扩展。这些方法都是基于监督学习的,所以我们需要提供CREDO数据集的一个有代表性的子集来进行训练和验证。根据这种方法,超过2300张图片被选中,并由5名评委手工标记。这些图像被分成点、轨迹、蠕虫(统称为信号)和伪影类。然后对图像进行灰度化和背景去除预处理。为了抑制伪信号,提出了一种能够区分伪信号和信号的基于cnn的二值分类器。该分类器以Daubechies小波变换图像的形式输入数据。在宇宙射线信号分类的情况下,考虑了众所周知的基于特征的分类器。作为特征描述符,我们使用带有与图像总亮度相关的附加特征的泽尼克矩。对于伪影剔除问题,我们获得了99%的准确率。对于4类信号分类,表现最好的分类器识别率达到88%。
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引用次数: 1
期刊
Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)
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