Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)最新文献_第10页

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

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) Pub Date : 2021-08-05 DOI: 10.22323/1.395.0267

L. Otiniano, M. Suárez-Durán, C. Sarmiento-Cano, Hernán Asorey, I. Sidelnik

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

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

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

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) Pub Date : 2021-08-05 DOI: 10.22323/1.395.1362

Barbora Bruant Gulejova

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

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) 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,

{"title":"Charge Loss Correction in the Silicon-Tungsten Tracker-Converter for Proton-Helium Charge Identification in the DAMPE Detector","authors":"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,","doi":"10.22323/1.395.0083","DOIUrl":"https://doi.org/10.22323/1.395.0083","url":null,"abstract":"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,","PeriodicalId":20473,"journal":{"name":"Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80997196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

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

{"title":"An Archival Search for Very-High-Energy Counterparts to Sub-Threshold Neutron-Star Merger Candidates","authors":"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","doi":"10.22323/1.395.0948","DOIUrl":"https://doi.org/10.22323/1.395.0948","url":null,"abstract":"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.","PeriodicalId":20473,"journal":{"name":"Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)","volume":"30 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91406202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) Pub Date : 2021-08-04 DOI: 10.22323/1.395.0325

A. Williamson, C. James, S. Tingay, J. Bray, T. Huege

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

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) Pub Date : 2021-08-04 DOI: 10.22323/1.395.0604

N. Cannady

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

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) Pub Date : 2021-08-04 DOI: 10.22323/1.395.0922

A. Mitchell, G. Rowell, S. Celli, S. Einecke

{"title":"Predictions for gamma-rays from clouds associated with supernova remnant PeVatrons","authors":"A. Mitchell, G. Rowell, S. Celli, S. Einecke","doi":"10.22323/1.395.0922","DOIUrl":"https://doi.org/10.22323/1.395.0922","url":null,"abstract":"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.","PeriodicalId":20473,"journal":{"name":"Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86935182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) Pub Date : 2021-08-04 DOI: 10.22323/1.395.0069

A. Ficklin, N. Cannady, B. Rauch, W. Zober

{"title":"Ultra-Heavy Cosmic Ray Analysis with CALET on the International Space Station: Established and Developing Procedures","authors":"A. Ficklin, N. Cannady, B. Rauch, W. Zober","doi":"10.22323/1.395.0069","DOIUrl":"https://doi.org/10.22323/1.395.0069","url":null,"abstract":"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","PeriodicalId":20473,"journal":{"name":"Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83355676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

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

{"title":"Machine learning aided noise filtration and signal classification for CREDO experiment","authors":"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","doi":"10.22323/1.395.0227","DOIUrl":"https://doi.org/10.22323/1.395.0227","url":null,"abstract":"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%.","PeriodicalId":20473,"journal":{"name":"Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82839489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1