arXiv - PHYS - High Energy Physics - Experiment最新文献

{"title":"Muon/Pion Identification at BESIII based on Variational Quantum Classifier","authors":"Zhipeng Yao, Xingtao Huang, Teng Li, Weidong Li, Tao Lin, Jiaheng Zou","doi":"arxiv-2408.13812","DOIUrl":"https://doi.org/arxiv-2408.13812","url":null,"abstract":"In collider physics experiments, particle identification (PID), i. e. the\u0000identification of the charged particle species in the detector is usually one\u0000of the most crucial tools in data analysis. In the past decade, machine\u0000learning techniques have gradually become one of the mainstream methods in PID,\u0000usually providing superior discrimination power compared to classical\u0000algorithms. In recent years, quantum machine learning (QML) has bridged the\u0000traditional machine learning and the quantum computing techniques, providing\u0000further improvement potential for traditional machine learning models. In this\u0000work, targeting at the $mu^{pm} /pi^{pm}$ discrimination problem at the\u0000BESIII experiment, we developed a variational quantum classifier (VQC) with\u0000nine qubits. Using the IBM quantum simulator, we studied various encoding\u0000circuits and variational ansatzes to explore their performance. Classical\u0000optimizers are able to minimize the loss function in quantum-classical hybrid\u0000models effectively. A comparison of VQC with the traditional multiple layer\u0000perception neural network reveals they perform similarly on the same datasets.\u0000This illustrates the feasibility to apply quantum machine learning to data\u0000analysis in collider physics experiments in the future.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201430","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}

{"title":"HEP Benchmark Suite: Enhancing Efficiency and Sustainability in Worldwide LHC Computing Infrastructures","authors":"Natalia Szczepanek, David Britton, Alessandro Di Girolamo, Ewoud Ketele, Ivan Glushkov, Domenico Giordano, Ladislav Ondris, Emanuele Simili, Gonzalo Menendez Borge","doi":"arxiv-2408.12445","DOIUrl":"https://doi.org/arxiv-2408.12445","url":null,"abstract":"As the scientific community continues to push the boundaries of computing\u0000capabilities, there is a growing responsibility to address the associated\u0000energy consumption and carbon footprint. This responsibility extends to the\u0000Worldwide LHC Computing Grid (WLCG), encompassing over 170 sites in 40\u0000countries, supporting vital computing, disk, tape storage and network for LHC\u0000experiments. Ensuring efficient operational practices across these diverse\u0000sites is crucial beyond mere performance metrics. This paper introduces the HEP Benchmark suite, an enhanced suite designed to\u0000measure computing resource performance uniformly across all WLCG sites, using\u0000HEPScore23 as performance unit. The suite expands beyond assessing only the\u0000execution speed via HEPScore23. In fact the suite incorporates metrics such as\u0000machine load, memory usage, memory swap, and notably, power consumption. Its\u0000adaptability and user-friendly interface enable comprehensive acquisition of\u0000system-related data alongside benchmarking. Throughout 2023, this tool underwent rigorous testing across numerous WLCG\u0000sites. The focus was on studying compute job slot performance and correlating\u0000these with fabric metrics. Initial analysis unveiled the tool's efficacy in\u0000establishing a standardized model for compute resource utilization while\u0000pinpointing anomalies, often stemming from site misconfigurations. This paper aims to elucidate the tool's functionality and present the results\u0000obtained from extensive testing. By disseminating this information, the\u0000objective is to raise awareness within the community about this probing model,\u0000fostering broader adoption and encouraging responsible computing practices that\u0000prioritize both performance and environmental impact mitigation.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201431","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}

{"title":"Vision Calorimeter for Anti-neutron Reconstruction: A Baseline","authors":"Hongtian Yu, Yangu Li, Mingrui Wu, Letian Shen, Yue Liu, Yunxuan Song, Qixiang Ye, Xiaorui Lyu, Yajun Mao, Yangheng Zheng, Yunfan Liu","doi":"arxiv-2408.10599","DOIUrl":"https://doi.org/arxiv-2408.10599","url":null,"abstract":"In high-energy physics, anti-neutrons ($bar{n}$) are fundamental particles\u0000that frequently appear as final-state particles, and the reconstruction of\u0000their kinematic properties provides an important probe for understanding the\u0000governing principles. However, this confronts significant challenges\u0000instrumentally with the electromagnetic calorimeter (EMC), a typical\u0000experimental sensor but recovering the information of incident $bar{n}$\u0000insufficiently. In this study, we introduce Vision Calorimeter (ViC), a\u0000baseline method for anti-neutron reconstruction that leverages deep learning\u0000detectors to analyze the implicit relationships between EMC responses and\u0000incident $bar{n}$ characteristics. Our motivation lies in that energy\u0000distributions of $bar{n}$ samples deposited in the EMC cell arrays embody rich\u0000contextual information. Converted to 2-D images, such contextual energy\u0000distributions can be used to predict the status of $bar{n}$ ($i.e.$, incident\u0000position and momentum) through a deep learning detector along with pseudo\u0000bounding boxes and a specified training objective. Experimental results\u0000demonstrate that ViC substantially outperforms the conventional reconstruction\u0000approach, reducing the prediction error of incident position by 42.81% (from\u000017.31$^{circ}$ to 9.90$^{circ}$). More importantly, this study for the first\u0000time realizes the measurement of incident $bar{n}$ momentum, underscoring the\u0000potential of deep learning detectors for particle reconstruction. Code is\u0000available at https://github.com/yuhongtian17/ViC.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201433","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}

{"title":"EFT Workshop at Notre Dame","authors":"Nick Smith, Daniel Spitzbart, Jennet Dickinson, Jon Wilson, Lindsey Gray, Kelci Mohrman, Saptaparna Bhattacharya, Andrea Piccinelli, Titas Roy, Garyfallia Paspalaki, Duarte Fontes, Adam Martin, William Shepherd, Sergio Sánchez Cruz, Dorival Goncalves, Andrei Gritsan, Harrison Prosper, Tom Junk, Kyle Cranmer, Michael Peskin, Andrew Gilbert, Jonathon Langford, Frank Petriello, Luca Mantani, Andrew Wightman, Charlotte Knight, Prasanth Shyamsundar, Aashwin Basnet, Giacomo Boldrini, Kevin Lannon","doi":"arxiv-2408.11229","DOIUrl":"https://doi.org/arxiv-2408.11229","url":null,"abstract":"The LPC EFT workshop was held April 25-26, 2024 at the University of Notre\u0000Dame. The workshop was organized into five thematic sessions: \"how far beyond\u0000linear\" discusses issues of truncation and validity in interpretation of\u0000results with an eye towards practicality; \"reconstruction-level results\" visits\u0000the question of how best to design analyses directly targeting inference of EFT\u0000parameters; \"logistics of combining likelihoods\" addresses the challenges of\u0000bringing a diverse array of measurements into a cohesive whole; \"unfolded\u0000results\" tackles the question of designing fiducial measurements for later use\u0000in EFT interpretations, and the benefits and limitations of unfolding; and\u0000\"building a sample library\" addresses how best to generate simulation samples\u0000for use in data analysis. This document serves as a summary of presentations,\u0000subsequent discussions, and actionable items identified over the course of the\u0000workshop.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201432","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}

{"title":"Improved measurements of $D^0 to K^-ell^+ν_ell$ and $D^+ to bar K^0ell^+ν_ell$","authors":"BESIII Collaboration","doi":"arxiv-2408.09087","DOIUrl":"https://doi.org/arxiv-2408.09087","url":null,"abstract":"Using 7.93 fb$^{-1}$ of $e^+e^-$ collision data collected at the\u0000center-of-mass energy of 3.773 GeV with the BESIII detector, we measure the\u0000absolute branching fractions of $D^0to K^-e^+nu_e$, $D^0to K^-mu^+nu_mu$,\u0000$D^+to bar K^0e^+nu_e$, and $D^+to bar K^0mu^+nu_mu$ to be\u0000$(3.509pm0.009_{rm stat.}pm0.013_{rm syst.}) %$, $(3.408pm0.011_{rm\u0000stat.}pm0.013_{rm syst.}) %$, $(8.856pm0.039_{rm stat.}pm0.078_{rm\u0000syst.}) %$, and $(8.661pm0.046_{rm stat.}pm0.080_{rm syst.}) %$,\u0000respectively. By performing a simultaneous fit to the partial decay rates of\u0000these four decays, the product of the hadronic form factor $f^K_+(0)$ and the\u0000modulus of the $cto s$ CKM matrix element $|V_{cs}|$ is determined to be\u0000$f^K_+(0)|V_{cs}|=0.7162pm0.0011_{rm stat.}pm0.0012_{rm syst.}$. Taking the\u0000value of $|V_{cs}|=0.97349pm0.00016$ from the standard model global fit or\u0000that of $f^K_+(0)=0.7452pm0.0031$ from the LQCD calculation as input, we\u0000derive the results $f^K_+(0)=0.7357pm0.0011_{rm stat.}pm0.0012_{rm syst.}$\u0000and $|V_{cs}|=0.9611pm0.0015_{rm stat.}pm0.0016_{rm syst.}pm0.0040_{rm\u0000LQCD}$.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201434","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}

{"title":"Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution","authors":"Felix J. Yu, Nicholas Kamp, Carlos A. Argüelles","doi":"arxiv-2408.08474","DOIUrl":"https://doi.org/arxiv-2408.08474","url":null,"abstract":"Recent discoveries by neutrino telescopes, such as the IceCube Neutrino\u0000Observatory, relied extensively on machine learning (ML) tools to infer\u0000physical quantities from the raw photon hits detected. Neutrino telescope\u0000reconstruction algorithms are limited by the sparse sampling of photons by the\u0000optical modules due to the relatively large spacing ($10-100,{rm m})$ between\u0000them. In this letter, we propose a novel technique that learns photon transport\u0000through the detector medium through the use of deep learning-driven\u0000super-resolution of data events. These ``improved'' events can then be\u0000reconstructed using traditional or ML techniques, resulting in improved\u0000resolution. Our strategy arranges additional ``virtual'' optical modules within\u0000an existing detector geometry and trains a convolutional neural network to\u0000predict the hits on these virtual optical modules. We show that this technique\u0000improves the angular reconstruction of muons in a generic ice-based neutrino\u0000telescope. Our results readily extend to water-based neutrino telescopes and\u0000other event morphologies.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201438","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}

{"title":"Combination of searches for singly produced vector-like top quarks in pp collisions at $sqrt{s} = 13$ TeV with the ATLAS detector","authors":"ATLAS Collaboration","doi":"arxiv-2408.08789","DOIUrl":"https://doi.org/arxiv-2408.08789","url":null,"abstract":"A combination of searches for the single production of vector-like top quarks\u0000($T$) is presented. These analyses are based on proton$-$proton collisions at\u0000$sqrt{s}=13$ TeV recorded in 2015$-$2018 with the ATLAS detector at the Large\u0000Hadron Collider, corresponding to an integrated luminosity of 139 fb$^{-1}$.\u0000The $T$-quark decay modes considered in this combination are into a top quark\u0000and either a Standard Model Higgs boson or a $Z$ boson ($T to Ht$ and $T to\u0000Zt$). The individual searches used in the combination are differentiated by the\u0000number of leptons ($e$, $mu$) in the final state. The observed data are found\u0000to be in good agreement with the Standard Model background prediction.\u0000Interpretations are provided for a range of masses and couplings of the\u0000vector-like top quark for benchmark models and generalized representations in\u0000terms of 95% confidence level limits. For a benchmark signal prediction of a\u0000vector-like top quark SU2 singlet with electroweak coupling, $kappa$, of 0.5,\u0000masses below 2.1 TeV are excluded, resulting in the most restrictive limits to\u0000date.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201439","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}

{"title":"The DAMA/LIBRA signal: an induced modulation effect?","authors":"R. S. James, K. Rule, E. Barberio, V. U. Bashu, L. J. Bignell, I. Bolognino, G. Brooks, S. S. Chhun, F. Dastgiri, A. R. Duffy, M. Froehlich, T. M. A. Fruth, G. Fu, G. C. Hill, K. Janssens, S. Kapoor, G. J. Lane, K. T. Leaver, P. McGee, L. J. McKie, P. C. McNamara, J. McKenzie, W. J. D. Melbourne, M. Mews, L. J. Milligan, J. Mould, F. Nuti, F. Scutti, Z. Slavkovska, N. J. Spinks, O. Stanley, A. E. Stuchbery, B. Suerfu, G. N. Taylor, P. Urquijo, A. G. Williams, Y. Xing, Y. Y. Zhong, M. J. Zurowski","doi":"arxiv-2408.08697","DOIUrl":"https://doi.org/arxiv-2408.08697","url":null,"abstract":"The persistence of the DAMA/LIBRA (DAMA) modulation over the past two decades\u0000has been a source of great contention within the dark matter community. The\u0000DAMA collaboration reports a persistent, modulating event rate within their\u0000setup of NaI(Tl) scintillating crystals at the INFN Laboratori Nazionali del\u0000Gran Sasso (LNGS) underground laboratory. A recent work alluded that this\u0000signal could have arisen due to an analysis artefact, caused by DAMA not\u0000accounting for time variation of decaying background radioisotopes in their\u0000analysis procedure. In this work, we examine in detail this 'induced\u0000modulation' effect, arguing that a number of aspects of the DAMA signal are\u0000incompatible with an induced modulation arising from decays of background\u0000isotopes over the lifetime of the experiment. Using a toy model of the\u0000DAMA/LIBRA experiment, we explore the induced modulation effect under different\u0000variations of the activities of the relevant isotopes - namely, $^3$H and\u0000$^{210}$Pb - highlighting the various inconsistencies between the resultant toy\u0000datasets and the DAMA signal. We stress the importance of the SABRE experiment,\u0000whose goal is to unambiguously test for the presence of such a modulating\u0000signal in an experiment using the same target material and comparable levels of\u0000background.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201437","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}

{"title":"Search for the rare decay $J/ψto γD^0+c.c.$ at BESIII","authors":"BESIII Collaboration, M. Ablikim, M. N. Achasov, P. Adlarson, O. Afedulidis, X. C. Ai, R. Aliberti, A. Amoroso, Q. An, Y. Bai, O. Bakina, I. Balossino, Y. Ban, H. -R. Bao, V. Batozskaya, K. Begzsuren, N. Berger, M. Berlowski, M. Bertani, D. Bettoni, F. Bianchi, E. Bianco, A. Bortone, I. Boyko, R. A. Briere, A. Brueggemann, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Cetin, X. Y. Chai, J. F. Chang, G. R. Che, Y. Z. Che, G. Chelkov, C. Chen, C. H. Chen, Chao Chen, G. Chen, H. S. Chen, H. Y. Chen, M. L. Chen, S. J. Chen, S. L. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Y. Q. Chen, Z. J. Chen, S. K. Choi, G. Cibinetto, F. Cossio, J. J. Cui, H. L. Dai, J. P. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, C. Q. Deng, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, B. Ding, X. X. Ding, Y. Ding, Y. Ding, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, M. C. Du, S. X. Du, Y. Y. Duan, Z. H. Duan, P. Egorov, G. F. Fan, J. J. Fan, Y. H. Fan, J. Fang, J. Fang, S. S. Fang, W. X. Fang, Y. Q. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, J. H. Feng, Y. T. Feng, M. Fritsch, C. D. Fu, J. L. Fu, Y. W. Fu, H. Gao, X. B. Gao, Y. N. Gao, Y. N. Gao, Yang Gao, S. Garbolino, I. Garzia, P. T. Ge, Z. W. Ge, C. Geng, E. M. Gersabeck, A. Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, S. Gramigna, M. Greco, M. H. Gu, Y. T. Gu, C. Y. Guan, A. Q. Guo, L. B. Guo, M. J. Guo, R. P. Guo, Y. P. Guo, A. Guskov, J. Gutierrez, K. L. Han, T. T. Han, F. Hanisch, X. Q. Hao, F. A. Harris, K. K. He, K. L. He, F. H. Heinsius, C. H. Heinz, Y. K. Heng, C. Herold, T. Holtmann, P. C. Hong, G. Y. Hou, X. T. Hou, Y. R. Hou, Z. L. Hou, B. Y. Hu, H. M. Hu, J. F. Hu, Q. P. Hu, S. L. Hu, T. Hu, Y. Hu, G. S. Huang, K. X. Huang, L. Q. Huang, P. Huang, X. T. Huang, Y. P. Huang, Y. S. Huang, T. Hussain, F. Hölzken, N. Hüsken, N. in der Wiesche, J. Jackson, S. Janchiv, Q. Ji, Q. P. Ji, W. Ji, X. B. Ji, X. L. Ji, Y. Y. Ji, X. Q. Jia, Z. K. Jia, D. Jiang, H. B. Jiang, P. C. Jiang, S. S. Jiang, T. J. Jiang, X. S. Jiang, Y. Jiang, J. B. Jiao, J. K. Jiao, Z. Jiao, S. Jin, Y. Jin, M. Q. Jing, X. M. Jing, T. Johansson, S. Kabana, N. Kalantar-Nayestanaki, X. L. Kang, X. S. Kang, M. Kavatsyuk, B. C. Ke, V. Khachatryan, A. Khoukaz, R. Kiuchi, O. B. Kolcu, B. Kopf, M. Kuessner, X. Kui, N. Kumar, A. Kupsc, W. Kühn, W. N. Lan, T. T. Lei, Z. H. Lei, M. Lellmann, T. Lenz, C. Li, C. Li, C. H. Li, Cheng Li, D. M. Li, F. Li, G. Li, H. B. Li, H. J. Li, H. N. Li, Hui Li, J. R. Li, J. S. Li, K. Li, K. L. Li, L. J. Li, Lei Li, M. H. Li, P. L. Li, P. R. Li, Q. M. Li, Q. X. Li, R. Li, T. Li, T. Y. Li, W. D. Li, W. G. Li, X. Li, X. H. Li, X. L. Li, X. Y. Li, X. Z. Li, Y. Li, Y. G. Li, Z. J. Li, Z. Y. Li, C. Liang, H. Liang, Y. F. Liang, Y. T. Liang, G. R. Liao, Y. P. Liao, J. Libby, A. Limphirat, C. C. Lin, C. X. Lin, D. X. Lin, T. Lin, B. J. Liu, B. X. Liu, C. Liu, C. X. Liu, F. Liu, F. H. Liu, Feng Liu, G. M. Liu, H. Liu, H. B. Liu, H. H. Liu, H. M. Liu, Huihui Liu, J. B. Liu, K. Liu, K. Y. Liu, Ke Liu, L. Liu, L. C. Liu, Lu Liu, M. H. Liu, P. L. Liu, Q. Liu, S. B. Liu, T. Liu, W. K. Liu, W. M. Liu, X. Liu, X. Liu, Y. Liu, Y. Liu, Y. B. Liu, Z. A. Liu, Z. D. Liu, Z. Q. Liu, X. C. Lou, F. X. Lu, H. J. Lu, J. G. Lu, Y. Lu, Y. P. Lu, Z. H. Lu, C. L. Luo, J. R. Luo, M. X. Luo, T. Luo, X. L. Luo, X. R. Lyu, Y. F. Lyu, F. C. Ma, H. Ma, H. L. Ma, J. L. Ma, L. L. Ma, L. R. Ma, Q. M. Ma, R. Q. Ma, R. Y. Ma, T. Ma, X. T. Ma, X. Y. Ma, Y. M. Ma, F. E. Maas, I. MacKay, M. Maggiora, S. Malde, Y. J. Mao, Z. P. Mao, S. Marcello, Y. H. Meng, Z. X. Meng, J. G. Messchendorp, G. Mezzadri, H. Miao, T. J. Min, R. E. Mitchell, X. H. Mo, B. Moses, N. Yu. Muchnoi, J. Muskalla, Y. Nefedov, F. Nerling, L. S. Nie, I. B. Nikolaev, Z. Ning, S. Nisar, Q. L. Niu, W. D. Niu, Y. Niu, S. L. Olsen, Q. Ouyang, S. Pacetti, X. Pan, Y. Pan, A. Pathak, Y. P. Pei, M. Pelizaeus, H. P. Peng, Y. Y. Peng, K. Peters, J. L. Ping, R. G. Ping, S. Plura, V. Prasad, F. Z. Qi, H. R. Qi, M. Qi, S. Qian, W. B. Qian, C. F. Qiao, J. H. Qiao, J. J. Qin, L. Q. Qin, L. Y. Qin, X. P. Qin, X. S. Qin, Z. H. Qin, J. F. Qiu, Z. H. Qu, C. F. Redmer, K. J. Ren, A. Rivetti, M. Rolo, G. Rong, Ch. Rosner, M. Q. Ruan, S. N. Ruan, N. Salone, A. Sarantsev, Y. Schelhaas, K. Schoenning, M. Scodeggio, K. Y. Shan, W. Shan, X. Y. Shan, Z. J. Shang, J. F. Shangguan, L. G. Shao, M. Shao, C. P. Shen, H. F. Shen, W. H. Shen, X. Y. Shen, B. A. Shi, H. Shi, J. L. Shi, J. Y. Shi, S. Y. Shi, X. Shi, J. J. Song, T. Z. Song, W. M. Song, Y. J. Song, Y. X. Song, S. Sosio, S. Spataro, F. Stieler, S. S Su, Y. J. Su, G. B. Sun, G. X. Sun, H. Sun, H. K. Sun, J. F. Sun, K. Sun, L. Sun, S. S. Sun, T. Sun, Y. J. Sun, Y. Z. Sun, Z. Q. Sun, Z. T. Sun, C. J. Tang, G. Y. Tang, J. Tang, M. Tang, Y. A. Tang, L. Y. Tao, M. Tat, J. X. Teng, V. Thoren, W. H. Tian, Y. Tian, Z. F. Tian, I. Uman, Y. Wan, S. J. Wang, B. Wang, Bo Wang, C. Wang, D. Y. Wang, H. J. Wang, J. J. Wang, J. P. Wang, K. Wang, L. L. Wang, L. W. Wang, M. Wang, N. Y. Wang, S. Wang, S. Wang, T. Wang, T. J. Wang, W. Wang, W. Wang, W. P. Wang, X. Wang, X. F. Wang, X. J. Wang, X. L. Wang, X. N. Wang, Y. Wang, Y. D. Wang, Y. F. Wang, Y. H. Wang, Y. L. Wang, Y. N. Wang, Y. Q. Wang, Yaqian Wang, Yi Wang, Z. Wang, Z. L. Wang, Z. Y. Wang, D. H. Wei, F. Weidner, S. P. Wen, Y. R. Wen, U. Wiedner, G. Wilkinson, M. Wolke, L. Wollenberg, C. Wu, J. F. Wu, L. H. Wu, L. J. Wu, Lianjie Wu, X. Wu, X. H. Wu, Y. H. Wu, Y. J. Wu, Z. Wu, L. Xia, X. M. Xian, B. H. Xiang, T. Xiang, D. Xiao, G. Y. Xiao, H. Xiao, Y. L. Xiao, Z. J. Xiao, C. Xie, X. H. Xie, Y. Xie, Y. G. Xie, Y. H. Xie, Z. P. Xie, T. Y. Xing, C. F. Xu, C. J. Xu, G. F. Xu, M. Xu, Q. J. Xu, Q. N. Xu, W. L. Xu, X. P. Xu, Y. Xu, Y. C. Xu, Z. S. Xu, F. Yan, L. Yan, W. B. Yan, W. C. Yan, W. P. Yan, X. Q. Yan, H. J. Yang, H. L. Yang, H. X. Yang, J. H. Yang, R. J. Yang, T. Yang, Y. Yang, Y. F. Yang, Y. X. Yang, Y. Z. Yang, Z. W. Yang, Z. P. Yao, M. Ye, M. H. Ye, Junhao Yin, Z. Y. You, B. X. Yu, C. X. Yu, G. Yu, J. S. Yu, M. C. Yu, T. Yu, X. D. Yu, C. Z. Yuan, J. Yuan, J. Yuan, L. Yuan, S. C. Yuan, Y. Yuan, Z. Y. Yuan, C. X. Yue, Ying Yue, A. A. Zafar, F. R. Zeng, S. H. Zeng, X. Zeng, Y. Zeng, Y. J. Zeng, Y. J. Zeng, X. Y. Zhai, Y. C. Zhai, Y. H. Zhan, A. Q. Zhang, B. L. Zhang, B. X. Zhang, D. H. Zhang, G. Y. Zhang, H. Zhang, H. Zhang, H. C. Zhang, H. H. Zhang, H. Q. Zhang, H. R. Zhang, H. Y. Zhang, J. Zhang, J. Zhang, J. J. Zhang, J. L. Zhang, J. Q. Zhang, J. S. Zhang, J. W. Zhang, J. X. Zhang, J. Y. Zhang, J. Z. Zhang, Jianyu Zhang, L. M. Zhang, Lei Zhang, P. Zhang, Q. Zhang, Q. Y. Zhang, R. Y. Zhang, S. H. Zhang, Shulei Zhang, X. M. Zhang, X. Y Zhang, X. Y. Zhang, Y. Zhang, Y. Zhang, Y. T. Zhang, Y. H. Zhang, Y. M. Zhang, Yan Zhang, Z. D. Zhang, Z. H. Zhang, Z. L. Zhang, Z. X. Zhang, Z. Y. Zhang, Z. Y. Zhang, Z. Z. Zhang, Zh. Zh. Zhang, G. Zhao, J. Y. Zhao, J. Z. Zhao, L. Zhao, Lei Zhao, M. G. Zhao, N. Zhao, R. P. Zhao, S. J. Zhao, Y. B. Zhao, Y. X. Zhao, Z. G. Zhao, A. Zhemchugov, B. Zheng, B. M. Zheng, J. P. Zheng, W. J. Zheng, X. R. Zheng, Y. H. Zheng, B. Zhong, X. Zhong, H. Zhou, J. Y. Zhou, S. Zhou, X. Zhou, X. K. Zhou, X. R. Zhou, X. Y. Zhou, Y. Z. Zhou, Z. C. Zhou, A. N. Zhu, J. Zhu, K. Zhu, K. J. Zhu, K. S. Zhu, L. Zhu, L. X. Zhu, S. H. Zhu, T. J. Zhu, W. D. Zhu, W. J. Zhu, W. Z. Zhu, Y. C. Zhu, Z. A. Zhu, J. H. Zou, J. Zu","doi":"arxiv-2408.08826","DOIUrl":"https://doi.org/arxiv-2408.08826","url":null,"abstract":"Using $(10087pm44)times10^6J/psi$ events collected with the BESIII\u0000detector, we search for the rare decay $J/psi to gamma D^0+c.c.$ for the\u0000first time. No obvious signal is observed and the upper limit on the branching\u0000fraction is determined to be ${cal B}(J/psi to gamma D^{0}+c.c.)< 9.1\u0000times 10^{-8}$ at 90% confidence level.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201436","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}

{"title":"Exploring New Physics with PandaX-4T Low Energy Electronic Recoil Data","authors":"PandaX Collaboration, Xinning Zeng, Zihao Bo, Wei Chen, Xun Chen, Yunhua Chen, Zhaokan Cheng, Xiangyi Cui, Yingjie Fan, Deqing Fang, Zhixing Gao, Lisheng Geng, Karl Giboni, Xunan Guo, Xuyuan Guo, Zichao Guo, Chencheng Han, Ke HanChangda He, Jinrong He, Di Huang, Houqi Huang, Junting Huang, Ruquan Hou, Yu Hou, Xiangdong Ji, Xiangpan Ji, Yonglin Ju, Chenxiang Li, Jiafu Li, Mingchuan Li, Shuaijie Li, Tao Li, Zhiyuan Li, Qing Lin, Jianglai Liu, Congcong Lu, Xiaoying Lu, Lingyin Luo, Yunyang Luo, Wenbo Ma, Yugang Ma, Yajun Mao, Yue Meng, Xuyang Ning, Binyu Pang, Ningchun Qi, Zhicheng Qian, Xiangxiang Ren, Dong Shan, Xiaofeng Shang, Xiyuan Shao, Guofang Shen, Manbin Shen, Wenliang Sun, Yi Tao, Anqing Wang, Guanbo Wang, Hao Wang, Jiamin Wang, Lei Wang, Meng Wang, Qiuhong Wang, Shaobo Wang, Siguang Wang, Wei Wang, Xiuli Wang, Xu Wang, Zhou Wang, Yuehuan Wei, Weihao Wu, Yuan Wu, Mengjiao Xiao, Xiang Xiao, Kaizhi Xiong, Yifan Xu, Shunyu Yao, Binbin Yan, Xiyu Yan, Yong Yang, Peihua Ye, Chunxu Yu, Ying Yuan, Zhe Yuan, Youhui Yun, Minzhen Zhang, Peng Zhang, Shibo Zhang, Shu Zhang, Tao Zhang, Wei Zhang, Yang Zhang, Yingxin Zhang, Yuanyuan Zhang, Li Zhao, Jifang Zhou, Jiaxu Zhou, Jiayi Zhou, Ning Zhou, Xiaopeng Zhou, Yubo Zhou, Zhizhen Zhou","doi":"arxiv-2408.07641","DOIUrl":"https://doi.org/arxiv-2408.07641","url":null,"abstract":"New particles beyond the Standard Model of particle physics, such as axions,\u0000can be effectively searched through their interactions with electrons. We use\u0000the large liquid xenon detector PandaX-4T to search for novel electronic recoil\u0000signals induced by solar axions, neutrinos with anomalous magnetic moment,\u0000axion-like particles, dark photons, and light fermionic dark matter. A detailed\u0000background model is established with the latest datasets with 1.54 $rm tonne\u0000cdot year$ exposure. No significant excess above the background has been\u0000observed, and we have obtained competitive constraints for axion couplings,\u0000neutrino magnetic moment, and fermionic dark matter interactions.","PeriodicalId":501181,"journal":{"name":"arXiv - PHYS - High Energy Physics - Experiment","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201440","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}