series of data samples was collected with the Belle Ⅱ detector at the SuperKEKB collider from March 2019 to June 2022.We determine the integrated luminosities of these data samples using three distinct methodologies ...series of data samples was collected with the Belle Ⅱ detector at the SuperKEKB collider from March 2019 to June 2022.We determine the integrated luminosities of these data samples using three distinct methodologies involving Bhabha(e^(+)e^(-)→e^(+)e^(-)(ny),digamma(e^(+)e^(-)→γγ(nγ),and dimuon(e^(+)e^(-)→μ^(+)μ^(-)(nγ)events.The total integrated luminosity obtained with Bhabha,digamma,and dimuon events is(426.88±0.03±2.61)fb^(-1),(429.28±0.03±2.62)fb^(-1),and(423.99±0.04±3.83)fb^(-1),where the first uncertainties are statistical and the second are systematic.The resulting total integrated luminosity obtained from the combination of the three methods is(427.87±2.01)fb^(-1).展开更多
Integrating renewable energy sources into the electricity grid introduces volatility and complexity,requiring advanced energy management systems.By optimizing the charging and discharging behavior of a building’s bat...Integrating renewable energy sources into the electricity grid introduces volatility and complexity,requiring advanced energy management systems.By optimizing the charging and discharging behavior of a building’s battery system,reinforcement learning effectively provides flexibility,managing volatile energy demand,dynamic pricing,and photovoltaic output to maximize rewards.However,the effectiveness of reinforcement learning is often hindered by limited access to training data due to privacy concerns,unstable training processes,and challenges in generalizing to different household conditions.In this study,we propose a novel federated framework for reinforcement learning in energy management systems.By enabling local model training on private data and aggregating only model parameters on a global server,this approach not only preserves privacy but also improves model generalization and robustness under varying household conditions,while decreasing electricity costs and emissions per building.For a comprehensive benchmark,we compare standard reinforcement learning with our federated approach and include mixed integer programming and rule-based systems.Among the reinforcement learning methods,deep deterministic policy gradient performed best on the Ausgrid dataset,with federated learning reducing costs by 5.01%and emissions by 4.60%.Federated learning also improved zero-shot performance for unseen buildings,reducing costs by 5.11%and emissions by 5.55%.Thus,our findings highlight the potential of federated reinforcement learning to enhance energy management systems by balancing privacy,sustainability,and efficiency.展开更多
Dihadron azimuthal correlations containing a high transverse momentum(pr)trigger particle are sensit-ive to the properties of the nuclear medium created at RHIC through the strong interactions occurring between the tr...Dihadron azimuthal correlations containing a high transverse momentum(pr)trigger particle are sensit-ive to the properties of the nuclear medium created at RHIC through the strong interactions occurring between the traversing parton and the medium,ie.jet-quenching.Previous measurements revealed a strong modification to di-hadron azimuthal correlations in Au+Au collisions with respect to ptp and d+Au collisions.The modification in-creases with the collision centrality,suggesting a path-length or energy density dependence to the je-quenching ef-fect.This paper reports STAR measurements of dihadron azimuthal correlations in mid-central(20%-60%)Au+Au collisions at√^(S)NN=200 GeV as a function of the trigger particle's azimuthal angle relative to the event plane,Ф_(s)=|Ф_(t)-ψ_(Ep)|.The azimuthal correlation is studied as a function of both the trigger and associated particle pr.The subtractions of the combinatorial background and anisotropic flow,assuming Zero Yield At Minimum(ZYAM),are described.The correlation results are first discussed with subtraction of the even harmonic(elliptic and quadrangu-lar)flow backgrounds.The away-side correlation is strongly modifed,and the modification varies withФ_(s),with a double-peak structure for out-of-plane trigger particles.The near-side ridge(long range pseudo-rapidity△_(η)correla-tion)appears to drop with increasingФ_(s)while the jet-like component remains approximately constant.The correla-tion functions are further studied with the subtraction of odd harmonic triangular flow background arising from fluc-tuations.It is found that the triangular flow,while responsible for the majority of the amplitudes,is not sufficient to explain theφs-dependence of the ridge or the away-side double-peak structure.The dropping ridge withФ_(s)could be attributed to aФ_(s)-dependent lliptie anisotropy;however,the physics mechanism of the ridge remains an open ques-tion.Even with aФ_(s)-dependent elliptic flow,the away-side correlation structure is robust.These results,with extens-ive systematic studies of the dihadron correlations as a function ofФ_(s),trigger and associated particle pT,and the pseudo-rapidity range△_(η),should provide stringent inputs to help understand the underlying physics mechanisms of jet-medium interactions in high energy nuclear collisions.展开更多
From April to July 2018,a data sample at the peak energy of the T(4 S) resonance was collected with the Belle Ⅱ detector at the SuperKEKB electron-positron collider.This is the first data sample of the Belle Ⅱ exper...From April to July 2018,a data sample at the peak energy of the T(4 S) resonance was collected with the Belle Ⅱ detector at the SuperKEKB electron-positron collider.This is the first data sample of the Belle Ⅱ experiment.Using Bhabha and digamma events,we measure the integrated luminosity of the data sample to be(496.3±0.3±3.0) pb-1,where the first uncertainty is statistical and the second is systematic.This work provides a basis for future luminosity measurements at Belle Ⅱ.展开更多
基金supported by Higher Education and Science Committee of the Republic of Armenia(23LCG-1C011)Australian Research Council and Research(DP200101792,DP210101900,DP210102831,DE220100462,LE210100098,LE230100085)+41 种基金Austrian Federal Ministry of Education,Science and Research,Austrian Science Fund(P 34529,J 4731,J 4625,M 3153)Horizon 2020 ERC Starting(947006)“InterLeptons”Natural Sciences and Engineering Research Council of Canada,Compute Canada and CANARIENational Key R&D Program of China(2022YFA1601903)National Natural Science Foundation of China(11575017,11761141009,11705209,11975076,12135005,12150004,12161141008,12175041)Natural Science Foundation Project of Shandong Province,China(ZR2022JQ02)the Czech Science Foundation(22-18469S)and Charles University Grant Agency(246122)European Research Council,Seventh Framework(PIEF-GA-2013-622527)Horizon 2020 ERC-Advanced(Grant Nos.267104 and 884719)Horizon 2020 ERC-Consolidator(819127)Horizon 2020 Marie Sklodowska-Curie Grant Agreement(700525)“NIOBE”and(101026516)Horizon 2020 Marie Sklodowska-Curie RISE project JENNIFER2 Grant Agreement(822070)(European grants)L'Institut National de Physique Nucléaire et de Physique des Particules(IN2P3)du CNRS and L'Agence Nationale de la Recherche(ANR)(ANR-21-CE31-0009)(France)BMBF,DFG,HGF,MPG,and AvH Foundation(Germany)Department of Atomic Energy under Project Identification(RTI 4002)Department of Science and Technology,and UPES SEED funding programs(UPES/R&D-SEED-INFRA/17052023/01,UPES/R&D-SOE/20062022/06)(India)Israel Science Foundation(2476/17)U.S.-Israel Binational Science Foundation(2016113)Israel Ministry of Science(3-16543)Istituto Nazionale di Fisica Nucleare and the Research Grants BELLE2Japan Society for the Promotion of Science,Grant-in-Aid for Scientific Research(16H03968,16H03993,16H06492,16K05323,17H01133,17H05405,18K03621,18H03710,18H05226,19H00682,20H05850,20H05858,22H00144,22K14056,22K21347,23H05433,26220706,26400255)the Ministry of Education,Culture,Sports,Science,and Technology(MEXT)of JapanNational Research Foundation(NRF)of Korea(2016R1D1A1B02012900,2018R1A2B3003643,2018R1A6A1A06024970,2019R1I1A3A01058933,2021R1A6A1A03043957,2021R1F1A1060423,2021R1F1A1064008,2022R1A2C1003993,RS-2022-00197659)Radiation Science Research Institute,Foreign Large-Size Research Facility Application Supporting project,the Global Science Experimental Data Hub Center of the Korea Institute of Science and Technology Information and KREONET/GLORIADUniversiti Malaya RU grant,Akademi Sains Malaysia,and Ministry of Education MalaysiaFrontiers of Science Program(FOINS-296,CB-221329,CB-236394,CB-254409,CB-180023)SEP-CINVESTAV Research(237)(Mexico)the Polish Ministry of Science and Higher Education and the National Science Centerthe Ministry of Science and Higher Education of the Russian Federation and the HSE University Basic Research Program,MoscowUniversity of Tabuk Research(S-0256-1438,S-0280-1439)(Saudi Arabia)Slovenian Research Agency and Research(J1-9124,P1-0135)Agencia Estatal de Investigacion,Spain(RYC2020-029875-I)Generalitat Valenciana,Spain(CIDEGENT/2018/020)The Knut and Alice Wallenberg Foundation(Sweden),(2021.0174,2021.0299)National Science and Technology Council,and Ministry of EducationThailand Center of Excellence in PhysicsTUBITAK ULAKBIM(Turkey)National Research Foundation of Ukraine,(2020.02/0257)Ministry of Education and Science of Ukrainethe U.S.National Science Foundation and Research(PHY-1913789,PHY-2111604)the U.S.Department of Energy and Research Awards(DE-AC06-76RLO1830,DE-SC0007983,DESC0009824,DE-SC0009973,DE-SC0010007,DE-SC0010073,DE-SC0010118,DE-SC0010504,DE-SC0011784,DE-SC0012704,DE-SC0019230,DESC0021274,DE-SC0021616,DE-SC0022350,DE-SC0023470)the Vietnam Academy of Science and Technology(VAST)(NVCC.05.12/22-23,DL0000.02/24-25)。
文摘series of data samples was collected with the Belle Ⅱ detector at the SuperKEKB collider from March 2019 to June 2022.We determine the integrated luminosities of these data samples using three distinct methodologies involving Bhabha(e^(+)e^(-)→e^(+)e^(-)(ny),digamma(e^(+)e^(-)→γγ(nγ),and dimuon(e^(+)e^(-)→μ^(+)μ^(-)(nγ)events.The total integrated luminosity obtained with Bhabha,digamma,and dimuon events is(426.88±0.03±2.61)fb^(-1),(429.28±0.03±2.62)fb^(-1),and(423.99±0.04±3.83)fb^(-1),where the first uncertainties are statistical and the second are systematic.The resulting total integrated luminosity obtained from the combination of the three methods is(427.87±2.01)fb^(-1).
基金support by the KIT-Publication Fund of the Karl-sruhe Institute of Technology,Germanyfunded by the German Research Foundation(DFG),Germany as part of the Research Training Group 2153:“Energy Status Data-Informatics Methods for its Collection,Analysis,and Exploitation”supported by the Helmholtz Association in the Program Energy System Design.
文摘Integrating renewable energy sources into the electricity grid introduces volatility and complexity,requiring advanced energy management systems.By optimizing the charging and discharging behavior of a building’s battery system,reinforcement learning effectively provides flexibility,managing volatile energy demand,dynamic pricing,and photovoltaic output to maximize rewards.However,the effectiveness of reinforcement learning is often hindered by limited access to training data due to privacy concerns,unstable training processes,and challenges in generalizing to different household conditions.In this study,we propose a novel federated framework for reinforcement learning in energy management systems.By enabling local model training on private data and aggregating only model parameters on a global server,this approach not only preserves privacy but also improves model generalization and robustness under varying household conditions,while decreasing electricity costs and emissions per building.For a comprehensive benchmark,we compare standard reinforcement learning with our federated approach and include mixed integer programming and rule-based systems.Among the reinforcement learning methods,deep deterministic policy gradient performed best on the Ausgrid dataset,with federated learning reducing costs by 5.01%and emissions by 4.60%.Federated learning also improved zero-shot performance for unseen buildings,reducing costs by 5.11%and emissions by 5.55%.Thus,our findings highlight the potential of federated reinforcement learning to enhance energy management systems by balancing privacy,sustainability,and efficiency.
基金Supported in part by the Offices of NP and HEP within the U.S.DOE Office of Sciencethe U.S.NSF+18 种基金the Sloan Foundationthe DFG cluster of excellence‘Origin and Structure of the Universe’of Germany,CNRS/IN2P3STFC and EPSRC of the United KingdomFAPESP CNPq of Brazil,Ministry of Ed.Sci.of the Russian FederationNNSFCCASMoSTMoE of ChinaGA and MSMT of the Czech RepublicFOM and NWO of the NetherlandsDAEDSTCSIR of IndiaPolish Ministry of Sci.Higher Ed.,Korea Research Foundation,Ministry of Sci.,Ed.Sports of the Rep.Of CroatiaRussian Ministry of Sci.and TechRos-Atom of Russia。
文摘Dihadron azimuthal correlations containing a high transverse momentum(pr)trigger particle are sensit-ive to the properties of the nuclear medium created at RHIC through the strong interactions occurring between the traversing parton and the medium,ie.jet-quenching.Previous measurements revealed a strong modification to di-hadron azimuthal correlations in Au+Au collisions with respect to ptp and d+Au collisions.The modification in-creases with the collision centrality,suggesting a path-length or energy density dependence to the je-quenching ef-fect.This paper reports STAR measurements of dihadron azimuthal correlations in mid-central(20%-60%)Au+Au collisions at√^(S)NN=200 GeV as a function of the trigger particle's azimuthal angle relative to the event plane,Ф_(s)=|Ф_(t)-ψ_(Ep)|.The azimuthal correlation is studied as a function of both the trigger and associated particle pr.The subtractions of the combinatorial background and anisotropic flow,assuming Zero Yield At Minimum(ZYAM),are described.The correlation results are first discussed with subtraction of the even harmonic(elliptic and quadrangu-lar)flow backgrounds.The away-side correlation is strongly modifed,and the modification varies withФ_(s),with a double-peak structure for out-of-plane trigger particles.The near-side ridge(long range pseudo-rapidity△_(η)correla-tion)appears to drop with increasingФ_(s)while the jet-like component remains approximately constant.The correla-tion functions are further studied with the subtraction of odd harmonic triangular flow background arising from fluc-tuations.It is found that the triangular flow,while responsible for the majority of the amplitudes,is not sufficient to explain theφs-dependence of the ridge or the away-side double-peak structure.The dropping ridge withФ_(s)could be attributed to aФ_(s)-dependent lliptie anisotropy;however,the physics mechanism of the ridge remains an open ques-tion.Even with aФ_(s)-dependent elliptic flow,the away-side correlation structure is robust.These results,with extens-ive systematic studies of the dihadron correlations as a function ofФ_(s),trigger and associated particle pT,and the pseudo-rapidity range△_(η),should provide stringent inputs to help understand the underlying physics mechanisms of jet-medium interactions in high energy nuclear collisions.
基金supported by the following funding sources:Science Committee of the Republic of Armenia Grant No.18T-1C180Australian Research Council and research grant Nos.DP180102629,DP170102389,DP170102204,DP150103061,FT130100303,and FT130100018+37 种基金Austrian Federal Ministry of Education,Science and Research,and Austrian Science Fund No.P 31361-N36Natural Sciences and Engineering Research Council of Canada,Compute Canada and CANARIEChinese Academy of Sciences and research grant No.QYZDJ-SSW-SLH011National Natural Science Foundation of China and research grant Nos.11521505,11575017,11675166,11761141009,11705209,and 11975076LiaoNing Revitalization Talents Program under contract No.XLYC1807135Shanghai Municipal Science and Technology Committee under contract No.19ZR1403000Shanghai Pujiang Program under Grant No.18PJ1401000the CAS Center for Excellence in Particle Physics(CCEPP)the Ministry of Education,Youth and Sports of the Czech Republic under Contract No.LTT17020Charles University grants SVV260448 and GAUK 404316European Research Council,7th Framework PIEF-GA-2013-622527Horizon 2020 Marie Sklodowska-Curie grant agreement No.700525’NIOBE,’Horizon 2020 Marie Sklodowska-Curie RISE project JENNIFER grant agreement No.644294Horizon 2020 ERC-Advanced Grant No.267104NewAve No.638528(European grants)L’Institut National de Physique Nucléaire et de Physique des Particules(IN2P3)du CNRS(France),BMBF,DFG,HGF,MPG and AvH Foundation(Germany)Department of Atomic Energy and Department of Science and Technology(India)Israel Science Foundation grant No.2476/17United States-Israel Binational Science Foundation grant No.2016113Istituto Nazionale di Fisica Nucleare and the research grants BELLE2Japan Society for the Promotion of Science,Grant-in-Aid for Scientific Research grant Nos.16H03968,16H03993,16H06492,16K05323,17H01133,17H05405,18K03621,18H03710,18H05226,19H00682,26220706,and 26400255the National Institute of Informatics,and Science Information NETwork 5(SINET5)the Ministry of Education,Culture,Sports,Science,and Technology(MEXT)of JapanNational Research Foundation(NRF)of Korea Grant Nos.2016R1D1A1B01010135,2016R1D1A1B02012900,2018R1A2B3003643,2018R1A6A1A06024970,2018R1D1A1B07047294,2019K1A3A7A09033840,and 2019R1I1A3A01058933Radiation Science Research Institute,Foreign Large-size Research Facility Application Supporting project,the Global Science Experimental Data Hub Center of the Korea Institute of Science and Technology Information and KREONET/GLORIADUniversiti Malaya RU grant,Akademi Sains Malaysia and Ministry of Education MalaysiaFrontiers of Science Program contracts FOINS-296,CB-221329,CB-236394,CB-254409,and CB-180023,and the Thematic Networks program(Mexico)the Polish Ministry of Science and Higher Education and the National Science Centerthe Ministry of Science and Higher Education of the Russian Federation,Agreement14.W03.31.0026Slovenian Research Agency and research grant Nos.J1-9124 and P1-0135Agencia Estatal de Investigacion,Spain grant Nos.FPA2014-55613-P and FPA2017-84445-P,and CIDEGENT/2018/020 of Generalitat ValencianaMinistry of Science and Technology and research grant Nos.MOST106-2112-M-002-005-MY3 and MOST107-2119-M-002-035-MY3,and the Ministry of Education(Taiwan)Thailand Center of Excellence in PhysicsTUBITAK ULAKBIM(Turkey)Ministry of Education and Science of Ukrainethe US National Science Foundation and research grant Nos.PHY-1807007 and PHY-1913789the US Department of Energy and research grant Nos.DE-AC06-76RLO1830,DE-SC0007983,DE-SC0009824,DE-SC0009973,DE-SC0010073,DE-SC0010118,DE-SC0010504,DESC0011784,DE-SC0012704the National Foundation for Science and Technology Development(NAFOSTED)of Vietnam under grant No 103.99-2018.45
文摘From April to July 2018,a data sample at the peak energy of the T(4 S) resonance was collected with the Belle Ⅱ detector at the SuperKEKB electron-positron collider.This is the first data sample of the Belle Ⅱ experiment.Using Bhabha and digamma events,we measure the integrated luminosity of the data sample to be(496.3±0.3±3.0) pb-1,where the first uncertainty is statistical and the second is systematic.This work provides a basis for future luminosity measurements at Belle Ⅱ.
