Due to the digital transformation tendency among cultural institutions and the substantial influence of the social media platform,the demands of visual communication keep increasing for promoting traditional cultural ...Due to the digital transformation tendency among cultural institutions and the substantial influence of the social media platform,the demands of visual communication keep increasing for promoting traditional cultural artifacts online.As an effective medium,posters serve to attract public attention and facilitate broader engagement with cultural artifacts.However,existing poster generation methods mainly rely on fixed templates and manual design,which limits their scalability and adaptability to the diverse visual and semantic features of the artifacts.Therefore,we propose CAPGen,an automated aesthetic Cultural Artifacts Poster Generation framework built on a Multimodal Large Language Model(MLLM)with integrated iterative optimization.During our research,we collaborated with designers to define principles of graphic design for cultural artifact posters,to guide the MLLM in generating layout parameters.Later,we generated these parameters into posters.Finally,we refined the posters using an MLLM integrated with a multi-round iterative optimization mechanism.Qualitative results show that CAPGen consistently outperforms baseline methods in both visual quality and aesthetic performance.Furthermore,ablation studies indicate that the prompt,iterative optimization mechanism,and design principles significantly enhance the effectiveness of poster generation.展开更多
The Jiangmen Underground Neutrino Observatory(JUNO)started physics data taking on 26 August 2025.JUNO consists of a 20-kton liquid scintillator central detector,surrounded by a 35 kton water pool serving as a Cherenko...The Jiangmen Underground Neutrino Observatory(JUNO)started physics data taking on 26 August 2025.JUNO consists of a 20-kton liquid scintillator central detector,surrounded by a 35 kton water pool serving as a Cherenkov veto,and almost 1000 m^(2) of plastic scintillator veto on top.The detector is located in a shallow underground laboratory with an overburden of 1800 m.w.e.This paper presents the performance results of the detector,extensively studied during the commissioning of the water phase,the subsequent liquid scintillator filling phase,and the first physics runs.The liquid scintillator achieved an attenuation length of 20.6 m at 430 nm,while the high coverage PMT system and scintillator together yielded about 1785 photoelectrons per MeV of energy deposit at the detector centre,measured using the 2.223 MeVγfrom neutron captures on hydrogen with an Am-C calibration source.The reconstructed energy resolution is 3.4%for two 0.511 MeVγat the detector centre and 2.9%for the 0.93 MeV quenched ^(214)Po alpha decays from natural radioactive sources.The energy non-linearity is calibrated to better than 1%.Intrinsic contaminations of ^(238)U and ^(232)Th in the liquid scintillator are below 10^(-16) g/g,assuming secular equilibrium.The water Cherenkov detector achieves a muon detection efficiency better than 99.9%for muons traversing the liquid scintillator volume.During the initial science runs,the data acquisition duty cycle exceeded 97.8%,demonstrating the excellent stability and readiness of JUNO for high-precision neutrino physics.展开更多
The Jiangmen Underground Neutrino Observatory(JUNO)is a multi-purpose neutrino experiment under construction in South China.This paper presents an updated estimate of JUNO’s sensitivity to neutrino mass ordering usin...The Jiangmen Underground Neutrino Observatory(JUNO)is a multi-purpose neutrino experiment under construction in South China.This paper presents an updated estimate of JUNO’s sensitivity to neutrino mass ordering using the reactor antineutrinos emitted from eight nuclear reactor cores in the Taishan and Yangjiang nuclear power plants.This measurement is planned by studying the fine interference pattern caused by quasi-vacuum oscillations in the oscillated antineutrino spectrum at a baseline of 52.5 km and is completely independent of the CP violating phase and neutrino mixing angleθ_(23).The sensitivity is obtained through a joint analysis of JUNO and Taishan Antineutrino Observatory(TAO)detectors utilizing the best available knowledge to date about the location and overburden of the JUNO experimental site,local and global nuclear reactors,JUNO and TAO detector responses,expected event rates and spectra of signals and backgrounds,and systematic uncertainties of analysis inputs.We find that a 3σmedian sensitivity to reject the wrong mass ordering hypothesis can be reached with an exposure of about 6.5 years×26.6 GW thermal power.展开更多
JUNO is a multi-purpose neutrino observatory under construction in the south of China.This publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)...JUNO is a multi-purpose neutrino observatory under construction in the south of China.This publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the experiment.The sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite detector.It is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data collection.In the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering hypothesis.The new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.展开更多
Accurate fission cross section data are essential for nuclear science and engineering.Traditional fission cross section measurements using the fission ionization chamber struggle to satisfy the accuracy requirements.T...Accurate fission cross section data are essential for nuclear science and engineering.Traditional fission cross section measurements using the fission ionization chamber struggle to satisfy the accuracy requirements.The Time Projection Chamber(TPC)is a potential detector for high accuracy fission cross section measurement based on its track reconstruction and particle identification capacities.Using the Multi-purpose Time Projection Chamber(MTPC)at the China Spallation Neutron Source(CSNS),we have previously measured the cross sections of the ^(232)Th(n,f)reaction based on the mono-energetic neutron source at Peking University(PKU),showing the potential of high accuracy fission cross section measurement.In this study,cross sections of the ^(235)U(n,f)reaction were measured at 43 energies(10 energy bins per magnitude in equal logarithm intervals)and 215 energies(50 energy bins per magnitude in equal logarithm intervals)in the neutron energy range from 0.5 eV to 10 keV using the MTPC based on the CSNS Back-n white neutron source.The results are consistent with the data in the evaluation libraries,showing the reliability of the fission cross section measurement method using the MTPC.The measurement of the fission cross sections using the MTPC is extended from mono-energetic to white neutron sources.This study presents the first cross section results measured by the MTPC based on the CSNS Back-n white neutron source.With a longer beam time in future measurements,the uncertainties of the fission cross sections are expected to be greatly reduced.展开更多
Purpose The Large High Altitude Air Shower Observatory(LHAASO)is a hybrid extensive air shower(EAS)array.It consists of 3 types of detector arrays and about 9500 detector units in total.Status information generated by...Purpose The Large High Altitude Air Shower Observatory(LHAASO)is a hybrid extensive air shower(EAS)array.It consists of 3 types of detector arrays and about 9500 detector units in total.Status information generated by data acquisition system(DAQ),including signal count rates of detectors,is stored temporarily in Redis and updated periodically.Redis is an open-source in-memory database.The control interface of DAQ's data flow software is also based on Redis.According to the monitoring and control requirements,status data from DAQ system need to be stored.Overview status of data flow software and detectors should be displayed.For automatic operation mode,common software and hardware faults should be detected and recovered automatically.Methods Status information collection,analysis and automatic operation control are implemented in multiple services.The information collection programs collect the operation status data from the DAQ and monitor the operation status of the computing nodes.All information is cached in Kafka.Kafka is an open-source distributed event streaming platform.The DAQ data flow controller program obtains the status data from Kafka,analyzes the operation status,and tries to recover the fault by modifying the DAQ configuration file and restarting DAQ.In this architecture,the automatic control logic can be easily updated by modifying and restarting a single service.Finally,the monitoring data are structured and stored in MongoDB.Results and Conclusions The software can monitor the detectors,electronics and computing nodes in LHAASO,save monitoring data in MongoDB,and control the DAQ data flow software.When a fault occurs,it can restart the DAQ data flow software.The software meets the auto-control operation requirements of LHAASO.展开更多
基金supported by the National Key Research and Development Program of China(2023YFF0906502)the Postgraduate Research and Innovation Project of Hunan Province under Grant(CX20240473).
文摘Due to the digital transformation tendency among cultural institutions and the substantial influence of the social media platform,the demands of visual communication keep increasing for promoting traditional cultural artifacts online.As an effective medium,posters serve to attract public attention and facilitate broader engagement with cultural artifacts.However,existing poster generation methods mainly rely on fixed templates and manual design,which limits their scalability and adaptability to the diverse visual and semantic features of the artifacts.Therefore,we propose CAPGen,an automated aesthetic Cultural Artifacts Poster Generation framework built on a Multimodal Large Language Model(MLLM)with integrated iterative optimization.During our research,we collaborated with designers to define principles of graphic design for cultural artifact posters,to guide the MLLM in generating layout parameters.Later,we generated these parameters into posters.Finally,we refined the posters using an MLLM integrated with a multi-round iterative optimization mechanism.Qualitative results show that CAPGen consistently outperforms baseline methods in both visual quality and aesthetic performance.Furthermore,ablation studies indicate that the prompt,iterative optimization mechanism,and design principles significantly enhance the effectiveness of poster generation.
文摘The Jiangmen Underground Neutrino Observatory(JUNO)started physics data taking on 26 August 2025.JUNO consists of a 20-kton liquid scintillator central detector,surrounded by a 35 kton water pool serving as a Cherenkov veto,and almost 1000 m^(2) of plastic scintillator veto on top.The detector is located in a shallow underground laboratory with an overburden of 1800 m.w.e.This paper presents the performance results of the detector,extensively studied during the commissioning of the water phase,the subsequent liquid scintillator filling phase,and the first physics runs.The liquid scintillator achieved an attenuation length of 20.6 m at 430 nm,while the high coverage PMT system and scintillator together yielded about 1785 photoelectrons per MeV of energy deposit at the detector centre,measured using the 2.223 MeVγfrom neutron captures on hydrogen with an Am-C calibration source.The reconstructed energy resolution is 3.4%for two 0.511 MeVγat the detector centre and 2.9%for the 0.93 MeV quenched ^(214)Po alpha decays from natural radioactive sources.The energy non-linearity is calibrated to better than 1%.Intrinsic contaminations of ^(238)U and ^(232)Th in the liquid scintillator are below 10^(-16) g/g,assuming secular equilibrium.The water Cherenkov detector achieves a muon detection efficiency better than 99.9%for muons traversing the liquid scintillator volume.During the initial science runs,the data acquisition duty cycle exceeded 97.8%,demonstrating the excellent stability and readiness of JUNO for high-precision neutrino physics.
基金Supported by the Chinese Academy of Sciences,the National Key R&D Program of Chinathe CAS Center for Excellence in Particle Physics,Wuyi University,and the TsungDao Lee Institute of Shanghai Jiao Tong University in China+3 种基金the Institut National de Physique Nucléaire et de Physique de Particules(IN2P3)in Francethe Istituto Nazionale di Fisica Nucleare(INFN)in Italy,the Italian-Chinese collaborative research program MAECI-NSFC,the Fond de la Recherche Scientifique(F.R.S-FNRS)and FWO under the“Excellence of Science–EOS”in Belgium,the Conselho Nacional de Desenvolvimento Cient´ıfico e Tecnol`ogico in Brazil,the Agencia Nacional de Investigacion y Desarrollo and ANID-Millennium Science Initiative Program-ICN2019_044 in Chilethe Charles University Research Centre and the Ministry of Education,Youth,and Sports in Czech Republic,the Deutsche Forschungsgemeinschaft(DFG)the Helmholtz Association,and the Cluster of Excellence PRISMA+in Germany,the Joint Institute of Nuclear Research(JINR)and Lomonosov Moscow State University in Russia,the joint Russian Science Foundation(RSF)and National Natural Science Foundation of China(NSFC)research program,the MOST and MOE in Taiwan,China,the Chulalongkorn University and Suranaree University of Technology in Thailand,University of California at Irvine and the National Science Foundation in the US。
文摘The Jiangmen Underground Neutrino Observatory(JUNO)is a multi-purpose neutrino experiment under construction in South China.This paper presents an updated estimate of JUNO’s sensitivity to neutrino mass ordering using the reactor antineutrinos emitted from eight nuclear reactor cores in the Taishan and Yangjiang nuclear power plants.This measurement is planned by studying the fine interference pattern caused by quasi-vacuum oscillations in the oscillated antineutrino spectrum at a baseline of 52.5 km and is completely independent of the CP violating phase and neutrino mixing angleθ_(23).The sensitivity is obtained through a joint analysis of JUNO and Taishan Antineutrino Observatory(TAO)detectors utilizing the best available knowledge to date about the location and overburden of the JUNO experimental site,local and global nuclear reactors,JUNO and TAO detector responses,expected event rates and spectra of signals and backgrounds,and systematic uncertainties of analysis inputs.We find that a 3σmedian sensitivity to reject the wrong mass ordering hypothesis can be reached with an exposure of about 6.5 years×26.6 GW thermal power.
基金Supported by the Chinese Academy of Sciencesthe National Key R&D Program of China+18 种基金the CAS Center for Excellence in Particle Physics,Wuyi Universitythe Tsung-Dao Lee Institute of Shanghai Jiao Tong University in Chinathe Institut National de Physique Nucléaire et de Physique de Particules(IN2P3)in Francethe Istituto Nazionale di Fisica Nucleare(INFN)in Italythe Italian-Chinese collaborative research program MAECI-NSFCthe Fond de la Recherche Scientifique(F.R.S-FNRS)FWO under the“Excellence of Science-EOS in Belgium”the Conselho Nacional de Desenvolvimento Científico e Tecnològico in Brazilthe Agencia Nacional de Investigacion y Desarrollo and ANID-Millennium Science Initiative Program-ICN2019_044 in Chilethe Charles University Research Centre and the Ministry of Education,Youth,and Sports in Czech Republicthe Deutsche Forschungsgemeinschaft(DFG)the Helmholtz Associationthe Cluster of Excellence PRISMA+in Germanythe Joint Institute of Nuclear Research(JINR)and Lomonosov Moscow State University in Russiathe joint Russian Science Foundation(RSF)National Natural Science Foundation of China(NSFC)research programthe MOST and MOE in Taiwanthe Chulalongkorn University and Suranaree University of Technology in Thailand,University of California at Irvinethe National Science Foundation in USA。
文摘JUNO is a multi-purpose neutrino observatory under construction in the south of China.This publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the experiment.The sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite detector.It is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data collection.In the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering hypothesis.The new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.
基金financially supported by the Key Laboratory of Nuclear Data foundation(6142A08200103)the Guangdong Basic and Applied Basic Research Foundation(2021B1515120027)。
文摘Accurate fission cross section data are essential for nuclear science and engineering.Traditional fission cross section measurements using the fission ionization chamber struggle to satisfy the accuracy requirements.The Time Projection Chamber(TPC)is a potential detector for high accuracy fission cross section measurement based on its track reconstruction and particle identification capacities.Using the Multi-purpose Time Projection Chamber(MTPC)at the China Spallation Neutron Source(CSNS),we have previously measured the cross sections of the ^(232)Th(n,f)reaction based on the mono-energetic neutron source at Peking University(PKU),showing the potential of high accuracy fission cross section measurement.In this study,cross sections of the ^(235)U(n,f)reaction were measured at 43 energies(10 energy bins per magnitude in equal logarithm intervals)and 215 energies(50 energy bins per magnitude in equal logarithm intervals)in the neutron energy range from 0.5 eV to 10 keV using the MTPC based on the CSNS Back-n white neutron source.The results are consistent with the data in the evaluation libraries,showing the reliability of the fission cross section measurement method using the MTPC.The measurement of the fission cross sections using the MTPC is extended from mono-energetic to white neutron sources.This study presents the first cross section results measured by the MTPC based on the CSNS Back-n white neutron source.With a longer beam time in future measurements,the uncertainties of the fission cross sections are expected to be greatly reduced.
文摘Purpose The Large High Altitude Air Shower Observatory(LHAASO)is a hybrid extensive air shower(EAS)array.It consists of 3 types of detector arrays and about 9500 detector units in total.Status information generated by data acquisition system(DAQ),including signal count rates of detectors,is stored temporarily in Redis and updated periodically.Redis is an open-source in-memory database.The control interface of DAQ's data flow software is also based on Redis.According to the monitoring and control requirements,status data from DAQ system need to be stored.Overview status of data flow software and detectors should be displayed.For automatic operation mode,common software and hardware faults should be detected and recovered automatically.Methods Status information collection,analysis and automatic operation control are implemented in multiple services.The information collection programs collect the operation status data from the DAQ and monitor the operation status of the computing nodes.All information is cached in Kafka.Kafka is an open-source distributed event streaming platform.The DAQ data flow controller program obtains the status data from Kafka,analyzes the operation status,and tries to recover the fault by modifying the DAQ configuration file and restarting DAQ.In this architecture,the automatic control logic can be easily updated by modifying and restarting a single service.Finally,the monitoring data are structured and stored in MongoDB.Results and Conclusions The software can monitor the detectors,electronics and computing nodes in LHAASO,save monitoring data in MongoDB,and control the DAQ data flow software.When a fault occurs,it can restart the DAQ data flow software.The software meets the auto-control operation requirements of LHAASO.
