A Study on Stochastic Resonance for the Process of Active-passive Transition of Iron in Sulfuric Acid

本文描述了铁在硫酸中活化 钝化转移过程的双稳特征 ,并模拟出该过程的随机共振现象 .The bistable characteristics of the process of active passive transition of iron in sulfuric acid was described and the stochastic resonance phenomenon in the process was simulated.作者联系地址：中国科技大学应用化学系!安徽合肥230026,中国科技大学应用化学系!安徽合肥230026,中国科技大学应用化学系!安徽合肥230026,中国科技大学应用化学系!安徽合肥230026,Dept. of Chen.Univ.of Modenaand Reggio Enilia!41100Modena,ItalyAuthor's Address: Dept.of Applied Chem.,Univ. of Sci. and Tech. of China,Hefei 230026,China Renato Seeber Dept. of Chem.,Univ. of Modena and Reggio Emilia,41100 Modena,Ital

A Study for the Data Analysis of Electrochemical Noise with Wavelet Analysis

电化学动力系统演化过程中 ,其状态参量 (如电极电位、电解池电流等 )的随机波动现象被称为“电化学噪音”(ECN) .小波变换是近年来数学与信号处理领域获得突破性进展的一种数据处理方法 .本文首次用连续小波变换的方法对混凝土中钢筋腐蚀产生的“电化学噪音”信号进行初步研究 ,通过将原始的时域信号变换至时_频相平面来观察其结构特征 ,并揭示出电化学腐蚀过程的混沌动力学行为 .In the process of electrochemical dynamics system,the phenomenon of the random fluctuations of electrochemical parameters(electrode potential,cell current,etc.)is called “Electrochemical Noise”(ECN).Wavelets analysis is one new data analysis technique which has undergone a breakthrough in the area of mathematics and singnal processing in recent years.In this paper,the technique of continuous wavelet transform has been employed to investigate electrochemical noise data,and the chaotic nature of corrosion process has been manifested.作者联系地址：中国科学技术大学应用化学系!安徽合肥230026,中国科学技术大学应用化学系!安徽合肥230026,中国科学技术大学应用化学系!安徽合肥230026,厦门大学化学化工学院!固体表面物理化学国家重点实验室,福建厦门361005Author's Address: 1.Dept.of Applied Chem.,University of Science and Technology of China, Hefei 230026,China; 2.Dept.of Material Science,State Key Lab for Physical Chemistry of Solid Surface,X

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies