Amir Ali Khan, Muhammad Ahsan, Imtiaz Ahmad, Maher Alwuthaynani
{"title":"Enhanced resolution in solving first-order nonlinear differential equations with integral condition: a high-order wavelet approach","authors":"Amir Ali Khan, Muhammad Ahsan, Imtiaz Ahmad, Maher Alwuthaynani","doi":"10.1140/epjs/s11734-024-01254-8","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01254-8","url":null,"abstract":"<p>In this article, the Haar wavelet collocation method (HWCM) is proposed for the numerical solution of a first-order nonlinear differential equation with a two-point integral condition. A nonlinear ordinary differential equation with an initial condition, an integral condition, or a two-point integral condition can be solved using the proposed technique in a straightforward manner. Two nonlinear test problems have been solved: one with an integral condition and the other with a two-point integral condition. The accuracy of the proposed method is significantly higher than that of the traditional Haar wavelet technique.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738598","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}
A. Karnan, G. Soundararajan, G. Nagamani, Ardak Kashkynbayev
{"title":"Design of an event-triggered extended dissipative state estimator for neural networks with multiple time-varying delays","authors":"A. Karnan, G. Soundararajan, G. Nagamani, Ardak Kashkynbayev","doi":"10.1140/epjs/s11734-024-01240-0","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01240-0","url":null,"abstract":"<p>This paper examines the issue of designing an extended dissipative state estimator for a class of neural networks with multiple time-varying delays. The novelty of this problem lies in assuming distinct time-varying delays for each node, demonstrating its generalizability and complexity. An event-triggered state estimator with a known output measurement is proposed to facilitate these targeted network responses by saving limited communication resources. Consequently, sufficient conditions for an extended dissipative estimator have been achieved by constructing an augmented Lyapunov–Krasovskii functional (LKF) and finding its derivative. A generalized free-weighting matrix inequality (GFWMI) is utilized to achieve a tighter upper bound of the derivative, leading to a less conservative result in linear matrix inequalities (LMIs). Ultimately, a numerical example is shown to verify the advantages and efficacy of the main findings.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738601","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":"Machine learning in high energy physics: a review of heavy-flavor jet tagging at the LHC","authors":"Spandan Mondal, Luca Mastrolorenzo","doi":"10.1140/epjs/s11734-024-01234-y","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01234-y","url":null,"abstract":"<p>The application of machine learning (ML) in high energy physics (HEP), specifically in heavy-flavor jet tagging at Large Hadron Collider (LHC) experiments, has experienced remarkable growth and innovation in the past decade. This review provides a detailed examination of current and past ML techniques in this domain. It starts by exploring various data representation methods and ML architectures, encompassing traditional ML algorithms and advanced deep learning techniques. Subsequent sections discuss specific instances of successful ML applications in jet flavor tagging in the ATLAS and CMS experiments at the LHC, ranging from basic fully-connected layers to graph neural networks employing attention mechanisms. To systematically categorize the advancements over the LHC’s three runs, the paper classifies jet tagging algorithms into three generations, each characterized by specific data representation techniques and ML architectures. This classification aims to provide an overview of the chronological evolution in this field. Finally, a brief discussion about anticipated future developments and potential research directions in the field is presented.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738600","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":"Correction to: Metallicity relations in LMC and SMC from the slope of red giant branch stars in globular cluster","authors":"Saurabh Sharma, Jura Borissova","doi":"10.1140/epjs/s11734-024-01248-6","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01248-6","url":null,"abstract":"","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824452","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":"On the occurrence of multiscroll and multistable dynamics in a star network of four nonlinearly coupled self-driven Duffing–Rayleigh oscillators","authors":"Jayaraman Venkatesh, Janarthanan Ramadoss, Jean Chamberlain Chedjou, Kengne Jacques, Karthikeyan Rajagopal","doi":"10.1140/epjs/s11734-024-01241-z","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01241-z","url":null,"abstract":"<p>The study of oscillator networks is currently the subject of intensive efforts for researchers working in the field of non-linear science. In this article, we are interested in the collective behavior of a star network formed by four mutually coupled Rayleigh–Duffing type oscillators (RDO here after) although each isolated oscillator undergoes a fixed point motion. The coupling considered is non-linear but exploits the intrinsic non-linearity of each of the oscillators so that no non-linear coupling function is necessary as usual. Using analytical techniques, the basic properties of the star system are studied in terms of equilibrium points and their stability, conditions for the appearance of Hopf bifurcations, dissipation and existence of attractors. The direct numerical integration of the mathematical model highlights fascinating phenomena, such as the coexistence of several parallel bifurcation branches, the coexistence of dynamics of the same type or of different types (i.e., regular and chaotic, hidden or self-excited) as well as multi-spiral chaos. These features are uncovered when changing both initial conditions and parameters. The tests carried out in the laboratory using the Arduino module show very good agreement with the results of the theoretical analysis. The study conducted out in this article provides valuable information as a prelude to understanding the behavior of a much more complex network of Rayleigh–Duffing type oscillators and Gunn type microwave oscillators as well.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738602","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":"Modeling of COVID-19 with vaccination and optimal control","authors":"A. Karthik, M. Ghosh","doi":"10.1140/epjs/s11734-024-01246-8","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01246-8","url":null,"abstract":"","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141641965","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":"Rebound micro-cavitation dynamics with ultrasound fields during histotripsy: a numerical investigation","authors":"A. K. Abu-Nab, Zain F. AbuShaeer, A. Abu-Bakr","doi":"10.1140/epjs/s11734-024-01232-0","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01232-0","url":null,"abstract":"","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141641884","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":"Robust sampled-data synchronization of chaotic fractional variable order neural networks with time delays","authors":"R. Kiruthika, A. Manivannan","doi":"10.1140/epjs/s11734-024-01242-y","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01242-y","url":null,"abstract":"","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"26 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141646813","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}
Rajneil Baruah, Subhadeep Mondal, Sunando Kumar Patra, Satyajit Roy
{"title":"Probing intractable beyond-standard-model parameter spaces armed with machine learning","authors":"Rajneil Baruah, Subhadeep Mondal, Sunando Kumar Patra, Satyajit Roy","doi":"10.1140/epjs/s11734-024-01236-w","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01236-w","url":null,"abstract":"<p>This article attempts to summarize the effort by the particle physics community in addressing the tedious work of determining the parameter spaces of beyond-the-standard-model (BSM) scenarios, allowed by data. These spaces, typically associated with a large number of dimensions, especially in the presence of nuisance parameters, suffer from the curse of dimensionality and thus render naive sampling of any kind—even the computationally inexpensive ones—ineffective. Over the years, various new sampling (from variations of Markov Chain Monte Carlo (MCMC) to dynamic nested sampling) and machine learning (ML) algorithms have been adopted by the community to alleviate this issue. If not all, we discuss potentially the most important ones among them and the significance of their results, in detail.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"2012 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141717839","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}
Michael O. Kuchinskiy, T. Lyubimova, Konstantin A. Rybkin, Vasiliy A. Galishevskiy, Anastasiia D. Sadovnikova
{"title":"Influence of ultrasound on the dynamics of an air bubble near a solid surface","authors":"Michael O. Kuchinskiy, T. Lyubimova, Konstantin A. Rybkin, Vasiliy A. Galishevskiy, Anastasiia D. Sadovnikova","doi":"10.1140/epjs/s11734-024-01243-x","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01243-x","url":null,"abstract":"","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"24 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141645835","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}