{"title":"Assessing lepton flavor universality violations in semileptonic decays","authors":"Sonali Patnaik, Lopamudra Nayak, Rajeev Singh","doi":"10.1140/epjs/s11734-024-01239-7","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01239-7","url":null,"abstract":"<p>In light of recent measurements suggesting potential lepton flavor universality violations in semileptonic decays at collider experiments, this article provides a concise study of tree- and loop-level <i>B</i>-hadron semileptonic decays, <span>(b rightarrow c l nu _l)</span> and <span>(b rightarrow s l^+ l^-)</span>. We provide predictions for lepton flavor violating observables, <span>({mathcal {R}}_{J/psi })</span> and <span>({mathcal {R}}_{eta _c})</span>, across the entire <span>(q^2)</span> range. Our study employs the Relativistic Independent Quark Model (RIQM), highlighting a model-dependent approach to these observables. We compare our model’s predictions with existing lattice predictions, demonstrating the strong applicability of the RIQM framework in describing <span>(B_c)</span> decays. Additionally, we reassess global averages for <span>({mathcal {R}}_{D(D^*)})</span> and <span>({mathcal {R}}_{K(K^*)})</span> in semileptonic transitions. With the upcoming experimental upgrades and the anticipated Run 3 data on <span>(B_c)</span> meson decays, rapid confirmation of these quantities could indicate significant evidence of physics beyond the Standard Model, thereby opening new pathways for understanding the complex flavor dynamics in <i>B</i> meson decays.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141615073","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":"To the effect of interparticle interaction on dynamic remagnetization of ferromagnetic nanoparticles","authors":"A. Yu. Zubarev, L. Yu. Iskakova","doi":"10.1140/epjs/s11734-024-01225-z","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01225-z","url":null,"abstract":"<p>The paper deals with theoretical study of effect of interparticle interaction on the complex magnetic susceptibility and the rate of magnetic energy dissipation in a system of single-domain ferromagnetic particles, immobilized in a non-magnetic media. A real prototype of this model can be a biological tissue with embedded magnetic nanoparticles for hyperthermia therapy of tumor (cancer) diseases. Based on mathematically regular methods of statistical physics, we have shown that, depending on frequency of the applied field, the interparticle interaction can either increase or decrease the energy dissipation, and, therefore, the heat production in the system. We hope that the obtained results can help to explain qualitative contradictions between conclusions of various experimental and theoretical studies of influence of the interparticle interactions on the thermal effect in tissues with embedded magnetic particles.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141611235","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}
S. Arivumani, P. Vadivel, G. Rajchakit, T. Saravanakumar
{"title":"Non-fragile tracking controller design for fractional order systems against active disturbance rejection","authors":"S. Arivumani, P. Vadivel, G. Rajchakit, T. Saravanakumar","doi":"10.1140/epjs/s11734-024-01217-z","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01217-z","url":null,"abstract":"<p>In this work, a new non-fragile based tracking controller design for fractional order systems with non-linear uncertainty, unidentified external disturbances, and time-delay is investigated. A novel structure of a fractional order non-fragile repetitive controller is suggested to obtain the tracking performance for the addressed system. In particular, gain fluctuations are used with an improved two-degrees-of-freedom Smith predictor in the construction of this structure. Using the Lyapunov–Krasovskii stability theory and a continuous amplitude distributed equivalent system, a new set of criteria to determine the asymptotic stability of the associated closed-loop system is proposed in the context of linear matrix inequalities. Within a single framework, disturbance estimation, asymptotic tracking, and time delay compensation are all done using the obtained stability results. The resulting theoretical results are finally confirmed by numerical examples that demonstrate how the specified constraints could lead the system output to precisely match any defined reference signal by balancing for the unidentified exterior disturbance.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141585784","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. Venkatesh, M. Manivel, K. Arunkumar, M. Prakash Raj, Shyamsunder, S. D. Purohit
{"title":"A fractional mathematical model for vaccinated humans with the impairment of Monkeypox transmission","authors":"A. Venkatesh, M. Manivel, K. Arunkumar, M. Prakash Raj, Shyamsunder, S. D. Purohit","doi":"10.1140/epjs/s11734-024-01211-5","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01211-5","url":null,"abstract":"<p>This research develops a comprehensive numerical model leveraging fuzzy fractional differential equations to analyze the transmission dynamics of the Monkeypox virus. Using Caputo’s fuzzy fractional differential equations, we construct a dynamical model for Monkeypox vaccination in humans. The importance of fuzzy fractional differential equations lies in their ability to provide a more accurate representation of the transmission dynamics due to their non-local properties, which capture memory and hereditary effects inherent in the spread of infectious diseases. Our numerical simulations highlight how vaccination significantly curbs disease spread, demonstrating the practical application of fuzzy fractional techniques in epidemiology. The study underscores the necessity of these advanced mathematical tools in capturing the complex dynamics of Monkeypox transmission, paving the way for more effective control strategies.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141585782","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":"Primordial nucleosynthesis with non-extensive statistics","authors":"C. A. Bertulani, Shubhchintak","doi":"10.1140/epjs/s11734-024-01216-0","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01216-0","url":null,"abstract":"<p>The conventional Big Bang model successfully anticipates the initial abundances of <span>(^2)</span>H(D), <span>(^3)</span>He, and <span>(^4)</span>He, aligning remarkably well with observational data. However, a persistent challenge arises in the case of <span>(^7)</span>Li, where the predicted abundance exceeds observations by a factor of approximately three. Despite numerous efforts employing traditional nuclear physics to address this incongruity over the years, the enigma surrounding the lithium anomaly endures. In this context, we embark on an exploration of Big Bang nucleosynthesis (BBN) of light element abundances with the application of Tsallis non-extensive statistics. A comparison is made between the outcomes obtained by varying the non-extensive parameter <i>q</i> away from its unity value and both observational data and abundance predictions derived from the conventional big bang model. A good agreement is found for the abundances of <span>(^4)</span>He, <span>(^3)</span>He and <span>(^7)</span>Li, implying that the lithium abundance puzzle might be due to a subtle fine-tuning of the physics ingredients used to determine the BBN. However, the deuterium abundance deviates from observations.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566592","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}
Jai Bardhan, Tanumoy Mandal, Subhadip Mitra, Cyrin Neeraj, Monalisa Patra
{"title":"Unsupervised and lightly supervised learning in particle physics","authors":"Jai Bardhan, Tanumoy Mandal, Subhadip Mitra, Cyrin Neeraj, Monalisa Patra","doi":"10.1140/epjs/s11734-024-01235-x","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01235-x","url":null,"abstract":"<p>We review the main applications of machine learning models that are not fully supervised in particle physics, i.e., clustering, anomaly detection, detector simulation, and unfolding. Unsupervised methods are ideal for anomaly detection tasks—machine learning models can be trained on background data to identify deviations if we model the background data precisely. The learning can also be partially unsupervised when we can provide some information about the anomalies at the data level. Generative models are useful in speeding up detector simulations—they can mimic the computationally intensive task without large resources. They can also efficiently map detector-level data to parton-level data (i.e., data unfolding). In this review, we focus on interesting ideas and connections and briefly overview the underlying techniques wherever necessary.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141577055","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}
Suvankar Majee, Soovoojeet Jana, T. K. Kar, Bidhan Bhunia
{"title":"Complex dynamics of a fractional-order delayed epidemic model incorporating waning immunity and optimal control","authors":"Suvankar Majee, Soovoojeet Jana, T. K. Kar, Bidhan Bhunia","doi":"10.1140/epjs/s11734-024-01221-3","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01221-3","url":null,"abstract":"<p>To explore the effect of memory, we first incorporate the fractional-order derivative in our defined model, which is a SIR-type epidemic model with logistic growth in susceptible and incubation delay in saturated incidence rate. Based on the value of a threshold parameter <span>(R_0)</span>, called basic reproduction number, there exist two equilibria. Also, depending on that threshold value, stability and Hopf bifurcation analysis were performed in our formulated model. To study the effects of vaccination and treatment on Hopf bifurcation, we include these measures in our model and derive that these measures may increase the length of the critical delay. We also looked into a fractional-order optimal control problem to better understand the optimal role of treatment and vaccination in reducing disease prevalence and lowering associated costs. We have run simulations to verify the analytical results, considering the model’s feasible parameter values. Finally, to study the uncertainty analysis, we have used the partial rank correlation coefficient technique.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566588","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":"How deep learning is complementing deep thinking in ATLAS","authors":"Deepak Kar","doi":"10.1140/epjs/s11734-024-01238-8","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01238-8","url":null,"abstract":"<p>ATLAS collaboration uses machine learning (ML) algorithms in many different ways in its physics programme, starting from object reconstruction, simulation of calorimeter showers, signal to background discrimination in searches and measurements, tagging jets based on their origin and so on. Anomaly detection (AD) techniques are also gaining popularity where they are used to find hidden patterns in the data, with lesser dependence on simulated samples as in the case of supervised learning-based methods. ML methods used in detector simulation and in jet tagging in ATLAS will be discussed, along with four searches using ML/AD techniques.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548964","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":"A robust study of the dynamics of tumor–immune interaction for public health via fractional framework","authors":"Meshal Shutaywi, Zahir Shah, Rashid Jan","doi":"10.1140/epjs/s11734-024-01210-6","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01210-6","url":null,"abstract":"<p>It is evident that a tumor is a dangerous lump of tissue developed through the uncontrollable division of cells, replacing healthy tissue with abnormal tissue. It is cancerous and spreads through the lymphatic system or blood within the body of a host individual while the human immune system, consisting of interrelated special cells, tissues, and organs, is employed for the protection of the body from microorganisms, foreign diseases, infections, and toxins. Thus, the conceptualization and understanding of the intersections of tumor–immune cells are valuable. In this article, the natural process of tumor–immune cell interactions is formulated through a mathematical framework. The intricate dynamics of tumor–immune interactions are then represented by means of operators of fractional calculus involving nonlocal and nonsingular kernels. The definitions and basic properties of non-integer derivatives are introduced for the investigation of the proposed system. In addition, a new numerical scheme is introduced for the dynamics, showing the chaos and oscillation of the tumor–immune system. The proposed dynamics of tumor–immune interaction are highlighted with the effect of different input factors. Our findings not only contribute to a thorough comprehension of the complex interactions between input parameters and tumor dynamics, but critical factors that have a major impact on the dynamics are also identified. These outcomes are pivotal for refining and optimizing the proposed system to enhance its predictive accuracy and efficacy in modeling tumor behavior.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"134 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548963","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}
Dmitri V. Alexandrov, Alexander A. Ivanov, Irina V. Alexandrova, Eugenya V. Makoveeva
{"title":"Dynamics of crystals in metastable liquids with applications to the growth of polypeptide hormones","authors":"Dmitri V. Alexandrov, Alexander A. Ivanov, Irina V. Alexandrova, Eugenya V. Makoveeva","doi":"10.1140/epjs/s11734-024-01226-y","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01226-y","url":null,"abstract":"<p>This study is concerned with the dynamics of a polydisperse ensemble of crystals in a single-component metastable solution/melt. A new theory based on the kinetic and balance equations is developed for the description of initial and intermediate stages of bulk crystallization. Such phenomena as unsteady growth rates of individual crystals with fluctuations, diffusion of the crystal-size distribution function in the space of particle radii, the Gibbs–Thomson and atomic kinetics effects, various crystal nucleation mechanisms are taken into account. The analytical solution is constructed in a parametric form with the modified time being the decision variable. Namely, the metastability degree, particle-radius distribution function, crystallization time, total number of crystals and their mean size are found as the functions of decision variable. The analytical solutions show that the metastability degree decreases with time as a result of liquid desupersaturation/desupercooling. As this takes place, the particle-radius distribution function moves to greater particle radii, becomes wider and lower with increasing the crystallization time. The theory is tested against experiments on the growth of such polypeptide hormones as porcine and bovine insulins. We show that the theory is in good agreement with the experimental data.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548968","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}