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相关论文: Introduction to Statistical Issues in Particle Phy…

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Energy distributions of decay products carry information on the kinematics of the decay in ways that are at the same time straightforward and quite hidden. I will review these properties and discuss their early historical applications as…

高能物理 - 唯象学 · 物理学 2018-01-17 Roberto Franceschini

The many ways in which machine and deep learning are transforming the analysis and simulation of data in particle physics are reviewed. The main methods based on boosted decision trees and various types of neural networks are introduced,…

数据分析、统计与概率 · 物理学 2020-05-07 Dimitri Bourilkov

These lecture notes for the course APM 351 at the University of Toronto are aimed at mathematicians and physicists alike. It is not meant as an introductory course to PDEs, but rather gives an overview of how to view and solve differential…

数学物理 · 物理学 2015-08-18 Max Lein

I give a concise introduction to some essential concepts of statistical mechanics: 1. Probability theory (constrained distributions, concentration theorem, frequency estimation, hypothesis testing); 2. Macroscopic systems in equilibrium…

物理教育 · 物理学 2016-09-08 Jochen Rau

When dealing with certain kind of complex phenomena the theoretician may face some difficulties -- typically a failure to have access to information for properly characterize the system -- for applying the full power of the standard…

统计力学 · 物理学 2007-05-23 Roberto Luzzi , Áurea R. Vasconcellos , J. Galvão Ramos

We develop a general formulation of quantum statistical mechanics in terms of probability currents that satisfy continuity equations in the multi-particle position space, for closed and open systems with a fixed number of particles. The…

量子物理 · 物理学 2024-04-19 Hrvoje Nikolic

Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes far beyond the immediate priorities of the experimental…

高能物理 - 唯象学 · 物理学 2025-04-02 Jon Butterworth , Sabine Kraml , Harrison Prosper , Andy Buckley , Louie Corpe , Cristinel Diaconu , Mark Goodsell , Philippe Gras , Martin Habedank , Clemens Lange , Kati Lassila-Perini , André Lessa , Rakhi Mahbubani , Judita Mamužić , Zach Marshall , Thomas McCauley , Humberto Reyes-Gonzalez , Krzysztof Rolbiecki , Sezen Sekmen , Giordon Stark , Graeme Watt , Jonas Würzinger , Shehu AbdusSalam , Aytul Adiguzel , Amine Ahriche , Ben Allanach , Mohammad M. Altakach , Jack Y. Araz , Alexandre Arbey , Saiyad Ashanujjaman , Volker Austrup , Emanuele Bagnaschi , Sumit Banik , Csaba Balazs , Daniele Barducci , Philip Bechtle , Samuel Bein , Nicolas Berger , Tisa Biswas , Fawzi Boudjema , Jamie Boyd , Carsten Burgard , Jackson Burzynski , Jordan Byers , Giacomo Cacciapaglia , Cécile Caillol , Orhan Cakir , Christopher Chang , Gang Chen , Andrea Coccaro , Yara do Amaral Coutinho , Andreas Crivellin , Leo Constantin , Giovanna Cottin , Hridoy Debnath , Mehmet Demirci , Juhi Dutta , Joe Egan , Carlos Erice Cid , Farida Fassi , Matthew Feickert , Arnaud Ferrari , Pavel Fileviez Perez , Dillon S. Fitzgerald , Roberto Franceschini , Benjamin Fuks , Lorenz Gärtner , Kirtiman Ghosh , Andrea Giammanco , Alejandro Gomez Espinosa , Letícia M. Guedes , Giovanni Guerrieri , Christian Gütschow , Abdelhamid Haddad , Mahsana Haleem , Hassane Hamdaoui , Sven Heinemeyer , Lukas Heinrich , Ben Hodkinson , Gabriela Hoff , Cyril Hugonie , Sihyun Jeon , Adil Jueid , Deepak Kar , Anna Kaczmarska , Venus Keus , Michael Klasen , Kyoungchul Kong , Joachim Kopp , Michael Krämer , Manuel Kunkel , Bertrand Laforge , Theodota Lagouri , Eric Lancon , Peilian Li , Gabriela Lima Lichtenstein , Yang Liu , Steven Lowette , Jayita Lahiri , Siddharth Prasad Maharathy , Farvah Mahmoudi , Vasiliki A. Mitsou , Sanjoy Mandal , Michelangelo Mangano , Kentarou Mawatari , Peter Meinzinger , Manimala Mitra , Mojtaba Mohammadi Najafabadi , Sahana Narasimha , Siavash Neshatpour , Jacinto P. Neto , Mark Neubauer , Mohammad Nourbakhsh , Giacomo Ortona , Rojalin Padhan , Orlando Panella , Timothée Pascal , Brian Petersen , Werner Porod , Farinaldo S. Queiroz , Shakeel Ur Rahaman , Are Raklev , Hossein Rashidi , Patricia Rebello Teles , Federico Leo Redi , Jürgen Reuter , Tania Robens , Abhishek Roy , Subham Saha , Ahmetcan Sansar , Kadir Saygin , Nikita Schmal , Jeffrey Shahinian , Sukanya Sinha , Ricardo C. Silva , Tim Smith , Tibor Šimko , Andrzej Siodmok , Ana M. Teixeira , Tamara Vázquez Schröder , Carlos Vázquez Sierra , Yoxara Villamizar , Wolfgang Waltenberger , Peng Wang , Martin White , Kimiko Yamashita , Ekin Yoruk , Xuai Zhuang

Aspects of the modern dynamical systems approach to thermodynamics of stationary states out of equilibrium with attention to the original conceptions which arose at the beginnings of Statistical Mechanics

统计力学 · 物理学 2019-01-28 Giovanni Gallavotti

This PhD thesis deals with a number of different problems in mathematical physics with the common thread that they have probabilistic aspects. The problems all stem from mathematical studies of lattice systems in statistical and quantum…

数学物理 · 物理学 2023-12-15 Frederik Ravn Klausen

In the first lecture of this volume, we will present the basic fundamental ideas regarding nuclear processes occurring in stars. We start from stellar observations, will then elaborate on some important quantum-mechanical phenomena…

太阳与恒星天体物理 · 物理学 2014-11-20 Christian Iliadis

Climate statistics is of course a very broad field, along with the many connections and impacts for yet other areas, with a history as long as mankind has been recording temperatures, describing drastic weather events, etc. The important…

统计方法学 · 统计学 2026-02-06 Nils Lid Hjort

I discuss recent progress in understanding the high-energy evolution in QCD, which points towards a remarkable correspondence with the reaction-diffusion problem of statistical physics. This enables us to determine the asymptotic behaviour…

高能物理 - 唯象学 · 物理学 2007-05-23 E. Iancu

In this work we discuss the impact of nuisance parameters on the effectiveness of machine learning in high-energy physics problems, and provide a review of techniques that allow to include their effect and reduce their impact in the search…

机器学习 · 统计学 2021-01-19 Tommaso Dorigo , Pablo de Castro

In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable…

数据分析、统计与概率 · 物理学 2019-02-25 Glen Cowan

A concise survey of problems in modern strong interaction physics at high energies is given.

高能物理 - 唯象学 · 物理学 2018-01-17 V. Petrov

A brief introduction to light front techniques is presented. This is followed by a review of recent attempts to perform realistic, relativistic nuclear physics with those techniques.

核理论 · 物理学 2010-12-13 Gerald A. Miller

This is the write-up of a set of lectures given at the Asia Europe Pacific School of High Energy Physics in Quy Nhon, Vietnam in September 2018, to an audience of PhD students in all branches of particle physics They cover the different…

数据分析、统计与概率 · 物理学 2021-02-03 Roger John Barlow

This opening editorial aims to interest researchers and encourage novel research in the closely related fields of sociophysics and computational social science. We briefly discuss challenges and possible research directions in the study of…

物理与社会 · 物理学 2022-08-31 Federico Vazquez

Lecture Notes for Les Houches 2018 Summer School on Active Matter and Nonequilibrium Statistical Physics. These notes give an introduction to statistical field theories of active matter. After showing an example of how such theories can be…

统计力学 · 物理学 2019-04-03 Michael E. Cates

We present an overview of possible imprints of non-extensitivity in particle and nucler physics. Special emphasis is put on the intrinsic fluctuations present in the system under consideration as the possible source of nonextensivity. The…

高能物理 - 唯象学 · 物理学 2009-04-15 G. Wilk , Z. Wlodarczyk