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Related papers: Practical Statistics

200 papers

In an increasingly data-driven world, facility with statistics is more important than ever for our students. At institutions without a statistician, it often falls to the mathematics faculty to teach statistics courses. This paper presents…

Other Statistics · Statistics 2021-09-01 David White

I compare and discuss critically several measures of statistical significance in common use in astrophysics and in high energy physics. I also exhibit some relationships among them.

Data Analysis, Statistics and Probability · Physics 2014-11-18 J. T. Linnemann

This paper discusses experimental techniques and considerations associated with the transition to high repetition-rate experiments in High Energy Density Physics (HEDP). We particularly highlight approaches to experimentation that become…

Plasma Physics · Physics 2019-06-28 Scott Feister , Patrick L. Poole , Peter V. Heuer

My assignment at this conference is to assess where we are in high-energy physics and speculate on where we might be going. This frees me from any obligation to summarize all that went on here and allows me to talk just about those topics…

High Energy Physics - Experiment · Physics 2011-05-18 Burton Richter

I discuss the scientific rationale and opportunities in the study of high energy particle accelerators away from the Earth; mostly, those outside the Solar System. I also briefly outline the features to be desired in telescopes used to…

High Energy Astrophysical Phenomena · Physics 2016-09-08 Jonathan Arons

Recently, it has been recognized that phase transitions play an important role in the probabilistic analysis of combinatorial optimization problems. However, there are in fact many other relations that lead to close ties between computer…

Statistical Mechanics · Physics 2007-05-23 O. C. Martin , R. Monasson , R. Zecchina

Particle physics, when taught in the classroom or lecture theatre, suffers from a lack of practical experience by students. Thus, we describe the construction of a fully working small particle physics detector using state of the art…

This report reviews methods of pattern recognition and event reconstruction used in modern high energy physics experiments. After a brief introduction into general concepts of particle detectors and statistical evaluation, different…

Data Analysis, Statistics and Probability · Physics 2009-11-10 Rainer Mankel

The conditions of thermodynamic equilibrium, local thermodynamic equilibrium, and statistical equilibrium are discussed in detail. The equations of statistical equilibrium and the supplementary equations are shown together with the…

Solar and Stellar Astrophysics · Physics 2015-05-19 Jiri Kubat

This book covers a wide range of problems involving the applications of stochastic processes, stochastic calculus, large deviation theory, group representation theory and quantum statistics to diverse fields in dynamical systems,…

Mathematical Physics · Physics 2021-08-13 Harish Parthasarathy

Global climate change, extreme climate events, earthquakes and their accompanying natural disasters pose significant risks to humanity. Yet due to the nonlinear feedbacks, strategic interactions and complex structure of the Earth system,…

The study of plasma physics under conditions of extreme temperatures, densities and electromagnetic field strengths is significant for our understanding of astrophysics, nuclear fusion and fundamental physics. These extreme physical systems…

In recent years, computing has become an important part of the way we teach and learn physics. Teachers, both at high school and college levels, now use computational activities in many of their courses. Physics departments are offering…

Physics Education · Physics 2023-08-31 Hannah C. Sabo , Tor Ole B. Odden , Marcos D. Caballero

Risk Analytics is important to quantify, manage and analyse risks from the manufacturing to the financial setting. In this paper, the data challenges in the three stages of the high-performance risk analytics pipeline, namely risk…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-25 Blesson Varghese , Andrew Rau-Chaplin

Machine learning techniques are increasingly being applied in high-energy nuclear physics data analysis thanks to their outstanding performance. One key challenge in such applications is the construction of training samples that can…

Nuclear Experiment · Physics 2025-11-14 Yan Wang , Rangrong Ma , Kaifeng Shen , Zebo Tang , Wangmei Zha

For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the training examples and/or the computational costs associated with…

Artificial Intelligence · Computer Science 2011-06-24 F. Provost , G. M. Weiss

We review ongoing efforts and discuss possible future directions in informing the public and educating students about Particle Physics.

High Energy Physics - Phenomenology · Physics 2007-05-23 R. Michael Barnett

There are various approaches to the problem of how one is supposed to conduct a statistical analysis. Different analyses can lead to contradictory conclusions in some problems so this is not a satisfactory state of affairs. It seems that…

Statistics Theory · Mathematics 2019-06-25 Michael Evans

Ensuring a satisfactory statistical convergence of anharmonic thermodynamic properties requires sampling of many atomic configurations, however the methods to obtain those necessarily produce correlated samples, thereby reducing the…

Statistical Mechanics · Physics 2022-06-07 Erki Metsanurk

Current statistics can be calculated in various ways. Event-based approaches use the statistics of the number of events occuring during a given time. Time-based approaches use the statistics of the time needed to reach a given number of…

Statistical Mechanics · Physics 2015-05-14 Massimiliano Esposito , Katja Lindenberg , Igor M. Sokolov