Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Randomized Experiments01:13

Randomized Experiments

6.6K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
6.6K
Weighted Mean00:57

Weighted Mean

4.8K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
4.8K
Regression Toward the Mean01:52

Regression Toward the Mean

6.2K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.2K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

93
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
93
Censoring Survival Data01:09

Censoring Survival Data

47
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
47
Prediction Intervals01:03

Prediction Intervals

2.2K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Search for Light Pseudoscalar Bosons, Pair-Produced in Higgs Boson Decays in the Four-Electron Final State in Proton-Proton Collisions at sqrt[s]=13  TeV.

Physical review letters·2026
Same author

First Evidence for Mixing-Induced CP Violation in B_{s}^{0}→J/ψϕ(1020) Decays in pp Collisions at sqrt[s]=13  TeV.

Physical review letters·2026
Same author

Observation of Suppressed Charged-Particle Production in Ultrarelativistic Oxygen-Oxygen Collisions.

Physical review letters·2026
Same author

Measurement of D^{0} Meson Photoproduction in Ultraperipheral Heavy Ion Collisions.

Physical review letters·2026
Same author

Observation of tWZ Production at the CMS Experiment.

Physical review letters·2026
Same author

First Exclusive Reconstruction of the B^{*+}, B^{*0}, and B_{s}^{*0} Mesons and Precise Measurement of Their Masses.

Physical review letters·2026
Same journal

Probing the Higgs portal to a strongly-interacting dark sector at the FCC-ee.

The European physical journal. C, Particles and fields·2026
Same journal

Quantifying vacuum-like jets in heavy-ion collisions: a machine learning study.

The European physical journal. C, Particles and fields·2026
Same journal

High-energy decays and weak quantum measurements.

The European physical journal. C, Particles and fields·2026
Same journal

Combined effective field theory interpretation of Higgs boson, electroweak vector boson, top quark, and multijet measurements.

The European physical journal. C, Particles and fields·2026
Same journal

A journey to ITACA: Ion Tracking with Ammonium Cations Apparatus.

The European physical journal. C, Particles and fields·2026
Same journal

Model-independent searches of new physics in DARWIN with deep learning.

The European physical journal. C, Particles and fields·2026
查看所有相关文章
  1. 首页
  3. 在cms实验中,使用机器学习技术重量化模拟事件.
  1. 首页
  3. 在cms实验中,使用机器学习技术重量化模拟事件.

相关实验视频

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

8.5K

在CMS实验中,使用机器学习技术重量化模拟事件.

A Hayrapetyan1, A Tumasyan1,2, W Adam3

  • 1Yerevan Physics Institute, Yerevan, Armenia.

The European physical journal. C, Particles and fields
|May 9, 2025

在PubMed 上查看摘要

概括
此摘要是机器生成的。

机器学习重权缩减可以降低粒子物理模拟中的计算成本. 这种技术避免了重新模拟探测器响应,使得像大型强子对撞机 (LHC) 这样的实验能够更有效地分析数据.

更多相关视频

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.4K
Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

14.2K

相关实验视频

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

8.5K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.4K
Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

14.2K

科学领域:

  • 高能粒子物理学 高能粒子物理学
  • 计算物理学的计算物理.
  • 机器学习应用程序 机器学习应用程序

背景情况:

  • 粒子物理学数据分析需要精确模拟粒子碰撞和探测器反应.
  • 目前的模拟方法,特别是探测器模拟,是计算密集型的,需要大量的CPU资源.
  • 大型强子对撞机 (LHC) 实验依赖于广泛的模拟事件样本进行数据分析.

研究的目的:

  • 引入和评估机器学习 (ML) 技术,用于重量化模拟粒子物理事件样本.
  • 展示ML如何将现有的模拟样本适应不同的物理参数或模拟程序,从而减少计算开销.
  • 提高用于LHC实验的模拟数据生成的效率,特别是用于精度测量.

主要方法:

  • 使用机器学习算法来为模拟事件赋值权重.
  • 重新权衡单个模拟样本以表示模拟参数或替代模拟模型的变化.
  • 将ML重权方法应用于LHC模拟的顶夸克对生成事件.

主要成果:

  • 成功地将模拟样本重量调整为不同的模型变异和更高阶计算.
  • 通过事件权重证明ML重权重有效地将必要的信息纳入单个样本.
  • 验证了ML方法作为重复,昂贵的探测器模拟的可行替代方案.

结论:

  • 基于ML的重权显著降低了与粒子物理模拟相关的计算负担.
  • 这种方法是未来对实验计算策略的关键组成部分,例如紧型子电磁体 (CMS).
  • 该技术将通过提高模拟效率,促进高亮度LHC的高精度测量.