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相关论文: Towards the Observation of Signal over Background …

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We propose a method to estimate the probability of new physics discovery in future high energy physics experiments. Physics simulation gives both the average numbers $<N_b>$ of background and $<N_s>$ of signal events. We find that the…

高能物理 - 唯象学 · 物理学 2007-05-23 S. I. Bityukov , N. V. Krasnikov

We propose a method to estimate the probability of new physics discovery in future high energy physics experiments. Physics simulation gives both the average numbers <Nb> of background and <Ns> of signal events. We find that the proper…

数据分析、统计与概率 · 物理学 2009-10-31 S. I. Bityukov , N. V. Krasnikov

We describe a method for estimation of the discovery potential on new physics in planned experiments. The effective significance of signal for given probability of observation is proposed for planned experiments instead of the usual…

高能物理 - 唯象学 · 物理学 2007-05-23 S. I. Bityukov , N. V. Krasnikov

The LHC experiments have great potential in discovering many possible new particles up to the TeV scale. The significance calculation of an observation of a physics signal with known location and shape is no longer valid when either the…

仪器与探测器 · 物理学 2009-01-07 Yongsheng Gao , Liang Lu , Xinlei Wang

Searching for evidence of neutrino oscillations is an important problem in particle physics. Suppose that evidence for neutrino oscillations from an LSND experiment reports a significant positive oscillation probability, but that the LSND…

统计理论 · 数学 2007-06-13 Tonglin Zhang

This paper deals with a situation of some importance for the analysis of experimental data via Neural Network (NN) or similar devices: Let $N$ data be given, such that $N=N_s+N_b$, where $N_s$ is the number of signals, $N_b$ the number of…

高能物理 - 实验 · 物理学 2016-08-31 B. Berg , J. Riedler

Machine-learning techniques have become fundamental in high-energy physics and, for new physics searches, it is crucial to know their performance in terms of experimental sensitivity, understood as the statistical significance of the…

In High-Energy Physics experiments it is often necessary to evaluate the global statistical significance of apparent resonances observed in invariant mass spectra. One approach to determining significance is to use simulated events to find…

数据分析、统计与概率 · 物理学 2023-12-29 Kelly J Yi , Leonard G Spiegel , Zhen Hu

Several experiments in high-energy physics and astrophysics can be treated as on/off measurements, where an observation potentially containing a new source or effect ("on" measurement) is contrasted with a background-only observation free…

数据分析、统计与概率 · 物理学 2018-05-23 G. Vianello

Particle physics experiments such as those run in the Large Hadron Collider result in huge quantities of data, which are boiled down to a few numbers from which it is hoped that a signal will be detected. We discuss a simple probability…

应用统计 · 统计学 2011-02-18 A. C. Davison , N. Sartori

In this note, an alternative for presenting the distribution of `significant' events in searches for new phenomena is described. The alternative is based on probability density functions used in the evaluation of the `significance' of an…

高能物理 - 实验 · 物理学 2019-02-25 Nicholas Wardle

In particle physics and cosmology, distinguishing subtle new physics signals from established backgrounds is a fundamental and persistent challenge for phenomenologists. This paper discuss a simple and robust statistical framework to…

高能物理 - 唯象学 · 物理学 2026-05-08 S. Ansarifard

For Poisson distribution $Pois(n, \lambda)$ with $\lambda \gg 1$, $n \gg 1$ we propose to determine significance as $S = \frac{n_{obs}-\lambda}{\sqrt{\lambda}}$. The significance $S$ coincides up to sign with often used significance. For…

数据分析、统计与概率 · 物理学 2010-12-03 N. V. Krasnikov , S. I. Bityukov

When a scientist performs an experiment they normally acquire a set of measurements and are expected to demonstrate that their results are "statistically significant" thus confirming whatever hypothesis they are testing. The main method for…

其他统计学 · 统计学 2011-09-30 Jacob Levman

The incorporation of uncertainties to calculations of signal significance in planned experiments is an actual task. Several approaches to this problem are discussed. We present a procedure for taking into account the systematic uncertainty…

高能物理 - 唯象学 · 物理学 2009-11-07 S. I. Bityukov

To properly estimate signal significance while accounting for both statistical and systematic uncertainties, we conducted a study to analyze the impact of typical systematic uncertainties, such as background shape, signal shape, and the…

数据分析、统计与概率 · 物理学 2023-12-19 Yi Ding , Weiming Song , Kai Zhu

Background properties in experimental particle physics are typically estimated using large data sets. However, different events can exhibit different features because of the quantum mechanical nature of the underlying physics processes.…

数据分析、统计与概率 · 物理学 2014-12-22 Federico Colecchia

A central goal in experimental high energy physics is to detect new physics signals that are not explained by known physics. In this paper, we aim to search for new signals that appear as deviations from known Standard Model physics in…

应用统计 · 统计学 2022-12-14 Purvasha Chakravarti , Mikael Kuusela , Jing Lei , Larry Wasserman

Current experimental limits for new physics beyond the Standard Model and hints for deviations from Standard Model expectations will be reviewed, highlighting recent results. Possible signals that will be discussed include Higgs bosons,…

高能物理 - 实验 · 物理学 2010-11-05 G. Brooijmans

Several statistics used by physicists to declare the signal observability over the background are compared. It is shown that the frequentist method of testing a precise hypothesis allows one to estimate the power value of criteria with…

数据分析、统计与概率 · 物理学 2007-05-23 S. I. Bityukov , N. V. Krasnikov
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