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Updated: May 7, 2025

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

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通过机器学习进行多重测试,对信号不可知性搜索新物理进行新的测试.

Gaia Grosso1,2,3, Marco Letizia4,5

  • 1NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA USA.

The European physical journal. C, Particles and fields
|January 7, 2025
PubMed
概括

结合多个统计测试可以改善物理中的信号不可知搜索. 这种方法提高了新物理信号的发现潜力,为异常提供了更统一的响应.

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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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