Robotics & Machine Learning Daily News2024,Issue(Jun.28) :92-92.

Studies from Bhabha Atomic Research Centre Describe New Findings in Machine Lear ning (Estimation of the Excess Noise Factor for Tactic Photomultiplier Tubes Usi ng Gaussian Mixture Model Based Machine Learning Algorithm)

Bhabha原子研究中心的研究报告描述了机器学习的新发现(基于高斯混合模型的机器学习算法估计战术光电倍增管的过剩噪声因子)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :92-92.

Studies from Bhabha Atomic Research Centre Describe New Findings in Machine Lear ning (Estimation of the Excess Noise Factor for Tactic Photomultiplier Tubes Usi ng Gaussian Mixture Model Based Machine Learning Algorithm)

Bhabha原子研究中心的研究报告描述了机器学习的新发现(基于高斯混合模型的机器学习算法估计战术光电倍增管的过剩噪声因子)

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据来自印度马哈拉施特拉邦的新闻,NewsRx COR的受访者称,研究表明:“光电倍增管(PMT)的过剩噪声系数(ENF)基本上是由于PMT内部电子倍增的统计性质而引入的额外噪声。在极高烯RGY(VHE)γ射线天文学领域,PMT被用作切伦科夫光子探测器。”我们的新闻记者引用了Bhabha原子研究中心的一句话:“因此,PMT的噪声在估算VHEγ射线能量中起着重要作用。传统上,估算PMT的ENF需要在没有外部LIG HT背景干扰的实验室中进行非常低强度的可调光源实验。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Maharashtra, India, by NewsRx cor respondents, research stated, “The Excess Noise Factor (ENF) of a Photomultiplie r Tube (PMT) is basically the additional noise introduced because of the statist ical nature of electron multiplication inside PMT. In the field of Very High Ene rgy (VHE) gamma -ray astronomy, PMT is used as a Cherenkov photon detector.” Our news journalists obtained a quote from the research from Bhabha Atomic Resea rch Centre, “Hence, the noise of PMT plays an important role in estimating the e nergy of VHE gamma rays. Conventionally, estimation of ENF of PMT requires a ver y low -intensity, tunable light source experiment in a lab where no external lig ht background interferes.”

Key words

Maharashtra/India/Asia/Algorithms/Cy borgs/Emerging Technologies/Machine Learning/Bhabha Atomic Research Centre

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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