首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
MaharashtraIndiaAsiaAlgorithmsCy borgsEmerging TechnologiesMachine LearningBhabha Atomic Research Centre
NETL
NSTL
