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20202025
most citedTesting the seesaw mechanisms via displaced right-handed neutrinos from a light scalar at the HL-LHC

15 citations · 22 across the 5 of their papers we have counts for

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hep-ph2024

HEP ML Lab: An end-to-end framework for applying machine learning into phenomenology studies

Jing Li, Hao Sun

Recent years have seen the development and growth of machine learning in high energy physics. There will be more effort to continue exploring its full potential. To make it easier…