Towards Real-Time Machine Learning-Based Signal/Background Selection in the CMS Detector Using Quantized Neural Networks and Input Data Reduction
The Large Hadron Collider (LHC) is being prepared for an extensive upgrade to boost its
particle discovery potential. The new phase, High Luminosity LHC, will operate at a factor-of …
particle discovery potential. The new phase, High Luminosity LHC, will operate at a factor-of …
Performance comparison of generic and quantized fully connected and convolutional neural networks for real-time signal/background classification
Since the beginning of the Large Hadron Collider (LHC) project, one of the biggest problems
faced by scientists is dealing with the enormous amount of data produced by detectors. For …
faced by scientists is dealing with the enormous amount of data produced by detectors. For …
Artificial Intelligence Algorithms for the Real-Time Selection of Physically Important Events Within the CMS L1 Trigger FPGA Devices
A Burazin Mišura - 2024 - repozitorij.fesb.unist.hr
Sažetak The Large Hadron Collider is the largest particle accelerator in the world with the
purpose of colliding protons accelerated to nearly the speed of light, resulting in the creation …
purpose of colliding protons accelerated to nearly the speed of light, resulting in the creation …
[PDF][PDF] Algorithms for the Level 1 Trigger Primitives Generation in the High-Granularity Calorimeter at the High-Luminosity LHC
JB Sauvan - 2022 - hal.science
Algorithms used in L1 trigger systems are based on solid expertise and knowledge
accumulated over the years, as well as on new ideas developed to cope with increases of …
accumulated over the years, as well as on new ideas developed to cope with increases of …