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Ahmed Youssef: MLHAD: A Machine Learning based Simulation for Hadronization
Ahmed Youssef: MLHAD: A Machine Learning based Simulation for Hadronization
Hadronization, a crucial component of event generation, is traditionally simulated using fine-tuned empirical models. While current phenomenological models have been quite successful overall in simulating this process, there are still areas where they lack accuracy in describing the underlying physics. … Read More
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Prospecting for new physics using muons
Prospecting for new physics using muons
Speakers: Jure Zupan (University of Cincinnati) https://zoom.us/j/3601731049?pwd=bVNQRjUxU2ExZ0cveWcxYXNUUGdjZz09 https://indico.ijs.si/event/1723/