24 citations · 25 across the 10 of their papers we have counts for
4 papers · 1 filter
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning
Kayoung Ban, Myeonghun Park, Raymundo Ramos
We develop a machine learning algorithm to turn around stratification in Monte Carlo sampling. We use a different way to divide the domain space of the integrand, based on the heig…
Gravity-Mediated Dark Matter at a low reheating temperature
Hyun Min Lee, Myeonghun Park, Veronica Sanz
We present a new study on the Gravity-Mediated Dark Matter (GMDM) scenario, where interactions between dark matter (DM) and the Standard Model are mediated by spin-two particles. E…
Hybrid quantum-classical approach for combinatorial problems at hadron colliders
Jacob L. Scott, Zhongtian Dong, Taejoon Kim +6
In recent years, quantum computing has drawn significant interest within the field of high-energy physics. We explore the potential of quantum algorithms to resolve the combinatori…
Exploring Exotic Decays of the Higgs Boson to Multi-Photons at the LHC via Multimodal Learning Approaches
A. Hammad, P. Ko, Chih-Ting Lu +1
The Standard Model (SM) Higgs boson, the most recently discovered elementary particle, may still serve as a mediator between the SM sector and a new physics sector related to dark…