592 citations · 6.7k across the 119 of their papers we have counts for
123 papers
Hunting the Unseen: Deep Learning Analysis for Semi-Visible Jet Tagging
Miguel A. Avendaño-Bernal, Srinandan Dasmahapatra, Ahmed Hammad +4
Semi-Visible Jets (SVJs) constitute a distinctive collider signature of strongly interacting dark sectors, embedding Dark Matter candidates, wherein jets contain both visible Stand…
JFlow: Model-Independent Spherical Jeans Analysis using Equivariant Continuous Normalizing Flows
Sung Hak Lim, Kohei Hayashi, Shun'ichi Horigome +2
The kinematics of stars in dwarf spheroidal galaxies have been studied to understand the structure of dark matter halos. However, the kinematic information of these stars is often…
Reweighting and Analysing Event Generator Systematics by Neural Networks on High-Level Features
Amon Furuichi, Sung Hak Lim, Mihoko M. Nojiri
The state-of-the-art deep learning (DL) models for jet classification use jet constituent information directly, improving performance tremendously. This draws attention to interpre…
Machine Learning Electroweakino Production
Rafał Masełek, Mihoko M. Nojiri, Kazuki Sakurai
The system of light electroweakinos and heavy squarks gives rise to one of the most challenging signatures to detect at the LHC. It consists of missing transverse energy recoiled a…
Jet Classification Using High-Level Features from Anatomy of Top Jets
Amon Furuichi, Sung Hak Lim, Mihoko M. Nojiri
Recent advancements in deep learning models have significantly enhanced jet classification performance by analyzing low-level features (LLFs). However, this approach often leads to…
Monojet signatures from gluino and squark decays
Iñaki Lara, Trygve Buanes, Rafał Masełek +3
We study the monojet and dijet channels at the LHC as a tool for searching for squarks and gluinos. We consider two separate R-parity conserving supersymmetric scenarios. In the fi…