148 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Seoul National UniversityKR34 papers
- Sungkyunkwan UniversityKR17 papers
- Yonsei UniversityKR16 papers
- Korea UniversityKR15 papers
- Korea Institute for Advanced StudyKR14 papers
- University of PittsburghUS14 papers
- High Energy Accelerator Research OrganizationJP11 papers
- Kyungpook National UniversityKR11 papers
- Institute for Basic ScienceKR10 papers
- New Generation University CollegeET10 papers
- Tohoku UniversityJP10 papers
- Chonnam National UniversityKR9 papers
18 papers · 1 filter
Primordial cosmic complexity and effects of reheating
Pankaj Saha, Myeonghun Park
We study the effects of the reheating phase on the evolution of complexities for the primordial curvature perturbation using the squeezed formalism. We examine the evolution of the…
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering
Byeongmin Choi, YongHyun Lee, Yeunwoong Kyung +1
Recently, pre-trained language representation models such as bidirectional encoder representations from transformers (BERT) have been performing well in commonsense question answer…
Dark photon and dark mediated meson decays
Alakabha Datta, A. Hammad, Danny Marfatia +2
We study flavor changing neutral current decays of and mesons in the dark model, with the dark photon/dark mass between 10 MeV and 2 GeV. Although the model pr…
Disentangling the high and low cutoff scales via the trilinear Higgs couplings in the type-I two-Higgs-doublet model
Sin Kyu Kang, Jinheung Kim, Soojin Lee +1
The type-I two-Higgs-doublet model in the inverted Higgs scenario can retain the theoretical stability all the way up to the Planck scale. The Planck-cutoff scale, $Λ_{\rm cut}^{\r…
Riemannian Data preprocessing in Machine Learning to focus on QCD color structure
A. Hammad, Myeonghun Park
Identifying the quantum chromodynamics (QCD) color structure of processes provides additional information to enhance the reach for new physics searches at the Large Hadron Collider…
Perfect fluid with shear viscosity and spacetime evolution
Inyong Cho, Rajibul Shaikh
We investigate the anisotropic evolution of spacetime driven by perfect fluid with off-diagonal shear-viscosity components. We consider the simplest form of the equation of state f…
Sampling Agnostic Feature Representation for Long-Term Person Re-identification
Seongyeop Yang, Byeongkeun Kang, Yeejin Lee
Person re-identification is a problem of identifying individuals across non-overlapping cameras. Although remarkable progress has been made in the re-identification problem, it is…
Search for Mono-Higgs Signals in Final States Using Deep Neural Networks
A. Hammad, S. Khalil, S. Moretti
We study mono-Higgs signatures emerging in an illustrative new physics scenario involving Standard Model Higgs boson decays to bottom quark pairs using Hybrid Deep Neural Networks.…
Testing black hole mimickers with the Event Horizon Telescope image of Sagittarius A
Rajibul Shaikh
The Event Horizon Telescope (EHT) has recently observed the image and shadow of the supermassive compact object Sagittarius A (Sgr A). According to the EHT collaboration, t…
Exploration of Parameter Spaces Assisted by Machine Learning
A. Hammad, Myeonghun Park, Raymundo Ramos +1
We demonstrate two sampling procedures assisted by machine learning models via regression and classification. The main objective is the use of a neural network to suggest points li…
N-jettiness for muon jet pairs in electroweak high-energy processes
Junegone Chay, Taehyun Kwon
We study the -jettiness in the electroweak high-energy process for the final muon jet pairs, . Compared to QCD, the ma…
Kinematic Variables and Feature Engineering for Particle Phenomenology
Roberto Franceschini, Doojin Kim, Kyoungchul Kong +3
Kinematic variables have been playing an important role in collider phenomenology, as they expedite discoveries of new particles by separating signal events from unwanted backgroun…
Confronting the prediction of leptonic Dirac CP-violating phase with experiments
Yang Hwan Ahn, Sin Kyu Kang, Raymundo Ramos +1
We update and improve past efforts to predict the leptonic Dirac CP-violating phase with models that predict perturbatively modified tribimaximal or bimaximal mixing. Simple pertur…
Transcription-induced active forces suppress chromatin motion
Sucheol Shin, Guang Shi, Hyun Woo Cho +1
The organization of interphase chromosomes in a number of species is starting to emerge thanks to advances in a variety of experimental techniques. However, much less is known abou…
Implications of the new CDF-II -boson mass on two-Higgs-doublet models
Yang Hwan Ahn, Sin Kyu Kang, Raymundo Ramos
We present the implications of the recent measurement of boson at CDF II on the two-Higgs-doublet model (2HDM). In the analysis, we impose theoretical bounds such as vacuum sta…
Explicit Feature Interaction-aware Graph Neural Networks
Minkyu Kim, Hyun-Soo Choi, Jinho Kim
Graph neural networks (GNNs) are powerful tools for handling graph-structured data. However, their design often limits them to learning only higher-order feature interactions, leav…
Asymptotics and sign patterns for coefficients in expansions of Habiro elements
Ankush Goswami, Abhash Kumar Jha, Byungchan Kim +1
We prove asymptotics and study sign patterns for coefficients in expansions of elements in the Habiro ring which satisfy a strange identity. As an application, we prove asymptotics…
Detectable Gravitational Waves from preheating probes non-thermal Dark Matter
Anish Ghoshal, Pankaj Saha
We describe the challenges and pathways when probing inflaton as dark matter with the stochastic gravitational waves (GWs) signal generated during the (p)reheating. Such scenarios…