7 citations · 15 across the 4 of their papers we have counts for
4 papers
Large-Scale Deep Learning for Multi-Jet Event Classification
Jiwoong Kim, Dongsung Bae, Kihyeon Cho +12
We report the largest scale deep learning with High Performance Computing (HPC) to physics analysis with the CMS simulation data in proton-proton collisions at 13 TeV. We build a C…
Updated Measurement of the Single Top Quark Production Cross Section and in the Missing Transverse Energy Plus Jets Topology in Collisions at TeV
CDF Collaboration, T. Aaltonen, S. Amerio +399
An updated measurement of the single top quark production cross section is presented using the full data set collected by the Collider Detector at Fermilab (CDF) and corresponding…
Right-handed current contributions in B -> K pi decays
Kihyeon Cho, Soo-hyeon Nam
We reexamine the right-handed current effects in transitions in nonmanifest left-right models. Using the effective Hamiltonian approach including all possible low-energy…
Heavy Flavor Physics through e-Science
Kihyeon Cho, Hyunwoo Kim
Heavy flavor physics is an important element in understanding the nature of physics. The accurate knowledge of properties of heavy flavor physics plays an essential role for the de…