1 citations · 2 across the 3 of their papers we have counts for
5 papers
Convolutional Auto-Encoders for Drift Chamber data de-noising for CLAS12
Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos +1
In this article, we present the results of using Convolutional Auto-Encoders for de-noising raw data for CLAS12 drift chambers. The de-noising neural network provides increased eff…
CLAS12 Track Reconstruction with Artificial Intelligence
Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos +3
In this article we describe the implementation of Artificial Intelligence models in track reconstruction software for the CLAS12 detector at Jefferson Lab. The Artificial Intellige…
Using Machine Learning for Particle Track Identification in the CLAS12 Detector
Polykarpos Thomadakis, Angelos Angelopoulos, Gagik Gavalian +1
Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively te…
Dispersion relation analysis of the neutral kaon regeneration amplitude in carbon
CPLEAR Collaboration, M. P. Locher, V. E. Markushin
We apply a forward dispersion relation to the regeneration amplitude for kaon scattering on 12C using all available data. The CPLEAR data at low energies allow the determination of…
Test of CPT Symmetry and Quantum Mechanics with Experimental data from CPLEAR
R. Adler, etal, J. Ellis +3
We use fits to recent published CPLEAR data on neutral kaon decays to and to constrain the CPT--violation parameters appearing in a formulation of the neutral kaon s…