4 citations · 10 across the 4 of their papers we have counts for
4 papers
Ariadne: PyTorch Library for Particle Track Reconstruction Using Deep Learning
Pavel Goncharov, Egor Schavelev, Anastasia Nikolskaya +1
Particle tracking is a fundamental part of the event analysis in high energy and nuclear physics. Events multiplicity increases each year along with the drastic growth of the exper…
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks
Alexander Uzhinskiy, Gennady Ososkov, Pavel Goncharov +2
Triplet loss function is one of the options that can significantly improve the accuracy of the One-shot Learning tasks. Starting from 2015, many projects use Siamese networks and t…
Catch and Prolong: recurrent neural network for seeking track-candidates
Dmitriy Baranov, Gennady Ososkov, Pavel Goncharov +1
One of the most important problems of data processing in high energy and nuclear physics is the event reconstruction. Its main part is the track reconstruction procedure which cons…
Wavelet analysis of angular distributions of secondary particles in high energy nucleus-nucleus interactions. Irregularity of particle pseudorapidity distributions
V. V. Uzhinskii, V. Sh. Navotny, G. A. Ososkov +2
Experimental data on sulphur and oxygen nuclei interactions with photoemulsion nuclei at the energies of 200 and 60 GeV/nucleon are analyzed with the help of a continuous wavelet t…