V. Kozhuharov

activity

20122025

most citedA search for a doubly-charged Higgs boson in pp collisions at sqrt(s) = 7 TeV

178 citations · 294 across the 20 of their papers we have counts for

collaborators

Showing 2025Show all

7 papers · 1 filter

nucl-ex2025

Medium-induced modification of azimuthal correlations of electrons from heavy-flavor hadron decays with charged particles in Pb--Pb collisions at $s_{NN} = 5.02$ TeV

ALICE Collaboration

The azimuthal-correlation distributions between electrons from the decays of heavy-flavor hadrons and associated charged particles in Pb $-$ Pb collisions at $\sqrt{s_{\mathrm{NN}}}…

hep-ex2025

Searches for hidden sectors using $K^{+} \to π^{+} X$ decays

NA62 Collaboration

Results from the study of the rare decays $K^{+} \to π^{+} ν ν ˉ$ , $K^{+} \to π^{+} μ^{+} μ^{-}$ and $K^{+} \to π^{+} γ γ$ at the NA62 experiment at CERN are interpreted in terms…

physics.ins-det2025

Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods

Kalina Dimitrova, Venelin Kozhuharov, Ruslan Nastaev +1

Machine-learning-based methods can be developed for the reconstruction of clusters in segmented detectors for high energy physics experiments. Convolutional neural networks with au…

hep-ex2025★ 9 cited

Search for a new 17 MeV resonance via $e^{+} e^{-}$ annihilation with the PADME Experiment

F. Bossi, R. De Sangro, C. Di Giulio +24

The PADME Experiment at the Frascati DA $Φ$ NE LINAC has searched for a hypothetical particle with mass around 17 MeV, commonly referred to as the X17, using a positron beam incident…

physics.ins-det2025

Development and Explainability of Models for Machine-Learning-Based Reconstruction of Signals in Particle Detectors

Kalina Dimitrova, Venelin Kozhuharov, Peicho Petkov

Machine learning methods are being introduced at all stages of data reconstruction and analysis in various high-energy physics experiments. We present the development and applicati…

physics.ins-det2025

Characterization of the large-size NDL EQR20 silicon photomultipliers

Yu. A. Melikyan, I. G. Bearden, V. Buchakchiev +3

Unlike most commercially available silicon photomultipliers (SiPMs), EQR20 SiPMs produced by the Novel Device Laboratory (NDL) avoid using individual resistors to quench the avalan…

hep-ex2025★ 5 cited

Search for hadronic decays of feebly-interacting particles at NA62

NA62 Collaboration

The NA62 experiment at CERN has the capability to collect data in a beam-dump mode, where 400 GeV protons are dumped on an absorber. In this configuration, New Physics particles, i…

Medium-induced modification of azimuthal correlations of electrons from heavy-flavor hadron decays with charged particles in Pb--Pb collisions at sNN​=5.02​ TeV

Searches for hidden sectors using K+→π+X decays

Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods

Search for a new 17 MeV resonance via e+e− annihilation with the PADME Experiment

Development and Explainability of Models for Machine-Learning-Based Reconstruction of Signals in Particle Detectors

Characterization of the large-size NDL EQR20 silicon photomultipliers

Search for hadronic decays of feebly-interacting particles at NA62

Medium-induced modification of azimuthal correlations of electrons from heavy-flavor hadron decays with charged particles in Pb--Pb collisions at $s_{NN} = 5.02$ TeV

Searches for hidden sectors using $K^{+} \to π^{+} X$ decays

Search for a new 17 MeV resonance via $e^{+} e^{-}$ annihilation with the PADME Experiment