12 papers
Safe Domain Adaptation for Physics: Overcoming Nuisances, Label Shifts, and Simulation Priors
Ivan Kharuk
Domain adaptation is widely used to make neural networks trained on simulations applicable to experimental data. Its premise is that the two domains differ only in nuisances, and t…
From raw data to neutrino candidates: a neural-network pipeline for Baikal-GVD
A. Matseiko, G. Plotnikov, I. Kharuk
We present a neural-network-based data processing pipeline for Baikal-GVD, designed to improve event reconstruction quality and accelerate neutrino candidates selection. The pipeli…
Heavy interstellar scattering toward the near end of the Galactic bar
A. B. Pushkarev, A. Brunthaler, Y. Y. Kovalev +8
We present results of a pilot observational wide-field VLBI campaign on probing scattering properties of the partly ionized interstellar medium towards the Galactic plane sky regio…
Benchmarking Hadronic Models in Geant4 for Detector Simulations
S. D. Savenkov, A. O. Svetlichnyi, I. A. Pshenichnov
The construction of modern detectors used in high-energy physics experiments is typically guided by modeling with the Geant4 toolkit to evaluate detector performance in terms of ge…
Challenge of nuclear transmutation in heavy-ion colliders
I. A. Pshenichnov, S. D. Savenkov, A. O. Svetlichnyi
We investigate the production of secondary nuclei in the hadronic fragmentation and electromagnetic dissociation (EMD) of Ne beams at the LHC and Xe beams at NICA. F…
Microring resonator as a Rayleigh mirror for broadband laser-cavity comb generation
Aram A. Mkrtchyan, Anastasia S. Netrusova, Mikhail S. Mishevsky +7
High-quality microring resonators (MRRs) have proven to be promising sources of optical combs generated from continuous-wave radiation. In addition to the primary comb that propaga…