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61 papers · 1 filter
A law of thin processes with neighbour-count thinning
Kateryna Hlyniana
We consider the superposition of i.i.d. simple point processes on and apply a dependent thinning , where the retention probability of a point depends…
Superconducting Hydride Mg2RhH6 Experimentally Achieved at Lower Pressure
Linjing Wu, Zelong Wang, Guiqi Liu +18
Although tremendous progress has been made in recent years in the field of polyhydride superconductors, the realization of high critical temperature superconductivity still relies…
Machine Learning in Application to Automatic Noise Processing of Solar Spectrograms
I. I. Yakovkin, A. O. Bartenev, N. V. Petrova
In this paper, a machine learning approach for processing solar spectral data were developed. Its performance was demonstrated using the example of the limb solar flare on July 17t…
Laboratory constraints on peV-scale mass splitting between ordinary and sterile neutron states
N. J. Ayres, Z. Berezhiani, G. Bison +19
Sterile states of matter, represented by a parallel ``mirror'' sector, may contribute to the observed dark matter in the Universe. We investigated the parameter space of neutron $(…
High-Field EPR/ENDOR of N/Be Centers for Defect Engineering in 6H-SiC
Yuliya Ermakova, Ekaterina Dmitrieva, Margarita Sadovnikova +5
Silicon carbide (SiC) in its various structural modifications is widely used in power semiconductor electronics, operating under extreme conditions of high temperature, high voltag…
Machine Learning of Quantum Entanglement from Noisy Measurements
Artur Czerwinski, Maciej Wiśniewski, Paweł Moszczyński
In this work, we investigate the application of Machine Learning (ML) algorithms to the identification and quantitative characterization of quantum entanglement in polarization-ent…