activity
19932021
most citedNeutron Interferometry constrains dark energy chameleon fields

90 citations · 967 across the 118 of their papers we have counts for

collaborators

118 papers

hep-ph2021★ 4 cited

Radiative corrections of order to Sirlin's radiative corrections of order , induced by the hadronic structure of the neutron

A. N. Ivanov, R. Höllwieser, N. I. Troitskaya +2

We investigate the contributions of the hadronic structure of the neutron to radiative corrections (or the inner RC) to the neutron beta decay, where $α…

quant-ph2021

Eigenvalues and Eigenstates of Quantum Rabi Model

Andrei Ivanov

The scientific interest in the analytical solution of the quantum Rabi model is due to the widespread use of this simple model in quantum optics, quantum computing, cavity QED, and…

hep-ph2021★ 4 cited

Theoretical description of the neutron beta decay in the standard model at the level of 10^{-5}

A. N. Ivanov, R. Höllwieser, N. I. Troitskaya +2

In the framework of the Standard Model (SM) a theoretical description of the neutron beta decay is given at the level of 10^{-5}. The neutron lifetime and correlation coefficients…

hep-ph2021★ 4 cited

On the structure of the correlation coefficients S(E_e) and U(E_e) of the neutron beta decay

A. N. Ivanov, R. Höllwieser, N. I. Troitskaya +2

In the standard effective V - A theory of low-energy weak interactions (i.e. in the Standard Model (SM)) we analyze the structure of the correlation coefficients S(E_e) and U(E_e),…

hep-ph2021★ 4 cited

On the correlation coefficient T(E_e) of the neutron beta decay, caused by the correlation structure invariant under discrete P, C and T symmetries

A. N. Ivanov, R. Höllwieser, N. I. Troitskaya +2

We analyze the correlation coefficient T(E_e), which was introduced by Ebel and Feldman (Nucl. Phys. 4, 213 (1957)). The correlation coefficient T(E_e) is induced by the correlatio…

cs.NE2020★ 28 cited

Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators

Andrei Ivanov, Ilya Agapov

This paper presents a novel approach for constructing neural networks which model charged particle beam dynamics. In our approach, the Taylor maps arising in the representation of…