29 citations · 89 across the 6 of their papers we have counts for
7 papers
Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem
Valentin Munteanu, Vladimir Starostin, Alessandro Greco +5
Due to the lack of phase information, determining the physical parameters of multilayer thin films from measured neutron and X-ray reflectivity curves is, on a fundamental level, a…
Probing Axions through Tomography of Anisotropic Cosmic Birefringence
Alessandro Greco, Nicola Bartolo, Alessandro Gruppuso
Cosmic birefringence is the in-vacuo rotation of the linear polarization plane experienced by photons of the Cosmic Microwave Background (CMB) radiation when theoretically well-mot…
Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering
Alessandro Greco, Vladimir Starostin, Evelyn Edel +8
This work demonstrates the Python package mlreflect which implements an optimized pipeline for the automized analysis of reflectometry data using machine learning. The package comb…
Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data
Vladimir Starostin, Valentin Munteanu, Alessandro Greco +6
Understanding the processes of perovskite crystallization is essential for improving the properties of organic solar cells. In situ real-time grazing-incidence X-ray diffraction (G…
Cosmic Birefringence: Cross-Spectra and Cross-Bispectra with CMB Anisotropies
Alessandro Greco, Nicola Bartolo, Alessandro Gruppuso
Parity-violating extensions of Maxwell electromagnetism induce a rotation of the linear polarization plane of photons during propagation. This effect, known as cosmic birefringence…
Measurements of blackbody radiation-induced transition rates between high-lying S, P and D Rydberg levels
Matteo Archimi, Matteo Ceccanti, Marco Distefano +7
We report experimental measurements of the rates of blackbody radiation-induced transitions between high-lying (n>60) S, P and D Rydberg levels of rubidium atoms in a magneto-optic…
Fast Fitting of Reflectivity Data of Growing Thin Films Using Neural Networks
Alessandro Greco, Vladimir Starostin, Christos Karapanagiotis +6
X-ray reflectivity (XRR) is a powerful and popular scattering technique that can give valuable insight into the growth behavior of thin films. In this study, we show how a simple a…