This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with
the foundations of the theory and building it up, this is essential reading for any scientists …

Antihydrogen atoms with K or sub-K temperature are a powerful tool to precisely probe the
validity of fundamental physics laws and the design of highly sensitive experiments needs …

The Antihydrogen Experiment: Gravity, Interferometry, Spectroscopy (AEgIS) experiment is
conducted by an international collaboration based at CERN whose aim is to perform the first …

The mechanism of antiproton–nucleus annihilation at rest is not fully understood, despite
substantial previous experimental and theoretical work. In this study we used slow extracted …

A powerful and robust control system is a crucial, often neglected, pillar of any modern,
complex physics experiment that requires the management of a multitude of different …

Abstract Machine learning is increasingly being used not only in engineering applications
such as computer vision and speech recognition, but in data analysis for the natural …

Antihydrogen is at the forefront of antimatter research at the CERN Antiproton Decelerator.
Experiments aiming to test the fundamental CPT symmetry and antigravity effects require the …

We present the commissioning of the Fast Annihilation Cryogenic Tracker detector (FACT),
installed around the antihydrogen production trap inside the 1 T superconducting magnet of …

The goal of the AEgIS experiment is to measure the gravitational acceleration of
antihydrogen–the simplest atom consisting entirely of antimatter–with the ultimate precision …

We present a hybrid imaging/timing detector for force sensitive inertial measurements
designed for measurements on positronium, the metastable bound state of an electron and a …