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 …

A wide range of exotic bound systems incorporating antiprotons (atoms, atomic ions,
molecules or molecular ions) can be formed, in many cases simply by replacing at least one …

During the last fifty years, nonneutral plasma physics has developed into a definite subfield
of basic research, whose main focus has been on the collective properties of systems …

Abstract The ASACUSA (Atomic Spectroscopy And Collisions Using Slow Antiprotons)
collaboration plans to measure the ground-state hyperfine splitting of antihydrogen in a …

Magnetized nonneutral plasma composed of electrons or positrons couples to the local
microwave environment via cyclotron radiation. The equilibrium plasma temperature …

Antihydrogen atoms are routinely formed at the Antiproton Decelerator at CERN in a wide
range of Rydberg states. To perform precision measurements, experiments rely on ground …

Antihydrogen atoms are produced at CERN in highly excited Rydberg states. However,
precision measurements require anti-atoms in ground state. Whereas experiments currently …

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 …

Simulations have been performed of the radial transport of antiprotons in positron plasmas
under ambient conditions typical of those used in antihydrogen formation experiments. The …