Institution
Istituto Nazionale di Fisica Nucleare, Sezione di Pisa
Recent research
- Physics & SpaceOpen access
Closed string trajectories from a new “tiling”
A bstract Based on an efficient technology for the excavation of entire open string trajectories of physical states, we propose an algorithmic method of constructing the largely unknown closed string trajectories. Due to combinatorial complexity, the “double copy” of open strings...
- AI & ComputingOpen access
Subadditivity and optimal matching of unbounded samples
We obtain new bounds for the optimal matching cost for empirical measures with unbounded support. For a large class of radially symmetric and rapidly decaying probability laws, we prove for the first time the asymptotic rate of convergence for the whole range of power exponents p...
- Materials & EnergyOpen access
Construction and characterisation of the DarkSide-20k veto silicon photo-multiplier tiles
Abstract Silicon photo-multipliers (SiPMs) are state-of-the-art sensors capable of detecting a single photoelectron under cryogenic conditions, with potentially lower radioactivity than widely used photomultiplier tubes. The DarkSide-20k experiment, designed to perform direct dar...
- Engineering & TechnologyOpen access
This study presents a novel method to map the areas affected by ballistic fallout generated by major explosions and paroxysms at Stromboli as well as quantitative analyses of these areas. The mapping method is based on a simplified description of the affected areas by a circular...
- Climate & EnvironmentOpen access
This study presents the first probability hazard maps of the areas potentially affected by ballistic fallout from major explosions and paroxysms at Stromboli, based on mathematical analyses of the extensive historical and recent records of its explosive activity. This novel appro...
- Engineering & TechnologyOpen access
How to train your resistive network: Generalized equilibrium propagation and analytical learning
Machine learning is a powerful method of extracting meaning from data; unfortunately, current digital hardware is extremely energy-intensive. There is interest in an alternative analog computing implementation that could match the performance of traditional machine learning while...
- Physics & SpaceOpen access
Walk Based Laplacians for Modeling Diffusion on Complex Networks
Abstract We develop a novel framework for modeling diffusion on complex networks by constructing Laplacian-like operators based on walks around a graph. Our approach introduces a parametric family of walk-based Laplacians that naturally incorporate memory effects by excluding or...
- Physics & SpaceOpen access
Evidence of a massive accretion event 1.8 billion years before the Gaia-Sausage-Enceladus merger
Abstract The merger history of the Galaxy has been traced back firmly to a redshift of 2 (10 billion years ago). While evidence for the existence of at least one more substantial merger before this time has been presented, its interpretation is yet to be fully established. Here w...
- Physics & Space
The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 3,200 new measurements from 903 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and b...
- Physics & SpaceOpen access
Detailed study of non-equilibrium characteristics of quasi-neutral TNSA plasmas
In an experiment performed in November 2022 at the petawatt (PW) laser facility at Vega III located in Salamanca-Spain, we have studied the successful production of several radioisotopes using protons accelerated by the Target Normal Sheath Acceleration (TNSA) mechanism (Rodrigue...