Machines for High-Energy Nuclear Physics
نویسندگان
چکیده
منابع مشابه
Support Vector Machines in High Energy Physics
This lecture will introduce the Support Vector algorithms for classification and regression. They are an application of the so called kernel trick, which allows the extension of a certain class of linear algorithms to the non linear case. The kernel trick will be introduced and in the context of structural risk minimization, large margin algorithms for classification and regression will be pres...
متن کاملLarge size LSO and LYSO crystal scintillators for future high-energy physics and nuclear physics experiments
The high energy and nuclear physics community is interested in fast bright heavy crystal scintillators, such as cerium-doped LSO and LYSO. An investigation is being carried out to explore the potential use of the LSO and LYSO crystals in future physics experiments. Optical and scintillation properties, including longitudinal transmittance, emission and excitation spectra, light output, decay ki...
متن کاملNonextensive Statistical Mechanics -applications to Nuclear and High Energy Physics *
A variety of phenomena in nuclear and high energy physics seemingly do not satisfy the basic hypothesis for possible stationary states to be of the type covered by Boltzmann-Gibbs (BG) statistical mechanics. More specifically, the system appears to relax, along time, on macroscopic states which violate the ergodic assumption. Some of these phenomena appear to follow, instead, the prescriptions ...
متن کاملParticle and Nuclear Physics with High Energy Leptons
In high centre-of-mass energy lepton-nucleon collisions the space-time time resolution of partonic processes can be fine-tuned within a dynamical range which is unattainable in hadronic collisions. Replacing nucleons by nuclei of variable atomic number enables one to tune the strength of colour forces. The experimental program of high energy electronnucleon and its extension to electron-nucleus...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature
سال: 1963
ISSN: 0028-0836,1476-4687
DOI: 10.1038/1971236a0