The maximum entropy tecniques and the statistical description of systems
B. Z. Belashev, M. K. Suleymanov
Abstract
The maximum entropy technique (MENT) is used to determine the distribution functions of physical values. MENT naturally combines required maximum entropy, the properties of a system and connection conditions in the form of restrictions imposed on the system. It can, therefore, be employed to statistically describe closed and open systems. Examples in which MENT is used to describe equilibrium and non-equilibrium states, as well as steady states that are far from being in thermodynamic equilibrium, are discussed.
Create a lesson
Related papers
Observation of double ss production in e+e- collision at s = 3.08~GeV
BESIII Collaboration, M. Ablikim, M. N. Achasov et al.
A heterogeneous and vectorized sequence for the HL-LHC full tracking reconstruction of the CMS experiment
Emmanouil Vourliotis
Coverage Is Not Ordering: Ancillary Leakage and Representation Dependence in Covariance-Based Inference
Tommaso Dorigo
IRIS-HEP 2026 Statistical Ecosystem Blueprint White Paper
Matthew Feickert, Massimiliano Galli
Constraints on the Higgs boson total width from on-shell signal-background interference in the Hγγ decay channel with pp collisions at s=13 TeV with the ATLAS detector
ATLAS Collaboration
Status and Prospects of the HEP Statistical Inference Ecosystem
Massimiliano Galli