How many quark-quark collisions are there on the average in a hadron-hadron collision?

1976 ◽  
Vol 16 (10) ◽  
pp. 317-320
Author(s):  
J. Fröyland
Keyword(s):  
Hadron Collision ◽  
Hadron Hadron Collision

INTERMITTENCY IN MULTIPARTICLE PRODUCTION — A BRIEF EXPERIMENTAL SURVEY

1989 ◽  
Vol 04 (19) ◽  
pp. 1871-1877 ◽  
Author(s):  
B. BUSCHBECK ◽  
P. LIPA
Keyword(s):  
Particle Production ◽  
Heavy Ion ◽  
Multiparticle Production ◽  
Heavy Ion Collision ◽  
Hadron Collision ◽  
Ion Collision ◽  
Hadron Hadron Collision ◽  
Experimental Survey

Intermittency patterns of fluctuations in particle production are observed in heavy ion collision experiments, hadron-hadron collision experiments and in e+e− experiments establishing the existence of this phenomenon. Some regularities are reviewed.

CHOU-YANG MULTIPLICITY CORRELATIONS IN HIGH ENERGY MULTIPARTICLE PRODUCTION AND LHC PREDICTION

2009 ◽  
Vol 24 (18n19) ◽  
pp. 3552-3560 ◽  
Author(s):  
W. C. LAI ◽  
A. H. CHAN ◽  
C. H. OH
Keyword(s):  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Cluster Size ◽  
Multiplicity Distribution ◽  
Negative Binomial ◽  
High Energy ◽  
Hadron Collision ◽  
Correlation Parameter ◽  
Wide Range ◽  
Hadron Hadron Collision

A Chou-Yang Type multiplicity distribution which consists of a stochastic (binomial) component for z = nf - nb and a nonstochastic (Generalized Multiplicity Distribution) component for n = nf + nb, is used to analyze the forward-backward multipicity distributions for hadron hadron collision over a wide range of cms energy. The results are compared with the multiplicity distribution using the Negative Binomial Distribution. Finally, cluster size r = 3.30±0.14 and the correlation parameter b = 0.98 are predicted for 14 TeV.

scholarly journals What Model of Hadrons Does the Lepton-Hadron Collision Require ?

1973 ◽  
Vol 49 (3) ◽  
pp. 957-974 ◽  
Author(s):  
Akira Kakuto ◽  
Hirofumi Senju
Keyword(s):  
Hadron Collision

scholarly journals Improved extrapolation methods of data-driven background estimations in high energy physics

2021 ◽  
Vol 81 (7) ◽  
Author(s):  
Suyong Choi ◽  
Hayoung Oh
Keyword(s):  
High Energy Physics ◽  
Hadron Collider ◽  
High Energy ◽  
Data Driven ◽  
Extrapolation Methods ◽  
Hadron Collision ◽  
Mathematical Background ◽  
Energy Physics

AbstractData-driven methods of background estimations are often used to obtain more reliable descriptions of backgrounds. In hadron collider experiments, data-driven techniques are used to estimate backgrounds due to multi-jet events, which are difficult to model accurately. In this article, we propose an improvement on one of the most widely used data-driven methods in the hadron collision environment, the “ABCD” method of extrapolation. We describe the mathematical background behind the data-driven methods and extend the idea to propose improved general methods.

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