Short-range and long-range correlations in cosmic ray interactions

1984 ◽  
Vol 62 (5) ◽  
pp. 442-445 ◽  
Author(s):  
R. Hasan ◽  
M. Q. R. Khan ◽  
M. S. Ahmad ◽  
M. S. Swami
Keyword(s):  
Long Range ◽  
Short Range ◽  
Cosmic Ray ◽  
Nucleon Nucleon ◽  
Centre Of Mass ◽  
Mass System ◽  
Long Range Correlations ◽  
Cosmic Ray Interactions ◽  
Nucleon Interactions

Forward–backward correlations in the centre of mass system have been studied in nucleon–nucleon interactions at cosmic ray energies [Formula: see text]. The study indicates the presence of short-range as well as long-range correlations. The study also indicates the production of heavy clusters, predicted by Adamovich et al. in their multiperipheral model, in cosmic ray interactions.

Analytical and empirical fluctuation functions of the EEG microstate random walk - Short-range vs. long-range correlations

NeuroImage ◽  
2016 ◽  
Vol 141 ◽  
pp. 442-451 ◽  
Author(s):  
F. von Wegner ◽  
E. Tagliazucchi ◽  
V. Brodbeck ◽  
H. Laufs
Keyword(s):  
Random Walk ◽  
Long Range ◽  
Short Range ◽  
Long Range Correlations

scholarly journals Probing short-range nucleon-nucleon interactions with an electron-ion collider

2016 ◽  
Vol 93 (4) ◽  
Author(s):  
Gerald A. Miller ◽  
Matthew D. Sievert ◽  
Raju Venugopalan
Keyword(s):  
Short Range ◽  
Nucleon Nucleon ◽  
Nucleon Interactions

Smooth nucleon–nucleon interactions and meson theory

1968 ◽  
Vol 46 (8) ◽  
pp. 963-969 ◽  
Author(s):  
Pierre Desgrolard ◽  
J. M. Pearson ◽  
Gérard Saunier
Keyword(s):  
Nuclear Matter ◽  
Long Range ◽  
Short Range ◽  
Singlet State ◽  
Nucleon Nucleon ◽  
Second Order ◽  
Meson Theory ◽  
The One ◽  
Range Part ◽  
Short Range Correlations

Tabakin and Davies have shown that it is possible to fit the singlet-state nucleon–nucleon data with a potential that is smooth enough to give very small second-order terms in an ordinary perturbation–theoretic treatment of nuclear matter. However, their potential is unrealistic in that the requirements of meson theory are in no way satisfied in the long-range region. It is shown here that a potential whose long-range part conforms to the OBEP of Bryan and Scott can still be made to fit the phase shifts without increasing significantly the second-order terms. Thus, with meson theory being incapable of making an unequivocal statement about the short-range region, it will only be by resorting to the experimental evidence for short-range correlations in nuclei that one will be able to resolve the question as to whether or not an interaction as smooth as the one considered here can be regarded as "real" rather than merely "effective". In any event, the existence of such correlations cannot be inferred from the singlet nucleon–nucleon data.

scholarly journals DETRENDED FLUCTUATION ANALYSIS OF AUTOREGRESSIVE PROCESSES

2007 ◽  
Vol 07 (03) ◽  
pp. L249-L255 ◽  
Author(s):  
VASILE V. MORARIU ◽  
LUIZA BUIMAGA-IARINCA ◽  
CĂLIN VAMOŞ ◽  
ŞTEFAN M. ŞOLTUZ
Keyword(s):  
Long Range ◽  
Detrended Fluctuation Analysis ◽  
Short Range ◽  
Interaction Constant ◽  
Fluctuation Analysis ◽  
Autoregressive Processes ◽  
Long Range Correlations ◽  
Correlation Exponent ◽  
The Relationship ◽  
Detrended Fluctuation

Autoregressive processes (AR) have typical short-range memory. Detrended Fluctuation Analysis (DFA) was basically designed to reveal long-range correlations in non stationary processes. However DFA can also be regarded as a suitable method to investigate both long-range and short-range correlations in non stationary and stationary systems. Applying DFA to AR processes can help understanding the non-uniform correlation structure of such processes. We systematically investigated a first order autoregressive model AR(1) by DFA and established the relationship between the interaction constant of AR(1) and the DFA correlation exponent. The higher the interaction constant the higher is the short-range correlation exponent. They are exponentially related. The investigation was extended to AR(2) processes. The presence of an interaction between distant terms with characteristic time constant in the series, in addition to a near by interaction will increase the correlation exponent and the range of correlation while the effect of a distant negative interaction will significantly decrease the range of interaction, only. This analysis demonstrate the possibility to identify an AR(1) model in an unknown DFA plot or to distinguish between AR(1) and AR(2) models.

scholarly journals LONG-RANGE FRACTAL CORRELATIONS IN LITERARY CORPORA

Fractals ◽  
2002 ◽  
Vol 10 (04) ◽  
pp. 451-461 ◽  
Author(s):  
MARCELO A. MONTEMURRO ◽  
PEDRO A. PURY
Keyword(s):  
Long Range ◽  
Short Range ◽  
Fractal Structure ◽  
Written Language ◽  
Long Range Correlations ◽  
Large Samples ◽  
Sentence Level ◽  
Set Up ◽  
Short Range Correlations ◽  
Linguistic Basis

In this paper, we analyze the fractal structure of long human language records by mapping large samples of texts onto time series. The particular mapping set up in this work is inspired on linguistic basis in the sense that is retains the word as the fundamental unit of communication. The results confirm that beyond the short-range correlations resulting from syntactic rules acting at sentence level, long-range structures emerge in large written language samples that give rise to long-range correlations in the use of words.

scholarly journals Short-range interactions versus long-range correlations in bird flocks

2015 ◽  
Vol 92 (1) ◽  
Author(s):  
Andrea Cavagna ◽  
Lorenzo Del Castello ◽  
Supravat Dey ◽  
Irene Giardina ◽  
Stefania Melillo ◽  
...  
Keyword(s):  
Long Range ◽  
Short Range ◽  
Long Range Correlations

scholarly journals Basic features of correlated ion stopping in plasmas

1996 ◽  
Vol 14 (4) ◽  
pp. 749-763 ◽  
Author(s):  
Günter Zwicknagel ◽  
Claude Deutsch
Keyword(s):  
Long Range ◽  
Correlation Length ◽  
Short Range ◽  
Single Individual ◽  
Screening Length ◽  
Long Range Correlations ◽  
Ion Clusters ◽  
Large Ratio ◽  
Basic Features ◽  
Short Range Correlations

We reconsider correlated ion stopping in plasmas with the aim to emphasize the basic features and their underlying physics. For a better understanding of the effects connected with correlated ion stopping, it is useful to distinguish two types of correlated ion stopping, characterized by a small or large ratio of the correlation length of the ions to the screening length in the plasma. These two types of correlated ion stopping are of rather different character. We describe and explain these differences and give some generic examples of ion structures and ion clusters to demonstrate the basic features of both types of correlated stopping. This shows that only the short-range correlations always yield an enhanced stopping, whereas the long-range correlations, in general, reduce the stopping compared to single, individual ions. We mainly consider classical plasmas; the basic features, however, remain unchanged for a jellium target as well as for a plasma at any degeneracy.

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