scholarly journals On correlation functions of operators dual to classical spinning string states

2010 ◽  
Vol 2010 (5) ◽  
Author(s):  
Romuald A. Janik ◽  
Piotr Surówka ◽  
Andrzej Wereszczyński
Keyword(s):  
Correlation Functions ◽  
Functions Of Operators

scholarly journals ON SEMICLASSICAL CALCULATION OF THREE-POINT FUNCTIONS IN AdS5×T1, 1

2012 ◽  
Vol 27 (15) ◽  
pp. 1250091 ◽  
Author(s):  
M. MICHALCIK ◽  
R. C. RASHKOV ◽  
M. SCHIMPF
Keyword(s):  
Gauge Theory ◽  
Correlation Functions ◽  
Suggested Procedure ◽  
Semiclassical Methods ◽  
Point Correlation ◽  
Functions Of Operators

Recently there has been progress on the computation of two- and three-point correlation functions with two "heavy" states via semiclassical methods. We extend this analysis to the case of AdS5×T1, 1, and examine the suggested procedure for the case of several simple string solutions. By making use of AdS/CFT duality, we derive the relevant correlation functions of operators belonging to the dual gauge theory.

scholarly journals Correlation functions of operators and Wilson surfaces in thed=6,(0,2) theory in the largeNlimit

1999 ◽  
Vol 60 (8) ◽  
Author(s):  
Richard Corrado ◽  
Bogdan Florea ◽  
Robert McNees
Keyword(s):  
Correlation Functions ◽  
Functions Of Operators

Correlation functions in the twisted N = 4 model

1997 ◽  
Vol 508 (1-2) ◽  
pp. 468-482
Author(s):  
W Pei
Keyword(s):  
Correlation Functions

CROSS-CORRELATION FUNCTIONS OF THE FIELD EMISSION FLUCTUATIONS WITH SLIT PROBED REGIONS

1989 ◽  
Vol 50 (C8) ◽  
pp. C8-97-C8-102 ◽  
Author(s):  
J. BEBEN ◽  
CH. KLEINT ◽  
R. MECLEWSKI
Keyword(s):  
Field Emission ◽  
Correlation Functions ◽  
Cross Correlation

FIDDLE. Simultaneous Indexing and Structure Solution from Powder Diffraction Data using a Genetic Algorithm and Correlation Functions

2019 ◽  
Author(s):  
Carmen Guguta ◽  
Jan M.M. Smits ◽  
Rene de Gelder
Keyword(s):  
Genetic Algorithm ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Correlation Functions ◽  
Cross Correlation ◽  
Simultaneous Optimization ◽  
Powder Diffraction Data ◽  
Structure Solution ◽  
Matching Technique

A method for the determination of crystal structures from powder diffraction data is presented that circumvents the difficulties associated with separate indexing. For the simultaneous optimization of the parameters that describe a crystal structure a genetic algorithm is used together with a pattern matching technique based on auto and cross correlation functions.<br>

Sign in / Sign up

Export Citation Format

Share Document