Using a randomized method of a maximum cross-section for simulating random structure systems with distributed transitions

2016 ◽  
Vol 19 (3) ◽  
Keyword(s):  
Cross Section ◽  
Random Structure ◽  
Maximum Cross Section ◽  
Randomized Method

scholarly journals Neutralino Proton Cross Sections in SUGRA and D-BRANE Models

2001 ◽  
Vol 16 (supp01b) ◽  
pp. 852-854 ◽  
Author(s):  
R. Arnowitt ◽  
B. Dutta ◽  
Y. Santoso
Keyword(s):  
Cross Section ◽  
Parameter Space ◽  
Cross Sections ◽  
Maximum Cross Section ◽  
Minimum Cross Section ◽  
The Future ◽  
Brane Models

We calculate the spin independent neutralino-proton cross section for universal SUGRA, non universal SUGRA and D-brane models with R-parity invariance. The regions of maximum cross section in these models has started to be probed by the current detectors. The minimum cross section generally is [Formula: see text] and hence will be accessible in the future detectors, barring special regions of parameter space where it can reduce to ≃10-12pb. However, the squarks and gluinos will be heavy [Formula: see text] in the latter case, but still accessible at the LHC.

85Sr PRODUCTION VIA PROTON INDUCED ON VARIOUS TARGETS USING TALYS 1.0 CODE

2010 ◽  
Vol 25 (18) ◽  
pp. 1541-1552 ◽  
Author(s):  
MAHDI SADEGHI ◽  
TAYEB KAKAVAND ◽  
ZAHRA ALIPOOR
Keyword(s):  
Experimental Data ◽  
Excitation Function ◽  
Cross Section ◽  
Radionuclidic Purity ◽  
Medium Energy ◽  
Maximum Cross Section

TALYS 1.0 code was used to calculate excitation function for proton induced on 85/87/ nat Rb , 89 Y and 88/87/86 Sr targets that lead to produce 85 Sr radioisotope using low and medium energy accelerators. Recommended thickness of the targets according to SRIM code was investigated. Theoretical integral yields for any reaction were computed. The results were compared with experimental data. 85 Rb (p, n)85 Sr process was determined as most interesting one due to radionuclidic purity. The TALYS 1.0 code predicts a maximum cross-section of about 798 mb at 11 MeV for this reaction.

Mathematical verification of the Monte Carlo maximum cross-section technique

2015 ◽  
Vol 21 (4) ◽  
Author(s):  
Victor S. Antyufeev
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Cross Section ◽  
Path Length ◽  
Radiation Transport ◽  
Free Path Length ◽  
Maximum Cross Section ◽  
The Monte Carlo Method ◽  
Section Technique ◽  
Probabilistic Proof

AbstractMaximum cross-section technique is used for solving problems of radiation transport by the Monte Carlo method to optimize the particles' free-path length modeling in inhomogeneous media. A probabilistic proof of a variation of this technique is proposed in the article.

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