scholarly journals Subcellular S-factors for low-energy electrons: A comparison of Monte Carlo simulations and continuous-slowing-down calculations

2008 ◽  
Vol 84 (12) ◽  
pp. 1034-1044 ◽  
Author(s):  
D. Emfietzoglou ◽  
K. Kostarelos ◽  
P. Hadjidoukas ◽  
C. Bousis ◽  
A. Fotopoulos ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Low Energy ◽  
Slowing Down ◽  
Low Energy Electrons

Monte Carlo Simulations of the detector response to low energy electrons for KATRIN

2012 ◽  
Vol 229-232 ◽  
pp. 493 ◽  
Author(s):  
P. Renschler ◽  
M. Babutzka ◽  
H. Bichsel ◽  
Z. Chaoui ◽  
M. Steidl
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Low Energy ◽  
Detector Response ◽  
Low Energy Electrons

Channeling Study of the Damage Induced in Ion-Irradiated Ceramic Oxides

2003 ◽  
Vol 792 ◽  
Author(s):  
Lionel Thomé ◽  
Aurélie Gentils ◽  
Frédérico Garrido ◽  
Jacek Jagielski
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Single Crystals ◽  
Depth Distribution ◽  
Ion Irradiation ◽  
High Energy ◽  
Low Energy ◽  
Ceramic Oxides ◽  
Slowing Down ◽  
Crystalline Ceramic

ABSTRACTThe evaluation of the damage generated in crystalline ceramic oxides placed in a radiative environment is a major challenge in many technological domains. The use of the channeling technique is particularly well adapted to measure the depth distribution of the irradiation-induced disorder and to monitor the damage build-up. This paper describes the methodology used for the study of radiation damage with the channeling technique, presents a new method of analysis of channeling data based on Monte-Carlo simulations and provides recent results concerning the damage induced in ion-bombarded ceramic oxide single crystals in both nuclear (low-energy ion irradiation) and electronic (high-energy ion irradiation) slowing-down regimes.

Acceleration Algorithms in Monte Carlo Simulations in Statistical Physics

1991 ◽  
Vol 02 (01) ◽  
pp. 201-208
Author(s):  
ROBERT H. SWENDSEN
Keyword(s):  
Monte Carlo ◽  
Phase Transitions ◽  
Monte Carlo Simulations ◽  
Statistical Physics ◽  
Relaxation Times ◽  
Critical Slowing Down ◽  
Cluster Approach ◽  
New Developments ◽  
Slowing Down ◽  
Thermodynamic Phase

Monte Carlo simulations of thermodynamic phase transitions are usually hampered by long relaxation times due to the phenomenon of “critical slowing down.” Using a mapping due to Fortuin and Kasteleyn, a cluster approach to Monte Carlo simulations has been developed, which greatly reduces relaxation times, improving efficiency by up to two or three orders of magnitude. New developments and extensions of this approach are also discussed.

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