Components of detector response function: Monte Carlo simulations and experiment

2006 ◽  
Vol 35 (6) ◽  
pp. 347-351 ◽  
Author(s):  
Rengin Peköz ◽  
Cüneyt Can
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Response Function ◽  
Detector Response ◽  
Detector Response Function

SU-FF-T-23: A Monte Carlo Simulation and Deconvolution Study of Detector Response Function

2007 ◽  
Vol 34 (6Part7) ◽  
pp. 2406-2406
Author(s):  
Y Feng ◽  
M Lamba ◽  
H Elson ◽  
W Kassing ◽  
H Spitz
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Response Function ◽  
Detector Response ◽  
Detector Response Function

Linear iterative refinement method for the rapid simulation of borehole nuclear measurements: Part I — Vertical wells

Geophysics ◽  
2010 ◽  
Vol 75 (1) ◽  
pp. E9-E29 ◽  
Author(s):  
Alberto Mendoza ◽  
Carlos Torres-Verdín ◽  
Bill Preeg
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Numerical Technique ◽  
Integral Form ◽  
Computer Time ◽  
Iterative Refinement ◽  
Detector Response ◽  
Layer By Layer ◽  
Response Factors ◽  
Refinement Method

As a result of its high numerical accuracy and versatility to include complex tool configurations and arbitrary spatial distributions of material properties, the Monte Carlo method is the foremost numerical technique used to simulate borehole nuclear measurements. Although recent advances in computer technology have considerably reduced the computer time required by Monte Carlo simulations of borehole nuclear measurements, the efficiency of the method is still not sufficient for estimation of layer-by-layer properties or combined quantitative interpretation with other borehole measurements. We develop and successfully test a new linear iterative refinement method to simulate nuclear borehole measurements accurately and rapidly. The approximation stems from Monte Carlo-derived geometric response factors, referred to as flux sensitivity functions (FSFs), for specific density and neutron-tool configurations. Our procedure first invokes the integral representation of Boltzmann’s transport equation to describe the detector response from the flux of particles emitted by the radioactive source. Subsequently, we use theMonte Carlo N-particle (MCNP) code to calculate the associated detector response function and the particle flux included in the integral form of Boltzmann’s equation. The linear iterative refinement method accounts for variations of the response functions attributable to local perturbations when numerically simulating neutron and density porosity logs. We quantify variations in the FSFs of neutron and density measurements from borehole environmental effects and spatial variations of formation properties. Simulations performed with the new approximations yield errors in the simulated value of density of less than [Formula: see text] with respect to Monte Carlo-simulated logs. Moreover, for the case of radial geometric factor of density, we observe a maximum shift of [Formula: see text] at 90% of the total sensitivity as a result of realistic variations of formation density. For radial variation of neutron properties (migration length), the maximum change in the radial length of investigation is [Formula: see text]. Neutron porosity values simulated with the new approximation differ by less than 10% from Monte Carlo simulations. The approximations enable the simulation of borehole nuclear measurements in seconds of CPU time compared to several hours with MCNP.

scholarly journals On Low-Energy Tail Distortions in the Detector Response Function of X-Ray Microcalorimeter Spectrometers

2019 ◽  
Vol 199 (3-4) ◽  
pp. 1046-1054 ◽  
Author(s):  
G. C. O’Neil ◽  
P. Szypryt ◽  
E. Takacs ◽  
J. N. Tan ◽  
S. W. Buechele ◽  
...  
Keyword(s):  
Response Function ◽  
Low Energy ◽  
Detector Response ◽  
Detector Response Function ◽  
X Ray ◽  
Low Energy Tail

A method for measuring the detector response function for monochromatic electrons based on Compton scattering

2016 ◽  
Vol 59 (3) ◽  
pp. 333-336
Author(s):  
S. V. Bakhlanov ◽  
A. V. Derbin ◽  
I. S. Drachnev ◽  
A. S. Kayunov ◽  
V. N. Muratova ◽  
...  
Keyword(s):  
Compton Scattering ◽  
Response Function ◽  
Detector Response ◽  
Detector Response Function
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