Monte Carlo Simulation of Channeled and Random Profiles of Heavy Ions Implanted in Silicon at High Energy (1.2 MeV)

1987 ◽  
Vol 102 (1) ◽  
pp. K13-K18 ◽  
Author(s):  
A. M. Mazzone
Instruments ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 17
Author(s):  
Eldred Lee ◽  
Kaitlin M. Anagnost ◽  
Zhehui Wang ◽  
Michael R. James ◽  
Eric R. Fossum ◽  
...  

High-energy (>20 keV) X-ray photon detection at high quantum yield, high spatial resolution, and short response time has long been an important area of study in physics. Scintillation is a prevalent method but limited in various ways. Directly detecting high-energy X-ray photons has been a challenge to this day, mainly due to low photon-to-photoelectron conversion efficiencies. Commercially available state-of-the-art Si direct detection products such as the Si charge-coupled device (CCD) are inefficient for >10 keV photons. Here, we present Monte Carlo simulation results and analyses to introduce a highly effective yet simple high-energy X-ray detection concept with significantly enhanced photon-to-electron conversion efficiencies composed of two layers: a top high-Z photon energy attenuation layer (PAL) and a bottom Si detector. We use the principle of photon energy down conversion, where high-energy X-ray photon energies are attenuated down to ≤10 keV via inelastic scattering suitable for efficient photoelectric absorption by Si. Our Monte Carlo simulation results demonstrate that a 10–30× increase in quantum yield can be achieved using PbTe PAL on Si, potentially advancing high-resolution, high-efficiency X-ray detection using PAL-enhanced Si CMOS image sensors.


1989 ◽  
Vol 157 ◽  
Author(s):  
A.M. Mazzone

ABSTRACTIn this work a formalism for the evaluation of electronic losses of heavy ions with energy of few MeV in crystalline semiconductor targets is presented. The stopping values are used in a Monte Carlo simulation to calculate the ion range in silicon and in gallium arsenide for a random orientation of the target and under channelling conditions.


Sign in / Sign up

Export Citation Format

Share Document