Simulations of Particle Interactions with Matter

From New IAC Wiki
Revision as of 15:45, 31 August 2007 by Oborn (talk | contribs) (→‎Example 1)
Jump to navigation Jump to search

Overview

Particle Detection

A device detects a particle only after the particle transfers energy to the device.

Energy intrinsic to a device depends on the material used in a device

Some device of material with an average atomic number (Z) is at some temperature (T). The materials atoms are in constant thermal motion (unless T = zero degrees Klevin).

Statistical Thermodynamics tells us that the canonical energy distribution of the atoms is given by the Maxwell-Boltzmann statistics such that

P(E)=1kTeEkT

P(E) represents the probability of any atom in the system having an energy E where

k=1.38×1023JmoleK

Note: You may be more familiar with the Maxwell-Boltzmann distribution in the form

N(ν)=4πN(m2πkT)3/2v2emv2/2kT

where N(v)Δv would represent the molesules in the gas sample with speeds between v and v+Δv

Example 1

What is the probability that an atom in a 12.011 gram block of carbon would have and energy of 5 eV?

First lets check that the probability distribution is Normailized; ie: does \infinity0P(E)dE=1?

The Monte Carlo method

A Unix Primer

A Root Primer

Example 1: Create Ntuple and Draw Histogram

Cross Sections

Deginitions

Example : Elastic Scattering

Lab Frame Cross Sections

Stopping Power

Bethe Equation

Classical Energy Loss

Bethe-Bloch Equation

Energy Straggling

Thick Absorber

Thin Absorbers

Range Straggling

Electron Capture and Loss

Multiple Scattering

Interactions of Electrons and Photons with Matter

Bremsstrahlung

Photo-electric effect

Compton Scattering

Pair Production

Hadronic Interactions

Neutron Interactions

Elastic scattering

Inelasstic Scattering