Probability distribution of outgoing energy of particle

In summary, the probability distribution of outgoing energy of a particle describes the likelihood of various energy levels that a particle can possess after an interaction or decay process. This distribution is influenced by factors such as the initial conditions, the nature of the particle, and the mechanisms of energy transfer. Understanding this distribution is crucial for predicting the behavior of particles in fields like quantum mechanics and nuclear physics, and it aids in interpreting experimental results in particle physics.
  • #1
dark_matter_is_neat
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1
Homework Statement
Consider the scattering of particle 1 that is massless with particle 2 of mass m that is at rest in the lab frame. Let E and E' be the incoming and outgoing energy of particle 1 in the lab frame. Find the probability distribution of E' assuming that in the center of mass frame particle 1 is scatter in all directions with equal probability.
Relevant Equations
##p_{1} + p_{2} = p_{1}' + p_{2}'##
##v_{CM} = \frac{p_{total}}{E_{total}}##
So from particle 1 scattering in all directions with equal probability in the CM frame, I believe that that means probability of finding particle 1 in an angular range ##d\theta## is just ##\frac{d \theta}{2 \pi}##. Let P(E') be the probability density of E', so from the probability of finding the particle in a range ##d \theta##, ##P(E')dE' = \frac{d \theta}{2 \pi} ##, so ##P(E') = \frac{1}{2 \pi} \frac{d \theta}{dE'}##. Since this expression is in terms of the angle in the CM frame and not the lab frame, I need to solve for E' in terms of the angle in CM frame.

In the CM frame ##E'_{CM} = \frac{s - m^{2}}{2 \sqrt{s}}## where s is just the Mandelstam variable ##s = (p_{1} + p_{2})^{2}##. Since the square of a 4-vector is Lorentz invariant, ##(p_{1}+p_{2})^{2} = p_{1}^{2} + p_{2}^{2} + 2 p_{1} p_{2} = m^{2} + 2mE## (note I'm using natural units). So ##E'_{CM} = \frac{mE}{\sqrt{m^{2} + 2mE}}##. Now I need to relate this expression to E' in the lab frame, so I'll use a Lorentz transform for ##v_{CM} = \frac{p_{1}}{E + m} = \frac{E}{E+m}## and take the direction that particle 1 is initially moving in to be along the z axis for simplicity, so ##E' = \gamma E'_{CM} + \alpha E'_{CM}cos(\theta)## where ##\gamma = \frac{1}{\sqrt{1 - (v_{CM)^{2}}}## and ##\alpha = v_{CM} \gamma## when using natural units.
So rearranging this ## \theta = cos^{-1}(\frac{E' - \gamma E'_{CM}}{\alpha E'_{CM}})##, so plugging this back into my earlier expression for ##P(E')##,
I get ##P(E') = \frac{1}{2 \pi} \frac{1}{1 - (\frac{E' - \gamma E'_{CM}}{\alpha E'_{CM}})^{2} }##.

Is the right way to go about this problem or is something wrong with my thinking?
 
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  • #2
So since it looks like I made a formatting error and for some reason I can't edit my post anymore, here is the section with messed up formatting fixed:
##\gamma = \frac{1}{\sqrt{1 - v_{CM}^{2}}}## and ##\alpha = v_{CM} \gamma## when using natural units. So So rearranging the expression for E' ##\theta = cos^{-1}(\frac{E' - \gamma E'_{CM}}{\alpha E'_{CM}})## So plugging this into my expression for P(E'), I get ##P(E') = \frac{1}{2 \pi} \frac{1}{1 - (\frac{E' - \gamma E'_{CM}}{\alpha E'_{CM}})^{2}}##
 

FAQ: Probability distribution of outgoing energy of particle

What is a probability distribution of outgoing energy of a particle?

A probability distribution of outgoing energy of a particle describes the likelihood of various energy levels that the particle can have after a certain interaction or decay process. It provides a statistical framework to predict the range of energies that particles can emit, which can be influenced by factors such as the type of interaction, the energy of the incoming particle, and conservation laws.

How is the probability distribution of outgoing energy determined experimentally?

Experimentally, the probability distribution of outgoing energy can be determined using detectors that measure the energy of emitted particles. By conducting a large number of interactions or decay events and recording the energies of the outgoing particles, researchers can create a histogram or a continuous distribution function that represents the probability of each energy level. Statistical analysis is then applied to derive the probability distribution from the collected data.

What role does conservation of energy play in the probability distribution?

Conservation of energy is a fundamental principle that dictates that the total energy before and after an interaction must remain constant. This means that the outgoing energy of a particle must be within a range that is consistent with the initial energy and the energies of other particles involved in the interaction. This principle helps to shape the probability distribution, as it restricts the possible energy levels that can be observed in the outgoing particles.

Can the probability distribution of outgoing energy be affected by the medium through which a particle travels?

Yes, the probability distribution of outgoing energy can be significantly affected by the medium through which a particle travels. Interactions with the medium, such as scattering, absorption, or energy loss mechanisms (like ionization), can alter the energy of the outgoing particles. This means that the probability distribution may vary depending on the properties of the medium, such as its density, composition, and temperature.

What are some common types of probability distributions used in particle physics?

In particle physics, several common types of probability distributions are used to describe outgoing energy, including the Gaussian distribution, exponential distribution, and the Landau distribution. Each of these distributions has specific characteristics and is suited for different physical scenarios, such as describing thermal emissions, decay processes, or scattering events. The choice of distribution often depends on the underlying physical processes and the energy scales involved.

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