Odds of Collision between Incident Object and Target Objects

  • Thread starter thepopasmurf
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In summary, the problem is calculating the odds of an incident object of radius r1 colliding with a collection of target objects of radius r2, with a number density of n objects per m^3, where the incident object travels a distance L and the target objects are stationary. The collision cross-section for a single target is given by σ = π(r1 + r2)^2 and the probability of collision for a single target is P1 = σ/A, where A is the total area of the domain. The probability of no collision for a single target is 1-P1. By considering Ln targets, the total probability of no collision is (1-P1)^(Ln). The mean free path, λ = 1/n
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thepopasmurf
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Homework Statement



The problem is what are the odds of an incident object of radius r1 colliding with any of a collection of target objects of radius r2, where the r2 objects have a number density N / m^3 = n and the incident object travels a distance L. Incident object is moving much faster than the other objects so they can be considered still.


Homework Equations



Collision cross-section for collision between incident object and a single target is:

σ = [itex]\pi[/itex] (r1 + r2)^2

Probability of collision for a single target object is
P1 = σ/A
were A is the total area of the domain in question.

Probability no collision for a single target object is 1-P1

Maybe relevant, the mean free path is
λ = 1 / nσ

The Attempt at a Solution



My thinking is, if probability of no collision for a single target is (1-p1), then if the incident object travels a distance L, the number of targets to consider is Ln. So the total probability for no collision is

(1-p1)^(Ln)

And probability of colliding with a single one of these is 1 minus this answer.

Is this correct?

I was also trying to use the mean free path but I wasn't sure how.

Thanks
 
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  • #2
Your exponent has units, that needs another factor. And then you need the limit for an infinite area.

The probability to have no collision before length L is an exponential distribution, where the mean free path gives the factor in the exponent. That is easier to set up.
 

Related to Odds of Collision between Incident Object and Target Objects

1. What are the odds of collision between an incident object and a target object?

The odds of collision between an incident object and a target object depend on a variety of factors, such as the size and speed of the objects, the distance between them, and any forces acting on them. These factors can be calculated using mathematical equations and simulations to determine the likelihood of collision.

2. How can the odds of collision be calculated?

The odds of collision can be calculated using mathematical equations, computer simulations, and data from previous collisions. Scientists and engineers use these methods to predict and prevent collisions in various scenarios, such as in space missions or on the road.

3. Are there any ways to decrease the odds of collision between objects?

Yes, there are various ways to decrease the odds of collision between objects. One way is to increase the distance between the objects, as this reduces the chance of them coming into contact with each other. Additionally, adjusting the trajectory or speed of one or both objects can also decrease the likelihood of collision.

4. Can the odds of collision change over time?

Yes, the odds of collision between objects can change over time. This can happen due to changes in the objects' speeds or trajectories, as well as external factors such as gravitational forces. It is important for scientists and engineers to constantly monitor and adjust for any changes in order to accurately predict and prevent collisions.

5. What are some real-life applications of calculating the odds of collision?

Calculating the odds of collision has many real-life applications, such as in space missions, air traffic control, and self-driving cars. By accurately predicting the likelihood of collision, scientists and engineers can develop strategies and technologies to prevent accidents and ensure the safety of people and objects in motion.

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