Computing a differential from plotted data

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Homework Help Overview

The discussion revolves around computing a differential cross section from numerical data related to particle physics, specifically focusing on the relationship between the differential cross section in terms of solid angle and transverse momentum.

Discussion Character

  • Exploratory, Conceptual clarification, Problem interpretation

Approaches and Questions Raised

  • Participants explore how to plot the differential cross section \(\frac{\operatorname{d} \sigma}{\operatorname{d} p_{T}}\) based on existing numerical data for \(\frac{\operatorname{d}\sigma}{\operatorname{d} \Omega}\) and the integrated cross section \(\sigma\). Questions arise regarding the appropriate method for binning data and determining the values that correspond to specific ranges of \(p_{T}\).

Discussion Status

Some participants provide interpretations of the physical meaning of the differential cross section and suggest plotting it against \(p_{T}\). There is an ongoing exploration of how to derive the necessary differential values from the integrated cross section, with no explicit consensus reached yet.

Contextual Notes

Participants mention the importance of adhering to forum guidelines regarding post formatting and express a willingness to refine their questions for clarity. There is also a note about the variability in data types affecting the specifics of the approach.

alex3
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I have a differential that depends only on \cos{\theta}

\frac{\operatorname{d}\sigma}{\operatorname{d} \Omega} = f(\cos{\theta})

I am numerically solving this differential equation for \sigma, which physically is a cross section, for 0 \leq \theta \leq \pi. The differential contains a parameter s. I am solving the differential for a given value of s, then incrementing this parameter and solving the differential again.

I am solving the differential over a range of s (3 to 200), in increments of 0.1 (s is, for the curious, my particle accelerator energy in GeV).

My problem is that I'm asked to now plot the transverse momentum

p_{T} = \lvert p_{f} \rvert \sin{\theta}

I've been told that I am effectively trying to plot

\frac{\operatorname{d} \sigma}{\operatorname{d} p_{T}}

and that I'll have to do some sort of histogram/binning to make my plot.

I'm not sure what I should binning; the differentials, the final integrated cross section?

So, in essence, my questions is how can I plot \frac{\operatorname{d} \sigma}{\operatorname{d} p_{T}} given that I have numerical data for \frac{\operatorname{d}\sigma}{\operatorname{d} \Omega} (and \sigma)?
 
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Normally posts which don't use the homework template tend to be at low priority, so keep that in mind for the future... but anyway: \mathrm{d}\sigma/\mathrm{d}p_T can be physically interpreted as the "amount" of cross section which falls into a certain (small) range of p_T, divided by the size of that range. When you are plotting this differential cross section, it makes sense to plot it versus p_T.
 
diazona said:
Normally posts which don't use the homework template tend to be at low priority, so keep that in mind for the future
Apologies, I had trouble fitting the question into the format. I shall try harder next time :)

\mathrm{d}\sigma/\mathrm{d}p_T can be physically interpreted as the "amount" of cross section which falls into a certain (small) range of p_T, divided by the size of that range. When you are plotting this differential cross section, it makes sense to plot it versus p_T.

Do you mean I should plot \operatorname{d}\sigma/\operatorname{d} p_T against p_T? I know I need to do that, my problem is trying to find the differential values. i.e. How could I figure out "the 'amount' of cross section which falls into a certain (small) range of p_T"?

Would I calculate a small range in p_T and then see what values of \sigma (the integrated cross section) have a value in this range?
 
alex3 said:
Do you mean I should plot \operatorname{d}\sigma/\operatorname{d} p_T against p_T? I know I need to do that, my problem is trying to find the differential values. i.e. How could I figure out "the 'amount' of cross section which falls into a certain (small) range of p_T"?

Would I calculate a small range in p_T and then see what values of \sigma (the integrated cross section) have a value in this range?
Yeah, that sounds about right. The details vary somewhat depending on exactly what kind of data you have, so it's kind of hard for me to be specific without actually seeing your numbers (or inventing an example); unfortunately I don't have time for that right now but if you will still be working on this in a couple days, perhaps I can get back to it).
 

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