Velocity profile from 3d velocity space data

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Discussion Overview

The discussion revolves around the analysis of 3D velocity space data to derive a 2D velocity distribution profile. Participants explore methods for visualizing and quantifying the distribution of velocity components in Cartesian coordinates, focusing on the relationship between velocity and number density.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant, Jimbo, seeks to create a 2D plot of velocity versus number density from 3D velocity data, suggesting that the velocity distribution may follow a 1/r² pattern.
  • Jimbo proposes using shell binning in velocity space to calculate the density of velocity components as a function of radial distance.
  • In a follow-up post, Jimbo reports that shell binning successfully provided the desired number density profile against actual velocity.
  • Another participant, Mohamed, expresses interest in Jimbo's results and methodology, indicating a potential application to a more complex problem.

Areas of Agreement / Disagreement

There appears to be agreement on the effectiveness of shell binning for analyzing the velocity data, as Jimbo confirms its success. However, the discussion does not explore any competing methods or unresolved issues, as Jimbo's initial query is resolved.

Contextual Notes

The discussion does not delve into the specific mathematical details of the shell binning method or any assumptions underlying the velocity distribution model proposed by Jimbo.

Who May Find This Useful

Researchers or practitioners working with 3D velocity data analysis, particularly in fields related to physics, engineering, or data visualization, may find this discussion relevant.

jimbo_durham
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Hi. I have a load of data objcts, each with velocity components in the cartesian x,y,z directions. I would like to find a measure of the distribution of velocity (assuming it is averaged in all directions - a good assumption). Ie i would like to end up with some 2d plot with velocity along the 'x' axis, and number density, propability amplitude etc up the 'y' axis.

I have plotted the velocity data in 3d to show the distribution in x,y,z. it is attached. It appears that the velocity falls off in probability as 1/r^2 or similar. ie there are lots of objects with velocitys in the low 10s of kms-1, and fewer objects in the high 100s kms-1. I have the raw data and need find the form of the function.

Basically, from the plot in the figure, i need the density of dots(representing velocity componants) as a function of radius. How can i do this from the raw data? i think this might be a binning problem, where the bins are shells with equal volume in velocity space, and the number of 'dots' which fall into the shell gives the form of the function i am after.

any better ideas?

thanks in advance
jimbo
 

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  • velocity_profile_3d_dist.jpg
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solved. shell binning worked fine. alhough the volume of each shell was allowed to change, this was accounted for and the number density found as a function of radial distance from center, equating to a number density profile against actual velocity.

thanks to anyone who read this and was thinking of a solution for me
 
ps if anyone wants to see the results/method if they are doing anything similar, i can post them
 
jimbo_durham said:
ps if anyone wants to see the results/method if they are doing anything similar, i can post them

Dear Jimbo,
may be i have more complicated problem, but i believe your example would help me much, please send me the method and results to [email address deleted]

Best Regards,
Mohamed
 
Last edited by a moderator:

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