Parallalization Friends Of Friends based on observation data.
Project description
Welcome to using Parallelizing Friends Of Friends.
I'm an undergraduate at the Exo-galaxy Lab in Chungnam National University. If you have any questions or feedback about PFOF code, Place contact us at the email address below. I want your opinions and thoughts about the code. Please feel free to contact me! <Email : 98ehddbs@naver.com>
Required Packages
- necessary library
- Numpy
- Pydl
- Ray (Multiprocessing Package)
- astropy
- Pandas
- tqdm (processing bar)
- time (Total time check)
- sys (set recursionlimit)
Version 1.0.4 2023.06.27 Version of packages used. (Please check these versions)
**python 3.9.18 numpy 1.24.0 astropy 5.1.1 pandas 2.1.4 pydl 0.7.0 **ray 2.2.0 -> very sensitive to version
You must check the versions of these libraries ! If CNUFOF doesn't run, you need to change some version.
*** Based on observing data Parallelizing Friends of Friends algorithm ***
ra (0360[degree]), dec (-9090[degree]), redshift (>=10^(-3))
Note)
-
Set linking length [Physical Distance [kpc] | velocity [km/s]] , nmin(minimum number of particles(galaxies))
-
The group name you run as whole at once may be different from the group you run in parallel. But, The particles found for each group will be the same
-
When setting the variables, you should follow the example.
More detail usage methods are explained in "example" and "Explanations file for each code" file
Thank you.
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