https://github.com/torlenor/findcluster

Cluster finding and percolation analysis on SU(3) gauge configurations based on local Polyakov loops (center clusters)
https://github.com/torlenor/findcluster

Last synced: 7 days ago
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Cluster finding and percolation analysis on SU(3) gauge configurations based on local Polyakov loops (center clusters)

• Host: GitHub
• URL: https://github.com/torlenor/findcluster
• Owner: torlenor
• License: gpl-2.0
• Created: 2015-09-02T07:44:12.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-09-02T07:53:04.000Z (over 9 years ago)
• Last Synced: 2024-11-12T11:39:18.376Z (2 months ago)
• Language: C++
• Size: 47.8 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README
  • License: LICENSE

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README

        
findcluster - (c) Hans-Peter Schadler 

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This little tool is used to define clusters on SU(3) gauge configurations

based on the local Polyakov loops

L(x) = \prod_t U_4(x,t) = \theta(x) \phi(x)

using the prescription:

We define a sector number n(x) with 

        -1 for \theta(x) \in [-Pi + \delta,-\pi/3 - \delta]

n(x) =   0 for \theta(x) \in [-Pi/3 + \delta,\pi/3 - \delta]

        +1 for \theta(x) \in [Pi/3 + \delta,-\pi - \delta]

where \delta = f pi/3 and f \in [0,1), the cut parameter.

A cluster is now build out of spatial neighbors with the same sector

number.

The program takes following command line parameters:

  -s, --Ns SSIZE             spatial lattice extent (default = 4)

  -t, --Nt TSIZE             temporal lattice extent (default = 4)

  -f, --fraction FRACTION    fraction (default = 0.0)

  -n, --nmeas NMEAS          number of configurations (default = 1)

  -d, --detail               write detailed output for every calculated 

                             configuration

  -b, --boxes                performs the box counting calculation 

                             (expensive)

  -a, --distance             performs the distance traveled calculation 

                             (expensive)

  -o, --olddata              read old Polyakov loop ev data instead of 

                             Wuppertal data

  -w, --writemeas            writes all measurements to file

  -F, --fastmode             Fast Mode: Calculates only radius of largest 

                             cluster

  --3d                       write 3dcluster data files

  -h  --help                 display this help and exit

  -v  --version              output version information and exit

And has the following status outputs to mark what is calculated at the moment:

  Status output:

   r ... reading Polyakov loop data

   c ... identifying center cluster

   p ... identifying percolating cluster

   s ... sorting center cluster

   o ... calculating observables

   b ... calculating box counting observables

The program calculates many observables interesting from percolation theory.

It writes it to *.res files in the end after performing a Jackknife step.

If you have any questions, please write . The program is 

distributed under the GPLv2. The following publications have been made 

using this code (or one of its predecessors):

arXiv:1310.8521 [hep-lat] http://arxiv.org/abs/1310.8521

arXiv:1401.7228 [hep-lat] http://arxiv.org/abs/1401.7228