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pspitzner
/
mrestimator_triallength
DOI
10.12751/g-node.licm4y
1
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pSpitzner ab058dbb7e updated readme 4 anni fa
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README.md ab058dbb7e updated readme 4 anni fa

README.md

Mr. Estimator Triallength Dependence

This is a collection of scripts that produce Fig.~4 of the paper on Mr. Estimator.

Dependencies

conda install h5py numpy matplotlib tqdm
pip3 install -U 'mrestimator[full]'

Outline

  1. create a realization of a branching process of certain length, timescale and number of trials. This is done in run/triallength.py
  2. calculate the correlation coefficients. This is done in run/triallength.py.
    • Because the first two steps take significant time, we attach a copy of the data in ./dat/ that contains precalculated correlation coefficients.
    • The run/triallength.py script takes an integer argument (think thread or job id) because we ran this on the cluster. Every id creates it's own hdf5 output file.
    • Merge the individual files with run/merge_hdf5.py to obtain data files similar to the ones provided here.
  3. fit the exponentials. This is done with plt/plot_merged.py.

Note that the realizations for long trials (large targettau and targetlength in run/triallength.py) will take on the order of days computation and multiple gigabytes of ram. Adjust as needed.