In this folder we have 4 scripts:
	-force_rmd.awk, that is a bash script that calls awk and takes as input a single simulation folder and returns 3 values: F_eff, the residence time in ps, and the double logarithm of the residence time
	-1st_filtering.py, which reads all the CV timeseries files (in this case distance.dat) in all the simulations folder (here we suppose that they are in the folder runs/replicaXX, where XX is an incremental index), and returns the density peak clustering output, labeling the simulations in inertial and adiabatic.
	-2nd_filtering.py, which takes the list of data points from force_rmd.awk and selects the ones which are more dense in the F_eff/log(log(tau)) space.
	-bootstrap.py, which performs the linear fit using the 1st and 3rd column of a text file (the output of force_rmd.awk), performing a bootstrap to estimate the 95% CI
