based on the algorithm proposed by Tiwary and Parrinello JPCB 2014
Typical usage:
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to project your metadynamics FES on CVs you did not bias during your metadynamics run
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to estimate the error on your FE profiles by comparing them with the FE profiles obtained integrating the metadynamics bias e.g. using plumed sum_hills
reweight.py -bsf 5.0 -kt 2.5 -fpref fes2d- -nf 80 -fcol 3 -colvar COLVAR -biascol 4 -rewcol 2 3
Takes as input 80 FES files: fes2d-0.dat, fes2d-1.dat, ... fes2d-79.dat obtained using a well-tempered metadynamics with bias factor 5 and containing the free energy in the 3rd column and the COLVAR file containing the bias in the 4th column and outputs the FES projected on the CVs in column 2 and 3 of COLVAR file.
Ludovico Sutto ([email protected]) - v1.0 - c. April 2015
Ladislav Hovan ([email protected]) - v2.0 - c. January 2019