#!/bin/bash

#title Plots from plain Frenkel

~/research/src_trunk/utils/quicktest.py -p frenkel_s0 -b surv_morseGrossman_frenkel -o frenkel_rmsd.data
~/research/src_trunk/utils/quicktest.py -p metrop_s0 -b surv_morseGrossman_metropolis -o metrop_rmsd.data
# this is run against r161 (although it has probably been a few revisions
# since quicktest.py was modified.)

#blog <p>These are new visualizations of the results from the <a
#blog href="http://researchblog.hyperblazer.net/20090518_215">Frenkel vs.
#blog Metropolis</a> runs from May 18.</p>

#blog <p>These new versions include RMSD instead of just standard
#blog deviations, as well as all sorts of pretty visualizations.</p>

#caption{converged_fig.png} This plot compares the converged results of the
#caption Frenkel and Metropolis methods.
gnuplot term_fig.gnuplot converged.gnuplot

#caption{mc_phase_space_00_fig.png} This plot shows the phase space covered
#caption by the two methods.
gnuplot term_fig.gnuplot mc_phase_space_00.gnuplot

#caption{rmsd_t050.png} RMSD at time 5
#caption{rmsd_t100.png} RMSD at time 10
#caption{rmsd_t150.png} RMSD at time 15
#caption{rmsd_t200.png} RMSD at time 20
#caption{rmsd_t250.png} RMSD at time 25
gnuplot term_fig.gnuplot rmsd_times.gnuplot

#caption{convergence.gif} Movie showing how the error bars and averages
#caption converge. This is just over the first 40k trajectories (it gets
#caption pretty boring, visually, after that).
gnuplot term_mov.gnuplot convergence.gnuplot

# note: all of the PNGs can also be made for the presentation by using
#       term_preso instead.

researchblog.py plotting.job