zhuww/tempomcmc
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running MCMC using tempo python runmcmc.py --help Usage: runmcmc.py [options] Options: -h, --help show this help message and exit -f PARFILE, --parfile=PARFILE par file -t TOAFILE, --timfile=TOAFILE toa file -i STEPS, --iter=STEPS number of steps -m MIXING, --mixing=MIXING number of mixing steps -p PARAL, --parallel=PARAL number of parallel processes -s SEED, --seed=SEED random number seed -z STEPSIZE, --stepsize=STEPSIZE step size After the MCMC is done, use plotmc.py to plot the result for any two parameters. example: python plotmc.py PX PBDOT tempo.py: codes that deal with parsing parfile and toafile Coordinate.py: codes that deal with RA and Dec ProgressBar.py: codes that show a processe bar (from internet). Weiwei Zhu 2012-03-01
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Markov chain Monte Carlo using tempo
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