def setup_and_run_cloudy_model(cmdargs, extras, monitor):
cloudy_cmd = ["time", cmdargs.cloudyexec]
# files are simply named after iteration number and density
filename = "it%.2in%.3ex0%.2f" % (monitor.it, extras.hden, extras.x0)
print "Calculating " + os.path.join(extras.datapath, filename)
m = Model(filename, dryrun=False, indir=extras.datapath, outdir=extras.datapath,
verbose=True, cloudy_cmd=cloudy_cmd)
m.write(physical.proplyd(cmdargs.r0, extras.hden, Rmax=cmdargs.Rmax,
W=cmdargs.W, x0=extras.x0,
composition=cmdargs.composition))
m.write(misc.optimize())
m.write(misc.stopping())
if cmdargs.fastcloudy:
m.write(misc.iterate(iterations=0))
else:
m.write(misc.iterate())
m.write(incident.background())
m.write(incident.star(extras.logPhiH, cmdargs.Tstar, atmosphere=cmdargs.atmosphere, log_g=4.1)) # th1C
m.write(save.default())
if cmdargs.savecont:
m.write("""\
save every last ionizing continuum 1.0 0 ".icont"
""")
# Option for small adjustments to Cloudy script via file "cloudy-extras.in" in the input dir
if cmdargs.read_extra_cloudy_commands_from_file:
file_with_extra_cloudy_commands = os.path.join(extras.datapath, "cloudy-extras.in")
try:
with open(file_with_extra_cloudy_commands) as f:
m.write(f.read())
except IOError:
warnings.warn("Failed to read extra commands from %s" % (file_with_extra_cloudy_commands))
m.run()
return m
cloudy_cmd = ["time", "/Users/will/Work/CLOUDY/SVN/trunk/source/cloudy.exe"]
if __name__ == '__main__':
if MULTIPROCESS:
pool = multiprocessing.Pool() # by default makes one process per core
for Tstar in Tstar_range:
for radiation in rad_list:
filename = "proplyd-test-%s%.2i-phi%.2f-n%.2e-A%.3i" % (radiation, Tstar/1000,
log_PhiH, hden_Rmax,
A)
print "Calculating " + filename
m = Model(filename, verbose=True, cloudy_cmd=cloudy_cmd)
m.write(physical.proplyd(r0, hden_Rmax, Rmax=Rmax, A=A, x0=x0))
m.write(misc.optimize())
m.write(misc.stopping())
m.write(misc.iterate())
m.write(incident.background())
m.write(incident.star(log_PhiH, Tstar, atmosphere=radiation, log_g=4.1)) # th1C
m.write(save.default())
# Do full calculation
if MULTIPROCESS:
pool.apply_async(m)
else:
m.run()
if MULTIPROCESS:
pool.close()
pool.join()