def infer_toycluster_ics(a):
# Fit the concentration parameter and baryon fraction
mle, cis = fit.total_gravitating_mass_freecbf(ObservedCluster(a.basedir,
"cygA",
verbose=True,
data=a.data),
do_cut=a.do_cut)
cygA = ObservedCluster(a.basedir,
"cygA",
cNFW=mle[0],
bf=mle[1],
RCUT_R200_RATIO=mle[2] if a.do_cut else None,
verbose=a.verbose,
data=a.data)
mle, cis = fit.total_gravitating_mass_freecbf(ObservedCluster(
a.basedir, "cygNW", verbose=False, data=a.data),
do_cut=a.do_cut)
cygNW = ObservedCluster(a.basedir,
"cygNW",
cNFW=mle[0],
bf=mle[1],
RCUT_R200_RATIO=mle[2] if a.do_cut else None,
verbose=a.verbose,
data=a.data)
write_ics(cygA, cygNW)
return cygA, cygNW
def check_twocluster_ics(a):
cygA = ObservedCluster(a.basedir,
"cygA",
cNFW=12.40,
bf=0.07653,
data=a.data)
cygNW = ObservedCluster(a.basedir,
"cygNW",
cNFW=5.17,
bf=0.05498,
data=a.data)
sim = Simulation(a.basedir, a.timestamp, name="both")
plot.twocluster_quiescent_parm(cygA, cygNW, sim, 0, parm="kT")
def test_cnfw(a):
for cNFW in range(1, 25, 2):
cygA = ObservedCluster(a.basedir,
"cygA",
cNFW=cNFW,
verbose=a.verbose,
data=a.data)
plot.inferred_nfw_profile(cygA)
plot.inferred_temperature(cygA)
def set_observed_cluster(a, data_only=False):
if a.data == "2Msec":
if a.clustername == "cygA":
if a.do_cut:
cNFW = 7.1801
bf = 0.0701
RCUT_R200_RATIO = 854.7 / 1830.6
else: # not sure how much I trust these results...
cNFW = 13.0000
bf = 0.2271
RCUT_R200_RATIO = None
if a.clustername == "cygNW":
if a.do_cut:
cNFW = 2.8680
bf = 0.0735
RCUT_R200_RATIO = 986.1 / 1606.6
else: # not sure how much I trust these results...
cNFW = 5.0780
bf = 0.1879
RCUT_R200_RATIO = None
else:
if a.clustername == "cygA":
if a.do_cut:
cNFW = 10.8084913766
bf = 0.0448823494125
RCUT_R200_RATIO = 0.749826451566
else:
cNFW = 12.1616022474
bf = 0.075207094556
RCUT_R200_RATIO = None
if a.clustername == "cygNW":
if a.do_cut:
cNFW = 3.69286089273
bf = 0.0357979867269
RCUT_R200_RATIO = 0.994860631699
else:
cNFW = 4.84194426883
bf = 0.0535343411893
RCUT_R200_RATIO = None
obs = ObservedCluster(a.basedir,
a.clustername,
cNFW=cNFW,
bf=bf,
RCUT_R200_RATIO=RCUT_R200_RATIO,
verbose=a.verbose,
data=a.data,
data_only=data_only)
return obs
def plot_smac_snapshots(a):
if a.clustername:
print "Running for single cluster", a.clustername
obs = ObservedCluster(a.basedir,
a.clustername,
verbose=a.verbose,
data=a.data)
sim = Simulation(a.basedir, a.timestamp, a.clustername)
for i in range(sim.nsnaps):
# sim.find_cluster_centroids_psmac_dmrho(i)
plot.simulated_quiescent_parm(obs, sim, i, parm="kT")
os.chdir(sim.outdir)
# os.system('ffmpeg -y -r 8 -i "xray_peakfind_%3d.png" -profile:v high444 -level 4.1 -c:v libx264 -preset slow -crf 25 -s "2000:2000" -an "xray-dmdensity.mp4"')
os.system(
'ffmpeg -y -r 8 -i "kT_cygA_%3d.png" -profile:v high444 -level 4.1 -c:v libx264 -preset slow -crf 25 -s "2000:2000" -an "kT_cygA.mp4"'
)
os.system(
'ffmpeg -y -r 8 -i "tspec_%3d.png" -profile:v high444 -level 4.1 -c:v libx264 -preset slow -crf 25 -s "2000:2000" -an "tspec.mp4"'
)
else:
sim = Simulation(a.basedir, a.timestamp)
def __init__(self, arguments, discard_firstbins=True):
self.timestamp = arguments.simulationID[0]
self.observed = ObservedCluster(
arguments.clustername) if arguments.clustername else None
if arguments.clustername and arguments.clustername == "cygA" and discard_firstbins:
print "WARNING: Discarding first three CygA bins.\n"
self.observed.radius = self.observed.radius[3:]
self.observed.binsize = self.observed.binsize[3:]
self.observed.density = self.observed.density[3:]
self.observed.density_std = self.observed.density_std[3:]
self.observed.number_density = self.observed.number_density[3:]
self.observed.number_density_std = self.observed.number_density_std[
3:]
if arguments.IC_only:
# TODO: there is something different in the Toycluster rho
# than in the Gadget output :(
self.IC_only = True
self.icdir = "../runs/{0}/ICs/".format(self.timestamp)
self.snapdir = "../runs/{0}/ICs/".format(self.timestamp)
self.snaps = ["../runs/{0}/ICs/IC_single_0".format(self.timestamp)]
else:
self.IC_only = False
self.icdir = "../runs/{0}/ICs/".format(self.timestamp)
self.snapdir = "../runs/{0}/snaps/".format(self.timestamp)
self.snaps = sorted(glob.glob(
"../runs/{0}/snaps/snapshot_*".format(self.timestamp)),
key=os.path.getmtime)
print self.snaps, "\n"
self.outdir = "../runs/{0}/out/".format(self.timestamp)
if not (os.path.isdir(self.outdir) or os.path.exists(self.outdir)):
os.mkdir(self.outdir)
if self.IC_only:
self.TimeBetSnapshot = 0
else:
# For time counter
gadgetparms = parse_gadget_parms(self.snapdir + "gadget2.par")
self.TimeBetSnapshot = gadgetparms['TimeBetSnapshot']
# in Toycluster... for now. Hence, fix_cygA
fix_cygA = False
fit = True
discard_firstbins = True
discard_lastbins = False
plot_fit = True
poster_style = False
mass_density = True
save = True
fit_toycluster = False
print "Reading Chandra Observed Density Profiles"
print 80 * "-"
cygA_observed = ObservedCluster("cygA", oldICs=False)
cygB_observed = ObservedCluster("cygB", oldICs=False)
print cygA_observed
print cygB_observed
print 80 * "-"
if fit:
print "Obtaining parameters from observed density profiles"
print 80 * "-"
# Due to pile up in inner region (?). Also inside kernel: cannot model
# in a stable way
if discard_firstbins:
cygA_observed.radius = cygA_observed.radius[3:]
cygA_observed.binsize = cygA_observed.binsize[3:]
cygA_observed.density = cygA_observed.density[3:]
cygA_observed.density_std = cygA_observed.density_std[3:]
arcsec2kpc = cygB.cc.kpc_DA
pyplot.errorbar(cygB.radius / arcsec2kpc + cygB.binsize / 2,
cygB.number_density,
xerr=cygB.binsize / 2,
yerr=cygB.number_density_std,
marker="o",
ms=5 if poster_style else 3,
elinewidth=3 if poster_style else 1,
ls="",
c=data_colour[2],
label="CygB")
pyplot.gca().set_xscale("log")
pyplot.gca().set_yscale("log")
pyplot.xlim(0.3, 2500)
pyplot.yticks([1e-1, 1e-2, 1e-3, 1e-4])
pyplot.ylabel(r"Number density [cm$^{-3}$]")
pyplot.xlabel(r"Radius [arcsec]")
pyplot.legend()
pyplot.savefig("out/raw_observed_clusters{0}.pdf"\
.format("_dark" if poster_style else ""), dpi=300)
pyplot.show()
if __name__ == "__main__":
cygA_observed_900ksec = ObservedCluster("cygA")
cygB_observed_900ksec = ObservedCluster("cygB")
plot_observation(cygA_observed_900ksec, cygB_observed_900ksec)
world.halo1_numerical.get_gas_mass_via_density(DESNNGB=50)
world.halo1_numerical.get_dm_mass_via_number_density()
world.halo1_numerical.set_dm_density()
mass0_filename = outdir + "{0}-mass-halo0-{1}.png".format(myRun, snapnr)
density0_filename = outdir + "{0}-density-hal0-{1}.png".format(
myRun, snapnr)
temperature0_filename = outdir + "{0}-temperature-halo0-{1}.png".format(
myRun, snapnr)
mass1_filename = outdir + "{0}-mass-halo1-{1}.png".format(myRun, snapnr)
density1_filename = outdir + "{0}-density-halo1-{1}.png".format(
myRun, snapnr)
temperature1_filename = outdir + "{0}-temperature-halo1-{1}.png".format(
myRun, snapnr)
observed_cygA = ObservedCluster("cygA")
plot_individual_cluster_density(world.halo0_numerical,
world.halo0_analytical, observed_cygA)
if arguments.save:
pyplot.savefig(density0_filename)
pyplot.close()
observed_cygB = ObservedCluster("cygB")
plot_individual_cluster_density(world.halo1_numerical,
world.halo1_analytical, observed_cygB)
if arguments.save:
pyplot.savefig(density1_filename)
pyplot.close()
plot_individual_cluster_mass(world.halo0_numerical, world.halo0_analytical)