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miao_profiler_2d_new.py
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miao_profiler_2d_new.py
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import matplotlib
matplotlib.rc('font', family='sans-serif', size=10)
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
matplotlib.rcParams['xtick.top'] = True
matplotlib.rcParams['ytick.right'] = True
matplotlib.rcParams['figure.figsize'] = 5,4
# Force matplotlib to not use any Xwindows backend.
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from scipy import interpolate
from matplotlib import cm as CM
import yt
from yt.units import *
from yt.utilities.physical_constants import *
import matplotlib.colors as colors
import os
#### If you would like analyze many data outputs
#### it will be much faster to do it in parallel
#from mpi4py import MPI
#comm = MPI.COMM_WORLD
#rank = comm.Get_rank()
#size = comm.Get_size()
rank=1
size=1
##############################################################
#### Begin Fielding+17 specific stuff to set the units ####
##############################################################
drummond = False
if drummond:
# read in and set up unit system
H0 = 70 * km /s / Mpc
mu = 0.62
muH = 1/0.7
Tcool =1e4
athinput = open('athinput', 'r')
for line in athinput:
if "Tigm" in line: Tigm = float(line.strip()[12:])
if "M15" in line: M15 = float(line.strip()[12:])
if "c_nfw" in line: c = float(line.strip()[11:])
if "z =" in line: zz = float(line.strip()[11:])
if "Tcool" in line: Tcool = float(line.strip()[11:])
if "num_domains" in line: nlevels = int(line.strip()[14:])
if "METALLICITY" in line: METALLICITY = float(line.strip()[14:])
athinput.close()
OL = 0.73
Om = 0.27
Tcool *= K
UnitLength = YTQuantity((G * M15 * 1e15 * Msun / H0**2)**(1./3.)).convert_to_units('kpc')
UnitTime = YTQuantity(1/H0).convert_to_units('yr')
UnitMass = YTQuantity(M15 * 1e15 * Msun).convert_to_units('Msun')
UnitTemp = 4.688*0.62*M15**(2./3.) *keV
kbTfloor = Tigm*UnitTemp
H = np.sqrt(OL + (1+zz)**3 * Om)
r200m = UnitLength * (H**2/( (1+zz)**3 * Om))**(1./3.)*(10*H)**(-2./3.)
# read in and set up cooling curves
H_He_Cooling = np.loadtxt('H_He_cooling.dat')
Tbins = np.loadtxt('Tbins.dat')
nHbins = np.loadtxt('nHbins.dat')
Metal_Cooling = np.loadtxt('Metal_cooling.dat')
Metal_Cooling = METALLICITY*Metal_Cooling
f_Metal_Cooling = interpolate.RegularGridInterpolator((np.log10(Tbins), np.log10(nHbins)),Metal_Cooling)
f_H_He_Cooling = interpolate.RegularGridInterpolator((np.log10(Tbins), np.log10(nHbins)), H_He_Cooling)
f_Cooling = interpolate.RegularGridInterpolator((np.log10(Tbins), np.log10(nHbins)),Metal_Cooling+H_He_Cooling, bounds_error=False, fill_value=1e-35)
vf_Cooling = np.vectorize(f_Cooling)
# make new yt fields for cooling
def _cooling_function(field,data):
logT = np.log10(data['temperature'].d)
lognH = np.log10(data['number_density_H'].d)
# LAMBDA = vf_Cooling(logT, lognH) * erg*cm**3/s
LAMBDA = f_Cooling((logT, lognH)) * erg*cm**3/s
return LAMBDA
yt.add_field(("gas", "cooling_function"), function=_cooling_function, units='erg*cm**3/s', display_name=r"$\Lambda$",force_override=True)
yt.add_field(("gas", "lambda_field"), function=_cooling_function, units='erg*cm**3/s', display_name=r"$\Lambda$",force_override=True)
def _tcool(field,data):
logT = np.log10(data['temperature'].d)
lognH = np.log10(data['number_density_H'].d)
# LAMBDA = vf_Cooling(logT, lognH) * erg*cm**3/s
LAMBDA = f_Cooling((logT, lognH)) * erg*cm**3/s
t_cool = 1.5*kb*data['temperature']*(muH/mu)**2/((data['density']/(mp*mu)) * LAMBDA)
t_cool[np.isinf(t_cool)] = 0.0
# t_cool[t_cool < 1e-6] = 1e6
return t_cool
yt.add_field(("gas","tcool"),function=_tcool,units="Gyr", display_name=r"$t_{\rm cool}$",force_override=True)
def _edot_cool(field,data):
logT = np.log10(data['temperature'].d)
lognH = np.log10(data['number_density_H'].d)
# LAMBDA = vf_Cooling(logT, lognH) * erg*cm**3/s
LAMBDA = f_Cooling((logT, lognH)) * erg*cm**3/s
edot_cool = data['number_density_H']**2 * LAMBDA * data['cell_volume']
return edot_cool
yt.add_field(("gas","edot_cool"),function=_edot_cool,units="erg/s", display_name=r"$\dot{E}_{\rm cool}$",force_override=True)
def tff(field,data):
g = G*UnitMass/np.square(data['radius']) * (np.log(1.+c*data['radius']/r200m) - c*data['radius']/r200m/(1.+c*data['radius']/r200m))/(np.log(1.+c) - c/(1.+c))
return np.sqrt(2*data['radius']/g)
yt.add_field(("gas", "tff"), function=tff, units='Gyr', display_name=r"$t_{\rm ff}$")
def tcool_tff(field,data):
return data['tcool']/data['tff']
yt.add_field(("gas","tcool_tff"),function=tcool_tff, display_name=r"$t_{\rm cool}/t_{\rm ff}$")
def _metallicity(field, data):
return data['specific_scalar[0]']*data['density']/(UnitMass/UnitLength**3)
yt.add_field(("gas","metallicity"), function=_metallicity, units="", display_name=r"$Z/Z_\odot$")
############################################################
#### End Fielding+17 specific stuff to set the units ####
############################################################
### Define additional fields for yt
def _my_radial_velocity(field, data):
xv = data["gas","velocity_x"]
yv = data["gas","velocity_y"]
zv = data["gas","velocity_z"]
center = data.get_field_parameter('center')
x_hat = data["x"] - center[0]
y_hat = data["y"] - center[1]
z_hat = data["z"] - center[2]
r = np.sqrt(x_hat*x_hat+y_hat*y_hat+z_hat*z_hat)
x_hat /= r
y_hat /= r
z_hat /= r
return xv*x_hat + yv*y_hat + zv*z_hat
yt.add_field(("gas","rv"),
function=_my_radial_velocity,
units="km/s",
take_log=False,
display_name=r"$v_{r}$")
def number_density(field,data):
return data['density']/(mu*mp)
yt.add_field(("gas","number_density"),function=number_density,units="cm**-3", display_name=r"$n$")
def number_density_H(field,data):
return data['density']/(muH*mp)
yt.add_field(("gas","number_density_H"),function=number_density_H,units="cm**-3", display_name=r"$n_H$")
def Pkb(field,data):
return data['pressure']/kb
yt.add_field(("gas","Pkb"),function=Pkb,units="K*cm**-3", display_name=r"$P/k_{\rm B}$")
def Ent(field,data):
return data['temperature']/((data['density']/(mu*mp))**(2/3.))
yt.add_field(("gas","Ent"),function=Ent,units="K*cm**2", display_name=r"$K$")
### set the units if you need to for your simulation
#units_override = {"length_unit":(UnitLength.value, UnitLength.units),
# "time_unit":(UnitTime.value, UnitTime.units),
# "mass_unit":(UnitMass.value, UnitMass.units)}
### get all of the data files for your simulation and set the units
#ts = yt.load("id0/galaxyhalo.*.vtk", units_override=units_override)
def get_fn(i):
a0=''
if (i<10):
a0='000'
if (10<=i<100):
a0='00'
if (100<=i<=999):
a0='0'
filen='DD'+a0+str(i)+'/sb_'+a0+str(i)
return filen
METALLICITY=10**-0.5
ii=400
os.system("mkdir profiles_2d")
fn=get_fn(ii)
fn="/simons/scratch/mli/CGM_180821_HSE_1e-6_Trunc0.002kpc_SN2halfSphere_lowz3kpc_SFR3/DD0"+str(ii)+"/sb_0"+str(ii)
print fn
ts = yt.load(fn)
print ("1")
#r200m = YTQuantity(340,'kpc')
H0 = 70 * km /s / Mpc
mu = 0.62
muH = 1/0.7
Tcool =1e4
M15= 1e-3
Tcool *= K
OL = 0.73
Om = 0.27
UnitLength = YTQuantity((G * M15 * 1e15 * Msun / H0**2)**(1./3.)).convert_to_units('kpc')
UnitTime = YTQuantity(1/H0).convert_to_units('yr')
UnitMass = YTQuantity(M15 * 1e15 * Msun).convert_to_units('Msun')
UnitTemp = 4.688*0.62*M15**(2./3.) *keV
#kbTfloor = Tigm*UnitTemp
zz =0.0
H = np.sqrt(OL + (1+zz)**3 * Om)
r200m = UnitLength * (H**2/( (1+zz)**3 * Om))**(1./3.)*(10*H)**(-2./3.)
i_file = rank
while i_file <=1: #len(ts):
### for some reason I have to do this anew each time, maybe this bug has been fixed but whatever
# units_override = {"length_unit":(UnitLength.value, UnitLength.units),
# "time_unit":(UnitTime.value, UnitTime.units),
# "mass_unit":(UnitMass.value, UnitMass.units)}
# ts = yt.load("id0/galaxyhalo.*.vtk", units_override=units_override)
### select your data file
# ds = ts[i_file]
ds = ts
print ("1")
### create a sphere centered on your galaxy
sphere = ds.sphere([0.,0.,0.], (2.00*r200m.value, "kpc"))
fields_total =["cell_volume","cell_mass"]
profile_pressure_entropy = yt.create_profile( data_source=sphere,
bin_fields=["radius", "Pkb", "Ent"],
fields=fields_total,
n_bins=(20,70,65),
units=dict(radius="kpc",Pkb="K*cm**-3",Ent="K*cm**2"),
logs=dict(radius=False,Pkb=True,Ent=True),
weight_field=None,
extrema=dict(radius=(0,2*r200m.value), Pkb=(1e-2,1e5), Ent=(1e4,10**10.5)))
profile_density_temperature = yt.create_profile( data_source=sphere,
bin_fields=["radius", "number_density", "temperature"],
fields=fields_total,
n_bins=(20,60,50),
units=dict(radius="kpc",number_density="cm**-3",temperature="K"),
logs=dict(radius=False,number_density=True,temperature=True),
weight_field=None,
extrema=dict(radius=(0,2*r200m.value), number_density=(1e-7,1e-1), temperature=(10**3,10**8)))
profile_pressure = yt.create_profile( data_source=sphere,
bin_fields=["radius", "Pkb"],
fields=fields_total,
n_bins=(200,70),
units=dict(radius="kpc",Pkb="K*cm**-3"),
logs=dict(radius=True,Pkb=True),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), Pkb=(1e-2,1e5)))
profile_entropy = yt.create_profile( data_source=sphere,
bin_fields=["radius", "Ent"],
fields=fields_total,
n_bins=(200,65),
units=dict(radius="kpc",Ent="K*cm**2"),
logs=dict(radius=True,Ent=True),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), Ent=(1e4,10**10.5)))
profile_temperature = yt.create_profile( data_source=sphere,
bin_fields=["radius", "temperature"],
fields=fields_total,
n_bins=(200,50),
units=dict(radius="kpc",temperature="K"),
logs=dict(radius=True,temperature=True),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), temperature=(10**3,10**8)))
profile_number_density = yt.create_profile( data_source=sphere,
bin_fields=["radius", "number_density"],
fields=fields_total,
n_bins=(200,60),
units=dict(radius="kpc",number_density="cm**-3"),
logs=dict(radius=True,number_density=True),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), number_density=(1e-7,1e-1)))
profile_radial_velocity = yt.create_profile( data_source=sphere,
bin_fields=["radius", "velocity_spherical_radius"],
fields=fields_total,
n_bins=(200,150),
units=dict(radius="kpc",velocity_spherical_radius="km/s"),
logs=dict(radius=True,velocity_spherical_radius=False),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), velocity_spherical_radius=(-500,1000)))
profile_azimuthal_velocity = yt.create_profile( data_source=sphere,
bin_fields=["radius", "velocity_spherical_phi"],
fields=fields_total,
n_bins=(200,100),
units=dict(radius="kpc",velocity_spherical_phi="km/s"),
logs=dict(radius=True,velocity_spherical_phi=False),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), velocity_spherical_phi=(-500,500)))
profile_polar_velocity = yt.create_profile( data_source=sphere,
bin_fields=["radius", "velocity_spherical_theta"],
fields=fields_total,
n_bins=(200,100),
units=dict(radius="kpc",velocity_spherical_theta="km/s"),
logs=dict(radius=True,velocity_spherical_theta=False),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), velocity_spherical_theta=(-500,500)))
profile_specific_angular_momentum_x = yt.create_profile( data_source=sphere,
bin_fields=["radius", "specific_angular_momentum_x"],
fields=fields_total,
n_bins=(200,100),
units=dict(radius="kpc",specific_angular_momentum_x="kpc*km/s"),
logs=dict(radius=True,specific_angular_momentum_x=False),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), specific_angular_momentum_x=(-2.5e5,2.5e5)))
profile_specific_angular_momentum_y = yt.create_profile( data_source=sphere,
bin_fields=["radius", "specific_angular_momentum_y"],
fields=fields_total,
n_bins=(200,100),
units=dict(radius="kpc",specific_angular_momentum_y="kpc*km/s"),
logs=dict(radius=True,specific_angular_momentum_y=False),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), specific_angular_momentum_y=(-2.5e5,2.5e5)))
profile_specific_angular_momentum_z = yt.create_profile( data_source=sphere,
bin_fields=["radius", "specific_angular_momentum_z"],
fields=fields_total,
n_bins=(200,100),
units=dict(radius="kpc",specific_angular_momentum_z="kpc*km/s"),
logs=dict(radius=True,specific_angular_momentum_z=False),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), specific_angular_momentum_z=(-2.5e5,2.5e5)))
if drummond :
profile_tcool = yt.create_profile( data_source=sphere,
bin_fields=["radius", "tcool"],
fields=fields_total,
n_bins=(200,60),
units=dict(radius="kpc",tcool="Gyr"),
logs=dict(radius=True,tcool=True),
weight_field=None,
extrema=dict(radius=(0.02*r200m.value,2.0*r200m.value), tcool=(1e-4,1e2)))
np.savez('profiles_2d/profiles_'+str(ii).zfill(4)+'.npz',
r200m = r200m.value,
halo_mass = UnitMass.value * M15,
redshift = zz,
metallicity = METALLICITY,
time = (ds.current_time/Gyr).value,
r_r200m_phase = (profile_pressure_entropy.x/r200m).value,
r_r200m_profile = (profile_pressure.x/r200m).value,
temperature_bins = (profile_temperature.y_bins).value,
pressure_bins = (profile_pressure.y_bins).value,
entropy_bins = (profile_entropy.y_bins).value,
number_density_bins = (profile_number_density.y_bins).value,
radial_velocity_bins = (profile_radial_velocity.y_bins).value,
azimuthal_velocity_bins = (profile_azimuthal_velocity.y_bins).value,
polar_velocity_bins = (profile_polar_velocity.y_bins).value,
specific_angular_momentum_x_bins = (profile_specific_angular_momentum_x.y_bins).value,
specific_angular_momentum_y_bins = (profile_specific_angular_momentum_y.y_bins).value,
specific_angular_momentum_z_bins = (profile_specific_angular_momentum_z.y_bins).value,
tcool_bins = (profile_tcool.y_bins).value,
pressure_entropy_Volume = (profile_pressure_entropy['cell_volume'].in_units('kpc**3').value).T,
pressure_entropy_Mass = (profile_pressure_entropy['cell_mass'].in_units('Msun').value).T ,
density_temperature_Volume = (profile_density_temperature ['cell_volume'].in_units('kpc**3').value).T,
density_temperature_Mass = (profile_density_temperature['cell_mass'].in_units('Msun').value).T ,
temperature_Volume = (profile_temperature['cell_volume'].in_units('kpc**3').value).T,
temperature_Mass = (profile_temperature['cell_mass'].in_units('Msun').value).T ,
number_density_Volume = (profile_number_density['cell_volume'].in_units('kpc**3').value).T,
number_density_Mass = (profile_number_density['cell_mass'].in_units('Msun').value).T ,
pressure_Volume = (profile_pressure['cell_volume'].in_units('kpc**3').value).T,
pressure_Mass = (profile_pressure['cell_mass'].in_units('Msun').value).T ,
entropy_Volume = (profile_entropy['cell_volume'].in_units('kpc**3').value).T,
entropy_Mass = (profile_entropy['cell_mass'].in_units('Msun').value).T ,
radial_velocity_Volume = (profile_radial_velocity['cell_volume'].in_units('kpc**3').value).T,
radial_velocity_Mass = (profile_radial_velocity['cell_mass'].in_units('Msun').value).T ,
azimuthal_velocity_Volume = (profile_azimuthal_velocity['cell_volume'].in_units('kpc**3').value).T,
azimuthal_velocity_Mass = (profile_azimuthal_velocity['cell_mass'].in_units('Msun').value).T ,
polar_velocity_Volume = (profile_polar_velocity['cell_volume'].in_units('kpc**3').value).T,
polar_velocity_Mass = (profile_polar_velocity['cell_mass'].in_units('Msun').value).T ,
specific_angular_momentum_x_Volume = (profile_specific_angular_momentum_x['cell_volume'].in_units('kpc**3').value).T,
specific_angular_momentum_x_Mass = (profile_specific_angular_momentum_x['cell_mass'].in_units('Msun').value).T ,
specific_angular_momentum_y_Volume = (profile_specific_angular_momentum_y['cell_volume'].in_units('kpc**3').value).T,
specific_angular_momentum_y_Mass = (profile_specific_angular_momentum_y['cell_mass'].in_units('Msun').value).T ,
specific_angular_momentum_z_Volume = (profile_specific_angular_momentum_z['cell_volume'].in_units('kpc**3').value).T,
specific_angular_momentum_z_Mass = (profile_specific_angular_momentum_z['cell_mass'].in_units('Msun').value).T ,
tcool_Volume = (profile_tcool['cell_volume'].in_units('kpc**3').value).T,
tcool_Mass = (profile_tcool['cell_mass'].in_units('Msun').value).T
)
else :
np.savez('profiles_2d/profiles_'+str(ii).zfill(4)+'.npz',
r200m = r200m.value,
halo_mass = UnitMass.value * M15,
redshift = zz,
metallicity = METALLICITY,
time = (ds.current_time/Gyr).value,
r_r200m_phase = (profile_pressure_entropy.x/r200m).value,
r_r200m_profile = (profile_pressure.x/r200m).value,
temperature_bins = (profile_temperature.y_bins).value,
pressure_bins = (profile_pressure.y_bins).value,
entropy_bins = (profile_entropy.y_bins).value,
number_density_bins = (profile_number_density.y_bins).value,
radial_velocity_bins = (profile_radial_velocity.y_bins).value,
azimuthal_velocity_bins = (profile_azimuthal_velocity.y_bins).value,
polar_velocity_bins = (profile_polar_velocity.y_bins).value,
specific_angular_momentum_x_bins = (profile_specific_angular_momentum_x.y_bins).value,
specific_angular_momentum_y_bins = (profile_specific_angular_momentum_y.y_bins).value,
specific_angular_momentum_z_bins = (profile_specific_angular_momentum_z.y_bins).value,
pressure_entropy_Volume = (profile_pressure_entropy['cell_volume'].in_units('kpc**3').value).T,
pressure_entropy_Mass = (profile_pressure_entropy['cell_mass'].in_units('Msun').value).T ,
density_temperature_Volume = (profile_density_temperature ['cell_volume'].in_units('kpc**3').value).T,
density_temperature_Mass = (profile_density_temperature['cell_mass'].in_units('Msun').value).T ,
temperature_Volume = (profile_temperature['cell_volume'].in_units('kpc**3').value).T,
temperature_Mass = (profile_temperature['cell_mass'].in_units('Msun').value).T ,
number_density_Volume = (profile_number_density['cell_volume'].in_units('kpc**3').value).T,
number_density_Mass = (profile_number_density['cell_mass'].in_units('Msun').value).T ,
pressure_Volume = (profile_pressure['cell_volume'].in_units('kpc**3').value).T,
pressure_Mass = (profile_pressure['cell_mass'].in_units('Msun').value).T ,
entropy_Volume = (profile_entropy['cell_volume'].in_units('kpc**3').value).T,
entropy_Mass = (profile_entropy['cell_mass'].in_units('Msun').value).T ,
radial_velocity_Volume = (profile_radial_velocity['cell_volume'].in_units('kpc**3').value).T,
radial_velocity_Mass = (profile_radial_velocity['cell_mass'].in_units('Msun').value).T ,
azimuthal_velocity_Volume = (profile_azimuthal_velocity['cell_volume'].in_units('kpc**3').value).T,
azimuthal_velocity_Mass = (profile_azimuthal_velocity['cell_mass'].in_units('Msun').value).T ,
polar_velocity_Volume = (profile_polar_velocity['cell_volume'].in_units('kpc**3').value).T,
polar_velocity_Mass = (profile_polar_velocity['cell_mass'].in_units('Msun').value).T ,
specific_angular_momentum_x_Volume = (profile_specific_angular_momentum_x['cell_volume'].in_units('kpc**3').value).T,
specific_angular_momentum_x_Mass = (profile_specific_angular_momentum_x['cell_mass'].in_units('Msun').value).T ,
specific_angular_momentum_y_Volume = (profile_specific_angular_momentum_y['cell_volume'].in_units('kpc**3').value).T,
specific_angular_momentum_y_Mass = (profile_specific_angular_momentum_y['cell_mass'].in_units('Msun').value).T ,
specific_angular_momentum_z_Volume = (profile_specific_angular_momentum_z['cell_volume'].in_units('kpc**3').value).T,
specific_angular_momentum_z_Mass = (profile_specific_angular_momentum_z['cell_mass'].in_units('Msun').value).T )
for ir in xrange(len(profile_density_temperature.x)):
plot=plt.pcolormesh(profile_density_temperature.y_bins, profile_density_temperature.z_bins,
(profile_density_temperature['cell_volume'].in_units('kpc**3').value).T[...,ir]/np.sum((profile_density_temperature['cell_volume'].in_units('kpc**3').value).T[...,ir]),
norm=colors.LogNorm(vmin=1e-6,vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'$\mathrm{Volume\,Fraction}$',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$T\,[\mathrm{K}]$')
plt.xlabel(r'$n\,[\mathrm{cm}^{-3}]$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr} \quad '+str(np.round(profile_density_temperature.x_bins[ir]/r200m,1))+r'\leq r/r_{\rm vir}\leq'+str(np.round(profile_density_temperature.x_bins[ir+1]/r200m,1))+r'$',fontsize=10)
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/number_density_temperature_Volume_r_'+str(ir).zfill(3)+'_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_density_temperature.y_bins, profile_density_temperature.z_bins,
profile_density_temperature['cell_mass'].in_units('Msun').T[...,ir]/np.sum(profile_density_temperature['cell_mass'].in_units('Msun').T[...,ir]),
norm=colors.LogNorm(vmin=1e-6,vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'$\mathrm{Mass\,Fraction}$',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$T\,[\mathrm{K}]$')
plt.xlabel(r'$n\,[\mathrm{cm}^{-3}]$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr} \quad '+str(np.round(profile_density_temperature.x_bins[ir]/r200m,1))+r'\leq r/r_{\rm vir}\leq'+str(np.round(profile_density_temperature.x_bins[ir+1]/r200m,1))+r'$',fontsize=10)
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/number_density_temperature_Mass_r_'+str(ir).zfill(3)+'_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
for ir in xrange(len(profile_pressure_entropy.x)):
plot=plt.pcolormesh(profile_pressure_entropy.y_bins, profile_pressure_entropy.z_bins,
(profile_pressure_entropy['cell_volume'].in_units('kpc**3').value).T[...,ir]/np.sum((profile_pressure_entropy['cell_volume'].in_units('kpc**3').value).T[...,ir]),
norm=colors.LogNorm(vmin=1e-6,vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'$\mathrm{Volume\,Fraction}$',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$K\,[\mathrm{K\,cm}^{2}]$')
plt.xlabel(r'$P\,[\mathrm{K\,cm}^{-3}]$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr} \quad '+str(np.round(profile_pressure_entropy.x_bins[ir]/r200m,1))+r'\leq r/r_{\rm vir}\leq'+str(np.round(profile_pressure_entropy.x_bins[ir+1]/r200m,1))+r'$',fontsize=10)
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/pressure_entropy_Volume_r_'+str(ir).zfill(3)+'_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_pressure_entropy.y_bins, profile_pressure_entropy.z_bins,
profile_pressure_entropy['cell_mass'].in_units('Msun').T[...,ir]/np.sum(profile_pressure_entropy['cell_mass'].in_units('Msun').T[...,ir]),
norm=colors.LogNorm(vmin=1e-6,vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'$\mathrm{Mass\,Fraction}$',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$K\,[\mathrm{K\,cm}^{2}]$')
plt.xlabel(r'$P\,[\mathrm{K\,cm}^{-3}]$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr} \quad '+str(np.round(profile_pressure_entropy.x_bins[ir]/r200m,1))+r'\leq r/r_{\rm vir}\leq'+str(np.round(profile_pressure_entropy.x_bins[ir+1]/r200m,1))+r'$',fontsize=10)
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/pressure_entropy_Mass_r_'+str(ir).zfill(3)+'_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_entropy.x_bins/r200m, profile_entropy.y_bins,
(profile_entropy['cell_volume'].T/(np.nansum(profile_entropy['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$K\,[\mathrm{K\,cm}^{2}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/entropy_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_entropy.x_bins/r200m, profile_entropy.y_bins,
(profile_entropy['cell_mass'].T/(np.nansum(profile_entropy['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6,vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$K\,[\mathrm{K\,cm}^{2}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/entropy_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_pressure.x_bins/r200m, profile_pressure.y_bins,
(profile_pressure['cell_volume'].T/(np.nansum(profile_pressure['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$P\,[\mathrm{K\,cm}^{-3}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/pressure_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_pressure.x_bins/r200m, profile_pressure.y_bins,
(profile_pressure['cell_mass'].T/(np.nansum(profile_pressure['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6,vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$P\,[\mathrm{K\,cm}^{-3}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/pressure_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_temperature.x_bins/r200m, profile_temperature.y_bins,
(profile_temperature['cell_volume'].T/(np.nansum(profile_temperature['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$T\,[\mathrm{K}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/temperature_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_temperature.x_bins/r200m, profile_temperature.y_bins,
(profile_temperature['cell_mass'].T/(np.nansum(profile_temperature['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$T\,[\mathrm{K}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/temperature_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_number_density.x_bins/r200m, profile_number_density.y_bins,
(profile_number_density['cell_volume'].T/(np.nansum(profile_number_density['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$n\,[\mathrm{cm}^{-3}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/number_density_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_number_density.x_bins/r200m, profile_number_density.y_bins,
(profile_number_density['cell_mass'].T/(np.nansum(profile_number_density['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$n\,[\mathrm{cm}^{-3}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/number_density_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_radial_velocity.x_bins/r200m, profile_radial_velocity.y_bins,
(profile_radial_velocity['cell_volume'].T/(np.nansum(profile_radial_velocity['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$v_r\,[\mathrm{km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/radial_velocity_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_radial_velocity.x_bins/r200m, profile_radial_velocity.y_bins,
(profile_radial_velocity['cell_mass'].T/(np.nansum(profile_radial_velocity['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$v_r\,[\mathrm{km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/radial_velocity_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_azimuthal_velocity.x_bins/r200m, profile_azimuthal_velocity.y_bins,
(profile_azimuthal_velocity['cell_volume'].T/(np.nansum(profile_azimuthal_velocity['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$v_\phi\,[\mathrm{km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/azimuthal_velocity_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_azimuthal_velocity.x_bins/r200m, profile_azimuthal_velocity.y_bins,
(profile_azimuthal_velocity['cell_mass'].T/(np.nansum(profile_azimuthal_velocity['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$v_\phi\,[\mathrm{km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/azimuthal_velocity_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_polar_velocity.x_bins/r200m, profile_polar_velocity.y_bins,
(profile_polar_velocity['cell_volume'].T/(np.nansum(profile_polar_velocity['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$v_\theta \,[\mathrm{km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/polar_velocity_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_polar_velocity.x_bins/r200m, profile_polar_velocity.y_bins,
(profile_polar_velocity['cell_mass'].T/(np.nansum(profile_polar_velocity['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$v_\theta \,[\mathrm{km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/polar_velocity_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_specific_angular_momentum_x.x_bins/r200m, profile_specific_angular_momentum_x.y_bins,
(profile_specific_angular_momentum_x['cell_volume'].T/(np.nansum(profile_specific_angular_momentum_x['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$j_x\,[\mathrm{kpc\,km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/specific_angular_momentum_x_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_specific_angular_momentum_x.x_bins/r200m, profile_specific_angular_momentum_x.y_bins,
(profile_specific_angular_momentum_x['cell_mass'].T/(np.nansum(profile_specific_angular_momentum_x['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$j_x\,[\mathrm{kpc\,km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/specific_angular_momentum_x_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_specific_angular_momentum_y.x_bins/r200m, profile_specific_angular_momentum_y.y_bins,
(profile_specific_angular_momentum_y['cell_volume'].T/(np.nansum(profile_specific_angular_momentum_y['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$j_y\,[\mathrm{kpc\,km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/specific_angular_momentum_y_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_specific_angular_momentum_y.x_bins/r200m, profile_specific_angular_momentum_y.y_bins,
(profile_specific_angular_momentum_y['cell_mass'].T/(np.nansum(profile_specific_angular_momentum_y['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$j_y\,[\mathrm{kpc\,km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/specific_angular_momentum_y_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_specific_angular_momentum_z.x_bins/r200m, profile_specific_angular_momentum_z.y_bins,
(profile_specific_angular_momentum_z['cell_volume'].T/(np.nansum(profile_specific_angular_momentum_z['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$j_z\,[\mathrm{kpc\,km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/specific_angular_momentum_z_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_specific_angular_momentum_z.x_bins/r200m, profile_specific_angular_momentum_z.y_bins,
(profile_specific_angular_momentum_z['cell_mass'].T/(np.nansum(profile_specific_angular_momentum_z['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
# plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$j_z\,[\mathrm{kpc\,km/s}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/specific_angular_momentum_z_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
if drummond:
plot=plt.pcolormesh(profile_tcool.x_bins/r200m, profile_tcool.y_bins,
(profile_tcool['cell_volume'].T/(np.nansum(profile_tcool['cell_volume'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='plasma')
cb = plt.colorbar(plot)
cb.set_label(r'Volume Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$t_{\rm cool}\,[\mathrm{Gyr}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/tcool_Volume_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
plot=plt.pcolormesh(profile_tcool.x_bins/r200m, profile_tcool.y_bins,
(profile_tcool['cell_mass'].T/(np.nansum(profile_tcool['cell_mass'],axis=1).d +1)),
norm=colors.LogNorm(vmin=1e-6, vmax=1), cmap='viridis')
cb = plt.colorbar(plot)
cb.set_label(r'Mass Fraction',rotation=270,fontsize=12,labelpad=15)
plt.yscale('log')
plt.xscale('log')
plt.ylabel(r'$t_{\rm cool}\,[\mathrm{Gyr}]$')
plt.xlabel(r'$r/r_{\rm vir}$')
plt.title(r'$t='+str(np.round(ds.current_time/Gyr,2))+r'\,\mathrm{Gyr}$')
plt.grid(color='grey',linestyle=':', alpha=0.5, linewidth=1.0)
plt.savefig('profiles_2d/tcool_Mass_'+str(ii).zfill(4)+'.png',bbox_inches='tight',dpi=200)
plt.clf()
i_file += size