#dec = h[i].star['decomp']
sfh,sfhtimes = find_sfh(h[i],bins=100)
hrsfh,hrsfhtimes = find_sfh(h[i],bins=600)
sfr = np.sum(h[i].star[fifmyrf]['mass'].in_units('Msol')) / 1.5e7
# where did halo come from? SN or virial shocks
# look at all particles inside 2.5 r_vir
twopfivef = pynbody.filt.Sphere(2.5*rvir)
stfrvir = s[twopfivef]
halogas = stfrvir[notdiskf].g[notcooldenf]
mtfhalogas = np.sum(halogas['mass'].in_units('Msol'))
#iposcoolontime = halogas['coolontime'].in_units('yr')>0
igasords = np.in1d(halogas['iord'],stfrvir.s['igasorder'])
halooxhist, halooxbins = mdf(halogas,totmass=mtfhalogas)
#cohalooxhist, cohalooxbins = mdf(halogas[iposcoolontime],totmass=mtfhalogas)
alpha=pp.density_profile(h[i].dark,filename=simname+'.dmprof.png',center=False,
fit=True)
### Save important numbers using pickle. Currently not working for SimArrays
pickle.dump({'z':s.properties['z'],
'time':s.properties['time'].in_units('Gyr'),
'rvir':rvir,
'mvir':mvir,
'mgas': np.sum(h[i].gas['mass'].in_units('Msol')),
'mhi':mhi,
'mstar': np.sum(h[i].star['mass'].in_units('Msol')),
'sfr': sfr,
# 'mdisk': np.sum(h[i].star[np.where(dec == 1)]['mass'].in_units('Msol')),
# 'msphere': np.sum(h[i].star[np.where(dec == 2)]['mass'].in_units('Msol')),
# 'mbulge': np.sum(h[i].star[np.where(dec == 3)]['mass'].in_units('Msol')),
# 'mthick': np.sum(h[i].star[np.where(dec == 4)]['mass'].in_units('Msol')),
# 'mpseudob': np.sum(h[i].star[np.where(dec == 5)]['mass'].in_units('Msol')),
pass
try:
pp.sbprofile(h[i],filename=simname+'.sbprof.png',center=False)
pp.sfh(h[i],filename=simname+'.sfh.png',nbins=500,clear=True)
pp.rotation_curve(h[i],filename=simname+'.rc.png',quick=True,
max='40 kpc',center=False)
pp.rotation_curve(h[i],filename=simname+'.rcparts.png',quick=True,
parts=True, legend=True, max='40 kpc',center=False)
pp.rho_T(h[i].gas,filename=simname+'.phase.png',rho_units='m_p cm^-3',
x_range=[-5,2], y_range=[3,8])
pp.ofefeh(h[i].stars, filename=simname+'.ofefeh.png',
weights=h[i].stars['mass'].in_units('Msol'), scalemin=1e3,
scalemax=1e9, x_range=[-3,0.3],y_range=[-0.5,1.0])
pp.mdf(h[i].stars,filename=simname+'.mdf.png', range=[-4,0.5])
pp.density_profile(h[i].dark,filename=simname+'.dmprof.png',center=False)
plt.clf()
plt.loglog(gashaloprof['rbins'].in_units('kpc'),
gashaloprof['density'].in_units('m_p cm^-3'))
plt.xlabel('r [kpc]')
plt.ylabel(r'$\rho$ [m$_p$ cm$^{-3}$]')
plt.ylim(1e-4,1e3)
plt.xlim(0.5,500)
plt.savefig(simname+'.gasdenprof.png')
plt.clf()
plt.loglog(gashaloprof['rbins'].in_units('kpc'),
gashaloprof['temp'])
plt.ylim(1e5,1e8)
plt.xlim(0.5,500)
plt.xlabel('r [kpc]')
plt.ylabel('T [K]')
center=False)
pp.rho_T(h[i].gas,
filename=simname + '.phase.png',
rho_units='m_p cm^-3',
x_range=[-5, 2],
y_range=[3, 8])
pp.ofefeh(h[i].stars,
filename=simname + '.ofefeh.png',
weights=h[i].stars['mass'].in_units('Msol'),
scalemin=1e3,
scalemax=1e9,
x_range=[-3, 0.3],
y_range=[-0.5, 1.0])
pp.mdf(h[i].stars, filename=simname + '.mdf.png', range=[-4, 0.5])
pp.density_profile(h[i].dark,
filename=simname + '.dmprof.png',
center=False)
plt.clf()
plt.loglog(gashaloprof['rbins'].in_units('kpc'),
gashaloprof['density'].in_units('m_p cm^-3'))
plt.xlabel('r [kpc]')
plt.ylabel(r'$\rho$ [m$_p$ cm$^{-3}$]')
plt.ylim(1e-4, 1e3)
plt.xlim(0.5, 500)
plt.savefig(simname + '.gasdenprof.png')
plt.clf()
plt.loglog(gashaloprof['rbins'].in_units('kpc'), gashaloprof['temp'])
plt.ylim(1e5, 1e8)
plt.xlim(0.5, 500)
plt.xlabel('r [kpc]')
plt.ylabel('T [K]')
