def radius_cut(halo, idx):
try:
RVIR = pynbody.array.SimArray(np.max(halo['r'].in_units('kpc')),'kpc')
except Exception as e:
print("No RVIR. Trying AHF method.")
print(e)
try:
RVIR = halo_properties[idx].properties['Rvir']
except:
print("No RVIR.")
return halo
diskf = filt.Sphere(str(RVIR*0.2) +' kpc') #20% Virial Radius
return halo[diskf]
def sideon(h,
vec_to_xform=calc_sideon_matrix,
cen_size="1 kpc",
disk_size="5 kpc",
cen=None,
vcen=None,
move_all=True,
**kwargs):
global config
if move_all:
top = h.ancestor
else:
top = h
if cen is None:
logger.info("Finding halo center...")
# or h['pos'][h['phi'].argmin()]
cen = halo.center(h, retcen=True, **kwargs)
logger.info("... cen=%s" % cen)
tx = transformation.inverse_translate(top, cen)
if vcen is None:
vcen = halo.vel_center(h, retcen=True, cen_size=cen_size)
tx = transformation.inverse_v_translate(tx, vcen)
cen = h[filt.Sphere(disk_size)]
logger.info("Calculating angular momentum vector...")
trans = vec_to_xform(ang_mom_vec(cen))
logger.info("Transforming simulation...")
tx = transformation.transform(tx, trans)
logger.info("...done!")
return tx
def half_stellar_radius(halo):
half_sm = np.sum(halo.star['mass'].in_units('Msol'))* 0.5
max_high_r = np.max(halo.star['r'].in_units('kpc'))
#print(max_high_r)
test_r = 0.5 * max_high_r
testrf = filt.LowPass('r', test_r)
min_low_r = 0.0
test_sm = np.sum(halo[testrf].star['mass'].in_units('Msol'))
it = 0
while ((np.abs(test_sm - half_sm) / half_sm) > 0.01):
it = it + 1
if (it > 20):
break
if (test_sm > half_sm):
test_r = 0.5 * (min_low_r + test_r)
else:
test_r = (test_r + max_high_r) * 0.5
testrf = filt.LowPass('r', test_r)
test_sm = np.sum(halo[testrf].star['mass'].in_units('Msol'))
if (test_sm > half_sm):
max_high_r = test_r
else:
min_low_r = test_r
#print("Half stellar radius found as: {}".format(test_r))
diskf = filt.Sphere(str(test_r) +' kpc')
return halo[diskf]
# Clean sample: put a cut on 100 stellar particles and hallo mass max based on Moster
# Add more observations
# Stick with the clean sample 10^9 and make plots for isolated galaxies and whole population
# Select all galaxies that do not have any halo similar or larger within 3 virial - flag galaxies as isolated or non-isolated. There should be no other galaxy
# Salam isolated - still plot them as single plots
def write(s,filename='dumbfile.out'):
f = pynbody.util.open_(filename,'wb')
f.write(struct.pack(">i", len(s)))
s.tofile(f)
f.close()
simname = sys.argv[1]
#pp.plt.ion()
s = pynbody.load(simname)
h = s.halos()
diskf = filt.Disc('40 kpc','3 kpc')
fifmyrf = filt.LowPass('age','15 Myr')
fhmyrf = filt.LowPass('age','500 Myr')
twokpcf = filt.Sphere('2 kpc')
i=1
if (len(sys.argv) > 2):
photiords = np.genfromtxt(sys.argv[2],dtype='i8')
frac = np.float(len(np.where(np.in1d(photiords,h[i]['iord']))[0]))/len(photiords)
print 'i: %d frac: %.2f'%(i,frac)
while(((frac) < 0.5) & (i<100)):
i=i+1
frac = np.float(len(np.where(np.in1d(photiords,h[i]['iord']))[0]))/len(photiords)
print 'i: %d frac: %.2f'%(i,frac)
else:
while len(h[i].star) <2: i=i+1
if (i==100): sys.exit()
pynbody.analysis.angmom.faceon(h[i])
try: