def plotMergerFractions(query,
xlabel, ylabel,
output, out_folder,
mergetimelimit=0.25,
mstarmin=8.0,
mstarmax=11.5,
mbins=15,
ymin=-0.001,
ymax=1.01,
logscale=False):
"""
Plot merger fractions.
"""
#get data, all galaxies
data = sq.get_data_sqliteSMNfunctions(path, db, query)
#mstar = N.log10(data[:, 0])
mstar = data[:, 0]
tmerge = data[:, 1]
tmajor = data[:, 2]
print N.min(mstar), N.max(mstar)
#masks
nomergeMask = tmerge < 0.0
majorsMask = (tmajor > 0.0) & (tmajor <= mergetimelimit)
majorsMask2 = (tmajor > mergetimelimit) & (tmajor <= 0.5)
mergersMask = (tmerge > 0.0) & (tmerge <= mergetimelimit) &\
(majorsMask == False) & (majorsMask2 == False)
mergersMask2 = (tmerge > mergetimelimit) & (tmerge <= 0.5) &\
(majorsMask2 == False)
#bin the data
mids, numbs = dm.binAndReturnMergerFractions2(mstar,
nomergeMask,
mergersMask,
majorsMask,
mergersMask2,
majorsMask2,
mstarmin,
mstarmax,
mbins,
logscale)
#the fraction of mergers
noMergerFraction = [float(x[1]) / x[0] for x in numbs]
mergerFraction = [float(x[2]) / x[0] for x in numbs]
majorMergerFraction = [float(x[3]) / x[0] for x in numbs]
mergerFraction2 = [float(x[4]) / x[0] for x in numbs]
majorMergerFraction2 = [float(x[5]) / x[0] for x in numbs]
#sanity check
for a, b, c, d, e in zip(noMergerFraction, mergerFraction, majorMergerFraction,
mergerFraction2, majorMergerFraction2):
print a + b + c + d + e
#make the figure
if 'ps' in output:
fig = P.figure()
else:
fig = P.figure(figsize=(10, 10))
fig.subplots_adjust(left=0.08, bottom=0.07,
right=0.97, top=0.93)
ax1 = fig.add_subplot(111)
#draw lines ["-","--","-.",":"]
ax1.plot(mids, noMergerFraction, 'k-', lw=2.6,
label='Never Merged')
# ax1.plot(mids, mergerFraction, ls = '--', lw = 2.6,
# label = 'Minor Merger: $T \leq 250$ Myr')
# ax1.plot(mids, mergerFraction2, ls = '-.', lw = 2.6,
# label = 'Minor Merger: $250 < T \leq 500$ Myr')
# ax1.plot(mids, majorMergerFraction, ls = '--', lw = 2.6,
# label = 'Major Merger: $T \leq 250$ Myr')
# ax1.plot(mids, majorMergerFraction2, ls = '-.', lw = 2.6,
# label = 'Major Merger: $250 < T \leq 500$ Myr')
ax1.plot(mids, majorMergerFraction, ls='-', lw=2.6, c='0.3',
label='Young Major Merger')
ax1.plot(mids, mergerFraction, ls='-.', lw=2.6, c='0.2',
label='Young Minor Merger')
ax1.plot(mids, majorMergerFraction2, ls='--', lw=2.6, c='0.4',
label='Old Major Merger')
ax1.plot(mids, mergerFraction2, ls=':', lw=2.6, c='0.5',
label='Old Minor Merger')
#labels
ax1.set_xlabel(xlabel)
ax1.set_ylabel(ylabel)
#limits
ax1.set_ylim(ymin, ymax)
#add annotate
P.text(0.5, 0.93, 'All galaxies\n$2 \leq z < 4$',
horizontalalignment='center',
verticalalignment='center',
transform=ax1.transAxes)
#legend and save
P.legend(loc='upper left')
P.savefig(out_folder + output)
def plotMergerFractions3(query,
xlabel, ylabel,
output, out_folder,
mergetimelimit=0.4,
mstarmin=8.0,
mstarmax=11.5,
mbins=15,
ymin=0.0,
ymax=1.0,
logscale=False):
#get data, all galaxies
data = sq.get_data_sqliteSMNfunctions(path, db, query)
if logscale:
mstar = N.log10(data[:, 0])
logscale = False
else:
mstar = data[:, 0]
print N.min(mstar), N.max(mstar)
tmerge = data[:, 1]
tmajor = data[:, 2]
#masks
nomergeMask = tmerge < 0.0
majorsMask = (tmajor > 0.0) & (tmajor <= mergetimelimit)
majorsMask2 = (tmajor > mergetimelimit)
mergersMask = (tmerge > 0.0) & (tmerge <= mergetimelimit) &\
(majorsMask == False) & (majorsMask2 == False)
mergersMask2 = (nomergeMask == False) & (majorsMask == False) &\
(mergersMask == False) & (majorsMask2 == False)
#bin the data
mids, numbs = dm.binAndReturnMergerFractions2(mstar,
nomergeMask,
mergersMask,
majorsMask,
mergersMask2,
majorsMask2,
mstarmin,
mstarmax,
mbins,
logscale)
#the fraction of mergers
noMergerFraction = N.array([float(x[1]) / x[0] for x in numbs])
mergerFraction = N.array([float(x[2]) / x[0] for x in numbs])
majorMergerFraction = N.array([float(x[3]) / x[0] for x in numbs])
mergerFraction2 = N.array([float(x[4]) / x[0] for x in numbs])
majorMergerFraction2 = N.array([float(x[5]) / x[0] for x in numbs])
#sanity check
for a, b, c, d, e in zip(noMergerFraction, mergerFraction, majorMergerFraction,
mergerFraction2, majorMergerFraction2):
print a + b + c + d + e
#make the figure
# fig = P.figure()
fig = P.figure(figsize=(10, 10))
fig.subplots_adjust(left=0.08, bottom=0.1,
right=0.97, top=0.93)
ax1 = fig.add_subplot(111)
#calculate widths
wd = (mids[1] - mids[0]) * 1.0
#draw bars
ax1.bar(mids, noMergerFraction,
label='Never Merged', align='center',
color='0.5', width=wd)#, hatch = '/')
ax1.bar(mids, mergerFraction2, align='center',
bottom=noMergerFraction,
label='Minor Merger: $T > %.0f$ Myr' % (mergetimelimit * 1000.),
color='0.7', width=wd)#, hatch = '|')
ax1.bar(mids, majorMergerFraction2, align='center',
bottom=noMergerFraction + mergerFraction2,
label='Major Merger: $T > %.0f$ Myr' % (mergetimelimit * 1000.),
color='0.9', width=wd)#, hatch = '-')
ax1.bar(mids, majorMergerFraction, align='center',
bottom=noMergerFraction + mergerFraction2 + majorMergerFraction2,
label='Major Merger: $T \leq %.0f$ Myr' % (mergetimelimit * 1000.),
color='green', width=wd)#, hatch = '.')
ax1.bar(mids, mergerFraction,
bottom=noMergerFraction + mergerFraction2 + majorMergerFraction2 + majorMergerFraction,
align='center',
label='Minor Merger: $T \leq %.0f$ Myr' % (mergetimelimit * 1000.),
color='red', width=wd)#, hatch = 'x')
#labels
ax1.set_xlabel(xlabel)
ax1.set_ylabel(ylabel)
ax1.set_ylim(ymin, ymax)
ax1.set_xlim(mids[0] - wd / 2., mids[-1] + wd / 2.)
#add annotate
P.text(0.5, 1.05, 'All galaxies in $2 \leq z < 4$',
horizontalalignment='center',
verticalalignment='center',
transform=ax1.transAxes)
#legend and save
P.legend(loc='lower left')
P.savefig(out_folder + output)
def plotMergerFractions(query,
xlabel,
ylabel,
output,
out_folder,
mergetimelimit=0.25,
mstarmin=8.0,
mstarmax=11.5,
mbins=15,
ymin=-0.001,
ymax=1.01,
logscale=False):
"""
Plot merger fractions.
"""
#get data, all galaxies
data = sq.get_data_sqliteSMNfunctions(path, db, query)
#mstar = N.log10(data[:, 0])
mstar = data[:, 0]
tmerge = data[:, 1]
tmajor = data[:, 2]
print N.min(mstar), N.max(mstar)
#masks
nomergeMask = tmerge < 0.0
majorsMask = (tmajor > 0.0) & (tmajor <= mergetimelimit)
majorsMask2 = (tmajor > mergetimelimit) & (tmajor <= 0.5)
mergersMask = (tmerge > 0.0) & (tmerge <= mergetimelimit) &\
(majorsMask == False) & (majorsMask2 == False)
mergersMask2 = (tmerge > mergetimelimit) & (tmerge <= 0.5) &\
(majorsMask2 == False)
#bin the data
mids, numbs = dm.binAndReturnMergerFractions2(mstar, nomergeMask,
mergersMask, majorsMask,
mergersMask2, majorsMask2,
mstarmin, mstarmax, mbins,
logscale)
#the fraction of mergers
noMergerFraction = [float(x[1]) / x[0] for x in numbs]
mergerFraction = [float(x[2]) / x[0] for x in numbs]
majorMergerFraction = [float(x[3]) / x[0] for x in numbs]
mergerFraction2 = [float(x[4]) / x[0] for x in numbs]
majorMergerFraction2 = [float(x[5]) / x[0] for x in numbs]
#sanity check
for a, b, c, d, e in zip(noMergerFraction, mergerFraction,
majorMergerFraction, mergerFraction2,
majorMergerFraction2):
print a + b + c + d + e
#make the figure
if 'ps' in output:
fig = P.figure()
else:
fig = P.figure(figsize=(10, 10))
fig.subplots_adjust(left=0.08, bottom=0.07, right=0.97, top=0.93)
ax1 = fig.add_subplot(111)
#draw lines ["-","--","-.",":"]
ax1.plot(mids, noMergerFraction, 'k-', lw=2.6, label='Never Merged')
# ax1.plot(mids, mergerFraction, ls = '--', lw = 2.6,
# label = 'Minor Merger: $T \leq 250$ Myr')
# ax1.plot(mids, mergerFraction2, ls = '-.', lw = 2.6,
# label = 'Minor Merger: $250 < T \leq 500$ Myr')
# ax1.plot(mids, majorMergerFraction, ls = '--', lw = 2.6,
# label = 'Major Merger: $T \leq 250$ Myr')
# ax1.plot(mids, majorMergerFraction2, ls = '-.', lw = 2.6,
# label = 'Major Merger: $250 < T \leq 500$ Myr')
ax1.plot(mids,
majorMergerFraction,
ls='-',
lw=2.6,
c='0.3',
label='Young Major Merger')
ax1.plot(mids,
mergerFraction,
ls='-.',
lw=2.6,
c='0.2',
label='Young Minor Merger')
ax1.plot(mids,
majorMergerFraction2,
ls='--',
lw=2.6,
c='0.4',
label='Old Major Merger')
ax1.plot(mids,
mergerFraction2,
ls=':',
lw=2.6,
c='0.5',
label='Old Minor Merger')
#labels
ax1.set_xlabel(xlabel)
ax1.set_ylabel(ylabel)
#limits
ax1.set_ylim(ymin, ymax)
#add annotate
P.text(0.5,
0.93,
'All galaxies\n$2 \leq z < 4$',
horizontalalignment='center',
verticalalignment='center',
transform=ax1.transAxes)
#legend and save
P.legend(loc='upper left')
P.savefig(out_folder + output)
def plot_mergerfraction(path,
db,
reshifts,
out_folder,
outname,
xmin=-0.01,
xmax=2.3,
fluxlimit=5,
png=True,
mergetimelimit=0.25,
xbin=[10, 8, 9, 7, 7, 5],
neverMerged=False,
obs=True):
'''
Plots
'''
#figure
if png:
fig = P.figure(figsize=(10, 10))
type = '.png'
else:
fig = P.figure()
type = '.ps'
fig.subplots_adjust(left=0.09,
bottom=0.08,
right=0.93,
top=0.95,
wspace=0.0,
hspace=0.0)
ax1 = fig.add_subplot(221)
ax2 = fig.add_subplot(222)
ax3 = fig.add_subplot(223)
ax4 = fig.add_subplot(224)
#loop over all the redshifts
for i, reds in enumerate(redshifts):
if obs:
query = '''select FIR.pacs160_obs, galprop.tmerge, galprop.tmajmerge
from FIR, galprop where
%s and
FIR.pacs160_obs > 5e-4 and
FIR.pacs160_obs < 1e6 and
FIR.gal_id = galprop.gal_id and
FIR.halo_id = galprop.halo_id
''' % reds
else:
query = '''select FIR.pacs160, galprop.tmerge, galprop.tmajmerge
from FIR, galprop where
%s and
FIR.pacs160 > 8.8 and
FIR.pacs160 < 13.0 and
FIR.gal_id = galprop.gal_id and
FIR.halo_id = galprop.halo_id
''' % reds
#tmp
tmp = reds.split()
zz = N.mean(N.array([float(tmp[2]), float(tmp[6])]))
#get data
data = sq.get_data_sqliteSMNfunctions(path, db, query)
if obs:
x = N.log10(data[:, 0] * 1e3)
else:
x = data[:, 0]
tmerge = data[:, 1]
tmajor = data[:, 2]
print N.min(x), N.max(x)
#masks
nomergeMask = tmerge < 0.0
majorsMask = (tmajor > 0.0) & (tmajor <= mergetimelimit)
majorsMask2 = (tmajor > mergetimelimit)
mergersMask = (tmerge > 0.0) & (tmerge <= mergetimelimit) &\
(majorsMask == False) & (majorsMask2 == False)
mergersMask2 = (nomergeMask == False) & (majorsMask == False) &\
(mergersMask == False) & (majorsMask2 == False)
print xbin[i]
mids, numbs = dm.binAndReturnMergerFractions2(x, nomergeMask,
mergersMask, majorsMask,
mergersMask2,
majorsMask2, N.min(x),
N.max(x), xbin[i], False)
#the fraction of mergers
noMergerFraction = [float(x[1]) / x[0] for x in numbs]
mergerFraction = [float(x[2]) / x[0] for x in numbs]
majorMergerFraction = [float(x[3]) / x[0] for x in numbs]
mergerFraction2 = [float(x[4]) / x[0] for x in numbs]
majorMergerFraction2 = [float(x[5]) / x[0] for x in numbs]
#sanity check
for a, b, c, d, e in zip(noMergerFraction, mergerFraction,
majorMergerFraction, mergerFraction2,
majorMergerFraction2):
print a + b + c + d + e
#plots
ax1.plot(mids, majorMergerFraction, label='$z = %.1f$' % zz)
ax2.plot(mids, majorMergerFraction2, label='$z = %.1f$' % zz)
ax3.plot(mids, mergerFraction, label='$z = %.1f$' % zz)
if neverMerged:
ax4.plot(mids, noMergerFraction, label='$z = %.1f$' % zz)
else:
ax4.plot(mids, mergerFraction2, label='$z = %.1f$' % zz)
#set obs limit
if obs:
ax1.axvline(N.log10(fluxlimit), ls=':', color='green')
ax2.axvline(N.log10(fluxlimit), ls=':', color='green')
ax3.axvline(N.log10(fluxlimit), ls=':', color='green')
ax4.axvline(N.log10(fluxlimit), ls=':', color='green')
#labels
if obs:
ax3.set_xlabel('$\log_{10}(S_{160} \ [\mathrm{mJy}])$')
ax4.set_xlabel('$\log_{10}(S_{160} \ [\mathrm{mJy}])$')
else:
ax3.set_xlabel('$\log_{10}(L_{160} \ [L_{\odot}])$')
ax4.set_xlabel('$\log_{10}(L_{160} \ [L_{\odot}])$')
ax1.set_ylabel('$\mathrm{Merger\ Fraction}$')
ax3.set_ylabel('$\mathrm{Merger\ Fraction}$')
ax2.set_yticklabels([])
ax4.set_yticklabels([])
ax1.set_xticklabels([])
ax2.set_xticklabels([])
#texts
P.text(
0.5,
0.94,
'$\mathrm{Major\ mergers:}\ T_{\mathrm{merge}} \leq %i \ \mathrm{Myr}$'
% (mergetimelimit * 1000.),
horizontalalignment='center',
verticalalignment='center',
transform=ax1.transAxes)
P.text(
0.5,
0.94,
'$\mathrm{Major\ mergers:}\ T_{\mathrm{merge}} > %i \ \mathrm{Myr}$' %
(mergetimelimit * 1000.),
horizontalalignment='center',
verticalalignment='center',
transform=ax2.transAxes)
P.text(
0.5,
0.94,
'$\mathrm{Minor\ mergers:}\ T_{\mathrm{merge}} \leq %i \ \mathrm{Myr}$'
% (mergetimelimit * 1000.),
horizontalalignment='center',
verticalalignment='center',
transform=ax3.transAxes)
if neverMerged:
P.text(0.5,
0.94,
'$\mathrm{Never\ Merged}$',
horizontalalignment='center',
verticalalignment='center',
transform=ax4.transAxes)
else:
P.text(
0.5,
0.94,
'$\mathrm{Minor\ mergers:}\ T_{\mathrm{merge}} > %i \ \mathrm{Myr}$'
% (mergetimelimit * 1000.),
horizontalalignment='center',
verticalalignment='center',
transform=ax4.transAxes)
#set limits
ax1.set_xlim(xmin, xmax)
ax1.set_ylim(-0.01, 0.95)
ax2.set_xlim(xmin, xmax)
ax2.set_ylim(-0.01, 0.95)
ax3.set_xlim(xmin, xmax)
ax3.set_ylim(-0.01, 0.95)
ax4.set_xlim(xmin, xmax)
ax4.set_ylim(-0.01, 0.95)
#make legend and save the figure
ax3.legend(loc='center left')
P.savefig(out_folder + outname + type)
def plotMergerFractions3(query,
xlabel,
ylabel,
output,
out_folder,
mergetimelimit=0.4,
mstarmin=8.0,
mstarmax=11.5,
mbins=15,
ymin=0.0,
ymax=1.0,
logscale=False):
#get data, all galaxies
data = sq.get_data_sqliteSMNfunctions(path, db, query)
if logscale:
mstar = N.log10(data[:, 0])
logscale = False
else:
mstar = data[:, 0]
print N.min(mstar), N.max(mstar)
tmerge = data[:, 1]
tmajor = data[:, 2]
#masks
nomergeMask = tmerge < 0.0
majorsMask = (tmajor > 0.0) & (tmajor <= mergetimelimit)
majorsMask2 = (tmajor > mergetimelimit)
mergersMask = (tmerge > 0.0) & (tmerge <= mergetimelimit) &\
(majorsMask == False) & (majorsMask2 == False)
mergersMask2 = (nomergeMask == False) & (majorsMask == False) &\
(mergersMask == False) & (majorsMask2 == False)
#bin the data
mids, numbs = dm.binAndReturnMergerFractions2(mstar, nomergeMask,
mergersMask, majorsMask,
mergersMask2, majorsMask2,
mstarmin, mstarmax, mbins,
logscale)
#the fraction of mergers
noMergerFraction = N.array([float(x[1]) / x[0] for x in numbs])
mergerFraction = N.array([float(x[2]) / x[0] for x in numbs])
majorMergerFraction = N.array([float(x[3]) / x[0] for x in numbs])
mergerFraction2 = N.array([float(x[4]) / x[0] for x in numbs])
majorMergerFraction2 = N.array([float(x[5]) / x[0] for x in numbs])
#sanity check
for a, b, c, d, e in zip(noMergerFraction, mergerFraction,
majorMergerFraction, mergerFraction2,
majorMergerFraction2):
print a + b + c + d + e
#make the figure
# fig = P.figure()
fig = P.figure(figsize=(10, 10))
fig.subplots_adjust(left=0.08, bottom=0.1, right=0.97, top=0.93)
ax1 = fig.add_subplot(111)
#calculate widths
wd = (mids[1] - mids[0]) * 1.0
#draw bars
ax1.bar(mids,
noMergerFraction,
label='Never Merged',
align='center',
color='0.5',
width=wd) #, hatch = '/')
ax1.bar(mids,
mergerFraction2,
align='center',
bottom=noMergerFraction,
label='Minor Merger: $T > %.0f$ Myr' % (mergetimelimit * 1000.),
color='0.7',
width=wd) #, hatch = '|')
ax1.bar(mids,
majorMergerFraction2,
align='center',
bottom=noMergerFraction + mergerFraction2,
label='Major Merger: $T > %.0f$ Myr' % (mergetimelimit * 1000.),
color='0.9',
width=wd) #, hatch = '-')
ax1.bar(mids,
majorMergerFraction,
align='center',
bottom=noMergerFraction + mergerFraction2 + majorMergerFraction2,
label='Major Merger: $T \leq %.0f$ Myr' % (mergetimelimit * 1000.),
color='green',
width=wd) #, hatch = '.')
ax1.bar(mids,
mergerFraction,
bottom=noMergerFraction + mergerFraction2 + majorMergerFraction2 +
majorMergerFraction,
align='center',
label='Minor Merger: $T \leq %.0f$ Myr' % (mergetimelimit * 1000.),
color='red',
width=wd) #, hatch = 'x')
#labels
ax1.set_xlabel(xlabel)
ax1.set_ylabel(ylabel)
ax1.set_ylim(ymin, ymax)
ax1.set_xlim(mids[0] - wd / 2., mids[-1] + wd / 2.)
#add annotate
P.text(0.5,
1.05,
'All galaxies in $2 \leq z < 4$',
horizontalalignment='center',
verticalalignment='center',
transform=ax1.transAxes)
#legend and save
P.legend(loc='lower left')
P.savefig(out_folder + output)
