def plotMergerFractions3(query,
xlabel,
ylabel,
output,
out_folder,
mergetimelimit=0.25,
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)
tmp = data[:, 1]
mstar = data[:, 0]
mstar = N.log10(mstar / 10**tmp)
print N.min(mstar), N.max(mstar)
tmerge = data[:, 2]
tmajor = data[:, 3]
#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=0.07, 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='grey',
width=wd,
hatch='.')
ax1.bar(mids,
mergerFraction,
bottom=noMergerFraction,
align='center',
label='Minor Merger: $T \leq %.0f$ Myr' % (mergetimelimit * 1000.),
color='red',
width=wd,
hatch='/')
ax1.bar(mids,
mergerFraction2,
align='center',
bottom=noMergerFraction + mergerFraction,
label='Minor Merger: $T > %.0f$ Myr' % (mergetimelimit * 1000.),
color='blue',
width=wd,
hatch='|')
ax1.bar(mids,
majorMergerFraction,
align='center',
bottom=noMergerFraction + mergerFraction + mergerFraction2,
label='Major Merger: $T \leq %.0f$ Myr' % (mergetimelimit * 1000.),
color='magenta',
width=wd,
hatch='x')
ax1.bar(mids,
majorMergerFraction2,
align='center',
bottom=noMergerFraction + mergerFraction + mergerFraction2 +
majorMergerFraction,
label='Major Merger: $T > %.0f$ Myr' % (mergetimelimit * 1000.),
color='green',
width=wd,
hatch='-')
#labels
ax1.set_xlabel(xlabel)
ax1.set_ylabel(ylabel)
#limits
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='upper center')
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=-0.01,
ymax=1.01,
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=0.07,
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: $T > 250$ 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: $T > 250$ Myr')
#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)
#make grid
ax1.grid()
#legend and save
P.legend(loc='upper right')
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=-0.01,
ymax=1.01,
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=0.07, 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: $T > 250$ 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: $T > 250$ Myr')
#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)
#make grid
ax1.grid()
#legend and save
P.legend(loc='upper right')
P.savefig(out_folder + output)
def plotMergerFractions3(query,
xlabel, ylabel,
output, out_folder,
mergetimelimit=0.25,
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)
tmp = data[:, 1]
mstar = data[:, 0]
mstar = N.log10(mstar / 10 ** tmp)
print N.min(mstar), N.max(mstar)
tmerge = data[:, 2]
tmajor = data[:, 3]
#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=0.07,
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='grey', width=wd, hatch='.')
ax1.bar(mids, mergerFraction,
bottom=noMergerFraction, align='center',
label='Minor Merger: $T \leq %.0f$ Myr' % (mergetimelimit * 1000.),
color='red', width=wd, hatch='/')
ax1.bar(mids, mergerFraction2, align='center',
bottom=noMergerFraction + mergerFraction,
label='Minor Merger: $T > %.0f$ Myr' % (mergetimelimit * 1000.),
color='blue', width=wd, hatch='|')
ax1.bar(mids, majorMergerFraction, align='center',
bottom=noMergerFraction + mergerFraction + mergerFraction2,
label='Major Merger: $T \leq %.0f$ Myr' % (mergetimelimit * 1000.),
color='magenta', width=wd, hatch='x')
ax1.bar(mids, majorMergerFraction2, align='center',
bottom=noMergerFraction + mergerFraction + mergerFraction2 + majorMergerFraction,
label='Major Merger: $T > %.0f$ Myr' % (mergetimelimit * 1000.),
color='green', width=wd, hatch='-')
#labels
ax1.set_xlabel(xlabel)
ax1.set_ylabel(ylabel)
#limits
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='upper center')
P.savefig(out_folder + output)
