def dfResultsTable(args):
cmdline = "%python dfResultsTable.py " + args
# Load g, k, and combined fits
options = setup_options(None)
options.sample = "g"
options.select = "all"
gfits = calcDFResults(options, [_GFIT])
options.sample = "k"
options.select = "program"
kfits = calcDFResults(options, [_KFIT])
options.sample = "gk"
gkfits = calcDFResults(options, [_GFIT, _KFIT])
# Set up sections
names = [
"$R_d\ (\mathrm{kpc})$",
"$z_h\ (\mathrm{pc})$",
"$V_{c,\mathrm{disk}}/V_c\,(R_0)$",
"$V_{c,\mathrm{disk}}/V_c\,(2.2\,R_d)$",
"$\\Sigma_{\mathrm{disk}}(R_0)\ (M_{\odot}\,\mathrm{pc}^{-2})$",
"$M_{\mathrm{disk}}\ (10^{10}\,M_{\odot})$",
"$\\alpha_{h}$",
"$\\rho_{\mathrm{DM}}\,(R_0,0)\ (M_{\odot}\,\mathrm{pc}^{-3})$",
"$V_c(R_0)\ (\mathrm{km\ s}^{-1})$",
"$\\frac{\mathrm{d}\ln V_c}{\mathrm{d}\ln R}\,(R_0)$",
"$\\rho_{\mathrm{total}}\,(R_0,0)\ (M_{\odot}\,\mathrm{pc}^{-3})$",
"$\\Sigma(R_0,|Z|\leq 0.8\,\mathrm{kpc})\ (M_{\odot}\,\mathrm{pc}^{-2})$",
"$\\Sigma(R_0,|Z|\leq 1.1\,\mathrm{kpc})\ (M_{\odot}\,\mathrm{pc}^{-2})$",
]
skip = [0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0] # 1 if line skip after this parameter
scale = [_REFR0, _REFR0 * 1000.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
key = [
"rdexp",
"zhexp",
"vcdvcro",
"vcdvc",
"surfzdisk",
"massdisk",
"plhalo",
"rhodm",
"vc",
"dlnvcdlnr",
"rhooalt",
"surfz800",
"surfz",
]
# Make table
outfile = open(args, "w")
for ii in range(len(names)):
# Set up line
printline = names[ii]
# G
printline += " & "
bestfit = gfits[key[ii] + "_m"] * scale[ii]
err = gfits[key[ii] + "_merr"] * scale[ii]
# Prepare
if math.log10(err) >= 0.0:
value = "$%.0f$" % bestfit
err = "$\pm$%.0f" % err
elif math.log10(err) >= -1.0:
value = "$%.1f$" % bestfit
err = "$\pm$%.1f" % err
elif math.log10(err) >= -2.0:
value = "$%.2f$" % bestfit
err = "$\pm$%.2f" % err
elif math.log10(err) >= -3.0:
value = "$%.3f$" % bestfit
err = "$\pm$%.3f" % err
else:
value = "$%.4f$" % bestfit
err = "$\pm$%.4f" % err
printline += value + "&" + err
# K
printline += " & "
bestfit = kfits[key[ii] + "_m"] * scale[ii]
err = kfits[key[ii] + "_merr"] * scale[ii]
# Prepare
if math.log10(err) >= 0.0:
value = "$%.0f$" % bestfit
err = "$\pm$%.0f" % err
elif math.log10(err) >= -1.0:
value = "$%.1f$" % bestfit
err = "$\pm$%.1f" % err
elif math.log10(err) >= -2.0:
value = "$%.2f$" % bestfit
err = "$\pm$%.2f" % err
elif math.log10(err) >= -3.0:
value = "$%.3f$" % bestfit
err = "$\pm$%.3f" % err
else:
value = "$%.4f$" % bestfit
err = "$\pm$%.4f" % err
printline += value + "&" + err
# combined
printline += " & "
bestfit = gkfits[key[ii] + "_m"] * scale[ii]
err = gkfits[key[ii] + "_merr"] * scale[ii]
# Prepare
if math.log10(err) >= 0.0:
value = "$%.0f$" % bestfit
err = "$\pm$%.0f" % err
elif math.log10(err) >= -1.0:
value = "$%.1f$" % bestfit
err = "$\pm$%.1f" % err
elif math.log10(err) >= -2.0:
value = "$%.2f$" % bestfit
err = "$\pm$%.2f" % err
elif math.log10(err) >= -3.0:
value = "$%.3f$" % bestfit
err = "$\pm$%.3f" % err
else:
value = "$%.4f$" % bestfit
err = "$\pm$%.4f" % err
printline += value + "&" + err
if not ii == (len(names) - 1):
printline += "\\\\"
if skip[ii]:
printline += "\\\\"
# Write the line
outfile.write(printline + "\n")
outfile.write("\\enddata\n")
outfile.write(cmdline + "\n")
outfile.close()
def plotDFResults1D(options,args):
#First load the results
#Load g and k fits
options.sample= 'g'
options.select= 'all'
gfits= calcDFResults(options,[_GFIT])
options.sample= 'k'
options.select= 'program'
kfits= calcDFResults(options,[_KFIT])
#Setup plane
tightbinned= pixelAfeFeh(None,dfeh=options.dfeh,dafe=options.dafe,
fehmin=-1.6,fehmax=0.5,afemin=-0.05,
afemax=0.55)
#Setup plotting
bovy_plot.bovy_print(fig_height=8.,fig_width=8.,
axes_labelsize=11,xtick_labelsize=7,
ytick_labelsize=7,
xtick_major_size=2,
xtick_minor_size=1,
ytick_major_size=2,
ytick_minor_size=1)
nullfmt = NullFormatter() # no labels
if options.subtype.lower() == 'regular':
npanels= 5
keys= ['rd','zh','dlnvcdlnr','plhalo','vc']
scale= [_REFR0,_REFR0*1000.,1.,1.,1.]
ranges=[[1.5,4.5],
[100.,800.],
[-0.3,0.1],
[0.,3.],
[180.,260.]]
labels=[r'$R_d^{\mathrm{MN}}\ [\mathrm{kpc}]$',
r'$z_h^{\mathrm{MN}}\ [\mathrm{pc}]$',
r'$\mathrm{d}\ln V_c / \mathrm{d}\ln R\, (R_0)$',
r'$\alpha\ \mathrm{in}\ \rho_{\mathrm{halo}} \propto 1/r^\alpha$',
r'$V_c\ [\mathrm{km\,s}^{-1}]$']
ticks= [[2.,3.,4.],
[100.,300.,500.,700.],
[-0.3,-0.1,0.1],
[0.,1.5,3.],
[180.,220.,260.]]
elif options.subtype.lower() == 'valueadded':
npanels= 4
keys= ['rdexp','zhexp','surfzdisk','rhodm']
scale= [_REFR0,_REFR0*1000.,1.,1.]
ranges=[[1.5,4.5],
[100.,800.],
[40.,80.],
[0.,0.02]]
ticks= [[2.,3.,4.],
[100.,300.,500.,700.],
[40.,60.,80.],
[0.,0.01,0.02]]
labels=[r'$R_d^{\mathrm{Exp}}\ [\mathrm{kpc}]$',
r'$z_h^{\mathrm{Exp}}\ [\mathrm{pc}]$',
r'$\Sigma_{\mathrm{disk}}(R_0)\ [M_{\odot}\,\mathrm{pc}^{-2}]$',
r'$\rho_{\mathrm{DM}}\,(R_0,0)\ [M_{\odot}\,\mathrm{pc}^{-3}]$']
nrows= 2
xrange=[-1.6,0.5]
yrange=[-0.05,0.55]
dx= 0.8/npanels
dy= dx#*(yrange[1]-yrange[0])/(xrange[1]-xrange[0])
allaxes= []
for jj in range(nrows):
for ii in range(npanels):
if jj == 0: thesefits= gfits
else: thesefits= kfits
#Gather results
plotthis= numpy.zeros((tightbinned.npixfeh(),tightbinned.npixafe()))
key= keys[ii]
for tt in range(tightbinned.npixfeh()):
for rr in range(tightbinned.npixafe()):
tfeh= tightbinned.feh(tt)
tafe= tightbinned.afe(rr)
if numpy.amin((thesefits['feh']-tfeh)**2./options.dfeh**2.+(thesefits['afe']-tafe)**2./options.dafe**2.) > 0.:
plotthis[tt,rr]= numpy.nan
continue
tindx= numpy.argmin((thesefits['feh']-tfeh)**2./options.dfeh**2.+(thesefits['afe']-tafe)**2./options.dafe**2.)
plotthis[tt,rr]= thesefits[key][tindx]
left, bottom, width, height= 0.1+ii*dx, 0.1+dy*(1-jj), dx, dy
ax= pyplot.axes([left,bottom,width,height])
allaxes.append(ax)
fig= pyplot.gcf()
fig.sca(ax)
out= bovy_plot.bovy_dens2d(plotthis.T*scale[ii],
origin='lower',cmap='jet',
interpolation='nearest',
xrange=xrange,yrange=yrange,
vmin=ranges[ii][0],vmax=ranges[ii][1],
contours=False,overplot=True,
colorbar=False,aspect='auto')
if jj == 1:
bovy_plot._add_axislabels(r'$[\mathrm{Fe/H}]$',None)
if ii == 0:
bovy_plot._add_axislabels(None,r'$[\alpha/\mathrm{Fe}]$')
if jj == 0:
ax.xaxis.set_major_formatter(nullfmt)
if ii > 0:
ax.yaxis.set_major_formatter(nullfmt)
if jj == 0:
#Add colorbar
left, bottom, width, height= 0.1+ii*dx, 0.1+2.*dy*(1-jj), dx, dy
ax= pyplot.axes([left,bottom,width,height],frameon=False)
ax.xaxis.set_major_formatter(nullfmt)
ax.yaxis.set_major_formatter(nullfmt)
ax.yaxis.set_tick_params(size=0)
ax.xaxis.set_tick_params(size=0)
allaxes.append(ax)
fig.sca(ax)
CB1= pyplot.colorbar(out,shrink=0.85,orientation='horizontal',
fraction=0.25,ticks=ticks[ii])
CB1.set_label(labels[ii],labelpad=-30)
bovy_plot.bovy_end_print(options.outfilename)
return None
