def test_galcenrect_to_XYZ():
gcX, gcY, gcZ= -1.,4.,2.
XYZ= bovy_coords.galcenrect_to_XYZ(gcX,gcY,gcZ,Xsun=1.,Ysun=0.,Zsun=0.)
assert numpy.fabs(XYZ[0]-2.) < 10.**-10., 'galcenrect_to_XYZ conversion did not work as expected'
assert numpy.fabs(XYZ[1]-4.) < 10.**-10., 'galcenrect_to_XYZ conversion did not work as expected'
assert numpy.fabs(XYZ[2]-2.) < 10.**-10., 'galcenrect_to_XYZ conversion did not work as expected'
return None
def process_mock_densdata(options):
print("Using mock Pal 5 data from %s" % options.mockfilename)
# Read and prep data for mocks
xvid= numpy.loadtxt(options.mockfilename)
xv= xvid[:,:6]
xv= xv[numpy.argsort(xvid[:,6])]
XYZ= bovy_coords.galcenrect_to_XYZ(xv[:,0],xv[:,1],xv[:,2],
Xsun=R0,Zsun=0.025)
lbd= bovy_coords.XYZ_to_lbd(XYZ[0],XYZ[1],XYZ[2],degree=True)
radec= bovy_coords.lb_to_radec(lbd[:,0],lbd[:,1],degree=True)
xieta= pal5_util.radec_to_pal5xieta(radec[:,0],radec[:,1],degree=True)
# make sure the progenitor is at (0,0)
xieta[:,0]-= numpy.median(xieta[:,0])
xieta[:,1]-= numpy.median(xieta[:,1])
h,e= numpy.histogram(xieta[:,0],range=[0.2,14.3],bins=141)
xdata= numpy.arange(0.25,14.35,0.1)
# Compute power spectrum
tdata= h-0.
pp= Polynomial.fit(xdata,tdata,deg=options.polydeg,w=1./numpy.sqrt(h+1.))
tdata/= pp(xdata)
ll= xdata
py= signal.csd(tdata,tdata,fs=1./(ll[1]-ll[0]),scaling='spectrum',
nperseg=len(ll))[1]
py= py.real
# Also compute the bispectrum
Bspec, Bpx= bispectrum.bispectrum(numpy.vstack((tdata,tdata)).T,
nfft=len(tdata),wind=7,nsamp=1,overlap=0)
ppyr= numpy.fabs(Bspec[len(Bspec)//2+_BISPECIND,len(Bspec)//2:].real)
ppyi= numpy.fabs(Bspec[len(Bspec)//2+_BISPECIND,len(Bspec)//2:].imag)
return (numpy.sqrt(py*(ll[-1]-ll[0])),numpy.sqrt(h+1.)/pp(xdata),
ppyr,ppyi)
def process_mock_densdata(options):
print ("Using mock Pal 5 data from %s" % options.mockfilename)
# Read and prep data for mocks
xvid = numpy.loadtxt(options.mockfilename)
xv = xvid[:, :6]
xv = xv[numpy.argsort(xvid[:, 6])]
XYZ = bovy_coords.galcenrect_to_XYZ(xv[:, 0], xv[:, 1], xv[:, 2], Xsun=R0, Zsun=0.025)
lbd = bovy_coords.XYZ_to_lbd(XYZ[0], XYZ[1], XYZ[2], degree=True)
radec = bovy_coords.lb_to_radec(lbd[:, 0], lbd[:, 1], degree=True)
xieta = pal5_util.radec_to_pal5xieta(radec[:, 0], radec[:, 1], degree=True)
# make sure the progenitor is at (0,0)
xieta[:, 0] -= numpy.median(xieta[:, 0])
xieta[:, 1] -= numpy.median(xieta[:, 1])
h, e = numpy.histogram(xieta[:, 0], range=[0.2, 14.3], bins=141)
xdata = numpy.arange(0.25, 14.35, 0.1)
# Compute power spectrum
tdata = h - 0.0
pp = Polynomial.fit(xdata, tdata, deg=options.polydeg, w=1.0 / numpy.sqrt(h + 1.0))
tdata /= pp(xdata)
ll = xdata
py = signal.csd(tdata, tdata, fs=1.0 / (ll[1] - ll[0]), scaling="spectrum", nperseg=len(ll))[1]
py = py.real
# Also compute the bispectrum
Bspec, Bpx = bispectrum.bispectrum(numpy.vstack((tdata, tdata)).T, nfft=len(tdata), wind=7, nsamp=1, overlap=0)
ppyr = numpy.fabs(Bspec[len(Bspec) // 2 + _BISPECIND, len(Bspec) // 2 :].real)
ppyi = numpy.fabs(Bspec[len(Bspec) // 2 + _BISPECIND, len(Bspec) // 2 :].imag)
return (numpy.sqrt(py * (ll[-1] - ll[0])), numpy.sqrt(h + 1.0) / pp(xdata), ppyr, ppyi)
def sky_coords(cluster):
"""Get the sky coordinates of every star in the cluster
Parameters
----------
cluster : class
StarCluster
Returns
-------
ra,dec,d0,pmra,pmdec,vr0 : float
on-sky positions and velocities of cluster stars
History
-------
2018 - Written - Webb (UofT)
"""
origin0 = cluster.origin
if origin0 != "galaxy":
cluster.to_galaxy()
x0, y0, z0 = bovy_coords.galcenrect_to_XYZ(cluster.x,
cluster.y,
cluster.z,
Xsun=8.0,
Zsun=0.025).T
vx0, vy0, vz0 = bovy_coords.galcenrect_to_vxvyvz(
cluster.vx,
cluster.vy,
cluster.vz,
Xsun=8.0,
Zsun=0.025,
vsun=[-11.1, 244.0, 7.25],
).T
l0, b0, d0 = bovy_coords.XYZ_to_lbd(x0, y0, z0, degree=True).T
ra, dec = bovy_coords.lb_to_radec(l0, b0, degree=True).T
vr0, pmll0, pmbb0 = bovy_coords.vxvyvz_to_vrpmllpmbb(vx0,
vy0,
vz0,
l0,
b0,
d0,
degree=True).T
pmra, pmdec = bovy_coords.pmllpmbb_to_pmrapmdec(pmll0,
pmbb0,
l0,
b0,
degree=True).T
if origin0 == "centre":
cluster.to_centre()
elif origin0 == "cluster":
cluster.to_cluster()
return ra, dec, d0, pmra, pmdec, vr0
def plot_pdfs_l(plotfilename):
lp= potential.LogarithmicHaloPotential(q=0.9,normalize=1.)
aAI= actionAngleIsochroneApprox(b=0.8,pot=lp)
obs= numpy.array([1.56148083,0.35081535,-1.15481504,
0.88719443,-0.47713334,0.12019596])
sdf= streamdf(_SIGV/220.,progenitor=Orbit(obs),pot=lp,aA=aAI,
leading=True,nTrackChunks=_NTRACKCHUNKS,
vsun=[0.,30.24*8.,0.],
tdisrupt=4.5/bovy_conversion.time_in_Gyr(220.,8.),
multi=_NTRACKCHUNKS)
sdft= streamdf(_SIGV/220.,progenitor=Orbit(obs),pot=lp,aA=aAI,
leading=False,nTrackChunks=_NTRACKCHUNKS,
vsun=[0.,30.24*8.,0.],
tdisrupt=4.5/bovy_conversion.time_in_Gyr(220.,8.),
multi=_NTRACKCHUNKS)
#Calculate the density as a function of l, p(l)
#Sample from sdf
llbd= sdf.sample(n=40000,lb=True)
tlbd= sdft.sample(n=50000,lb=True)
b,e= numpy.histogram(llbd[0],bins=101,normed=True)
t= ((numpy.roll(e,1)-e)/2.+e)[1:]
lspl= interpolate.UnivariateSpline(t,numpy.log(b),k=3,s=1.)
lls= numpy.linspace(t[0],t[-1],_NLS)
lps= numpy.exp(lspl(lls))
lps/= numpy.sum(lps)*(lls[1]-lls[0])*2.
b,e= numpy.histogram(tlbd[0],bins=101,normed=True)
t= ((numpy.roll(e,1)-e)/2.+e)[1:]
tspl= interpolate.UnivariateSpline(t,numpy.log(b),k=3,s=0.5)
tls= numpy.linspace(t[0],t[-1],_NLS)
tps= numpy.exp(tspl(tls))
tps/= numpy.sum(tps)*(tls[1]-tls[0])*2.
bovy_plot.bovy_print(fig_width=8.25,fig_height=3.5)
bovy_plot.bovy_plot(lls,lps,'k-',lw=1.5,
xlabel=r'$\mathrm{Galactic\ longitude}\,(\mathrm{deg})$',
ylabel=r'$p(l)$',
xrange=[65.,250.],
yrange=[0.,1.2*numpy.nanmax(numpy.hstack((lps,tps)))])
bovy_plot.bovy_plot(tls,tps,'k-',lw=1.5,overplot=True)
#Also plot the stream histogram
#Read stream
data= numpy.loadtxt(os.path.join(_STREAMSNAPDIR,'gd1_evol_hitres_01312.dat'),
delimiter=',')
#Transform to (l,b)
XYZ= bovy_coords.galcenrect_to_XYZ(data[:,1],data[:,3],data[:,2],Xsun=8.)
lbd= bovy_coords.XYZ_to_lbd(XYZ[0],XYZ[1],XYZ[2],degree=True)
aadata= numpy.loadtxt(os.path.join(_STREAMSNAPAADIR,
'gd1_evol_hitres_aa_01312.dat'),
delimiter=',')
thetar= aadata[:,6]
thetar= (numpy.pi+(thetar-numpy.median(thetar))) % (2.*numpy.pi)
indx= numpy.fabs(thetar-numpy.pi) > (5.*numpy.median(numpy.fabs(thetar-numpy.median(thetar))))
lbd= lbd[indx,:]
bovy_plot.bovy_hist(lbd[:,0],bins=40,range=[65.,250.],
histtype='step',normed=True,
overplot=True,
lw=1.5,color='k')
bovy_plot.bovy_end_print(plotfilename)
def sky_coords(cluster):
"""
NAME:
sky_coords
PURPOSE:
Get the sky coordinates of every star in the cluster
INPUT:
cluster - a StarCluster-class object
OUTPUT:
ra,dec,d0,pmra,pmdec,vr0
HISTORY:
2018 - Written - Webb (UofT)
"""
origin0 = cluster.origin
if origin0 != "galaxy":
cluster.to_galaxy()
x0, y0, z0 = bovy_coords.galcenrect_to_XYZ(
cluster.x, cluster.y, cluster.z, Xsun=8.0, Zsun=0.025
).T
vx0, vy0, vz0 = bovy_coords.galcenrect_to_vxvyvz(
cluster.vx,
cluster.vy,
cluster.vz,
Xsun=8.0,
Zsun=0.025,
vsun=[-11.1, 244.0, 7.25],
).T
l0, b0, d0 = bovy_coords.XYZ_to_lbd(x0, y0, z0, degree=True).T
ra, dec = bovy_coords.lb_to_radec(l0, b0, degree=True).T
vr0, pmll0, pmbb0 = bovy_coords.vxvyvz_to_vrpmllpmbb(
vx0, vy0, vz0, l0, b0, d0, degree=True
).T
pmra, pmdec = bovy_coords.pmllpmbb_to_pmrapmdec(pmll0, pmbb0, l0, b0, degree=True).T
if origin0 == "centre":
cluster.to_centre()
elif origin0 == "cluster":
cluster.to_cluster()
return ra, dec, d0, pmra, pmdec, vr0
def to_radec(cluster, do_order=False, do_key_params=False, ro=8.0, vo=220.0):
"""Convert to on-sky position, proper motion, and radial velocity of cluster
Parameters
----------
cluster : class
StarCluster
do_order : bool
sort star by radius after coordinate change (default: False)
do_key_params : bool
call key_params to calculate key parameters after unit change (default: False)
ro : float
galpy radius scaling parameter
vo : float
galpy velocity scaling parameter
Returns
-------
None
History:
-------
2018 - Written - Webb (UofT)
"""
if len(cluster.ra) == len(cluster.x):
cluster.x = copy(cluster.ra)
cluster.y = copy(cluster.dec)
cluster.z = copy(cluster.dist)
cluster.vx = copy(cluster.pmra)
cluster.vy = copy(cluster.pmdec)
cluster.vz = copy(cluster.vlos)
cluster.units = "radec"
cluster.origin = "sky"
else:
units0, origin0 = cluster.units, cluster.origin
cluster.to_galaxy()
cluster.to_kpckms()
x0, y0, z0 = bovy_coords.galcenrect_to_XYZ(cluster.x,
cluster.y,
cluster.z,
Xsun=8.0,
Zsun=0.025).T
cluster.dist = np.sqrt(x0**2.0 + y0**2.0 + z0**2.0)
vx0, vy0, vz0 = bovy_coords.galcenrect_to_vxvyvz(
cluster.vx,
cluster.vy,
cluster.vz,
Xsun=8.0,
Zsun=0.025,
vsun=[-11.1, 244.0, 7.25],
).T
cluster.vlos = (vx0 * x0 + vy0 * y0 +
vz0 * z0) / np.sqrt(x0**2.0 + y0**2.0 + z0**2.0)
l0, b0, cluster.dist = bovy_coords.XYZ_to_lbd(x0, y0, z0,
degree=True).T
cluster.ra, cluster.dec = bovy_coords.lb_to_radec(l0, b0,
degree=True).T
vr0, pmll0, pmbb0 = bovy_coords.vxvyvz_to_vrpmllpmbb(vx0,
vy0,
vz0,
l0,
b0,
cluster.dist,
degree=True).T
cluster.pmra, cluster.pmdec = bovy_coords.pmllpmbb_to_pmrapmdec(
pmll0, pmbb0, l0, b0, degree=True).T
x0, y0, z0 = bovy_coords.galcenrect_to_XYZ(cluster.xgc,
cluster.ygc,
cluster.zgc,
Xsun=8.0,
Zsun=0.025)
vx0, vy0, vz0 = bovy_coords.galcenrect_to_vxvyvz(
cluster.vxgc,
cluster.vygc,
cluster.vzgc,
Xsun=8.0,
Zsun=0.025,
vsun=[-11.1, 244.0, 7.25],
)
cluster.vlos_gc = (vx0 * x0 + vy0 * y0 +
vz0 * z0) / np.sqrt(x0**2.0 + y0**2.0 + z0**2.0)
l0, b0, cluster.dist_gc = bovy_coords.XYZ_to_lbd(x0,
y0,
z0,
degree=True)
cluster.ra_gc, cluster.dec_gc = bovy_coords.lb_to_radec(l0,
b0,
degree=True)
vr0, pmll0, pmbb0 = bovy_coords.vxvyvz_to_vrpmllpmbb(vx0,
vy0,
vz0,
l0,
b0,
cluster.dist_gc,
degree=True)
cluster.pmra_gc, cluster.pmdec_gc = bovy_coords.pmllpmbb_to_pmrapmdec(
pmll0, pmbb0, l0, b0, degree=True)
cluster.x = copy(cluster.ra)
cluster.y = copy(cluster.dec)
cluster.z = copy(cluster.dist)
cluster.vx = copy(cluster.pmra)
cluster.vy = copy(cluster.pmdec)
cluster.vz = copy(cluster.vlos)
cluster.xgc = copy(cluster.ra_gc)
cluster.ygc = copy(cluster.dec_gc)
cluster.zgc = copy(cluster.dist_gc)
cluster.vxgc = copy(cluster.pmra_gc)
cluster.vygc = copy(cluster.pmdec_gc)
cluster.vzgc = copy(cluster.vlos_gc)
cluster.units = "radec"
cluster.origin = "sky"
cluster.rv3d()
if do_key_params:
cluster.key_params(do_order=do_order)
def plot_stream_lb(plotfilename):
#Read stream
data= numpy.loadtxt(os.path.join(_STREAMSNAPDIR,'gd1_evol_hitres_01312.dat'),
delimiter=',')
aadata= numpy.loadtxt(os.path.join(_STREAMSNAPAADIR,
'gd1_evol_hitres_aa_01312.dat'),
delimiter=',')
thetar= aadata[:,6]
thetar= (numpy.pi+(thetar-numpy.median(thetar))) % (2.*numpy.pi)
sindx= numpy.fabs(thetar-numpy.pi) > (1.5*numpy.median(numpy.fabs(thetar-numpy.median(thetar)))) #stars in the stream
#Transform to (l,b)
XYZ= bovy_coords.galcenrect_to_XYZ(data[:,1],data[:,3],data[:,2],Xsun=8.)
lbd= bovy_coords.XYZ_to_lbd(XYZ[0],XYZ[1],XYZ[2],degree=True)
vXYZ= bovy_coords.galcenrect_to_vxvyvz(data[:,4],data[:,6],data[:,5],
vsun=[0.,30.24*8.,0.])
vlbd= bovy_coords.vxvyvz_to_vrpmllpmbb(vXYZ[0],vXYZ[1],vXYZ[2],
lbd[:,0],lbd[:,1],lbd[:,2],
degree=True)
includeorbit= True
if includeorbit:
npts= 201
pot= potential.LogarithmicHaloPotential(normalize=1.,q=0.9)
pts= numpy.linspace(0.,4.,npts)
#Calculate progenitor orbit around this point
pox= numpy.median(data[:,1])
poy= numpy.median(data[:,3])
poz= numpy.median(data[:,2])
povx= numpy.median(data[:,4])
povy= numpy.median(data[:,6])
povz= numpy.median(data[:,5])
pR,pphi,pZ= bovy_coords.rect_to_cyl(pox,poy,poz)
pvR,pvT,pvZ= bovy_coords.rect_to_cyl_vec(povx,povy,povz,pR,
pphi,pZ,cyl=True)
ppo= Orbit([pR/8.,pvR/220.,pvT/220.,pZ/8.,pvZ/220.,pphi])
pno= Orbit([pR/8.,-pvR/220.,-pvT/220.,pZ/8.,-pvZ/220.,pphi])
ppo.integrate(pts,pot)
pno.integrate(pts,pot)
pvec= numpy.zeros((6,npts*2-1))
pvec[0,:npts-1]= pno.x(pts)[::-1][:-1]
pvec[1,:npts-1]= pno.z(pts)[::-1][:-1]
pvec[2,:npts-1]= pno.y(pts)[::-1][:-1]
pvec[0,npts-1:]= ppo.x(pts)
pvec[1,npts-1:]= ppo.z(pts)
pvec[2,npts-1:]= ppo.y(pts)
pvec[3,:npts-1]= -pno.vx(pts)[::-1][:-1]
pvec[4,:npts-1]= -pno.vz(pts)[::-1][:-1]
pvec[5,:npts-1]= -pno.vy(pts)[::-1][:-1]
pvec[3,npts-1:]= ppo.vx(pts)
pvec[4,npts-1:]= ppo.vz(pts)
pvec[5,npts-1:]= ppo.vy(pts)
pvec[:3,:]*= 8.
pvec[3:,:]*= 220.
pXYZ= bovy_coords.galcenrect_to_XYZ(pvec[0,:],pvec[2,:],pvec[1,:],
Xsun=8.)
plbd= bovy_coords.XYZ_to_lbd(pXYZ[0],pXYZ[1],pXYZ[2],degree=True)
pvXYZ= bovy_coords.galcenrect_to_vxvyvz(pvec[3,:],pvec[5,:],pvec[4,:],
vsun=[0.,30.24*8.,0.])
pvlbd= bovy_coords.vxvyvz_to_vrpmllpmbb(pvXYZ[0],pvXYZ[1],pvXYZ[2],
plbd[:,0],plbd[:,1],plbd[:,2],
degree=True)
includetrack= True
if includetrack:
#Setup stream model
lp= potential.LogarithmicHaloPotential(q=0.9,normalize=1.)
aAI= actionAngleIsochroneApprox(b=0.8,pot=lp)
obs= numpy.array([1.56148083,0.35081535,-1.15481504,
0.88719443,-0.47713334,0.12019596])
sdf= streamdf(_SIGV/220.,progenitor=Orbit(obs),pot=lp,aA=aAI,
leading=True,nTrackChunks=_NTRACKCHUNKS,
vsun=[0.,30.24*8.,0.],
tdisrupt=4.5/bovy_conversion.time_in_Gyr(220.,8.),
multi=_NTRACKCHUNKS)
sdft= streamdf(_SIGV/220.,progenitor=Orbit(obs),pot=lp,aA=aAI,
leading=False,nTrackChunks=_NTRACKCHUNKS,
vsun=[0.,30.24*8.,0.],
tdisrupt=4.5/bovy_conversion.time_in_Gyr(220.,8.),
multi=_NTRACKCHUNKS)
#Plot
bovy_plot.bovy_print(fig_width=8.25,fig_height=3.5)
if 'ld' in plotfilename:
lbindx= 2
ylabel=r'$\mathrm{Distance}\,(\mathrm{kpc})$'
yrange=[0.,30.]
elif 'lvlos' in plotfilename:
lbindx= 0
ylabel=r'$V_\mathrm{los}\,(\mathrm{km\,s}^{-1})$'
yrange=[-500.,500.]
elif 'lpmll' in plotfilename:
lbindx= 1
ylabel=r'$\mu_{l}\cos b\,(\mathrm{mas\,yr}^{-1})$'
yrange=[-2.,13.5]
elif 'lpmbb' in plotfilename:
lbindx= 2
ylabel=r'$\mu_{b}\,(\mathrm{mas\,yr}^{-1})$'
yrange=[-8.,7.]
else:
lbindx= 1
yrange=[-10.,60.]
ylabel=r'$\mathrm{Galactic\ latitude}\,(\mathrm{deg})$'
if 'vlos' in plotfilename or 'pm' in plotfilename:
#Stream
bovy_plot.bovy_plot(lbd[sindx,0],vlbd[sindx,lbindx],'k,',
xlabel=r'$\mathrm{Galactic\ longitude}\,(\mathrm{deg})$',
ylabel=ylabel,
xrange=[0.,290.],
yrange=yrange)
#Progenitor
pindx= copy.copy(True-sindx)
pindx[0:9900]= False
bovy_plot.bovy_plot(lbd[pindx,0],vlbd[pindx,lbindx],'k,',overplot=True)
else:
bovy_plot.bovy_plot(lbd[sindx,0],lbd[sindx,lbindx],'k,',
xlabel=r'$\mathrm{Galactic\ longitude}\,(\mathrm{deg})$',
ylabel=ylabel,
xrange=[0.,290.],
yrange=yrange)
#Progenitor
pindx= copy.copy(True-sindx)
pindx[0:9900]= False
bovy_plot.bovy_plot(lbd[pindx,0],lbd[pindx,lbindx],'k,',overplot=True)
if includeorbit:
if 'vlos' in plotfilename or 'pm' in plotfilename:
bovy_plot.bovy_plot(plbd[npts,0],pvlbd[npts,lbindx],
'o',color='0.5',mec='none',overplot=True,ms=8)
bovy_plot.bovy_plot(plbd[:,0],pvlbd[:,lbindx],'k--',overplot=True)
else:
bovy_plot.bovy_plot(plbd[npts,0],plbd[npts,lbindx],
'o',color='0.5',mec='none',overplot=True,ms=8)
bovy_plot.bovy_plot(plbd[:,0],plbd[:,lbindx],'k--',overplot=True)
if includetrack:
d1= 'll'
if 'vlos' in plotfilename:
d2= 'vlos'
elif 'pmll' in plotfilename:
d2= 'pmll'
elif 'pmbb' in plotfilename:
d2= 'pmbb'
elif 'ld' in plotfilename:
d2= 'dist'
else:
d2= 'bb'
sdf.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
sdft.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
#Insets
if 'vlos' in plotfilename:
xmin, xmax= 220., 250.
ymin, ymax= 230., 390.
pyplot.plot([xmin,xmin],[ymin,ymax],'k-')
pyplot.plot([xmax,xmax],[ymin,ymax],'k-')
pyplot.plot([xmin,xmax],[ymin,ymin],'k-')
pyplot.plot([xmin,xmax],[ymax,ymax],'k-')
pyplot.plot([xmin,152.],[ymin,-100.],'k:')
pyplot.plot([xmin,152.],[ymax,460.],'k:')
insetAxes= pyplot.axes([0.15,0.42,0.38,0.45])
pyplot.sca(insetAxes)
bovy_plot.bovy_plot(lbd[:,0],vlbd[:,lbindx],'k,',
overplot=True)
sdf.plotProgenitor(d1=d1,d2=d2,color='k',ls='--',
overplot=True)
sdf.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
#Plot approximate scale
bovy_plot.bovy_plot([240.,240.],[250.,275.],'k-',lw=2.,
overplot=True)
bovy_plot.bovy_text(241.,255.,r'$25\,\mathrm{km\,s}^{-1}$',
size=16.)
nullfmt = NullFormatter() # no labels
insetAxes.xaxis.set_major_formatter(nullfmt)
insetAxes.yaxis.set_major_formatter(nullfmt)
insetAxes.set_xlim(xmin,xmax)
insetAxes.set_ylim(ymin,ymax)
elif 'pmll' in plotfilename:
xmin, xmax= 158.,205.
ymin, ymax= 10.5, 13.
pyplot.plot([xmin,xmin],[ymin,ymax],'k-')
pyplot.plot([xmax,xmax],[ymin,ymax],'k-')
pyplot.plot([xmin,xmax],[ymin,ymin],'k-')
pyplot.plot([xmin,xmax],[ymax,ymax],'k-')
pyplot.plot([xmin,113.],[ymin,6.1],'k:')
pyplot.plot([xmax,227.],[ymin,6.1],'k:')
insetAxes= pyplot.axes([0.43,0.12,0.3,0.4])
pyplot.sca(insetAxes)
bovy_plot.bovy_plot(lbd[sindx,0],vlbd[sindx,lbindx],'k,',
overplot=True)
bovy_plot.bovy_plot(lbd[pindx,0],vlbd[pindx,lbindx],'k,',
overplot=True)
sdf.plotProgenitor(d1=d1,d2=d2,color='k',ls='--',
overplot=True)
sdf.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
#Plot approximate scale
bovy_plot.bovy_plot([168.5,168.5],[10.75,11.25],'k-',lw=2.,
overplot=True)
bovy_plot.bovy_text(169.8,10.875,r'$0.5\,\mathrm{mas\,yr}^{-1}$',
size=16.)
nullfmt = NullFormatter() # no labels
insetAxes.xaxis.set_major_formatter(nullfmt)
insetAxes.yaxis.set_major_formatter(nullfmt)
insetAxes.set_xlim(xmin,xmax)
insetAxes.set_ylim(ymin,ymax)
elif 'pmbb' in plotfilename:
xmin, xmax= 185., 230.
ymin, ymax= -7.4, -4.7
pyplot.plot([xmin,xmin],[ymin,ymax],'k-')
pyplot.plot([xmax,xmax],[ymin,ymax],'k-')
pyplot.plot([xmin,xmax],[ymin,ymin],'k-')
pyplot.plot([xmin,xmax],[ymax,ymax],'k-')
pyplot.plot([xmin,159.],[ymax,1.],'k:')
pyplot.plot([xmax,287.],[ymax,1.],'k:')
#2nd inset
xmin2, xmax2= 80., 125.
ymin2, ymax2= 4.2, 5.8
pyplot.plot([xmin2,xmin2],[ymin2,ymax2],'k-')
pyplot.plot([xmax2,xmax2],[ymin2,ymax2],'k-')
pyplot.plot([xmin2,xmax2],[ymin2,ymin2],'k-')
pyplot.plot([xmin2,xmax2],[ymax2,ymax2],'k-')
pyplot.plot([xmin2,8.],[ymin2,-1.],'k:')
pyplot.plot([xmax2,155.],[ymin2,-1.],'k:')
insetAxes= pyplot.axes([0.55,0.57,0.34,0.3])
pyplot.sca(insetAxes)
bovy_plot.bovy_plot(lbd[:,0],vlbd[:,lbindx],'k,',
overplot=True)
sdf.plotProgenitor(d1=d1,d2=d2,color='k',ls='--',
overplot=True)
sdf.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
#Plot approximate scale
bovy_plot.bovy_plot([200.,200.],[-5.75,-5.25],'k-',lw=2.,
overplot=True)
bovy_plot.bovy_text(201.25,-5.675,r'$0.5\,\mathrm{mas\,yr}^{-1}$',
size=16.)
nullfmt = NullFormatter() # no labels
insetAxes.xaxis.set_major_formatter(nullfmt)
insetAxes.yaxis.set_major_formatter(nullfmt)
insetAxes.set_xlim(xmin,xmax)
insetAxes.set_ylim(ymin,ymax)
pyplot.tick_params(\
axis='both', # changes apply to the x-axis
which='both', # both major and minor ticks are affected
bottom='off', # ticks along the bottom edge are off
top='off', # ticks along the top edge are off
left='off', # ticks along the bottom edge are off
right='off') # ticks along the top edge are off
#Also make second inset
insetAxes= pyplot.axes([0.14,0.12,0.4,0.35])
pyplot.sca(insetAxes)
bovy_plot.bovy_plot(lbd[:,0],vlbd[:,lbindx],'k,',
overplot=True)
sdft.plotProgenitor(d1=d1,d2=d2,color='k',ls='--',
overplot=True)
sdft.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
#Plot approximate scale
bovy_plot.bovy_plot([103.,103.],[4.35,4.85],'k-',lw=2.,
overplot=True)
bovy_plot.bovy_text(104.,4.5,r'$0.5\,\mathrm{mas\,yr}^{-1}$',
size=16.)
nullfmt = NullFormatter() # no labels
insetAxes.xaxis.set_major_formatter(nullfmt)
insetAxes.yaxis.set_major_formatter(nullfmt)
insetAxes.set_xlim(xmin2,xmax2)
insetAxes.set_ylim(ymin2,ymax2)
elif 'ld' in plotfilename:
xmin, xmax= 158., 227.
ymin, ymax= 7.7,9.5
pyplot.plot([xmin,xmin],[ymin,ymax],'k-')
pyplot.plot([xmax,xmax],[ymin,ymax],'k-')
pyplot.plot([xmin,xmax],[ymin,ymin],'k-')
pyplot.plot([xmin,xmax],[ymax,ymax],'k-')
pyplot.plot([xmin,70.],[ymax,18.5],'k:')
pyplot.plot([xmax,248.],[ymax,18.5],'k:')
#2nd inset
xmin2, xmax2= 72.,100.
ymin2, ymax2= 11.5, 16.1
pyplot.plot([xmin2,xmin2],[ymin2,ymax2],'k-')
pyplot.plot([xmax2,xmax2],[ymin2,ymax2],'k-')
pyplot.plot([xmin2,xmax2],[ymin2,ymin2],'k-')
pyplot.plot([xmin2,xmax2],[ymax2,ymax2],'k-')
pyplot.plot([xmin2,66.5],[ymax2,15.85],'k:')
pyplot.plot([xmin2,66.5],[ymin2,0.5],'k:')
insetAxes= pyplot.axes([0.31,0.6,0.48,0.27])
pyplot.sca(insetAxes)
bovy_plot.bovy_plot(lbd[sindx,0],lbd[sindx,lbindx],'k,',
overplot=True)
bovy_plot.bovy_plot(lbd[pindx,0],lbd[pindx,lbindx],'k,',
overplot=True)
sdf.plotProgenitor(d1=d1,d2=d2,color='k',ls='--',
overplot=True)
sdf.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
#Plot approximate scale
bovy_plot.bovy_plot([168.,168.],[8.7,9.2],'k-',lw=2.,
overplot=True)
bovy_plot.bovy_text(169.7,8.8,r'$0.5\,\mathrm{kpc}$',
size=16.)
nullfmt = NullFormatter() # no labels
insetAxes.xaxis.set_major_formatter(nullfmt)
insetAxes.yaxis.set_major_formatter(nullfmt)
insetAxes.set_xlim(xmin,xmax)
insetAxes.set_ylim(ymin,ymax)
pyplot.tick_params(\
axis='both', # changes apply to the x-axis
which='both', # both major and minor ticks are affected
bottom='off', # ticks along the bottom edge are off
top='off', # ticks along the top edge are off
left='off', # ticks along the bottom edge are off
right='off') # ticks along the top edge are off
#Also make second inset
insetAxes= pyplot.axes([0.13,0.12,0.17,0.4])
pyplot.sca(insetAxes)
bovy_plot.bovy_plot(lbd[:,0],lbd[:,lbindx],'k,',
overplot=True)
sdft.plotProgenitor(d1=d1,d2=d2,color='k',ls='--',
overplot=True)
sdft.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
#Plot approximate scale
bovy_plot.bovy_plot([74.,74.],[11.95,12.45],'k-',lw=2.,
overplot=True)
bovy_plot.bovy_text(76.,12.01,r'$0.5\,\mathrm{kpc}$',
size=16.)
nullfmt = NullFormatter() # no labels
insetAxes.xaxis.set_major_formatter(nullfmt)
insetAxes.yaxis.set_major_formatter(nullfmt)
insetAxes.set_xlim(xmin2,xmax2)
insetAxes.set_ylim(ymin2,ymax2)
else:
xmin, xmax= 90., 165.
ymin, ymax= 47., 59.
pyplot.plot([xmin,xmin],[ymin,ymax],'k-')
pyplot.plot([xmax,xmax],[ymin,ymax],'k-')
pyplot.plot([xmin,xmax],[ymin,ymin],'k-')
pyplot.plot([xmin,xmax],[ymax,ymax],'k-')
pyplot.plot([xmin,70.],[ymin,31.],'k:')
pyplot.plot([xmax,213.],[ymin,31.],'k:')
insetAxes= pyplot.axes([0.31,0.12,0.38,0.45])
pyplot.sca(insetAxes)
bovy_plot.bovy_plot(lbd[sindx,0],lbd[sindx,lbindx],'k,',
overplot=True)
bovy_plot.bovy_plot(lbd[pindx,0],lbd[pindx,lbindx],'k,',
overplot=True)
sdft.plotProgenitor(d1=d1,d2=d2,color='k',ls='--',
overplot=True)
sdft.plotTrack(d1=d1,d2=d2,interp=True,color='k',spread=0,
overplot=True,lw=1.)
#Plot approximate scale
bovy_plot.bovy_plot([115.,115.],[48.5,49.5],'k-',lw=2.,
overplot=True)
bovy_plot.bovy_text(117.2,48.5,r'$1^\circ$',
size=16.)
nullfmt = NullFormatter() # no labels
insetAxes.xaxis.set_major_formatter(nullfmt)
insetAxes.yaxis.set_major_formatter(nullfmt)
insetAxes.set_xlim(xmin,xmax)
insetAxes.set_ylim(ymin,ymax)
pyplot.tick_params(\
axis='both', # changes apply to the x-axis
which='both', # both major and minor ticks are affected
bottom='off', # ticks along the bottom edge are off
top='off', # ticks along the top edge are off
left='off', # ticks along the bottom edge are off
right='off') # ticks along the top edge are off
bovy_plot.bovy_end_print(plotfilename)