def orient_box(self, **kwargs):
"""
Center and rotate box coordinates AND velocities according to
received kwargs 'center' and 'view'. If 'center' unspecified,
looks for 'centering' kwargs and attempts to auto-center the box.
"""
center = kwargs.get('center', None)
vcenter = kwargs.get('vcenter', None)
centering = kwargs.get('centering', None)
view = kwargs.get('view', None)
dlim = kwargs.pop('dens_lim', 1e9)
xyz = ['x', 'y', 'z']
uvw = ['u', 'v', 'w']
try:
pos_vel = self[xyz + uvw]
except KeyError:
self.load_coords()
self.load_velocities()
pos_vel = self[xyz + uvw]
if center:
if vcenter is None:
print "Warning: Not Re-centering particle Velocities!"
pos_vel = analyze.center_box(pos_vel, center, vcenter)
else:
if centering in ['avg','max']:
try:
dens = self.get_number_density()
except AttributeError:
raise KeyError("Cannot density-center dark matter!")
pos_vel = analyze.center_box(pos_vel, density=dens, **kwargs)
elif centering == 'box':
pos_vel = analyze.center_box(pos_vel, **kwargs)
self[pos_vel.keys()] = pos_vel
if view:
print 'Rotating Box...'
if view == 'face':
try:
dens = self.get_number_density()
except AttributeError:
raise KeyError("Cannot density-center dark matter!")
xyz, uvw = visualize.set_view(view, self[xyz], velocity=self[uvw],
density=dens, dens_lim=dlim)
else:
xyz, uvw = visualize.set_view(view, self[xyz], velocity=self[uvw])
print 'Rotation complete.'
self[['x', 'y', 'z']] = xyz
self[['u', 'v', 'w']] = uvw
def project(snapshot, scale, view, **kwargs):
pps = kwargs.pop('pps', 500)
sm = kwargs.pop('sm', 1.7)
shiftx = kwargs.pop('shiftx', None)
shifty = kwargs.pop('shifty', None)
shiftz = kwargs.pop('shiftz', None)
dens_lim = kwargs.pop('dens_lim', None)
boxsize = float("".join(ch if ch.isdigit() else "" for ch in scale))
unit = "".join(ch if not ch.isdigit() else "" for ch in scale)
dens = snapshot.gas.get_number_density()
xyz = snapshot.gas.get_coords(unit)
uvw = snapshot.gas.get_velocities()
hsml = snapshot.gas.get_smoothing_length(unit)
print 'Calculating...'
xyz = analyze.center_box(xyz, velocity=uvw, density=dens, **kwargs)
xyz = set_view(view, xyz)
x = xyz.x
y = xyz.y
z = xyz.z
if shiftx:
x += shiftx
if shifty:
y += shifty
if shiftz:
z += shiftz
snapshot.update_sink_coordinates(x, y, z)
# Artificially shrink sink smoothing lengths.
for s in snapshot.sinks:
hsml[s.index] *= .5
data = snap.gas['x', 'y', 'z', 'ndensity',
'smoothing_length'].copy(deep=True)
data = trim_view(boxsize, data, **kwargs)
if dens_lim:
arrs = [scalar, x, y, z, hsml]
scalar, x, y, z, hsml = analyze.data_slice(scalar > dens_lim, *arrs)
hsml = numpy.fmax(sm * hsml, boxsize / pps / 2)
xi, yi = build_grid(boxsize, pps)
zi = scalar_map(x, y, scalar, hsml, boxsize, pps, xi.shape)
print '%s:: min: %.3e max: %.3e' % (loadable, zi.min(), zi.max())
imscale = kwargs.pop('imscale', 'log')
if imscale == 'log':
zi = numpy.log10(zi)
print 'log(%s):: min: %.3e max: %.3e' % (loadable, zi.min(), zi.max())
else:
print 'Returning raw (non-log) values!'
return xi, yi, zi
def project(snapshot, scale, view, **kwargs):
pps = kwargs.pop('pps',500)
sm = kwargs.pop('sm',1.7)
shiftx = kwargs.pop('shiftx',None)
shifty = kwargs.pop('shifty',None)
shiftz = kwargs.pop('shiftz',None)
dens_lim = kwargs.pop('dens_lim', None)
boxsize = float("".join(ch if ch.isdigit() else "" for ch in scale))
unit = "".join(ch if not ch.isdigit() else "" for ch in scale)
dens = snapshot.gas.get_number_density()
xyz = snapshot.gas.get_coords(unit)
uvw = snapshot.gas.get_velocities()
hsml = snapshot.gas.get_smoothing_length(unit)
print 'Calculating...'
xyz = analyze.center_box(xyz, velocity=uvw, density=dens, **kwargs)
xyz = set_view(view, xyz)
x = xyz.x
y = xyz.y
z = xyz.z
if shiftx:
x += shiftx
if shifty:
y += shifty
if shiftz:
z += shiftz
snapshot.update_sink_coordinates(x,y,z)
# Artificially shrink sink smoothing lengths.
for s in snapshot.sinks:
hsml[s.index] *= .5
data = snap.gas['x', 'y', 'z', 'ndensity', 'smoothing_length'].copy(deep=True)
data = trim_view(boxsize, data, **kwargs)
if dens_lim:
arrs = [scalar,x,y,z,hsml]
scalar,x,y,z,hsml = analyze.data_slice(scalar > dens_lim, *arrs)
hsml = numpy.fmax(sm * hsml, boxsize/pps/2)
xi,yi = build_grid(boxsize,pps)
zi = scalar_map(x,y,scalar,hsml,boxsize,pps,xi.shape)
print '%s:: min: %.3e max: %.3e' %(loadable, zi.min(),zi.max())
imscale = kwargs.pop('imscale','log')
if imscale == 'log':
zi = numpy.log10(zi)
print 'log(%s):: min: %.3e max: %.3e' %(loadable, zi.min(),zi.max())
else:
print 'Returning raw (non-log) values!'
return xi,yi,zi