def vec2xy(self, vx, vy=None, vz=None, direct=False):
if not direct:
theta,phi=R.vec2dir(self.rotator(vx,vy,vz))
else:
theta,phi=R.vec2dir(vx,vy,vz)
flip = self._flip
# set phi in [-pi,pi]
x = flip*((phi+pi)%(2*pi)-pi)
x /= dtor # convert in degree
y = pi/2. - theta
y /= dtor # convert in degree
return x,y
def vec2xy(self, vx, vy=None, vz=None, direct=False):
if not direct:
theta,phi=R.vec2dir(self.rotator(vx,vy,vz))
else:
theta,phi=R.vec2dir(vx,vy,vz)
flip = self._flip
# set phi in [-pi,pi]
x = flip*((phi+pi)%(2*pi)-pi)
x /= dtor # convert in degree
y = pi/2. - theta
y /= dtor # convert in degree
return x,y
def vec2xy(self, vx, vy=None, vz=None, direct=False):
if not direct:
theta,phi=R.vec2dir(self.rotator(vx,vy,vz))
else:
theta,phi=R.vec2dir(vx,vy,vz)
flip = self._flip
X,Y = MollweideProj.__molldata
# set phi in [-pi,pi]
phi = (phi+pi)%(2*pi)-pi
lat = pi/2. - theta
A = MollweideProj.__lininterp(X,Y,lat)
x = flip*2./pi * phi * np.cos(A)
y = np.sin(A)
return x,y
def vec2xy(self, vx, vy=None, vz=None, direct=False):
if not direct:
theta,phi=R.vec2dir(self.rotator(vx,vy,vz))
else:
theta,phi=R.vec2dir(vx,vy,vz)
flip = self._flip
X,Y = MollweideProj.__molldata
# set phi in [-pi,pi]
phi = (phi+pi)%(2*pi)-pi
lat = pi/2. - theta
A = MollweideProj.__lininterp(X,Y,lat)
x = flip*2./pi * phi * np.cos(A)
y = np.sin(A)
return x,y
def vec2xy(self, vx, vy=None, vz=None, direct=False):
if not direct:
theta,phi=R.vec2dir(self.rotator(vx,vy,vz))
else:
theta,phi=R.vec2dir(vx,vy,vz)
if self.arrayinfo is None:
raise TypeError("No projection plane array information defined for"
" this projector")
half_sky = self.arrayinfo['half_sky']
flip = self._flip
# set phi in [-pi,pi]
phi = flip*(phi+pi)%(2*pi)-pi
lat = pi/2. - theta
x = np.cos(lat)*np.sin(phi)
if not half_sky: x -= 1.0
y = np.sin(lat)
# unfold back of sphere
cosc = np.cos(lat)*np.cos(phi)
if np.any(cosc<0):
hmask = (cosc<0)
if hasattr(x,'__len__'):
if half_sky:
x[hmask] = np.nan
else:
x[hmask] *= -1
elif hmask:
if half_sky:
x = np.nan
else:
x *= 1
if half_sky:
mask = (np.asarray(x)**2+np.asarray(y)**2>1.0)
else:
mask = ((np.mod(np.asarray(x)+2.0,2.0)-1.0)**2 + \
np.asarray(y)**2>1.0)
if mask.any():
if not hasattr(x,'__len__'):
x = np.nan
y = np.nan
else:
x[mask] = np.nan
y[mask] = np.nan
return x,y
def remove_dipole(m,
nest=False,
bad=pixlib.UNSEEN,
gal_cut=0,
fitval=False,
copy=True,
verbose=False):
"""Fit and subtract the dipole and the monopole from the given map m.
Input:
- m: the map from which a dipole is fitted and subtracted
- nest: False if m is in RING scheme, True if it is NESTED
- bad: bad values of pixel, default to UNSEEN.
- gal_cut: latitude below which pixel are not taken into account
- fitval: whether to return or not the fitted values of monopole and dipole
Return:
if fitval is False:
- the map with monopole and dipole subtracted
if fitval is True:
- the map, the monopole value and the dipole vector
"""
m = npy.array(m, copy=copy)
npix = m.size
nside = npix2nside(npix)
if nside > 128:
bunchsize = npix / 24
else:
bunchsize = npix
mono, dipole = fit_dipole(m, nest=nest, bad=bad, gal_cut=gal_cut)
for ibunch in range(npix / bunchsize):
ipix = npy.arange(ibunch * bunchsize, (ibunch + 1) * bunchsize)
ipix = ipix[(m.flat[ipix] != bad) & (npy.isfinite(m.flat[ipix]))]
x, y, z = pix2vec(nside, ipix, nest)
m.flat[ipix] -= (dipole[0] * x)
m.flat[ipix] -= dipole[1] * y
m.flat[ipix] -= dipole[2] * z
m.flat[ipix] -= mono
if verbose:
import rotator as R
lon, lat = R.vec2dir(dipole, lonlat=True)
amp = npy.sqrt((dipole**2).sum())
print 'monopole: %g dipole: lon: %g, lat: %g, amp: %g' % (mono, lon,
lat, amp)
if fitval:
return m, mono, dipole
else:
return m
def remove_dipole(m,nest=False,bad=pixlib.UNSEEN,gal_cut=0,fitval=False,
copy=True,verbose=False):
"""Fit and subtract the dipole and the monopole from the given map m.
Input:
- m: the map from which a dipole is fitted and subtracted
- nest: False if m is in RING scheme, True if it is NESTED
- bad: bad values of pixel, default to UNSEEN.
- gal_cut: latitude below which pixel are not taken into account
- fitval: whether to return or not the fitted values of monopole and dipole
Return:
if fitval is False:
- the map with monopole and dipole subtracted
if fitval is True:
- the map, the monopole value and the dipole vector
"""
m=npy.array(m,copy=copy)
npix = m.size
nside = npix2nside(npix)
if nside>128:
bunchsize = npix/24
else:
bunchsize = npix
mono,dipole = fit_dipole(m,nest=nest,bad=bad,gal_cut=gal_cut)
for ibunch in range(npix/bunchsize):
ipix = npy.arange(ibunch*bunchsize,
(ibunch+1)*bunchsize)
ipix = ipix[(m.flat[ipix]!=bad) & (npy.isfinite(m.flat[ipix]))]
x,y,z = pix2vec(nside, ipix, nest)
m.flat[ipix] -= (dipole[0]*x)
m.flat[ipix] -= dipole[1]*y
m.flat[ipix] -= dipole[2]*z
m.flat[ipix] -= mono
if verbose:
import rotator as R
lon,lat = R.vec2dir(dipole,lonlat=True)
amp = npy.sqrt((dipole**2).sum())
print 'monopole: %g dipole: lon: %g, lat: %g, amp: %g'%(mono,
lon,
lat,
amp)
if fitval:
return m,mono,dipole
else:
return m
def remove_dipole(m, nest=False, bad=UNSEEN, gal_cut=0, fitval=False, copy=True, verbose=True):
"""Fit and subtract the dipole and the monopole from the given map m.
Parameters
----------
m : float, array-like
the map to which a dipole is fitted and subtracted, accepts masked arrays
nest : bool
if ``False`` m is assumed in RING scheme, otherwise map is NESTED
bad : float
bad values of pixel, default to :const:`UNSEEN`.
gal_cut : float
pixels at latitude in [-gal_cut;+gal_cut] are not taken into account
fitval : bool
whether to return or not the fitted values of monopole and dipole
copy : bool
whether to modify input map or not (by default, make a copy)
verbose : bool
print values of monopole and dipole
Returns
-------
res : array or tuple of length 3
if fitval is False, returns map with monopole and dipole subtracted,
otherwise, returns map (array, in res[0]), monopole (float, in res[1]),
dipole_vector (array, in res[2])
See Also
--------
fit_dipole, fit_monopole, remove_monopole
"""
input_ma = is_ma(m)
m = ma_to_array(m)
m = np.array(m, copy=copy)
npix = m.size
nside = npix2nside(npix)
if nside > 128:
bunchsize = npix / 24
else:
bunchsize = npix
mono, dipole = fit_dipole(m, nest=nest, bad=bad, gal_cut=gal_cut)
for ibunch in range(npix / bunchsize):
ipix = np.arange(ibunch * bunchsize, (ibunch + 1) * bunchsize)
ipix = ipix[(m.flat[ipix] != bad) & (np.isfinite(m.flat[ipix]))]
x, y, z = pix2vec(nside, ipix, nest)
m.flat[ipix] -= dipole[0] * x
m.flat[ipix] -= dipole[1] * y
m.flat[ipix] -= dipole[2] * z
m.flat[ipix] -= mono
if verbose:
import rotator as R
lon, lat = R.vec2dir(dipole, lonlat=True)
amp = np.sqrt((dipole ** 2).sum())
print "monopole: %g dipole: lon: %g, lat: %g, amp: %g" % (mono, lon, lat, amp)
if is_ma:
m = ma(m)
if fitval:
return m, mono, dipole
else:
return m
def xy2ang(self, x, y=None, lonlat=False, direct=False):
vec = self.xy2vec(x,y,direct=direct)
return R.vec2dir(vec,lonlat=lonlat)
def remove_dipole(m,nest=False,bad=UNSEEN,gal_cut=0,fitval=False,
copy=True,verbose=False):
"""Fit and subtract the dipole and the monopole from the given map m.
Parameters
----------
m : float, array-like
the map to which a dipole is fitted and subtracted
nest : bool
if ``False`` m is assumed in RING scheme, otherwise map is NESTED
bad : float
bad values of pixel, default to :const:`UNSEEN`.
gal_cut : float
pixels at latitude in [-gal_cut;+gal_cut] are not taken into account
fitval : bool
whether to return or not the fitted values of monopole and dipole
copy : bool
whether to modify input map or not (by default, make a copy)
verbose : bool
print values of monopole and dipole
Returns
-------
res : array or tuple of length 3
if fitval is False, returns map with monopole and dipole subtracted,
otherwise, returns map (array, in res[0]), monopole (float, in res[1]),
dipole_vector (array, in res[2])
See Also
--------
fit_dipole, fit_monopole, remove_monopole
"""
m=npy.array(m,copy=copy)
npix = m.size
nside = npix2nside(npix)
if nside>128:
bunchsize = npix/24
else:
bunchsize = npix
mono,dipole = fit_dipole(m,nest=nest,bad=bad,gal_cut=gal_cut)
for ibunch in range(npix/bunchsize):
ipix = npy.arange(ibunch*bunchsize,
(ibunch+1)*bunchsize)
ipix = ipix[(m.flat[ipix]!=bad) & (npy.isfinite(m.flat[ipix]))]
x,y,z = pix2vec(nside, ipix, nest)
m.flat[ipix] -= (dipole[0]*x)
m.flat[ipix] -= dipole[1]*y
m.flat[ipix] -= dipole[2]*z
m.flat[ipix] -= mono
if verbose:
import rotator as R
lon,lat = R.vec2dir(dipole,lonlat=True)
amp = npy.sqrt((dipole**2).sum())
print 'monopole: %g dipole: lon: %g, lat: %g, amp: %g'%(mono,
lon,
lat,
amp)
if fitval:
return m,mono,dipole
else:
return m
def xy2ang(self, x, y=None, lonlat=False, direct=False):
vec = self.xy2vec(x,y,direct=direct)
return R.vec2dir(vec,lonlat=lonlat)
