def skyToPix(self, ra_deg, dec_deg):
sin = np.sin
cos = np.cos
#Parse inputs and allocate space for outputs
ra_deg, dec_deg = self.parseInputs(ra_deg, dec_deg)
long_deg = ra_deg * 0
lat_deg = long_deg * 0
#Get longitude and latitude relative to defined origin.
for i in range(len(ra_deg)):
vec = rotate.vecFromRaDec(ra_deg[i], dec_deg[i])
aVec = np.dot( self.Rmatrix, vec)
long_deg[i], lat_deg[i] = rotate.raDecFromVec(aVec)
long_deg = np.fmod(long_deg + 180, 360.)
long_rad = np.radians(long_deg) - np.pi #[-pi,pi]
lat_rad = np.radians(lat_deg)
#long_rad = np.fmod(long_rad+ np.pi, 2*np.pi)
gamma = 1 + cos(lat_rad)* cos(long_rad/2.)
gamma = np.sqrt(2/gamma)
x = -2*gamma*cos(lat_rad)*sin(long_rad/2)
y = gamma*sin(lat_rad)
return x, y
def skyToPix(self, ra_deg, dec_deg):
sin = np.sin
cos = np.cos
#Parse inputs and allocate space for outputs
ra_deg, dec_deg = self.parseInputs(ra_deg, dec_deg)
long_deg = ra_deg * 0
lat_deg = long_deg * 0
#Get longitude and latitude relative to defined origin.
for i in range(len(ra_deg)):
vec = rotate.vecFromRaDec(ra_deg[i], dec_deg[i])
aVec = np.dot(self.Rmatrix, vec)
long_deg[i], lat_deg[i] = rotate.raDecFromVec(aVec)
long_deg = np.fmod(long_deg + 180, 360.)
long_rad = np.radians(long_deg) - np.pi #[-pi,pi]
lat_rad = np.radians(lat_deg)
#long_rad = np.fmod(long_rad+ np.pi, 2*np.pi)
gamma = 1 + cos(lat_rad) * cos(long_rad / 2.)
gamma = np.sqrt(2 / gamma)
x = -2 * gamma * cos(lat_rad) * sin(long_rad / 2)
y = gamma * sin(lat_rad)
return x, y
def getRaDecs(self, mods):
"""Internal function converting cartesian coords to
ra dec"""
raDecOut = np.empty( (len(mods), 5))
raDecOut[:,0:3] = mods[:,0:3]
for i, row in enumerate(mods):
raDecOut[i, 3:5] = r.raDecFromVec(row[3:6])
return raDecOut
def pixToSky(self, x, y):
x, y = self.parseInputs(x, y)
R = self.Rmatrix
invR = np.matrix(R.transpose())
ra_deg = np.empty((len(x), ))
dec_deg = np.empty((len(x), ))
for i in range(len(x)):
phi_rad = np.arctan2(y, x)
r = np.hypot(x, y)
theta_rad = np.arctan(r)
aVec = np.zeros((3, ))
aVec[0] = np.cos(theta_rad)
aVec[1] = np.sin(theta_rad) * np.cos(phi_rad)
aVec[2] = np.sin(theta_rad) * np.sin(phi_rad)
vec = np.dot(invR, aVec)
vec = np.array(vec)[0] #Convert to 1d array
ra_deg[i], dec_deg[i] = rotate.raDecFromVec(vec)
return ra_deg, dec_deg
def pixToSky(self, x, y):
x, y = self.parseInputs(x, y)
R = self.Rmatrix
invR = np.matrix(R.transpose())
ra_deg = np.empty( (len(x),))
dec_deg = np.empty( (len(x),))
for i in range(len(x)):
phi_rad = np.arctan2(y,x)
r = np.hypot(x,y)
theta_rad = np.arctan(r)
aVec = np.zeros((3,))
aVec[0] = np.cos(theta_rad)
aVec[1] = np.sin(theta_rad)*np.cos(phi_rad)
aVec[2] = np.sin(theta_rad)*np.sin(phi_rad)
vec = np.dot(invR, aVec)
vec = np.array(vec)[0] #Convert to 1d array
ra_deg[i], dec_deg[i] = rotate.raDecFromVec(vec)
return ra_deg, dec_deg
