eff_dualbeam.py
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title = "Dualbeam"
tip = "transforms dual beam maps to given coordinate system"
onein = True
import numpy as np
import nodastro
from nodmath import FixNaNs
#from scipy.ndimage import map_coordinates
from nodmath import map_interpolate
try:
from scipy.interpolate import griddata
except:
from nodmath import griddata
from guidata.qt.QtGui import QMessageBox
from guidata.dataset.datatypes import DataSet
from guidata.dataset.dataitems import (IntItem, StringItem, ChoiceItem, FloatItem, BoolItem)
from guiqwt.config import _
RAD = np.pi/180.0
def nint(x):
if x > 0: return int(x+0.5)
else: return int(x-0.5)
class NOD3_App:
def __init__(self, parent):
self.parent = parent
self.parent.activateWindow()
def Error(self, msg):
QMessageBox.critical(self.parent.parent(), title,
_(u"Error:")+"\n%s" % str(msg))
def compute_app(self, **args):
class FuncParam(DataSet):
descript = BoolItem("Descriptive", default=True)
name = title.replace(" ", "")
if args == {}:
param = FuncParam(_(title), "Transform in descriptive coordinate system:")
else:
param = self.parent.ScriptParameter(name, args)
# if no parameter needed set param to None. activate next line
param = None
self.parent.compute_11(name, lambda m, p: self.function(m, p), param, onein)
def trafo(self, mat):
return lambda x, y: self.na.getCoord(x, y, mat)
def getAzEl(self, phi):
return lambda x, y: self.na.azel(phi, x, y)
def matrix(self, ra, dec, epoch, desc):
if epoch == 2000:
pmat = self.na.adnow2000
elif epoch == 1950:
pmat = self.na.adnow1950
else:
txt = str("Epoch of %d not yet defined" % epoch)
self.Error(txt)
return [], None
rmat = self.na.rotmat(ra, dec, 0.0)
if desc:
return np.dot(pmat.T, rmat)
else:
return pmat.T
def radec2azel(self, m, p_descript):
na = self.na
epoch = int(m.header['EPOCH']+0.5)
phi = m.header['SITELAT']
RA = m.header['CRVAL1']
DEC = m.header['CRVAL2']
dAz = m.header['PATLONG']
dEl = m.header['PATLAT']
xpix = m.header['CRPIX1']-1
ypix = m.header['CRPIX2']-1
dxpix = abs(m.header['CDELT1'])
dypix = m.header['CDELT2']
sid = m.sidmap.ravel()
# calculate new sidereal time and eqatorial coordinates from horizontal
pmat = self.matrix(RA, DEC, epoch, False)
mat = self.matrix(RA, DEC, epoch, p_descript)
ra_apcent, dec_apcent = na.trafo(RA, DEC, pmat)
if p_descript:
Mat = na.rotmat(ra_apcent, dec_apcent, 0.0)
else:
Mat = np.array(na.unit)
py, px = np.indices(m.data.shape)
ddec, dra = (py.ravel()-ypix)*dypix, -(px.ravel()-xpix)*dxpix
# apparent position absolut
r_ap, d_ap = self.trafo(mat)(*np.array([dra, ddec]))
az, el = self.getAzEl(phi)(*np.array([sid-r_ap, d_ap]))
az_center, el_center = self.getAzEl(phi)(*np.array([sid-ra_apcent, 0*sid+dec_apcent]))
Az, El = (az-az_center)*np.cos(RAD*el), el-el_center
y, x = (El-np.nanmin(El))/dypix, (Az-np.nanmin(Az))/dxpix
newcols = nint(abs(np.nanmax(Az)-np.nanmin(Az))/dxpix)+1
newrows = nint(abs(np.nanmax(El)-np.nanmin(El))/dypix)+1
grid_y, grid_x = np.indices((newrows, newcols))
newsid = griddata((y, x), sid, (grid_y, grid_x), method='nearest')
sid = newsid.ravel()
rows, cols = np.indices((newrows, newcols))
newypix, newxpix = -np.nanmin(El)/dypix, -np.nanmin(Az)/dxpix
El, Az = (rows.ravel()-newypix)*dypix, (cols.ravel()-newxpix)*dxpix
az_center, el_center = self.getAzEl(phi)(*np.array([sid-ra_apcent, 0*sid+dec_apcent]))
el = el_center + El
az = az_center + Az/np.cos(RAD*el)
t, d = self.getAzEl(phi)(*np.array([az, el]))
ra, dec = self.trafo(mat.T)(*np.array([sid-t, d]))
px = xpix - ra/dxpix
py = ypix + dec/dypix
# interpolation
#m.data = FixNaNs(m.data)
#m.data = map_coordinates(m.data, (py, px), order=4, mode='constant',
# cval=np.nan, prefilter=True, output=np.float32)
m.data = map_interpolate(m.data, px, py)
m.data = m.data.reshape((newrows, newcols))
m.sidmap = sid.reshape((newrows, newcols)) #*240.0
m.header['PATLONG'] = 0.0
m.header['PATLAT'] = 0.0
m.header['CDELT1'] = abs(m.header['CDELT1'])
m.header['CRPIX1'] = newxpix+1 + dAz/m.header['CDELT1']
m.header['CRPIX2'] = newypix+1
m.header['CTYPE1'] = "RA---SFL"
m.header['CTYPE2'] = "DEC--SFL"
m.header['NAXIS1'] = newcols
m.header['NAXIS2'] = newrows
#m.header.set('SCANDIR', 'ALON')
return m
def azel2radec(self, m, p_descript):
na = self.na
epoch = int(m.header['EPOCH']+0.5)
phi = m.header['SITELAT']
RA = m.header['CRVAL1']
DEC = m.header['CRVAL2']
dAz = m.header['PATLONG']
dEl = m.header['PATLAT']
xpix = m.header['CRPIX1']-1
ypix = m.header['CRPIX2']-1
dxpix = m.header['CDELT1']
dypix = m.header['CDELT2']
sid = m.sidmap.ravel()
# calculate new sidereal time and eqatorial coordinates from horizontal
pmat = self.matrix(RA, DEC, epoch, False)
mat = self.matrix(RA, DEC, epoch, p_descript)
ra_apcent, dec_apcent = na.trafo(RA, DEC, pmat)
if p_descript:
Mat = na.rotmat(ra_apcent, dec_apcent, 0.0)
else:
Mat = np.array(na.unit)
az_center, el_center = self.getAzEl(phi)(*np.array([sid - ra_apcent, 0*sid+dec_apcent]))
py, px = np.indices(m.data.shape)
el = (py.ravel()-ypix)*dypix + el_center - dEl
az = (px.ravel()-xpix)*dxpix/np.cos(RAD*el) + az_center - dAz
t, d = self.getAzEl(phi)(*np.array([az, el]))
# apparent position descriptive or absolut
ra, dec = self.trafo(Mat.T)(*np.array([sid-t, d]))
y, x = (dec-np.nanmin(dec))/dypix, (np.nanmax(ra)-ra)/dxpix
# catalog position descriptive or absolut
ra, dec = self.trafo(mat.T)(*np.array([sid-t, d]))
newcols = nint(abs(np.nanmax(ra)-np.nanmin(ra))/dxpix)+1
newrows = nint(abs(np.nanmax(dec)-np.nanmin(dec))/dypix)+1
grid_y, grid_x = np.indices((newrows, newcols))
#m.data = griddata((y, x), m.data.ravel(), (grid_y, grid_x), method='cubic')
#return m, p
newsid = griddata((y, x), sid, (grid_y, grid_x), method='nearest')
sid = newsid.ravel()
rows, cols = np.indices((newrows, newcols))
newypix, newxpix = -np.nanmin(dec)/dypix, np.nanmax(ra)/dxpix
ddec = (rows.ravel()-newypix)*dypix
dra = -(cols.ravel()-newxpix)*dxpix
if p_descript:
r, d = self.trafo(mat)(*np.array([dra, ddec]))
else:
r, d = self.trafo(mat)(*np.array([ra+dra, dec+ddec]))
az, el = self.getAzEl(phi)(*np.array([sid-r, d]))
ac, ec = self.getAzEl(phi)(*np.array([sid-ra_apcent, 0*d+dec_apcent]))
px = xpix + (az-ac+dAz)/dxpix*np.cos(RAD*el)
py = ypix + (el-ec+dEl)/dypix
# interpolation
#m.data = FixNaNs(m.data)
#m.data = map_coordinates(m.data, (py, px), order=4, mode='constant',
# cval=np.nan, prefilter=True, output=np.float32)
m.data = map_interpolate(m.data, px, py)
m.data = m.data.reshape((newrows, newcols))
m.sidmap = sid.reshape((newrows, newcols))*240.0
m.header['PATLONG'] = 0.0
m.header['PATLAT'] = 0.0
m.header['CDELT1'] = -abs(m.header['CDELT1'])
m.header['CRPIX1'] = newxpix+1
m.header['CRPIX2'] = newypix+1
m.header['NAXIS1'] = newcols
m.header['NAXIS2'] = newrows
if p_descript:
m.header['CTYPE1'] = "RA---DES"
m.header['CTYPE2'] = "DEC--DES"
else:
m.header['CTYPE1'] = "RA---CAR"
m.header['CTYPE2'] = "DEC--CAR"
#del m.header['SCANDIR']
return m
def function(self, m, p):
if p == None:
p_descript = True
else:
p_descript = p.descript
na = nodastro.nodtrafo(m.header['DATE_OBS'])
self.na = na
if m.header['CTYPE1'][:4] == "GLON":
self.gmat = na.LBAD2000
elif int(m.header['EPOCH']+0.5) != 1950 and int(m.header['EPOCH']+0.5) != 2000:
self.Error("Map not in J2000 or B1950")
return [], None
else:
self.gmat = na.unit
# rescale sidmap
if 'SIDPIX' in m.header.keys():
dx = m.header['SIDPIX']
ix = nint(dx+0.5)
else:
ix = 0
if not hasattr(m, 'sidmap'):
self.Error("sorry, no sidereal time data available")
return [], None
m.sidmap = m.sidmap[:,:m.sidmap.shape[1]-ix+1]/240.0
if not 'PATLONG' in m.header.keys():
self.Error("PATLONG not defined, no transformation necessary!")
return [], None
elif m.header['PATLONG'] == 0.0:
self.Error("PATLONG == 0.0, no transformation necessary!")
return [], None
elif 'SCANDIR' in m.header.keys() and m.header['SCANDIR'] not in ('ALON', 'ALAT'):
m = self.radec2azel(m, p_descript)
m = self.azel2radec(m, p_descript)
else:
self.Error("Map scanned in Az/El")
return [], None
m = self.parent.removeNANedges(m)
self.parent.SidOut = True
return m, p