def observe( self, timestamp, Tsys, bandpass, pointing_center, skymodel, tobs, pb_min=0.1, fov_radius=None, lst=None ): if bandpass.size != self.bp.shape[1]: raise ValueError("bandpass length does not match.") self.Tsys = self.Tsys + [Tsys] self.vis_rms_freq = self.vis_rms_freq + [ 2.0 * FCNST.k * Tsys / self.A_eff / self.eff_Q / NP.sqrt(2) / tobs / self.freq_resolution / CNST.Jy ] self.tobs = self.tobs + [tobs] self.lst = self.lst + [lst] if self.timestamp == []: self.bp = NP.asarray(bandpass).reshape(1, -1) self.pointing_center = NP.asarray(pointing_center).reshape(1, -1) else: self.bp = NP.vstack((self.bp, NP.asarray(bandpass).reshape(1, -1))) self.pointing_center = NP.vstack((self.pointing_center, NP.asarray(pointing_center).reshape(1, -1))) pointing_lon = self.pointing_center[-1, 0] pointing_lat = self.pointing_center[-1, 1] if self.skycoords == "radec": if self.pointing_coords == "hadec": if lst is not None: pointing_lon = lst - self.pointing_center[-1, 0] pointing_lat = self.pointing_center[-1, 1] else: raise ValueError( "LST must be provided. Sky coordinates are in RA-Dec format while pointing center is in HA-Dec format." ) elif self.pointing_coords == "altaz": pointing_lonlat = lst - GEOM.altaz2hadec(self.pointing_center[-1, :], self.latitude, units="degrees") pointing_lon = pointing_lonlat[0] pointing_lat = pointing_lonlat[1] elif self.skycoords == "hadec": if self.pointing_coords == "radec": if lst is not None: pointing_lon = lst - self.pointing_center[-1, 0] pointing_lat = self.pointing_center[-1, 1] else: raise ValueError( "LST must be provided. Sky coordinates are in RA-Dec format while pointing center is in HA-Dec format." ) elif self.pointing_coords == "altaz": pointing_lonlat = lst - GEOM.altaz2hadec(self.pointing_center[-1, :], self.latitude, units="degrees") pointing_lon = pointing_lonlat[0] pointing_lat = pointing_lonlat[1] else: if self.pointing_coords == "radec": if lst is not None: pointing_lonlat = GEOM.hadec2altaz( NP.asarray([lst - self.pointing_center[-1, 0], self.pointing_center[-1, 1]]), self.latitude, units="degrees", ) pointing_lon = pointing_lonlat[0] pointing_lat = pointing_lonlat[1] else: raise ValueError( "LST must be provided. Sky coordinates are in Alt-Az format while pointing center is in RA-Dec format." ) elif self.pointing_coords == "hadec": pointing_lonlat = GEOM.hadec2altaz(self.pointing_center, self.latitude, units="degrees") pointing_lon = pointing_lonlat[0] pointing_lat = pointing_lonlat[1] pointing_phase = 0.0 baseline_in_local_frame = self.baseline if self.baseline_coords == "equatorial": baseline_in_local_frame = GEOM.xyz2enu(self.baseline, self.latitude, "degrees") ptmp = self.pointing_center[-1, :] # Convert pointing center to Alt-Az coordinates if self.pointing_coords == "hadec": ptmp = GEOM.hadec2altaz(self.pointing_center[-1, :], self.latitude, units="degrees") elif self.pointing_coords == "radec": if lst is not None: ptmp = GEOM.hadec2altaz( NP.asarray([lst - self.pointing_center[-1, 0], self.pointing_center[-1, 1]]), self.latitude, units="degrees", ) else: raise ValueError( "LST must be provided. Sky coordinates are in Alt-Az format while pointing center is in RA-Dec format." ) ptmp = GEOM.altaz2dircos(ptmp, "degrees") # Convert pointing center to direction cosine coordinates pointing_phase = ( 2.0 * NP.pi * NP.dot(baseline_in_local_frame.reshape(1, -1), ptmp.reshape(-1, 1)) * self.channels.reshape(1, -1) / FCNST.c ) if fov_radius is None: fov_radius = 90.0 # PDB.set_trace() m1, m2, d12 = GEOM.spherematch( pointing_lon, pointing_lat, skymodel.catalog.location[:, 0], skymodel.catalog.location[:, 1], fov_radius, maxmatches=0, ) # if fov_radius is not None: # m1, m2, d12 = GEOM.spherematch(pointing_lon, pointing_lat, skymodel.catalog.location[:,0], skymodel.catalog.location[:,1], fov_radius, maxmatches=0) # else: # m1 = [0] * skymodel.catalog.location.shape[0] # m2 = xrange(skymodel.catalog.location.shape[0]) # d12 = GEOM.sphdist(NP.empty(skymodel.catalog.shape[0]).fill(pointing_lon), NP.empty(skymodel.catalog.shape[0]).fill(pointing_lat), skymodel.catalog.location[:,0], skymodel.catalog.location[:,1]) if len(d12) != 0: pb = NP.empty((len(d12), len(self.channels))) fluxes = NP.empty((len(d12), len(self.channels))) coords_str = self.skycoords if self.skycoords == "radec": coords_str = "altaz" source_positions = GEOM.hadec2altaz( NP.hstack( ( NP.asarray(lst - skymodel.catalog.location[m2, 0]).reshape(-1, 1), skymodel.catalog.location[m2, 1].reshape(-1, 1), ) ), self.latitude, "degrees", ) for i in xrange(len(self.channels)): # pb[:,i] = PB.primary_beam_generator(d12, self.channels[i]/1.0e9, 'degrees', self.telescope) pb[:, i] = PB.primary_beam_generator( source_positions, self.channels[i] / 1.0e9, "altaz", self.telescope ) fluxes[:, i] = ( skymodel.catalog.flux_density[m2] * (self.channels[i] / skymodel.catalog.frequency) ** skymodel.catalog.spectral_index[m2] ) geometric_delays = DLY.geometric_delay( baseline_in_local_frame, source_positions, altaz=(coords_str == "altaz"), hadec=(coords_str == "hadec"), latitude=self.latitude, ) self.geometric_delays = self.geometric_delays + [geometric_delays.reshape(len(source_positions))] phase_matrix = 2.0 * NP.pi * NP.repeat( geometric_delays.reshape(-1, 1), len(self.channels), axis=1 ) * NP.repeat(self.channels.reshape(1, -1), len(d12), axis=0) - NP.repeat(pointing_phase, len(d12), axis=0) skyvis = NP.sum( pb * fluxes * NP.repeat(NP.asarray(bandpass).reshape(1, -1), len(d12), axis=0) * NP.exp(-1j * phase_matrix), axis=0, ) if fov_radius is not None: self.obs_catalog_indices = self.obs_catalog_indices + [m2] # self.obs_catalog = self.obs_catalog + [skymodel.catalog.subset(m2)] else: print "No sources found in the catalog within matching radius. Simply populating the observed visibilities with noise." skyvis = NP.zeros((1, len(self.channels))) if self.timestamp == []: self.skyvis_freq = skyvis.reshape(1, -1) self.vis_noise_freq = self.vis_rms_freq[-1] * ( NP.random.randn(len(self.channels)).reshape(1, -1) + 1j * NP.random.randn(len(self.channels)).reshape(1, -1) ) self.vis_freq = self.skyvis_freq + self.vis_noise_freq else: self.skyvis_freq = NP.vstack((self.skyvis_freq, skyvis.reshape(1, -1))) self.vis_noise_freq = NP.vstack( ( self.vis_noise_freq, self.vis_rms_freq[-1] * ( NP.random.randn(len(self.channels)).reshape(1, -1) + 1j * NP.random.randn(len(self.channels)).reshape(1, -1) ), ) ) self.vis_freq = NP.vstack( (self.vis_freq, (self.skyvis_freq[-1, :] + self.vis_noise_freq[-1, :]).reshape(1, -1)) ) self.timestamp = self.timestamp + [timestamp]
roi_sector_altaz = NP.asarray(NP.where(NP.logical_or(NP.logical_and(az[roi_altaz] >= -0.5*180.0/n_sky_sectors + sky_sector*180.0/n_sky_sectors, az[roi_altaz] < -0.5*180.0/n_sky_sectors + (sky_sector+1)*180.0/n_sky_sectors), NP.logical_and(az[roi_altaz] >= 180.0 - 0.5*180.0/n_sky_sectors + sky_sector*180.0/n_sky_sectors, az[roi_altaz] < 180.0 - 0.5*180.0/n_sky_sectors + (sky_sector+1)*180.0/n_sky_sectors)))).ravel() pb = NP.empty(xvect.size) pb.fill(NP.nan) bd = NP.empty(xvect.size) bd.fill(NP.nan) pb[roi_altaz] = PB.primary_beam_generator(altaz[roi_altaz,:], freq, telescope=telescope, skyunits='altaz', freq_scale='Hz', pointing_center=fhd_obsid_pointing_altaz) # bd[roi_altaz] = backdrop.ravel()[roi_altaz] # pb[roi_altaz[roi_sector_altaz]] = PB.primary_beam_generator(altaz[roi_altaz[roi_sector_altaz],:], freq, telescope=telescope, skyunits='altaz', freq_scale='Hz', phase_center=fhd_obsid_pointing_altaz) bd[roi_altaz[roi_sector_altaz]] = backdrop.ravel()[roi_altaz[roi_sector_altaz]] overlay['pbeam'] = pb overlay['backdrop'] = bd overlay['roi_obj_inds'] = roi_altaz overlay['roi_sector_inds'] = roi_altaz[roi_sector_altaz] overlay['delay_map'] = NP.empty((n_bins_baseline_orientation, xvect.size)) overlay['delay_map'].fill(NP.nan) overlay['delay_map'][:,roi_altaz] = (DLY.geometric_delay(cardinal_bl, altaz[roi_altaz,:], altaz=True, dircos=False, hadec=False, latitude=latitude)-DLY.geometric_delay(cardinal_bl, pc, altaz=False, dircos=True, hadec=False, latitude=latitude)).T if use_CSM or use_SUMSS or use_NVSS or use_PS: src_hadec = NP.hstack(((fhd_lst-ctlgobj.location[:,0]).reshape(-1,1), ctlgobj.location[:,1].reshape(-1,1))) src_altaz = GEOM.hadec2altaz(src_hadec, latitude, units='degrees') roi_src_altaz = NP.asarray(NP.where(src_altaz[:,0] >= 0.0)).ravel() roi_pbeam = PB.primary_beam_generator(src_altaz[roi_src_altaz,:], freq, telescope=telescope, skyunits='altaz', freq_scale='Hz', pointing_center=fhd_obsid_pointing_altaz) overlay['src_ind'] = roi_src_altaz overlay['pbeam_on_src'] = roi_pbeam.ravel() # delay_envelope = DLY.delay_envelope(cardinal_bl, dircos[roi_altaz,:]) # overlay['delay_map'][:,roi_altaz] = (DLY.geometric_delay(cardinal_bl, altaz[roi_altaz,:], altaz=True, dircos=False, hadec=False, latitude=latitude)-DLY.geometric_delay(cardinal_bl, fhd_obsid_pointing_altaz, altaz=True, dircos=False, hadec=False, latitude=latitude)).T # roi_obj_inds += [roi_altaz] elif backdrop_coords == 'dircos': havect = fhd_lst - ra_deg fg_altaz = GEOM.hadec2altaz(NP.hstack((havect.reshape(-1,1),dec_deg.reshape(-1,1))), latitude, units='degrees') fg_dircos = GEOM.altaz2dircos(fg_altaz, units='degrees')
pointing_center=fhd_obsid_pointing_altaz) # bd[roi_altaz] = backdrop.ravel()[roi_altaz] # pb[roi_altaz[roi_sector_altaz]] = PB.primary_beam_generator(altaz[roi_altaz[roi_sector_altaz],:], freq, telescope=telescope, skyunits='altaz', freq_scale='Hz', phase_center=fhd_obsid_pointing_altaz) bd[roi_altaz[roi_sector_altaz]] = backdrop.ravel()[ roi_altaz[roi_sector_altaz]] overlay['pbeam'] = pb overlay['backdrop'] = bd overlay['roi_obj_inds'] = roi_altaz overlay['roi_sector_inds'] = roi_altaz[roi_sector_altaz] overlay['delay_map'] = NP.empty( (n_bins_baseline_orientation, xvect.size)) overlay['delay_map'].fill(NP.nan) overlay['delay_map'][:, roi_altaz] = ( DLY.geometric_delay(cardinal_bl, altaz[roi_altaz, :], altaz=True, dircos=False, hadec=False, latitude=latitude) - DLY.geometric_delay(cardinal_bl, pc, altaz=False, dircos=True, hadec=False, latitude=latitude)).T if use_CSM or use_SUMSS or use_NVSS or use_PS: src_hadec = NP.hstack( ((fhd_lst - ctlgobj.location[:, 0]).reshape(-1, 1), ctlgobj.location[:, 1].reshape(-1, 1))) src_altaz = GEOM.hadec2altaz(src_hadec, latitude, units='degrees') roi_src_altaz = NP.asarray( NP.where(src_altaz[:, 0] >= 0.0)).ravel()