Пример #1
0
def convert_hdf_to_visibility(f):
    """ Convert HDF root to visibility

    :param f:
    :return:
    """
    assert f.attrs['RASCIL_data_model'] == "Visibility", "Not a Visibility"
    s = f.attrs['phasecentre_coords'].split()
    ss = [float(s[0]), float(s[1])] * u.deg
    phasecentre = SkyCoord(ra=ss[0],
                           dec=ss[1],
                           frame=f.attrs['phasecentre_frame'])
    polarisation_frame = PolarisationFrame(f.attrs['polarisation_frame'])
    data = numpy.array(f['data'])
    source = str(f.attrs['source'])
    meta = ast.literal_eval(f.attrs['meta'])
    vis = Visibility(data=data,
                     polarisation_frame=polarisation_frame,
                     phasecentre=phasecentre,
                     source=source,
                     meta=meta)
    vis.configuration = convert_configuration_from_hdf(f)
    return vis
Пример #2
0
def create_visibility(config: Configuration, times: numpy.array, frequency: numpy.array,
                      channel_bandwidth, phasecentre: SkyCoord,
                      weight: float, polarisation_frame=PolarisationFrame('stokesI'),
                      integration_time=1.0,
                      zerow=False, elevation_limit=15.0 * numpy.pi / 180.0, source='unknown', meta=None) -> Visibility:
    """ Create a Visibility from Configuration, hour angles, and direction of source

    Note that we keep track of the integration time for BDA purposes

    :param config: Configuration of antennas
    :param times: hour angles in radians
    :param frequency: frequencies (Hz] [nchan]
    :param weight: weight of a single sample
    :param phasecentre: phasecentre of observation
    :param channel_bandwidth: channel bandwidths: (Hz] [nchan]
    :param integration_time: Integration time ('auto' or value in s)
    :param polarisation_frame: PolarisationFrame('stokesI')
    :return: Visibility
    """
    assert phasecentre is not None, "Must specify phase centre"
    
    if polarisation_frame is None:
        polarisation_frame = correlate_polarisation(config.receptor_frame)
    
    latitude = config.location.geodetic[1].to('rad').value

    nch = len(frequency)
    ants_xyz = config.data['xyz']
    nants = len(config.data['names'])
    nbaselines = int(nants * (nants - 1) / 2)
    ntimes = 0
    for iha, ha in enumerate(times):
    
        # Calculate the positions of the antennas as seen for this hour angle
        # and declination
        _, elevation = hadec_to_azel(ha, phasecentre.dec.rad, latitude)
        if elevation_limit is None or (elevation > elevation_limit):
            ntimes +=1

    npol = polarisation_frame.npol
    nrows = nbaselines * ntimes * nch
    nrowsperintegration = nbaselines * nch
    rvis = numpy.zeros([nrows, npol], dtype='complex')
    rweight = weight * numpy.ones([nrows, npol])
    rtimes = numpy.zeros([nrows])
    rfrequency = numpy.zeros([nrows])
    rchannel_bandwidth = numpy.zeros([nrows])
    rantenna1 = numpy.zeros([nrows], dtype='int')
    rantenna2 = numpy.zeros([nrows], dtype='int')
    ruvw = numpy.zeros([nrows, 3])
    
    n_flagged = 0

    # Do each hour angle in turn
    row = 0
    for iha, ha in enumerate(times):
        
        # Calculate the positions of the antennas as seen for this hour angle
        # and declination
        _, elevation = hadec_to_azel(ha, phasecentre.dec.rad, latitude)
        if elevation_limit is None or (elevation > elevation_limit):
            rtimes[row:row + nrowsperintegration] = ha * 43200.0 / numpy.pi

            # TODO: optimise loop
            # Loop over all pairs of antennas. Note that a2>a1
            ant_pos = xyz_to_uvw(ants_xyz, ha, phasecentre.dec.rad)
            for a1 in range(nants):
                for a2 in range(a1 + 1, nants):
                    rantenna1[row:row + nch] = a1
                    rantenna2[row:row + nch] = a2
                    rweight[row:row+nch,...] = 1.0
                
                    # Loop over all frequencies and polarisations
                    for ch in range(nch):
                        # noinspection PyUnresolvedReferences
                        k = frequency[ch] / constants.c.value
                        ruvw[row, :] = (ant_pos[a2, :] - ant_pos[a1, :]) * k
                        rfrequency[row] = frequency[ch]
                        rchannel_bandwidth[row] = channel_bandwidth[ch]
                        row += 1
    
    if zerow:
        ruvw[..., 2] = 0.0
    assert row == nrows
    rintegration_time = numpy.full_like(rtimes, integration_time)
    vis = Visibility(uvw=ruvw, time=rtimes, antenna1=rantenna1, antenna2=rantenna2,
                     frequency=rfrequency, vis=rvis,
                     weight=rweight, imaging_weight=rweight,
                     integration_time=rintegration_time, channel_bandwidth=rchannel_bandwidth,
                     polarisation_frame=polarisation_frame, source=source, meta=meta)
    vis.phasecentre = phasecentre
    vis.configuration = config
    log.info("create_visibility: %s" % (vis_summary(vis)))
    assert isinstance(vis, Visibility), "vis is not a Visibility: %r" % vis
    if elevation_limit is not None:
        log.info('create_visibility: flagged %d/%d visibilities below elevation limit %f (rad)' %
                (n_flagged, vis.nvis, elevation_limit))
    else:
        log.info('create_visibility: created %d visibilities' % (vis.nvis))

    return vis