def load_xhip() -> Table:
"""Load the XHIP catalogue from the VizieR archive."""
print('Loading XHIP')
with open_cds_tarfile(os.path.join('vizier', 'xhip.tar.gz')) as tf:
print(' Loading main catalog')
hip_data = tf.read_gzip('main.dat', [
'HIP', 'Comp', 'RAdeg', 'DEdeg', 'Plx', 'pmRA', 'pmDE', 'e_Plx',
'Dist', 'e_Dist', 'SpType', 'RV'
],
fill_values=[('', '-1', 'Tc', 'Lc'),
('', 'NaN', 'phi')])
hip_data.add_index('HIP')
print(' Loading photometric data')
photo_data = tf.read_gzip('photo.dat', [
'HIP', 'Vmag', 'Jmag', 'Hmag', 'Kmag', 'e_Jmag', 'e_Hmag',
'e_Kmag', 'B-V', 'V-I', 'e_B-V', 'e_V-I'
])
photo_data[
'HIP'].unit = None # for some reason it is set to parsecs in the ReadMe
photo_data.add_index('HIP')
hip_data = join(hip_data, photo_data, join_type='left', keys='HIP')
print(' Loading bibliographic data')
biblio_data = tf.read_gzip('biblio.dat', ['HIP', 'HD'])
biblio_data.add_index('HIP')
return join(hip_data, biblio_data, join_type='left', keys='HIP')
def load_tyc_spec() -> Table:
"""Load the TYC2 spectral type catalogue."""
print('Loading TYC2 spectral types')
with open_cds_tarfile(os.path.join('vizier', 'tyc2spec.tar.gz')) as tf:
data = tf.read_gzip('catalog.dat', ['TYC1', 'TYC2', 'TYC3', 'SpType'])
parse_tyc_cols(data)
data.add_index('TYC')
return data
def _load_ascc_tyc_ids(filename: str) -> Table:
data = None
with open_cds_tarfile(filename) as tf:
for data_file in tf.tf:
sections = os.path.split(data_file.name)
if len(sections) != 2 or sections[0] != '.' or not sections[1].startswith('cc'):
continue
section_data = tf.read_gzip(
os.path.splitext(sections[1])[0],
['TYC1', 'TYC2', 'TYC3'],
readme_name='cc*.dat')
if data is None:
data = section_data
else:
data = vstack([data, section_data], join_type='exact')
return data
def load_tyc_hd() -> Table:
"""Load the Tycho-HD cross index."""
print('Loading TYC-HD cross index')
with open_cds_tarfile(os.path.join('vizier', 'tyc2hd.tar.gz')) as tf:
data = tf.read_gzip('tyc2_hd.dat', ['TYC1', 'TYC2', 'TYC3', 'HD'])
parse_tyc_cols(data)
err_del = np.array(TYC_HD_ERRATA['delete'] +
[a[1] for a in TYC_HD_ERRATA['add']])
data = data[np.logical_not(np.isin(data['HD'], err_del))]
err_add = Table(np.array(TYC_HD_ERRATA['add']),
names=['TYC', 'HD'],
dtype=[np.int64, np.int64])
data = vstack([data, err_add], join_type='exact')
data = unique(data.group_by('HD'), keys='TYC')
data = unique(data.group_by('TYC'), keys='HD')
return data
def load_ascc() -> Table:
"""Load ASCC from VizieR archive."""
print('Loading ASCC')
with open_cds_tarfile(os.path.join('vizier', 'ascc.tar.gz')) as tf:
data = None
for data_file in tf.tf:
sections = os.path.split(data_file.name)
if (len(sections) != 2 or sections[0] != '.'
or not sections[1].startswith('cc')):
continue
section_data = _load_ascc_section(tf,
os.path.splitext(sections[1])[0])
if data is None:
data = section_data
else:
data = vstack([data, section_data], join_type='exact')
data = unique(data.group_by(['TYC', 'd3']), keys=['TYC'])
data.rename_column('d3', 'Comp')
data.add_index('TYC')
return data
def download_gaia_hip(username: str) -> None:
"""Download HIP data from the Gaia archive."""
hip_file = os.path.join('gaia', 'gaiadr2_hip-result.csv')
if not proceed_checkfile(hip_file):
return
conesearch_file = os.path.join('gaia', 'hip2conesearch.zip')
if proceed_checkfile(conesearch_file):
download_file(conesearch_file, CONESEARCH_URL)
# the gaiadr2.hipparcos2_best_neighbour table misses a large number of HIP stars that are
# actually present, so use the mapping from Kervella et al. (2019) "Binarity of Hipparcos
# stars from Gaia pm anomaly" instead.
with open_cds_tarfile(os.path.join('vizier', 'hipgpma.tar.gz')) as tf:
hip_map = unique(tf.read_gzip('hipgpma.dat', ['HIP', 'GDR2']))
with ZipFile(conesearch_file, 'r') as csz:
with csz.open('Hipparcos2GaiaDR2coneSearch.csv', 'r') as f:
cone_map = io_ascii.read(f,
format='csv',
names=['HIP', 'GDR2', 'dist'],
include_names=['HIP', 'GDR2'])
cone_map = unique(cone_map)
hip_map = join(hip_map, cone_map, join_type='outer', keys='HIP', table_names=['pm', 'cone'])
hip_map['GDR2'] = hip_map['GDR2_pm'].filled(hip_map['GDR2_cone'])
hip_map.remove_columns(['GDR2_pm', 'GDR2_cone'])
hip_map.rename_column('HIP', 'original_ext_source_id')
hip_map.rename_column('GDR2', 'source_id')
Gaia.upload_table(upload_resource=hip_map, table_name='hipgpma')
try:
download_gaia_data('hip_id', f'user_{username}.hipgpma', hip_file)
finally:
Gaia.delete_user_table('hipgpma')
def load_tyc2specnew() -> Table:
"""Load revised spectral types."""
print("Loading revised TYC2 spectral types")
with open_cds_tarfile(os.path.join('vizier', 'tyc2specnew.tar.gz')) as tf:
data = tf.read('table2.dat', ['HIP', 'SpType1'])
return data[data['SpType1'] != '']
def load_ubvri() -> Table:
"""Load UBVRI Teff calibration from VizieR archive."""
print('Loading UBVRI calibration')
with open_cds_tarfile(os.path.join('vizier', 'ubvriteff.tar.gz')) as tf:
return tf.read_gzip('table3.dat',
['V-K', 'B-V', 'V-I', 'J-K', 'H-K', 'Teff'])
