mirror of
https://github.com/AllenDowney/AstronomicalData.git
synced 2026-07-28 14:47:02 -07:00
Revisions after day 1
This commit is contained in:
Allen Downey
+243
-253
@@ -138,7 +138,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 1,
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||||
"metadata": {
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||||
"tags": [
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"remove-cell"
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@@ -248,107 +248,107 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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||||
"external.external.apassdr9\n",
|
||||
"external.external.gaiadr2_geometric_distance\n",
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||||
"external.external.galex_ais\n",
|
||||
"external.external.ravedr5_com\n",
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||||
"external.external.ravedr5_dr5\n",
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||||
"external.external.ravedr5_gra\n",
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||||
"external.external.ravedr5_on\n",
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||||
"external.external.sdssdr13_photoprimary\n",
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||||
"external.external.skymapperdr1_master\n",
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||||
"external.external.tmass_xsc\n",
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||||
"public.public.hipparcos\n",
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||||
"public.public.hipparcos_newreduction\n",
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||||
"public.public.hubble_sc\n",
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||||
"public.public.igsl_source\n",
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||||
"public.public.igsl_source_catalog_ids\n",
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||||
"public.public.tycho2\n",
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||||
"public.public.dual\n",
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||||
"tap_config.tap_config.coord_sys\n",
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||||
"tap_config.tap_config.properties\n",
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||||
"tap_schema.tap_schema.columns\n",
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||||
"tap_schema.tap_schema.key_columns\n",
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||||
"tap_schema.tap_schema.keys\n",
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||||
"tap_schema.tap_schema.schemas\n",
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||||
"tap_schema.tap_schema.tables\n",
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||||
"gaiadr1.gaiadr1.aux_qso_icrf2_match\n",
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||||
"gaiadr1.gaiadr1.ext_phot_zero_point\n",
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||||
"gaiadr1.gaiadr1.allwise_best_neighbour\n",
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||||
"gaiadr1.gaiadr1.allwise_neighbourhood\n",
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||||
"gaiadr1.gaiadr1.gsc23_best_neighbour\n",
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||||
"gaiadr1.gaiadr1.gsc23_neighbourhood\n",
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||||
"gaiadr1.gaiadr1.ppmxl_best_neighbour\n",
|
||||
"gaiadr1.gaiadr1.ppmxl_neighbourhood\n",
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||||
"gaiadr1.gaiadr1.sdss_dr9_best_neighbour\n",
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||||
"gaiadr1.gaiadr1.sdss_dr9_neighbourhood\n",
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||||
"gaiadr1.gaiadr1.tmass_best_neighbour\n",
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||||
"gaiadr1.gaiadr1.tmass_neighbourhood\n",
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||||
"gaiadr1.gaiadr1.ucac4_best_neighbour\n",
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||||
"gaiadr1.gaiadr1.ucac4_neighbourhood\n",
|
||||
"gaiadr1.gaiadr1.urat1_best_neighbour\n",
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||||
"gaiadr1.gaiadr1.urat1_neighbourhood\n",
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||||
"gaiadr1.gaiadr1.cepheid\n",
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||||
"gaiadr1.gaiadr1.phot_variable_time_series_gfov\n",
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||||
"gaiadr1.gaiadr1.phot_variable_time_series_gfov_statistical_parameters\n",
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||||
"gaiadr1.gaiadr1.rrlyrae\n",
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||||
"gaiadr1.gaiadr1.variable_summary\n",
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||||
"gaiadr1.gaiadr1.allwise_original_valid\n",
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||||
"gaiadr1.gaiadr1.gsc23_original_valid\n",
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||||
"gaiadr1.gaiadr1.ppmxl_original_valid\n",
|
||||
"gaiadr1.gaiadr1.sdssdr9_original_valid\n",
|
||||
"gaiadr1.gaiadr1.tmass_original_valid\n",
|
||||
"gaiadr1.gaiadr1.ucac4_original_valid\n",
|
||||
"gaiadr1.gaiadr1.urat1_original_valid\n",
|
||||
"gaiadr1.gaiadr1.gaia_source\n",
|
||||
"gaiadr1.gaiadr1.tgas_source\n",
|
||||
"gaiadr2.gaiadr2.aux_allwise_agn_gdr2_cross_id\n",
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||||
"gaiadr2.gaiadr2.aux_iers_gdr2_cross_id\n",
|
||||
"gaiadr2.gaiadr2.aux_sso_orbit_residuals\n",
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||||
"gaiadr2.gaiadr2.aux_sso_orbits\n",
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||||
"gaiadr2.gaiadr2.dr1_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.allwise_best_neighbour\n",
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||||
"gaiadr2.gaiadr2.allwise_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.apassdr9_best_neighbour\n",
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||||
"gaiadr2.gaiadr2.apassdr9_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.gsc23_best_neighbour\n",
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||||
"gaiadr2.gaiadr2.gsc23_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.hipparcos2_best_neighbour\n",
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||||
"gaiadr2.gaiadr2.hipparcos2_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.panstarrs1_best_neighbour\n",
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||||
"gaiadr2.gaiadr2.panstarrs1_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.ppmxl_best_neighbour\n",
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||||
"gaiadr2.gaiadr2.ppmxl_neighbourhood\n",
|
||||
"gaiadr2.gaiadr2.ravedr5_best_neighbour\n",
|
||||
"gaiadr2.gaiadr2.ravedr5_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.sdssdr9_best_neighbour\n",
|
||||
"gaiadr2.gaiadr2.sdssdr9_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.tmass_best_neighbour\n",
|
||||
"gaiadr2.gaiadr2.tmass_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.tycho2_best_neighbour\n",
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||||
"gaiadr2.gaiadr2.tycho2_neighbourhood\n",
|
||||
"gaiadr2.gaiadr2.urat1_best_neighbour\n",
|
||||
"gaiadr2.gaiadr2.urat1_neighbourhood\n",
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||||
"gaiadr2.gaiadr2.sso_observation\n",
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||||
"gaiadr2.gaiadr2.sso_source\n",
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||||
"gaiadr2.gaiadr2.vari_cepheid\n",
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||||
"gaiadr2.gaiadr2.vari_classifier_class_definition\n",
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||||
"gaiadr2.gaiadr2.vari_classifier_definition\n",
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||||
"gaiadr2.gaiadr2.vari_classifier_result\n",
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||||
"gaiadr2.gaiadr2.vari_long_period_variable\n",
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||||
"gaiadr2.gaiadr2.vari_rotation_modulation\n",
|
||||
"gaiadr2.gaiadr2.vari_rrlyrae\n",
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||||
"gaiadr2.gaiadr2.vari_short_timescale\n",
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||||
"gaiadr2.gaiadr2.vari_time_series_statistics\n",
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||||
"gaiadr2.gaiadr2.panstarrs1_original_valid\n",
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||||
"gaiadr2.gaiadr2.gaia_source\n",
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||||
"gaiadr2.gaiadr2.ruwe\n"
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||||
"external.apassdr9\n",
|
||||
"external.gaiadr2_geometric_distance\n",
|
||||
"external.galex_ais\n",
|
||||
"external.ravedr5_com\n",
|
||||
"external.ravedr5_dr5\n",
|
||||
"external.ravedr5_gra\n",
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||||
"external.ravedr5_on\n",
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||||
"external.sdssdr13_photoprimary\n",
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||||
"external.skymapperdr1_master\n",
|
||||
"external.tmass_xsc\n",
|
||||
"public.hipparcos\n",
|
||||
"public.hipparcos_newreduction\n",
|
||||
"public.hubble_sc\n",
|
||||
"public.igsl_source\n",
|
||||
"public.igsl_source_catalog_ids\n",
|
||||
"public.tycho2\n",
|
||||
"public.dual\n",
|
||||
"tap_config.coord_sys\n",
|
||||
"tap_config.properties\n",
|
||||
"tap_schema.columns\n",
|
||||
"tap_schema.key_columns\n",
|
||||
"tap_schema.keys\n",
|
||||
"tap_schema.schemas\n",
|
||||
"tap_schema.tables\n",
|
||||
"gaiadr1.aux_qso_icrf2_match\n",
|
||||
"gaiadr1.ext_phot_zero_point\n",
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||||
"gaiadr1.allwise_best_neighbour\n",
|
||||
"gaiadr1.allwise_neighbourhood\n",
|
||||
"gaiadr1.gsc23_best_neighbour\n",
|
||||
"gaiadr1.gsc23_neighbourhood\n",
|
||||
"gaiadr1.ppmxl_best_neighbour\n",
|
||||
"gaiadr1.ppmxl_neighbourhood\n",
|
||||
"gaiadr1.sdss_dr9_best_neighbour\n",
|
||||
"gaiadr1.sdss_dr9_neighbourhood\n",
|
||||
"gaiadr1.tmass_best_neighbour\n",
|
||||
"gaiadr1.tmass_neighbourhood\n",
|
||||
"gaiadr1.ucac4_best_neighbour\n",
|
||||
"gaiadr1.ucac4_neighbourhood\n",
|
||||
"gaiadr1.urat1_best_neighbour\n",
|
||||
"gaiadr1.urat1_neighbourhood\n",
|
||||
"gaiadr1.cepheid\n",
|
||||
"gaiadr1.phot_variable_time_series_gfov\n",
|
||||
"gaiadr1.phot_variable_time_series_gfov_statistical_parameters\n",
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||||
"gaiadr1.rrlyrae\n",
|
||||
"gaiadr1.variable_summary\n",
|
||||
"gaiadr1.allwise_original_valid\n",
|
||||
"gaiadr1.gsc23_original_valid\n",
|
||||
"gaiadr1.ppmxl_original_valid\n",
|
||||
"gaiadr1.sdssdr9_original_valid\n",
|
||||
"gaiadr1.tmass_original_valid\n",
|
||||
"gaiadr1.ucac4_original_valid\n",
|
||||
"gaiadr1.urat1_original_valid\n",
|
||||
"gaiadr1.gaia_source\n",
|
||||
"gaiadr1.tgas_source\n",
|
||||
"gaiadr2.aux_allwise_agn_gdr2_cross_id\n",
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||||
"gaiadr2.aux_iers_gdr2_cross_id\n",
|
||||
"gaiadr2.aux_sso_orbit_residuals\n",
|
||||
"gaiadr2.aux_sso_orbits\n",
|
||||
"gaiadr2.dr1_neighbourhood\n",
|
||||
"gaiadr2.allwise_best_neighbour\n",
|
||||
"gaiadr2.allwise_neighbourhood\n",
|
||||
"gaiadr2.apassdr9_best_neighbour\n",
|
||||
"gaiadr2.apassdr9_neighbourhood\n",
|
||||
"gaiadr2.gsc23_best_neighbour\n",
|
||||
"gaiadr2.gsc23_neighbourhood\n",
|
||||
"gaiadr2.hipparcos2_best_neighbour\n",
|
||||
"gaiadr2.hipparcos2_neighbourhood\n",
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||||
"gaiadr2.panstarrs1_best_neighbour\n",
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||||
"gaiadr2.panstarrs1_neighbourhood\n",
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||||
"gaiadr2.ppmxl_best_neighbour\n",
|
||||
"gaiadr2.ppmxl_neighbourhood\n",
|
||||
"gaiadr2.ravedr5_best_neighbour\n",
|
||||
"gaiadr2.ravedr5_neighbourhood\n",
|
||||
"gaiadr2.sdssdr9_best_neighbour\n",
|
||||
"gaiadr2.sdssdr9_neighbourhood\n",
|
||||
"gaiadr2.tmass_best_neighbour\n",
|
||||
"gaiadr2.tmass_neighbourhood\n",
|
||||
"gaiadr2.tycho2_best_neighbour\n",
|
||||
"gaiadr2.tycho2_neighbourhood\n",
|
||||
"gaiadr2.urat1_best_neighbour\n",
|
||||
"gaiadr2.urat1_neighbourhood\n",
|
||||
"gaiadr2.sso_observation\n",
|
||||
"gaiadr2.sso_source\n",
|
||||
"gaiadr2.vari_cepheid\n",
|
||||
"gaiadr2.vari_classifier_class_definition\n",
|
||||
"gaiadr2.vari_classifier_definition\n",
|
||||
"gaiadr2.vari_classifier_result\n",
|
||||
"gaiadr2.vari_long_period_variable\n",
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"gaiadr2.vari_rotation_modulation\n",
|
||||
"gaiadr2.vari_rrlyrae\n",
|
||||
"gaiadr2.vari_short_timescale\n",
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"gaiadr2.vari_time_series_statistics\n",
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"gaiadr2.panstarrs1_original_valid\n",
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||||
"gaiadr2.gaia_source\n",
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"gaiadr2.ruwe\n"
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||||
]
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||||
}
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],
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"source": [
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"for table in (tables):\n",
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" print(table.get_qualified_name())"
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"for table in tables:\n",
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" print(table.name)"
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]
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},
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{
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@@ -368,7 +368,7 @@
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},
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||||
{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 5,
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"metadata": {},
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||||
"outputs": [
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||||
{
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||||
@@ -383,10 +383,10 @@
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{
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||||
"data": {
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||||
"text/plain": [
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||||
"<astroquery.utils.tap.model.taptable.TapTableMeta at 0x7fb565288520>"
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||||
"<astroquery.utils.tap.model.taptable.TapTableMeta at 0x7f10a2326820>"
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]
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},
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||||
"execution_count": 7,
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -432,20 +432,12 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Notice one gotcha: in the list of table names, this table appears as `gaiadr2.gaiadr2.gaia_source`, but when we load the metadata, we refer to it as `gaiadr2.gaia_source`.\n",
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"\n",
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"**Exercise:** Go back and try\n",
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"\n",
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"```\n",
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"meta = Gaia.load_table('gaiadr2.gaiadr2.gaia_source')\n",
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"```\n",
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||||
"\n",
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||||
"What happens? Is the error message helpful? If you had not made this error deliberately, would you have been able to figure it out?"
|
||||
"In `meta`, the name of the table appears as `gaiadr2.gaiadr2.gaia_source`, which is the \"qualified name\", but when we load the metadata, we refer to it as `gaiadr2.gaia_source`."
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]
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||||
},
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||||
{
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||||
"cell_type": "code",
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||||
"execution_count": null,
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||||
"execution_count": 7,
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||||
"metadata": {
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"tags": [
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"hide-cell"
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@@ -479,7 +471,7 @@
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||||
},
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||||
{
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||||
"cell_type": "code",
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"execution_count": 7,
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||||
"execution_count": 8,
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||||
"metadata": {
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||||
"tags": [
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"hide-output"
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@@ -608,14 +600,12 @@
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"cell_type": "markdown",
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||||
"metadata": {},
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||||
"source": [
|
||||
"**Exercise:** One of the other tables we'll use is `gaiadr2.gaiadr2.panstarrs1_original_valid`. Use `load_table` to get the metadata for this table. How many columns are there and what are their names?\n",
|
||||
"\n",
|
||||
"Hint: Remember the gotcha we mentioned earlier."
|
||||
"**Exercise:** One of the other tables we'll use is `gaiadr2.panstarrs1_original_valid`. Use `load_table` to get the metadata for this table. How many columns are there and what are their names?"
|
||||
]
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||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"execution_count": 9,
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||||
"metadata": {
|
||||
"scrolled": true,
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||||
"tags": [
|
||||
@@ -710,7 +700,7 @@
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||||
},
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||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": 10,
|
||||
"metadata": {
|
||||
"tags": [
|
||||
"hide-cell"
|
||||
@@ -772,7 +762,7 @@
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||||
},
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||||
{
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||||
"cell_type": "code",
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||||
"execution_count": 10,
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||||
"execution_count": 11,
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||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -810,16 +800,16 @@
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||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"execution_count": 12,
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||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<astroquery.utils.tap.model.job.Job at 0x7f9222e9cb20>"
|
||||
"<astroquery.utils.tap.model.job.Job at 0x7f10a2344250>"
|
||||
]
|
||||
},
|
||||
"execution_count": 11,
|
||||
"execution_count": 12,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -840,7 +830,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
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||||
"execution_count": 12,
|
||||
"execution_count": 13,
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||||
"metadata": {},
|
||||
"outputs": [
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||||
{
|
||||
@@ -848,17 +838,17 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"<Table length=10>\n",
|
||||
" name dtype unit description \n",
|
||||
"--------- ------- ---- ------------------------------------------------------------------\n",
|
||||
"source_id int64 Unique source identifier (unique within a particular Data Release)\n",
|
||||
"ref_epoch float64 yr Reference epoch\n",
|
||||
" ra float64 deg Right ascension\n",
|
||||
" dec float64 deg Declination\n",
|
||||
" parallax float64 mas Parallax\n",
|
||||
" name dtype unit description n_bad\n",
|
||||
"--------- ------- ---- ------------------------------------------------------------------ -----\n",
|
||||
"source_id int64 Unique source identifier (unique within a particular Data Release) 0\n",
|
||||
"ref_epoch float64 yr Reference epoch 0\n",
|
||||
" ra float64 deg Right ascension 0\n",
|
||||
" dec float64 deg Declination 0\n",
|
||||
" parallax float64 mas Parallax 2\n",
|
||||
"Jobid: None\n",
|
||||
"Phase: COMPLETED\n",
|
||||
"Owner: None\n",
|
||||
"Output file: sync_20201005090721.xml.gz\n",
|
||||
"Output file: sync_20201117092213.xml.gz\n",
|
||||
"Results: None\n"
|
||||
]
|
||||
}
|
||||
@@ -878,7 +868,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
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||||
"execution_count": 14,
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||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -887,7 +877,7 @@
|
||||
"astropy.table.table.Table"
|
||||
]
|
||||
},
|
||||
"execution_count": 13,
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -901,7 +891,7 @@
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"**Optional detail:** Why is `table` repeated three times? The first is the name of the module, the second is the name of the submodule, and the third is the name of the class. Most of the time we only care about the last one. It's like the Linnean name for gorilla, which is *Gorilla Gorilla Gorilla*."
|
||||
"**Optional detail:** Why is `table` repeated three times? The first is the name of the module, the second is the name of the submodule, and the third is the name of the class. Most of the time we only care about the last one. It's like the Linnean name for gorilla, which is *Gorilla gorilla gorilla*."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -919,27 +909,27 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"execution_count": 15,
|
||||
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|
||||
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|
||||
{
|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
@@ -948,19 +938,19 @@
|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
@@ -1010,7 +1000,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
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|
||||
"execution_count": 16,
|
||||
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|
||||
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|
||||
"source": [
|
||||
@@ -1034,7 +1024,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
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|
||||
"execution_count": 17,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1050,10 +1040,10 @@
|
||||
" ra float64 deg Right ascension\n",
|
||||
" dec float64 deg Declination\n",
|
||||
" parallax float64 mas Parallax\n",
|
||||
"Jobid: 1601903242219O\n",
|
||||
"Jobid: 1605622934969O\n",
|
||||
"Phase: COMPLETED\n",
|
||||
"Owner: None\n",
|
||||
"Output file: async_20201005090722.vot\n",
|
||||
"Output file: async_20201117092215.vot\n",
|
||||
"Results: None\n"
|
||||
]
|
||||
}
|
||||
@@ -1072,68 +1062,68 @@
|
||||
},
|
||||
{
|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
"text/plain": [
|
||||
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|
||||
" source_id ref_epoch ... dec parallax \n",
|
||||
" yr ... deg mas \n",
|
||||
" int64 float64 ... float64 float64 \n",
|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
"4467719058265781248 2015.5 ... 0.8205551921782785 0.3733943917490343"
|
||||
" source_id ref_epoch ... dec parallax \n",
|
||||
" yr ... deg mas \n",
|
||||
" int64 float64 ... float64 float64 \n",
|
||||
"------------------- --------- ... ------------------- --------------------\n",
|
||||
"2029534160912857984 2015.5 ... 29.464242405581903 0.26719312673637957\n",
|
||||
"2029527563843522688 2015.5 ... 29.297302003155878 -0.5339115955037064\n",
|
||||
"2029530175194496768 2015.5 ... 29.424817571056252 0.4993858623581147\n",
|
||||
"2029559174807808512 2015.5 ... 29.568937428891136 0.07378124688708597\n",
|
||||
"2029534023485750400 2015.5 ... 29.463904128839516 -0.6248984748555095\n",
|
||||
"2029552990053470592 2015.5 ... 29.701315238258985 -0.5113424569489686\n",
|
||||
"2029545430912236672 2015.5 ... 29.482001000231968 0.049122831032945236\n",
|
||||
"2029551375154168192 2015.5 ... 29.629231848937902 -0.4273623555622012\n",
|
||||
"2029537184581680000 2015.5 ... 29.481945977423116 0.686631849492751\n",
|
||||
" ... ... ... ... ...\n",
|
||||
"5351023617248935296 2015.5 ... -57.45843664435045 -0.12712245925716417\n",
|
||||
"5351013034403261056 2015.5 ... -57.57725086313733 -0.04737425207265826\n",
|
||||
"6230089722024056576 2015.5 ... -23.856129423698576 0.40215405335632315\n",
|
||||
"6229981248329591552 2015.5 ... -24.520741795344115 -0.1711128865194354\n",
|
||||
"6230163114425691904 2015.5 ... -23.502746567943603 -0.0983885985018888\n",
|
||||
"6229932491861252352 2015.5 ... -24.640708681077328 0.4328661904699682\n",
|
||||
"6230016879379130240 2015.5 ... -24.2061244892915 0.3925985611610745\n",
|
||||
"6230073366787772800 2015.5 ... -23.959139666294128 0.48625897986634425\n",
|
||||
"6230145075563001728 2015.5 ... -23.58099620047661 0.4002784743473182\n",
|
||||
"6230167031435813760 2015.5 ... -23.336372421616733 -0.8736321545140885"
|
||||
]
|
||||
},
|
||||
"execution_count": 17,
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1210,7 +1200,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"execution_count": 19,
|
||||
"metadata": {
|
||||
"tags": [
|
||||
"hide-cell"
|
||||
@@ -1232,7 +1222,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"execution_count": 20,
|
||||
"metadata": {
|
||||
"tags": [
|
||||
"hide-cell"
|
||||
@@ -1273,16 +1263,16 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 20,
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(None, '1601903242219O')"
|
||||
"(None, '1605622934969O')"
|
||||
]
|
||||
},
|
||||
"execution_count": 20,
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1300,7 +1290,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"execution_count": 22,
|
||||
"metadata": {
|
||||
"scrolled": true
|
||||
},
|
||||
@@ -1309,7 +1299,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Removed jobs: '['1601903242219O']'.\n"
|
||||
"Removed jobs: '['1605622934969O']'.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1342,7 +1332,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1358,7 +1348,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"execution_count": 24,
|
||||
"metadata": {},
|
||||
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|
||||
"source": [
|
||||
@@ -1381,7 +1371,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 24,
|
||||
"execution_count": 25,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1397,7 +1387,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 25,
|
||||
"execution_count": 26,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1406,7 +1396,7 @@
|
||||
"'SELECT TOP 10 \\nsource_id, ra, dec, pmra, pmdec, parallax, parallax_error, radial_velocity\\nFROM gaiadr2.gaia_source\\nWHERE parallax < 1\\n AND bp_rp BETWEEN -0.75 AND 2\\n'"
|
||||
]
|
||||
},
|
||||
"execution_count": 25,
|
||||
"execution_count": 26,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1424,7 +1414,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 26,
|
||||
"execution_count": 27,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1455,7 +1445,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 27,
|
||||
"execution_count": 28,
|
||||
"metadata": {
|
||||
"scrolled": true
|
||||
},
|
||||
@@ -1478,7 +1468,7 @@
|
||||
"Jobid: None\n",
|
||||
"Phase: COMPLETED\n",
|
||||
"Owner: None\n",
|
||||
"Output file: sync_20201005090726.xml.gz\n",
|
||||
"Output file: sync_20201117092220.xml.gz\n",
|
||||
"Results: None\n"
|
||||
]
|
||||
}
|
||||
@@ -1490,48 +1480,48 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"execution_count": 29,
|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
"<thead><tr><th>source_id</th><th>ra</th><th>dec</th><th>pmra</th><th>pmdec</th><th>parallax</th><th>parallax_error</th><th>radial_velocity</th></tr></thead>\n",
|
||||
"<thead><tr><th></th><th>deg</th><th>deg</th><th>mas / yr</th><th>mas / yr</th><th>mas</th><th>mas</th><th>km / s</th></tr></thead>\n",
|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
],
|
||||
"text/plain": [
|
||||
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|
||||
" source_id ra ... parallax_error radial_velocity\n",
|
||||
" deg ... mas km / s \n",
|
||||
" int64 float64 ... float64 float64 \n",
|
||||
"------------------- ------------------ ... ------------------ ---------------\n",
|
||||
"4467710915011802624 269.9680969307347 ... 0.470352406647465 --\n",
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
"4467722326741572352 270.87431291888504 ... 0.1660452431882023 --"
|
||||
" source_id ra ... parallax_error radial_velocity\n",
|
||||
" deg ... mas km / s \n",
|
||||
" int64 float64 ... float64 float64 \n",
|
||||
"------------------- ------------------ ... ------------------- ---------------\n",
|
||||
"6230144152145537152 221.00484394613122 ... 0.1288335146382159 --\n",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
]
|
||||
},
|
||||
"execution_count": 28,
|
||||
"execution_count": 29,
|
||||
"metadata": {},
|
||||
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|
||||
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|
||||
@@ -1559,7 +1549,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
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|
||||
"execution_count": 30,
|
||||
"metadata": {
|
||||
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|
||||
"hide-cell"
|
||||
@@ -1579,7 +1569,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"execution_count": 31,
|
||||
"metadata": {
|
||||
"tags": [
|
||||
"hide-cell"
|
||||
@@ -1591,10 +1581,10 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"SELECT TOP 10\n",
|
||||
"source_id, ra, dec, pmra, pmdec, parallax, parallax_error, radial_velocity\n",
|
||||
"source_id, ref_epoch, ra, dec, parallax\n",
|
||||
"FROM gaiadr2.gaia_source\n",
|
||||
"WHERE parallax < 0.5 AND \n",
|
||||
"bp_rp BETWEEN -0.75 AND 2\n",
|
||||
"WHERE parallax < 1 \n",
|
||||
" AND bp_rp BETWEEN -0.75 AND 2\n",
|
||||
"\n"
|
||||
]
|
||||
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|
||||
|
||||
+7
-8
@@ -154,7 +154,7 @@
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -1334,8 +1334,8 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"coord = 30 * u.deg\n",
|
||||
"type(coord)"
|
||||
"coordinate = 30 * u.deg\n",
|
||||
"type(coordinate)"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1367,7 +1367,7 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
@@ -1810,10 +1810,10 @@
|
||||
" parallax float64 mas Parallax 0\n",
|
||||
" parallax_error float64 mas Standard error of parallax 0\n",
|
||||
"radial_velocity float64 km / s Radial velocity 139374\n",
|
||||
"Jobid: 1603114980658O\n",
|
||||
"Jobid: 1605624329053O\n",
|
||||
"Phase: COMPLETED\n",
|
||||
"Owner: None\n",
|
||||
"Output file: async_20201019094300.vot\n",
|
||||
"Output file: async_20201117094529.vot\n",
|
||||
"Results: None\n"
|
||||
]
|
||||
}
|
||||
@@ -1901,7 +1901,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"-rw-rw-r-- 1 downey downey 8.6M Oct 19 09:43 gd1_results.fits\r\n"
|
||||
"-rw-rw-r-- 1 downey downey 8.6M Nov 17 09:45 gd1_results.fits\r\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -1953,7 +1953,6 @@
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"celltoolbar": "Tags",
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
|
||||
+3
-1
@@ -548,7 +548,9 @@
|
||||
"\n",
|
||||
"To plot them, we will transform them back to the `GD1Koposov10` frame; that way, the axes of the figure are aligned with the GD-1, which will make it easy to select stars near the centerline of the stream.\n",
|
||||
"\n",
|
||||
"To do that, we'll put the results into a `GaiaData` object, provided by the [pyia library](https://pyia.readthedocs.io/en/latest/api/pyia.GaiaData.html)."
|
||||
"To do that, we'll put the results into a `GaiaData` object, provided by the [pyia library](https://pyia.readthedocs.io/en/latest/api/pyia.GaiaData.html).\n",
|
||||
"\n",
|
||||
"TODO: Do we need pyia, or could we do this with astropy and gala?"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
Reference in New Issue
Block a user