Combined sample of clusters from Hunt and Reffert 2023 and YLAs from Gagné et al. 2018

Sub-sample of 254 clusters (Hunt+Reffert 2023) and 18 YLAs (Gagné+2018) analyzed in Swiggum+2024. Columns are described below: (0-63): Quantities reported by Hunt+Reffert (2023) Table A.1 (65) data_source,: Indicates original catalog source (65) family: Assigned cluster family (66) age_myr: age of c...

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Bibliographische Detailangaben
1. Verfasser: Swiggum, Cameren
Format: Dataset
Sprache:eng
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Zusammenfassung:Sub-sample of 254 clusters (Hunt+Reffert 2023) and 18 YLAs (Gagné+2018) analyzed in Swiggum+2024. Columns are described below: (0-63): Quantities reported by Hunt+Reffert (2023) Table A.1 (65) data_source,: Indicates original catalog source (65) family: Assigned cluster family (66) age_myr: age of cluster (Myr) (67) rv_combined: median cluster RV from gaia/apogee/galah (km/s) (68) x_helio: Heliocentric x position (pc) (69) y_helio: Heliocentric y position(pc) (70) z_helio: Heliocentric z position(pc) (71) U: Heliocentric U velocity (km/s) (72) V: Heliocentric V velocity (km/s) (73) W: Heliocentric W velocity (km/s) (74) x_helio_err: error in x_helio (pc) (75) y_helio_err: error in y_helio (pc) (76) z_helio_err: error in z_helio (pc) (77) U_err: error in U (km/s) (78) V_err: error in V (km/s) (79) W_err: error in W (km/s) (80) n_rv_combined: number of RVs (81) mass_16: 16th percentile cluster mass estimate (Msun) (82) mass_50: 50th percentile cluster mass estimate (Msun) (83) mass_84: 84th percentile cluster mass estimate (Msun) (84) n_sne_16: 16th percentile number of SNe (85) n_sne_50: 50th percentile number of SNe (86) n_sne_84: 84th percentile number of SNe (87) n_stars_greater_8M_16: 16th percentile number of stars greater than 8Msun (88) n_stars_greater_8M_50: 50th percentile number of stars greater than 8Msun (89) n_stars_greater_8M_84: 84th percentile number of stars greater than 8Msun (90) weight_score: average weight score assigned to cluster (91) name_both: names of clusters; separated by a / if two names are given
DOI:10.7910/dvn/vybzqs