five

juliensimon/globular-star-clusters

收藏
Hugging Face2026-03-27 更新2026-03-29 收录
下载链接:
https://hf-mirror.com/datasets/juliensimon/globular-star-clusters
下载链接
链接失效反馈
官方服务:
资源简介:
--- license: cc-by-4.0 pretty_name: "Milky Way Globular Star Clusters" language: - en description: "Comprehensive catalog of 170 Milky Way globular clusters merging the Harris (2010) and Baumgardt databases. Includes positions, distances, metallicities, masses, velocity dispersions, structural parameters, and photometry." task_categories: - tabular-classification - tabular-regression tags: - space - globular-clusters - stars - milky-way - astronomy - open-data - tabular-data size_categories: - n<1K configs: - config_name: default data_files: - split: train path: data/globular_star_clusters.parquet default: true --- # Milky Way Globular Star Clusters *Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-67ac2ada12aceb39f8feca3b) collection on Hugging Face.* A comprehensive catalog of **170** Milky Way globular clusters, merging two authoritative sources: the [Harris (2010 edition)](https://physics.mcmaster.ca/~harris/mwgc.dat) catalog for metallicities and photometry, and the [Baumgardt globular cluster database](https://people.smp.uq.edu.au/HolgerBaumgardt/globular/) for dynamical masses, velocity dispersions, and structural parameters from N-body model fits to Gaia DR3 proper motions and HST data. ## Dataset description Globular clusters are ancient, gravitationally bound collections of stars orbiting the Milky Way. They are among the oldest objects in the Galaxy (10--13 Gyr), with typical masses of 10⁴--10⁶ M☉ and half-light radii of a few parsecs. Their metallicities, dynamics, and spatial distribution encode the formation and assembly history of the Milky Way. This dataset combines Harris (2010) photometric and chemical data with Baumgardt's dynamical parameters derived from N-body fits to modern astrometric and spectroscopic data, providing the most complete per-cluster view available. ## Schema | Column | Type | Description | |--------|------|-------------| | `name` | string | Cluster name (e.g. "NGC 104", "Pal 5") | | `ra_deg` / `dec_deg` | float64 | Position in decimal degrees (J2000) | | `distance_kpc` | float64 | Distance from the Sun (kpc) | | `distance_err_kpc` | float64 | Distance uncertainty (kpc) | | `distance_gc_kpc` | float64 | Galactocentric distance (kpc) | | `metallicity_fe_h` | float64 | Metallicity [Fe/H] (dex) | | `reddening_e_bv` | float64 | Foreground reddening E(B−V) | | `apparent_mag_v` | float64 | Apparent integrated V magnitude | | `absolute_mag_v` | float64 | Absolute integrated V magnitude | | `color_u_b` / `color_b_v` / `color_v_r` / `color_v_i` | float64 | Integrated color indices | | `spectral_type` | string | Integrated spectral type | | `ellipticity` | float64 | Projected ellipticity e = 1−b/a | | `mass_msun` | float64 | Total cluster mass (M☉) | | `mass_err_msun` | float64 | Mass uncertainty | | `mass_to_light_v` | float64 | V-band mass-to-light ratio (M☉/L☉) | | `log_initial_mass_msun` | float64 | Log₁₀ initial mass (M☉) | | `dissolution_time_gyr` | float64 | Predicted dissolution time (Gyr) | | `core_radius_pc` | float64 | Core radius (pc) | | `half_light_radius_pc` | float64 | Projected half-light radius (pc) | | `half_mass_radius_pc` | float64 | 3D half-mass radius (pc) | | `tidal_radius_pc` | float64 | Tidal radius (pc) | | `log_central_density_msun_pc3` | float64 | Log₁₀ central density (M☉/pc³) | | `log_half_mass_density_msun_pc3` | float64 | Log₁₀ half-mass density (M☉/pc³) | | `log_half_mass_relaxation_time_yr` | float64 | Log₁₀ half-mass relaxation time (yr) | | `velocity_dispersion_km_s` | float64 | Central velocity dispersion (km/s) | | `escape_velocity_km_s` | float64 | Central escape velocity (km/s) | | `radial_velocity_km_s` | float64 | Heliocentric radial velocity (km/s) | | `anisotropy_central` / `anisotropy_half_mass` | float64 | Velocity anisotropy (η) | | `rotation_amplitude_km_s` | float64 | Rotation amplitude (km/s) | | `rotation_probability_pct` | float64 | Probability of significant rotation (%) | | `mass_function_slope` | float64 | Present-day mass function slope (α) | | `n_radial_velocity_stars` | int | Stars with radial velocity measurements | | `n_proper_motion_stars` | int | Stars with proper motion measurements | | `core_collapsed` | bool | Core-collapsed cluster (Harris) | | `concentration_harris` | float64 | King-model concentration c = log(r_t/r_c) | ## Quick stats - **170** Milky Way globular clusters - **167** with dynamical mass estimates (7.46e+02–3.94e+06 M☉) - **152** with metallicity measurements (-2.37 to 0.00 dex) - **167** with central velocity dispersions - **29** identified as core-collapsed ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/globular-star-clusters", split="train") df = ds.to_pandas() # Most massive clusters massive = df.nlargest(10, "mass_msun")[["name", "mass_msun", "metallicity_fe_h"]] # Metal-poor vs metal-rich populations metal_poor = df[df["metallicity_fe_h"] < -1.5] metal_rich = df[df["metallicity_fe_h"] >= -1.5] # Core-collapsed clusters cc = df[df["core_collapsed"]] # Mass-metallicity relation import matplotlib.pyplot as plt plt.scatter(df["metallicity_fe_h"], df["mass_msun"].apply(lambda x: x if x else None)) plt.xlabel("[Fe/H]"); plt.ylabel("Mass (M☉)"); plt.yscale("log") ``` ## Data sources 1. **Harris (2010 edition)**: [McMaster Globular Cluster Catalog](https://physics.mcmaster.ca/~harris/mwgc.dat). Please cite [Harris (1996), AJ 112, 1487](https://ui.adsabs.harvard.edu/abs/1996AJ....112.1487H) — 2010 edition. 2. **Baumgardt Globular Cluster Database**: [https://people.smp.uq.edu.au/HolgerBaumgardt/globular/](https://people.smp.uq.edu.au/HolgerBaumgardt/globular/). Please cite [Baumgardt & Hilker (2018), MNRAS 478, 1520](https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.1520B). ## Related datasets - [open-star-clusters](https://huggingface.co/datasets/juliensimon/open-star-clusters) — Milky Way open clusters - [stellar-streams](https://huggingface.co/datasets/juliensimon/stellar-streams) — Tidal stellar streams - [pulsars](https://huggingface.co/datasets/juliensimon/pulsars) — ATNF Pulsar Catalogue ## Pipeline Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets) ## Citation ```bibtex @dataset{globular_star_clusters, author = {Simon, Julien}, title = {Milky Way Globular Star Clusters}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/juliensimon/globular-star-clusters}, note = {Merged from Harris (1996, 2010 edition) and Baumgardt et al. globular cluster databases} } ``` ## License [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
提供机构:
juliensimon
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作