Commit ·
0c0a661
1
Parent(s): ed909a5
Update globular star clusters: 170 clusters
Browse files- README.md +154 -0
- data/globular_star_clusters.parquet +3 -0
README.md
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| 1 |
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---
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license: cc-by-4.0
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pretty_name: "Milky Way Globular Star Clusters"
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language:
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- en
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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."
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task_categories:
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- tabular-classification
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- tabular-regression
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tags:
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- space
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- globular-clusters
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- stars
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- milky-way
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- astronomy
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- open-data
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- tabular-data
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size_categories:
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- n<1K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/globular_star_clusters.parquet
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default: true
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---
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# Milky Way Globular Star Clusters
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*Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-67ac2ada12aceb39f8feca3b) collection on Hugging Face.*
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A comprehensive catalog of **170** Milky Way globular clusters, merging two authoritative sources:
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the [Harris (2010 edition)](https://physics.mcmaster.ca/~harris/mwgc.dat) catalog for metallicities and
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photometry, and the [Baumgardt globular cluster database](https://people.smp.uq.edu.au/HolgerBaumgardt/globular/)
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for dynamical masses, velocity dispersions, and structural parameters from N-body model fits to
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Gaia DR3 proper motions and HST data.
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## Dataset description
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Globular clusters are ancient, gravitationally bound collections of stars orbiting the Milky Way.
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They are among the oldest objects in the Galaxy (10--13 Gyr), with typical masses of
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10⁴--10⁶ M☉ and half-light radii of a few parsecs. Their metallicities, dynamics,
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and spatial distribution encode the formation and assembly history of the Milky Way.
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This dataset combines Harris (2010) photometric and chemical data with Baumgardt's dynamical
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parameters derived from N-body fits to modern astrometric and spectroscopic data, providing
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the most complete per-cluster view available.
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## Schema
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| Column | Type | Description |
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|--------|------|-------------|
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| `name` | string | Cluster name (e.g. "NGC 104", "Pal 5") |
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| `ra_deg` / `dec_deg` | float64 | Position in decimal degrees (J2000) |
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| `distance_kpc` | float64 | Distance from the Sun (kpc) |
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| `distance_err_kpc` | float64 | Distance uncertainty (kpc) |
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| `distance_gc_kpc` | float64 | Galactocentric distance (kpc) |
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| `metallicity_fe_h` | float64 | Metallicity [Fe/H] (dex) |
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| `reddening_e_bv` | float64 | Foreground reddening E(B−V) |
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| `apparent_mag_v` | float64 | Apparent integrated V magnitude |
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| `absolute_mag_v` | float64 | Absolute integrated V magnitude |
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| `color_u_b` / `color_b_v` / `color_v_r` / `color_v_i` | float64 | Integrated color indices |
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| `spectral_type` | string | Integrated spectral type |
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| `ellipticity` | float64 | Projected ellipticity e = 1−b/a |
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| `mass_msun` | float64 | Total cluster mass (M☉) |
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| `mass_err_msun` | float64 | Mass uncertainty |
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| `mass_to_light_v` | float64 | V-band mass-to-light ratio (M☉/L☉) |
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| `log_initial_mass_msun` | float64 | Log₁₀ initial mass (M☉) |
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| `dissolution_time_gyr` | float64 | Predicted dissolution time (Gyr) |
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| `core_radius_pc` | float64 | Core radius (pc) |
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| `half_light_radius_pc` | float64 | Projected half-light radius (pc) |
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| `half_mass_radius_pc` | float64 | 3D half-mass radius (pc) |
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| `tidal_radius_pc` | float64 | Tidal radius (pc) |
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| `log_central_density_msun_pc3` | float64 | Log₁₀ central density (M☉/pc³) |
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| `log_half_mass_density_msun_pc3` | float64 | Log₁₀ half-mass density (M☉/pc³) |
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| `log_half_mass_relaxation_time_yr` | float64 | Log₁₀ half-mass relaxation time (yr) |
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| `velocity_dispersion_km_s` | float64 | Central velocity dispersion (km/s) |
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| `escape_velocity_km_s` | float64 | Central escape velocity (km/s) |
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| `radial_velocity_km_s` | float64 | Heliocentric radial velocity (km/s) |
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| `anisotropy_central` / `anisotropy_half_mass` | float64 | Velocity anisotropy (η) |
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| `rotation_amplitude_km_s` | float64 | Rotation amplitude (km/s) |
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| `rotation_probability_pct` | float64 | Probability of significant rotation (%) |
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| `mass_function_slope` | float64 | Present-day mass function slope (α) |
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| `n_radial_velocity_stars` | int | Stars with radial velocity measurements |
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| `n_proper_motion_stars` | int | Stars with proper motion measurements |
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| `core_collapsed` | bool | Core-collapsed cluster (Harris) |
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| `concentration_harris` | float64 | King-model concentration c = log(r_t/r_c) |
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## Quick stats
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- **170** Milky Way globular clusters
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- **167** with dynamical mass estimates (7.46e+02–3.94e+06 M☉)
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- **152** with metallicity measurements (-2.37 to 0.00 dex)
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- **167** with central velocity dispersions
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- **29** identified as core-collapsed
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("juliensimon/globular-star-clusters", split="train")
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df = ds.to_pandas()
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# Most massive clusters
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massive = df.nlargest(10, "mass_msun")[["name", "mass_msun", "metallicity_fe_h"]]
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# Metal-poor vs metal-rich populations
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metal_poor = df[df["metallicity_fe_h"] < -1.5]
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metal_rich = df[df["metallicity_fe_h"] >= -1.5]
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# Core-collapsed clusters
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cc = df[df["core_collapsed"]]
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# Mass-metallicity relation
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import matplotlib.pyplot as plt
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plt.scatter(df["metallicity_fe_h"], df["mass_msun"].apply(lambda x: x if x else None))
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plt.xlabel("[Fe/H]"); plt.ylabel("Mass (M☉)"); plt.yscale("log")
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```
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## Data sources
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1. **Harris (2010 edition)**: [McMaster Globular Cluster Catalog](https://physics.mcmaster.ca/~harris/mwgc.dat).
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Please cite [Harris (1996), AJ 112, 1487](https://ui.adsabs.harvard.edu/abs/1996AJ....112.1487H) — 2010 edition.
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2. **Baumgardt Globular Cluster Database**: [https://people.smp.uq.edu.au/HolgerBaumgardt/globular/](https://people.smp.uq.edu.au/HolgerBaumgardt/globular/).
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Please cite [Baumgardt & Hilker (2018), MNRAS 478, 1520](https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.1520B).
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## Related datasets
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- [open-star-clusters](https://huggingface.co/datasets/juliensimon/open-star-clusters) — Milky Way open clusters
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- [stellar-streams](https://huggingface.co/datasets/juliensimon/stellar-streams) — Tidal stellar streams
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- [pulsars](https://huggingface.co/datasets/juliensimon/pulsars) — ATNF Pulsar Catalogue
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## Pipeline
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Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
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## Citation
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```bibtex
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@dataset{globular_star_clusters,
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author = {Simon, Julien},
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title = {Milky Way Globular Star Clusters},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/juliensimon/globular-star-clusters},
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note = {Merged from Harris (1996, 2010 edition) and Baumgardt et al. globular cluster databases}
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}
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```
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## License
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[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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data/globular_star_clusters.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:19e2b4a6c8203b2c435fe416fd1124d457cbf7784a3b81b7965324d4ad500610
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size 59840
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