juliensimon/planetary-nebulae

Planetary Nebulae (MUSE Survey)

Catalog of 1,715 planetary nebulae from the MUSE (Multi Unit Spectroscopic Explorer) survey, with positions, velocities, and morphological classifications.

Dataset description

Planetary nebulae (PNe) are glowing shells of ionized gas expelled by intermediate-mass stars at the end of their lives. They are important distance indicators and tracers of stellar populations and chemical enrichment. This catalog from Jacoby et al. (2024) presents PNe identified and characterized using the MUSE integral-field spectrograph on ESO's Very Large Telescope, providing unprecedented spectroscopic detail.

Quick stats

• 1,715 planetary nebulae
• 0 with radial velocity measurements
• 0 with morphological classifications

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/planetary-nebulae", split="train")
df = ds.to_pandas()

# PNe with velocity measurements
if "velocity_kms" in df.columns:
    with_vel = df.dropna(subset=["velocity_kms"])
    print(f"{len(with_vel):,} PNe with velocities")
    print(f"Velocity range: {with_vel['velocity_kms'].min():.0f} to {with_vel['velocity_kms'].max():.0f} km/s")

# Sky distribution
import matplotlib.pyplot as plt
plt.scatter(df["ra_deg"], df["dec_deg"], s=1, alpha=0.5)
plt.xlabel("RA (deg)")
plt.ylabel("Dec (deg)")
plt.title("MUSE Planetary Nebulae")

Data source

Jacoby, G.H. et al. (2024), "Planetary Nebulae from the MUSE Survey", ApJS, 271, 40. Accessed via VizieR, CDS Strasbourg.

Pipeline

Source code: juliensimon/space-datasets

License

CC-BY-4.0