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juliensimon/galah-dr4-stellar-abundances

GALAH DR4 — Stellar Abundances for 917k Stars Credit: NASA/ESA/Hubble Part of a dataset collection on Hugging Face. Dataset description The fourth data release of the GALactic Archaeology with HERMES (GALAH) survey, providing radial velocities, stellar parameters, and up to 31 elemental abundances for 917,588 stars observed with the HERMES spectrograph on the Anglo-Australian Telescope. GALAH DR4 is one of the largest stellar spectroscopic surveys… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/galah-dr4-stellar-abundances.

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Dataset Card

GALAH DR4 — Stellar Abundances for 917k Stars

<div align="center"> <img src="banner.jpg" alt="A youthful globular star cluster observed by the Hubble Space Telescope" width="400"> <p><em>Credit: NASA/ESA/Hubble</em></p> </div>

Part of a [dataset collection](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) on Hugging Face.

Dataset description

The fourth data release of the GALactic Archaeology with HERMES (GALAH) survey, providing radial velocities, stellar parameters, and up to 31 elemental abundances for 917,588 stars observed with the HERMES spectrograph on the Anglo-Australian Telescope.

GALAH DR4 is one of the largest stellar spectroscopic surveys, designed to unravel the formation and evolution of the Milky Way through chemical tagging. Each star has high-resolution spectra decomposed into fundamental stellar parameters and individual elemental abundances spanning light elements, alpha-elements, iron-peak elements, and neutron-capture elements.

GALAH was specifically designed for chemical tagging — the idea that stars born in the same molecular cloud retain a unique multi-dimensional chemical fingerprint that persists long after the birth cluster has dispersed. The HERMES spectrograph delivers four non-contiguous optical wavelength channels at R ~ 28,000, capturing lines of light elements (Li, C, N, O), alpha-elements (Mg, Si, Ca, Ti), iron-peak elements (Sc, V, Cr, Mn, Fe, Co, Ni, Cu, Zn), and neutron-capture elements (Rb, Sr, Y, Zr, Mo, Ba, La, Ce, Nd, Ru, Sm, Eu) — up to 31 distinct abundance dimensions per star.

DR4 represents a major advance over DR3, incorporating improved spectral analysis techniques, better treatment of non-LTE effects for critical elements, and cross-matching with Gaia DR3 for precise astrometric information. The inclusion of both s-process elements (Ba, La, Ce from AGB nucleosynthesis) and r-process elements (Eu from neutron star mergers) makes GALAH uniquely powerful for constraining the sites and timescales of heavy element production in the Milky Way.

Schema

ColumnTypeDescriptionSampleNull %
sobject_idobjectGALAH spectroscopic observation identifier (unique per exposure); format encodes field and fiber number1709100041012740.0%
tmass_idobject2MASS photometric catalog cross-identifier (e.g. 'J12345678+1234567'); null if no 2MASS match00000011+05225000.0%
gaiadr3_source_idobjectGaia DR3 astrometric source identifier; enables cross-match for precise positions, proper motions, and parallaxes; null if unmatched27450495302952632320.0%
rafloat64Right ascension, ICRS J2000.0, in decimal degrees (0-360)0.00050000002374872570.0%
decfloat64Declination, ICRS J2000.0, in decimal degrees (-90 to +90)5.3805556297302250.0%
teff_kfloat32Effective temperature in Kelvin from spectral synthesis; GALAH targets FGK stars, typical range 4000-7500 K; uncertainty ~100 K; null if spectral pipeline failed (flag_sp > 0)4486.25541.2%
loggfloat32Log surface gravity in cgs (log cm/s²); main sequence dwarfs: 4.0-5.0, subgiants: 3.5-4.5, red giants: 1.5-3.5; null if flag_sp > 04.6574451.2%
fe_h_dexfloat32[Fe/H] iron abundance in dex relative to solar; GALAH surveys -2.5 to +0.5 dex; typical uncertainty ~0.1 dex; null if flag_sp > 0-0.39631671.2%
vmicfloat32Microturbulence velocity in km/s; internal parameter of the spectral model capturing small-scale turbulent broadening; typical range 0.5-2.0 km/s0.78325111.2%
vsinifloat32Projected rotational velocity v sin i in km/s; slow rotators (FGK dwarfs) typically < 10 km/s; null for stars where rotation is unresolved at R~28,0006.91110661.2%
radial_velocity_kmsfloat32Barycentric radial velocity in km/s from cross-correlation; precision ~0.1 km/s; null for very low S/N spectra10.4834741.2%
radial_velocity_comp2_kmsfloat32Barycentric radial velocity of a detected binary companion in km/s; non-null only for double-lined spectroscopic binaries (SB2)186.2574296.5%
snr_px_ccd1float32Signal-to-noise ratio per pixel for HERMES CCD 1 (blue channel, ~4713-4903 Å); drives which light-element abundances can be measured26.9643751.9%
snr_px_ccd2float32Signal-to-noise ratio per pixel for HERMES CCD 2 (green channel, ~5648-5873 Å); drives which iron-peak abundances can be measured45.6978650.0%
snr_px_ccd3float32Signal-to-noise ratio per pixel for HERMES CCD 3 (red channel, ~6478-6737 Å); drives which alpha-element abundances can be measured75.8897250.6%
snr_px_ccd4float32Signal-to-noise ratio per pixel for HERMES CCD 4 (IR channel, ~7585-7887 Å); drives which neutron-capture abundances can be measured72.905982.9%
flag_spInt64Spectroscopic analysis quality flag; 0 = good stellar parameters; >0 encodes specific problems (binary contamination, emission, grid edge); use flag_sp == 0 for clean samples00.0%
flag_redInt64Reduction pipeline quality flag; 0 = successful reduction; >0 indicates issues with sky subtraction, cross-talk, or cosmic rays00.0%
c_fefloat32[C/Fe] carbon abundance ratio in dex; elevated in carbon-enhanced metal-poor (CEMP) stars0.059389141.4%
n_fefloat32[N/Fe] nitrogen abundance ratio in dex; a tracer of CNO cycling and AGB dredge-up-0.391346524.8%
o_fefloat32[O/Fe] oxygen abundance ratio in dex; key alpha-element tracing core-collapse supernova enrichment-0.198256874.7%
na_fefloat32[Na/Fe] sodium abundance ratio in dex; anti-correlates with O in globular cluster stars-0.163474412.6%
al_fefloat32[Al/Fe] aluminium abundance ratio in dex; traces Mg-Al chain proton captures in massive stars-0.0486286587.4%
k_fefloat32[K/Fe] potassium abundance ratio in dex; sensitive to non-LTE effects; limited by spectral coverage-0.035596446.2%
mg_fefloat32[Mg/Fe] magnesium abundance ratio in dex; primary alpha-element; high in old, metal-poor disk stars; decreases with increasing [Fe/H] due to Type Ia SNe iron contribution0.30874022.1%
si_fefloat32[Si/Fe] silicon abundance ratio in dex; alpha-element; co-produced with Mg in core-collapse supernovae0.193738563.5%
ca_fefloat32[Ca/Fe] calcium abundance ratio in dex; alpha-element; traces both core-collapse and Type Ia supernova nucleosynthesis0.123203621.9%
ti_fefloat32[Ti/Fe] titanium abundance ratio in dex; odd alpha-element; useful for separating thin disk, thick disk, and halo populations0.33954071.6%
sc_fefloat32[Sc/Fe] scandium abundance ratio in dex; iron-peak element; produced mainly in core-collapse supernovae0.013707422.0%
v_fefloat32[V/Fe] vanadium abundance ratio in dex; iron-peak element; constrains explosive nucleosynthesis models0.3275448710.6%
cr_fefloat32[Cr/Fe] chromium abundance ratio in dex; iron-peak element with known non-LTE corrections required0.18576351.6%
mn_fefloat32[Mn/Fe] manganese abundance ratio in dex; traces Type Ia supernova contribution (Mn is overproduced in Chandrasekhar-mass SNe Ia)-0.0239185021.9%
co_fefloat32[Co/Fe] cobalt abundance ratio in dex; iron-peak element sensitive to neutron excess in the explosive burning region0.136851658.6%
ni_fefloat32[Ni/Fe] nickel abundance ratio in dex; closely follows Fe; used to distinguish thick-disk from halo stars-0.1238101351.7%
cu_fefloat32[Cu/Fe] copper abundance ratio in dex; iron-peak element with significant s-process contribution0.166263779.5%
zn_fefloat32[Zn/Fe] zinc abundance ratio in dex; bridges iron-peak and neutron-capture elements; useful metallicity probe0.0874737954.9%
rb_fefloat32[Rb/Fe] rubidium abundance ratio in dex; s-process element; traces AGB stellar nucleosynthesis-0.00833712166.0%
sr_fefloat32[Sr/Fe] strontium abundance ratio in dex; light s-process element; also has r-process and charged-particle process contributions0.03507289769.8%
y_fefloat32[Y/Fe] yttrium abundance ratio in dex; s-process element with Ba/Y ratio used to age-date stellar populations0.118425391.7%
zr_fefloat32[Zr/Fe] zirconium abundance ratio in dex; s-process element co-produced with Y and Sr0.1121873729.0%
mo_fefloat32[Mo/Fe] molybdenum abundance ratio in dex; neutron-capture element with both s- and r-process origin-0.1482724583.9%
ba_fefloat32[Ba/Fe] barium abundance ratio in dex; dominant s-process tracer; high in AGB-enriched stars and young thin-disk stars-0.0900601452.0%
la_fefloat32[La/Fe] lanthanum abundance ratio in dex; s-process element; La/Eu ratio distinguishes s- from r-process enrichment0.06176736626.8%
ce_fefloat32[Ce/Fe] cerium abundance ratio in dex; s-process element produced in low-mass AGB stars-0.02550557328.7%
nd_fefloat32[Nd/Fe] neodymium abundance ratio in dex; mixed s- and r-process origin-0.150205712.2%
ru_fefloat32[Ru/Fe] ruthenium abundance ratio in dex; primarily r-process origin; rare to measure in stellar spectra-0.3078904776.8%
sm_fefloat32[Sm/Fe] samarium abundance ratio in dex; r-process dominated element; traces neutron star merger enrichment-0.01771039549.8%
eu_fefloat32[Eu/Fe] europium abundance ratio in dex; the cleanest r-process tracer; high in metal-poor halo stars; r-process enrichment from neutron star mergers-0.0826292769.8%
n_abundancesInt64Count of non-null [X/Fe] abundance measurements for this star; ranges 0-31; derived column useful for selecting well-characterised stars270.0%
snr_meanfloat32Mean S/N per pixel averaged across all four HERMES CCDs; derived column; stars with snr_mean < 30 have fewer reliable abundance measurements55.3644870.0%

Quick stats

  • —917,588 stars observed with HERMES spectrograph
  • —906,689 stars with radial velocity measurements
  • —906,432 stars with at least one elemental abundance (99%)
  • —30 elemental abundance columns ([X/Fe]), median 24 per star
  • —663,075 stars with clean spectroscopic flags (flag_sp == 0)
  • —Median SNR across 4 HERMES CCDs: 48.1 per pixel

Usage

python
from datasets import load_dataset
import matplotlib.pyplot as plt

ds = load_dataset("juliensimon/galah-dr4-stellar-abundances", split="train")
df = ds.to_pandas()

# Kiel diagram (Teff vs logg) coloured by [Fe/H] — shows stellar populations
best = df[(df["flag_sp"] == 0) & df["teff_k"].notna() & df["logg"].notna()]
sample = best.sample(min(50_000, len(best)), random_state=42)

sc = plt.scatter(sample["teff_k"], sample["logg"],
                 c=sample["fe_h_dex"], s=0.1, cmap="coolwarm",
                 vmin=-1.5, vmax=0.5, alpha=0.6)
plt.gca().invert_xaxis()
plt.gca().invert_yaxis()
plt.xlabel("Effective Temperature (K)")
plt.ylabel("log g (dex)")
plt.title("GALAH DR4 Kiel Diagram")
plt.colorbar(sc, label="[Fe/H] (dex)")
plt.tight_layout()
plt.show()

# Abundance pattern: alpha-element enhancement vs metallicity
alpha_cols = ["mg_fe", "si_fe", "ca_fe", "ti_fe"]
best["alpha_fe"] = best[alpha_cols].mean(axis=1)
sub = best.dropna(subset=["fe_h_dex", "alpha_fe"]).sample(30_000, random_state=0)
plt.figure()
plt.scatter(sub["fe_h_dex"], sub["alpha_fe"], s=0.1, alpha=0.3, c="steelblue")
plt.axhline(0, color="gray", lw=0.5, ls="--")
plt.xlabel("[Fe/H] (dex)")
plt.ylabel("[alpha/Fe] (dex)")
plt.title("Alpha-element Enhancement vs Metallicity")
plt.tight_layout()
plt.show()

Data source

https://www.galah-survey.org/dr4/

Update schedule

Static dataset — uploaded once from the DR4 release catalog

Related datasets

Citation

bibtex
@dataset{galah_dr4_stellar_abundances,
  title = {GALAH DR4 — Stellar Abundances for 917k Stars},
  author = {Simon, Julien},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/galah-dr4-stellar-abundances},
  publisher = {Hugging Face},
  note = {Derived from GALAH Survey, https://www.galah-survey.org/dr4/}
}

License

CC-BY-4.0