CoolFace
Datasetpublic

juliensimon/auger-cosmic-rays

Pierre Auger Observatory Cosmic Rays Part of the Physics Datasets collection on Hugging Face. Summary data from the Pierre Auger Observatory, the world's largest detector of ultra-high-energy cosmic rays. Currently 24,319 records. Dataset description The Pierre Auger Observatory in Mendoza, Argentina, uses 1,660 water-Cherenkov surface detectors spread over 3,000 km^2, plus fluorescence telescopes, to detect cosmic rays with energies above 10^18 eV. These are the… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/auger-cosmic-rays.

sourceHugging Facecc-by-4.0updated 6mo agoView on Hugging Face
0likes21downloads
Dataset Card

Pierre Auger Observatory Cosmic Rays

Part of the [Physics Datasets](https://huggingface.co/collections/juliensimon/physics-datasets-69c2d4682d37dfdb77447bd7) collection on Hugging Face.

Summary data from the Pierre Auger Observatory, the world's largest detector of ultra-high-energy cosmic rays. Currently 24,319 records.

Dataset description

The Pierre Auger Observatory in Mendoza, Argentina, uses 1,660 water-Cherenkov surface detectors spread over 3,000 km^2, plus fluorescence telescopes, to detect cosmic rays with energies above 10^18 eV. These are the most energetic particles known in nature, and their origins remain one of the biggest open questions in astrophysics.

This dataset contains summary-level event data from the Auger open data release on Zenodo.

Ultra-high-energy cosmic rays (UHECRs) are the most energetic particles observed in nature, with individual events carrying macroscopic amounts of kinetic energy -- a single particle at 10^20 eV has roughly the energy of a tennis ball served at 150 km/h, compressed into a single subatomic particle. When such a particle strikes the atmosphere, it triggers a cascade of billions of secondary particles called an extensive air shower, spreading over several square kilometers at ground level. The Pierre Auger Observatory detects these showers through a hybrid technique: the surface detector array measures the lateral distribution and timing of shower particles on the ground, while fluorescence telescopes observe the ultraviolet glow of atmospheric nitrogen excited by the shower as it develops. This combination provides both the energy and the atmospheric depth of shower maximum (Xmax), a key observable for inferring the mass composition of the primary cosmic ray.

Auger's major scientific results include the confirmation of the GZK suppression (the steepening of the cosmic ray spectrum above ~5x10^19 eV, expected from interactions with the cosmic microwave background), evidence for a dipole anisotropy in arrival directions above 8x10^18 eV suggesting an extragalactic origin, and measurements of Xmax distributions that indicate a transition from light (proton-like) to heavier (iron-like) composition at the highest energies. These findings constrain models of cosmic ray acceleration in astrophysical sources such as active galactic nuclei, gamma-ray bursts, and starburst galaxies.

This open dataset enables independent analyses of arrival direction distributions, energy spectrum features, and composition-sensitive observables. It is used in multi-messenger astrophysics studies correlating UHECR directions with neutrino and gamma-ray source catalogs, and for validating hadronic interaction models that describe particle physics at center-of-mass energies far beyond the reach of the LHC.

Schema

ColumnTypeDescription
idint64
sdidint64
gpstimeint64
sd_standardint64
multi_eyeint64
sd_gpsnanotimefloat64
sd_thetafloat64
sd_dthetafloat64
sd_phifloat64
sd_dphifloat64
sd_energyfloat64
sd_denergyfloat64
sd_lfloat64
sd_bfloat64
sd_rafloat64
sd_decfloat64
sd_xfloat64
sd_dxfloat64
sd_yfloat64
sd_dyfloat64
sd_zfloat64
sd_eastingfloat64
sd_northingfloat64
sd_altitudefloat64
sd_rfloat64
sd_d_rfloat64
sd_s1000float64
sd_ds1000float64
sd_s38float64
sd_gcorrfloat64
sd_wcorrfloat64
sd_betafloat64
sd_gammafloat64
sd_chi2float64
sd_ndffloat64
sd_geochi2float64
sd_geondffloat64
sd_nbstatfloat64
fd_idfloat64
fd_gpsnanotimefloat64
fd_hd_spectrum_eyefloat64
fd_hd_calib_eyefloat64
fd_hd_xmax_eyefloat64
fd_thetafloat64
fd_dthetafloat64
fd_phifloat64
fd_dphifloat64
fd_lfloat64
fd_bfloat64
fd_rafloat64
fd_decfloat64
fd_total_energyfloat64
fd_dtotal_energyfloat64
fd_cal_energyfloat64
fd_dcal_energyfloat64
fd_xmaxfloat64
fd_dxmaxfloat64
fd_height_xmaxfloat64
fd_dist_xmaxfloat64
fd_d_ed_xmaxfloat64
fd_dd_ed_xmaxfloat64
fd_xfloat64
fd_dxfloat64
fd_yfloat64
fd_dyfloat64
fd_zfloat64
fd_eastingfloat64
fd_northingfloat64
fd_altitudefloat64
fd_cherenkov_fractionfloat64
fd_min_view_anglefloat64
fd_usp_lfloat64
fd_dusp_lfloat64
fd_usp_rfloat64
fd_dusp_rfloat64
fd_hottest_station_idfloat64
fd_dist_sdp_stationfloat64
fd_dist_axis_stationfloat64
sd_exposurefloat64
source_fileobject

Quick stats

  • —24,319 records

Usage

python
from datasets import load_dataset

ds = load_dataset("juliensimon/auger-cosmic-rays", split="train")
df = ds.to_pandas()
print(f"{len(df):,} Auger events")
print(df.describe())

Data source

Pierre Auger Observatory Open Data, Zenodo DOI: 10.5281/zenodo.4487613

Pipeline

Source code: juliensimon/space-datasets

Support

If you find this dataset useful, please give it a ❤️ on the dataset page and share feedback in the Community tab! Also consider giving a ⭐️ to the space-datasets repo.

Citation

bibtex
@dataset{auger_cosmic_rays,
  author = {Simon, Julien},
  title = {Pierre Auger Observatory Cosmic Rays},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/auger-cosmic-rays},
  note = {Based on Pierre Auger Observatory open data (Zenodo 10.5281/zenodo.4487613)}
}

License

CC-BY-4.0