juliensimon/icecat-neutrino-alerts
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---
license: cc-by-4.0
pretty_name: "ICECAT-1 — IceCube Event Catalog of Alert Tracks"
language:
- en
description: "Catalog of 348 high-energy neutrino events from the IceCube Neutrino Observatory selected as astrophysical candidates, covering 2011–2023."
task_categories:
- tabular-classification
tags:
- space
- neutrinos
- icecube
- multi-messenger
- astronomy
- physics
- open-data
- tabular-data
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/icecat.parquet
default: true
---
# ICECAT-1 — IceCube Event Catalog of Alert Tracks
*Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.*
Catalog of **348** high-energy neutrino events from the IceCube Neutrino
Observatory at the South Pole, selected as astrophysical candidates by the Gold
and Bronze track alert program (2011–2023).
## Dataset description
The IceCube Neutrino Observatory is a cubic-kilometer particle detector buried
in the Antarctic ice. ICECAT-1 is the first catalog of neutrino alert tracks,
including events issued in realtime via GCN notices and events that would have
triggered an alert had the program been active since 2011. Each event is a
high-energy (>~100 TeV) muon track with significant probability of astrophysical
origin.
The catalog includes best-fit sky coordinates (RA/Dec with asymmetric errors),
energy estimates, signalness (probability of astrophysical origin), false-alarm
rates, and CNN-based topology classification scores.
## Quick stats
- **348** neutrino alert events (2011–2023)
- **126** gold alerts, **222** bronze alerts
- Median energy: **152 TeV**
- Median signalness: **0.410**
## Alert types
- **212** gfu-bronze
- **92** gfu-gold
- **24** ehe-gold
- **10** hese-gold
- **10** hese-bronze
## Column reference
| Column | Description |
|--------|-------------|
| `event_name` | IceCube event identifier (e.g., IC110514A) |
| `run_id`, `event_id` | IceCube DAQ identifiers |
| `event_utc`, `event_mjd` | Event time (UTC datetime and Modified Julian Date) |
| `alert_type` | Event selection type: gfu-gold, gfu-bronze, ehe-gold, hese-gold, hese-bronze |
| `ra_deg`, `dec_deg` | Best-fit J2000 equatorial coordinates (degrees) |
| `ra_err_plus/minus`, `dec_err_plus/minus` | Asymmetric 90% CL error (degrees) |
| `energy_tev` | Most probable neutrino energy (TeV), assuming E^(-2.19) flux |
| `false_alarm_rate_per_yr` | Background event rate (events/year) |
| `signalness` | Probability of astrophysical origin |
| `score_*` | CNN topology classifier scores (throughgoing, starting, cascade, skimming, stopping) |
| `cosmic_ray_veto` | Surface IceTop cosmic-ray veto flag |
| `other_alert_types` | Additional alert categories this event passed |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("juliensimon/icecat-neutrino-alerts", split="train")
df = ds.to_pandas()
print(f"{len(df):,} neutrino events")
# Gold alerts only
gold = df[df["alert_type"].str.contains("gold")]
print(f"{len(gold):,} gold alerts, median signalness={gold['signalness'].median():.3f}")
# Sky map
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots(subplot_kw={"projection": "aitoff"})
ra_rad = np.deg2rad(df["ra_deg"] - 180)
dec_rad = np.deg2rad(df["dec_deg"])
ax.scatter(ra_rad, dec_rad, s=8, alpha=0.6, c=df["energy_tev"],
cmap="plasma", norm=plt.matplotlib.colors.LogNorm())
ax.set_title("ICECAT-1 Neutrino Sky Map")
ax.grid(True)
```
## Data source
IceCube Collaboration, *ICECAT-1: IceCube Event Catalog of Alert Tracks*.
Harvard Dataverse, [doi:10.7910/DVN/SCRUCD](https://doi.org/10.7910/DVN/SCRUCD).
## Pipeline
Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
## Related datasets
- [gamma-ray-bursts](https://huggingface.co/datasets/juliensimon/gamma-ray-bursts) — Fermi GBM Gamma-Ray Burst Catalog
- [tevcat-tev-gamma-ray](https://huggingface.co/datasets/juliensimon/tevcat-tev-gamma-ray) — TeVCat TeV Gamma-Ray Source Catalog
- [cosmic-rays](https://huggingface.co/datasets/juliensimon/cosmic-rays) — Cosmic Ray Database
## Citation
```bibtex
@dataset{icecat_neutrino_alerts,
author = {IceCube Collaboration},
title = {ICECAT-1: IceCube Event Catalog of Alert Tracks},
year = {2024},
publisher = {Harvard Dataverse},
doi = {10.7910/DVN/SCRUCD},
url = {https://doi.org/10.7910/DVN/SCRUCD}
}
```
## License
[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
提供机构:
juliensimon



