juliensimon/tevcat-tev-gamma-ray

--- license: cc-by-4.0 pretty_name: "TeVCat — TeV Gamma-Ray Source Catalog" language: - en description: "Catalog of astronomical sources detected at very high energies (>50 GeV) by ground-based gamma-ray telescopes, from the TeVCat reference catalog via NASA HEASARC." task_categories: - tabular-classification tags: - space - gamma-ray - tev - astronomy - physics - open-data - tabular-data size_categories: - n<1K configs: - config_name: default data_files: - split: train path: data/tevcat.parquet default: true --- # TeVCat — TeV Gamma-Ray Source Catalog *Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.* Catalog of **322** astronomical sources detected at very high energies (>50 GeV) by ground-based gamma-ray telescopes such as H.E.S.S., MAGIC, and VERITAS. TeVCat is the reference catalog for the ground-based VHE gamma-ray community. ## Dataset description Very-high-energy (VHE) gamma-ray astronomy probes the most extreme environments in the universe: supernova remnants, pulsar wind nebulae, active galactic nuclei, and gamma-ray binaries. TeVCat maintains the canonical list of sources detected above ~50 GeV by imaging atmospheric Cherenkov telescopes and water Cherenkov detectors. This dataset is sourced from the HEASARC mirror of TeVCat and includes sky coordinates, flux measurements, redshifts, and source classifications. ## Quick stats - **322** TeV gamma-ray sources - **84** with measured redshift - **179** with flux measurements ## Top source types - **116** UNID - **56** HBL - **32** PWN - **13** Shell - **11** FSRQ ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/tevcat-tev-gamma-ray", split="train") df = ds.to_pandas() print(f"{len(df):,} TeV gamma-ray sources") # Sky map import matplotlib.pyplot as plt fig, ax = plt.subplots(subplot_kw={"projection": "aitoff"}) import numpy as np ra_rad = np.deg2rad(df["ra"].dropna() - 180) dec_rad = np.deg2rad(df["dec"].dropna()) ax.scatter(ra_rad, dec_rad, s=5, alpha=0.7) ax.set_title("TeV Gamma-Ray Sky") ax.grid(True) ``` ## Data source All data comes from [TeVCat](http://tevcat.uchicago.edu/) (Wakely & Horan), accessed via NASA's [HEASARC TAP service](https://heasarc.gsfc.nasa.gov/xamin/vo/tap/). ## 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 - [pulsar-catalog](https://huggingface.co/datasets/juliensimon/pulsar-catalog) — ATNF Pulsar Catalogue ## Citation ```bibtex @dataset{tevcat_tev_gamma_ray, author = {Simon, Julien}, title = {TeVCat — TeV Gamma-Ray Source Catalog}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/juliensimon/tevcat-tev-gamma-ray}, note = {Based on TeVCat (Wakely & Horan) via NASA HEASARC} } ``` ## License [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)许可证：CC-BY-4.0 友好名称："TeVCat — TeV伽马射线源目录" 语言： - 英语 描述："本数据集收录了通过地面伽马射线望远镜探测到的甚高能（>50 GeV）天文源，源自NASA HEASARC托管的TeVCat参考目录。" 任务类别： - 表格分类 标签： - 太空 - 伽马射线 - TeV - 天文学 - 物理学 - 开放数据 - 表格数据 数据规模类别： - 样本数少于1000 配置项： - 配置名称：default 数据文件： - 拆分方式：train 路径：data/tevcat.parquet 默认启用：true --- # TeVCat — TeV伽马射线源目录 *隶属于Hugging Face平台的[Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743)天文数据集合集。* 本数据集收录了**322**个通过地面伽马射线望远镜（如H.E.S.S.、MAGIC、VERITAS）探测到的甚高能（>50 GeV）天文源。TeVCat是地面甚高能伽马射线学术共同体的权威参考目录。 ## 数据集说明 甚高能（Very-High-Energy, VHE）伽马射线天文学研究宇宙中最极端的天体环境：超新星遗迹、脉冲星风云、活动星系核以及伽马射线双星。TeVCat维护了通过大气成像切伦科夫望远镜和水切伦科夫探测器探测到的、能量高于约50 GeV的标准源列表。 本数据集源自NASA HEASARC镜像的TeVCat，包含天球坐标、流量测量值、红移以及源分类信息。 ## 核心统计数据 - **322**个TeV伽马射线源 - **84**个带有红移测量值 - **179**个带有流量测量值 ## 主要源类型 - **116**个未证认源（UNID） - **56**个高同步辐射峰BL Lac天体（HBL） - **32**个脉冲星风云（PWN） - **13**个壳层型源（Shell） - **11**个平谱射电类星体（FSRQ） ## 使用方法 python from datasets import load_dataset ds = load_dataset("juliensimon/tevcat-tev-gamma-ray", split="train") df = ds.to_pandas() print(f"{len(df):,} TeV gamma-ray sources") # 天球绘图 import matplotlib.pyplot as plt fig, ax = plt.subplots(subplot_kw={"projection": "aitoff"}) import numpy as np ra_rad = np.deg2rad(df["ra"].dropna() - 180) dec_rad = np.deg2rad(df["dec"].dropna()) ax.scatter(ra_rad, dec_rad, s=5, alpha=0.7) ax.set_title("TeV Gamma-Ray Sky") ax.grid(True) ## 数据来源 所有数据源自[TeVCat](http://tevcat.uchicago.edu/)（Wakely & Horan），通过NASA的[HEASARC TAP服务](https://heasarc.gsfc.nasa.gov/xamin/vo/tap/)获取。 ## 数据流水线 源代码：[juliensimon/space-datasets](https://github.com/juliensimon/space-datasets) ## 相关数据集 - [gamma-ray-bursts](https://huggingface.co/datasets/juliensimon/gamma-ray-bursts) — Fermi GBM伽马射线暴目录 - [pulsar-catalog](https://huggingface.co/datasets/juliensimon/pulsar-catalog) — ATNF脉冲星目录 ## 引用格式 bibtex @dataset{tevcat_tev_gamma_ray, author = {Simon, Julien}, title = {TeVCat — TeV Gamma-Ray Source Catalog}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/juliensimon/tevcat-tev-gamma-ray}, note = {Based on TeVCat (Wakely & Horan) via NASA HEASARC} } ## 许可证 [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)