juliensimon/kepler-eclipsing-binaries

---
license: cc-by-4.0
pretty_name: "Kepler Eclipsing Binary Catalog"
language:
- en
description: "Kepler mission eclipsing binary catalog. Sourced via VizieR CDS Strasbourg."
task_categories:
- tabular-classification
tags:
- space
- kepler
- eclipsing-binary
- binary-star
- astronomy
- open-data
size_categories:
- 1K<n<10K
---

# Kepler Eclipsing Binary Catalog

Catalog of **2,177** eclipsing binary systems identified by the Kepler mission,
with orbital periods, morphology parameters, and stellar properties.

## Dataset description

Eclipsing binaries are pairs of stars whose orbital plane is aligned with our line of
sight, producing periodic dips in brightness as one star passes in front of the other.
The Kepler mission's exquisite photometric precision made it ideal for detecting and
characterizing these systems. This catalog from Slawson et al. (2011) provides the
definitive Kepler eclipsing binary list with orbital periods, eclipse morphology
parameters, and derived stellar properties.

## Quick stats

- **2,177** eclipsing binaries
- **2,177** with measured orbital periods
- **2,022** with effective temperature estimates
- Median orbital period: **1.851** days

## Usage

```python
from datasets import load_dataset

ds = load_dataset("juliensimon/kepler-eclipsing-binaries", split="train")
df = ds.to_pandas()

# Short-period binaries (< 1 day)
if "period_days" in df.columns:
short = df[df["period_days"] < 1.0]
print(f"{len(short):,} short-period binaries")

# Period distribution
import matplotlib.pyplot as plt
if "period_days" in df.columns:
df["period_days"].dropna().hist(bins=100, log=True)
plt.xlabel("Orbital Period (days)")
plt.ylabel("Count")
plt.title("Kepler EB Period Distribution")
```

## Data source

Slawson, R.W. et al. (2011), "Kepler Eclipsing Binary Stars. II. 2165 Eclipsing
Binaries in the Second Data Release", AJ, 142, 160. Accessed via
[VizieR](https://vizier.cds.unistra.fr/), CDS Strasbourg.

## Pipeline

Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)

## License

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

---
license: cc-by-4.0
pretty_name: "开普勒食双星目录（Kepler Eclipsing Binary Catalog）"
language:
- en
description: "开普勒任务食双星目录，数据源自斯特拉斯堡天文数据中心（CDS）的VizieR服务。"
task_categories:
- 表格分类（tabular-classification）
tags:
- 空间天文
- 开普勒
- 食双星（eclipsing binary）
- 双星系统（binary star）
- 天文学
- 开放数据
size_categories:
- 1000 < 样本数 < 10000
---

# 开普勒食双星目录

本目录收录了开普勒任务所发现的**2177个**食双星（eclipsing binary）系统，包含轨道周期、形态学参数与恒星物理属性等信息。

## 数据集说明

食双星是指轨道平面与观测视线共面的双星系统（binary star），当一颗恒星从另一颗恒星前方凌过时，会引发观测亮度的周期性下降。开普勒任务凭借其极高的测光精度，成为探测与表征这类天体系统的理想平台。本目录由Slawson等人于2011年发布，是权威的开普勒食双星列表，包含轨道周期、食相形态参数以及推导得到的恒星物理属性。

## 快速统计数据
- **2177个**食双星系统
- **2177个**已测得轨道周期
- **2022个**带有有效温度估算值
- 轨道周期中位数：**1.851天**

## 使用示例
python
from datasets import load_dataset

ds = load_dataset("juliensimon/kepler-eclipsing-binaries", split="train")
df = ds.to_pandas()

# 短周期双星（周期<1天）
if "period_days" in df.columns:
short = df[df["period_days"] < 1.0]
print(f"{len(short):,} 颗短周期双星")

# 周期分布
import matplotlib.pyplot as plt
if "period_days" in df.columns:
df["period_days"].dropna().hist(bins=100, log=True)
plt.xlabel("轨道周期（天）")
plt.ylabel("计数")
plt.title("开普勒食双星周期分布")

## 数据来源
Slawson, R.W. 等人（2011年），《开普勒食双星. Ⅱ. 第二批次数据发布中的2165颗食双星》，《天文期刊（AJ）》，142卷，160号。数据通过斯特拉斯堡天文数据中心（CDS）的[VizieR](https://vizier.cds.unistra.fr/)服务获取。

## 处理流水线
源代码托管于 [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)

## 许可证
[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)