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Update Kepler eclipsing binaries: 2,177 systems

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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ pretty_name: "Kepler Eclipsing Binary Catalog"
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+ language:
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+ - en
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+ description: "Kepler mission eclipsing binary catalog. Sourced via VizieR CDS Strasbourg."
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+ task_categories:
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+ - tabular-classification
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+ tags:
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+ - space
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+ - kepler
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+ - eclipsing-binary
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+ - binary-star
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+ - astronomy
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+ - open-data
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # Kepler Eclipsing Binary Catalog
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+
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+ Catalog of **2,177** eclipsing binary systems identified by the Kepler mission,
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+ with orbital periods, morphology parameters, and stellar properties.
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+
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+ ## Dataset description
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+
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+ Eclipsing binaries are pairs of stars whose orbital plane is aligned with our line of
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+ sight, producing periodic dips in brightness as one star passes in front of the other.
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+ The Kepler mission's exquisite photometric precision made it ideal for detecting and
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+ characterizing these systems. This catalog from Slawson et al. (2011) provides the
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+ definitive Kepler eclipsing binary list with orbital periods, eclipse morphology
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+ parameters, and derived stellar properties.
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+
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+ ## Quick stats
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+
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+ - **2,177** eclipsing binaries
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+ - **2,177** with measured orbital periods
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+ - **2,022** with effective temperature estimates
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+ - Median orbital period: **1.851** days
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("juliensimon/kepler-eclipsing-binaries", split="train")
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+ df = ds.to_pandas()
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+
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+ # Short-period binaries (< 1 day)
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+ if "period_days" in df.columns:
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+ short = df[df["period_days"] < 1.0]
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+ print(f"{len(short):,} short-period binaries")
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+
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+ # Period distribution
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+ import matplotlib.pyplot as plt
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+ if "period_days" in df.columns:
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+ df["period_days"].dropna().hist(bins=100, log=True)
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+ plt.xlabel("Orbital Period (days)")
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+ plt.ylabel("Count")
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+ plt.title("Kepler EB Period Distribution")
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+ ```
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+
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+ ## Data source
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+
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+ Slawson, R.W. et al. (2011), "Kepler Eclipsing Binary Stars. II. 2165 Eclipsing
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+ Binaries in the Second Data Release", AJ, 142, 160. Accessed via
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+ [VizieR](https://vizier.cds.unistra.fr/), CDS Strasbourg.
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+
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+ ## Pipeline
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+
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+ Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
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+
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+ ## License
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+
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+ [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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