Individual skill
light-curve-preprocessing
Preprocessing and cleaning techniques for astronomical light curves. Use when preparing light curve data for period analysis, including outlier removal, trend removal, flattening, and handling data quality flags. Works with lightkurve and general time series data.
tasks/exoplanet-detection-period/environment/skills/light-curve-preprocessing/SKILL.md
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# Light Curve Preprocessing
Preprocessing is essential before period analysis. Raw light curves often contain outliers, long-term trends, and instrumental effects that can mask or create false periodic signals.
## Overview
Common preprocessing steps:
1. Remove outliers
2. Remove long-term trends
3. Handle data quality flags
4. Remove stellar variability (optional)
## Outlier Removal