light-curve-preprocessing
CommunityClean astronomical light curves for robust period analysis.
AuthorKaiserWhoLearns
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Preprocessing astronomical light curves to remove outliers, long-term trends, and data quality issues so they are ready for robust period analysis.
Core Features & Use Cases
- Outlier removal using lightkurve methods to clean data.
- Trend flattening to remove long-term instrumental and stellar variability.
- Handling data quality flags and preserving important signals.
- Optional removal of stellar variability for focused period searches.
Quick Start
Apply the preprocessing steps to your light curve data to obtain a cleaned, analysis-ready time series.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: light-curve-preprocessing Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#light-curve-preprocessing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.