transit-least-squares
CommunityDetect exoplanet transits with TLS precision.
AuthorKaiserWhoLearns
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transit Least Squares (TLS) is a transit-detection method that fits realistic planet transit models to stellar light curves, outperforming generic periodograms for transit-shaped signals and enabling sensitive exoplanet discovery.
Core Features & Use Cases
- Detects periodic transit-like dips by fitting transit models across period, duration, and epoch.
- Supports phase-folded visualization, model light curves, and transit masking for multi-planet searches.
- Applicable to time-domain photometry from missions like Kepler/TESS; useful for discovery, validation, and characterization of exoplanets.
Quick Start
Create a TLS workflow by instantiating a transitleastsquares object with your time, flux, and flux_err arrays and running the power() method to search for transit signals.
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: transit-least-squares Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#transit-least-squares Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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