lomb-scargle-periodogram
CommunityDetect periodic signals in uneven time series.
Data & Analytics#astronomy#time-series#signal-detection#lomb-scargle#light-curve#periodogram#uneven-sampling
AuthorKaiserWhoLearns
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Detect periodic signals in unevenly sampled astronomical time series data to reveal underlying cycles.
Core Features & Use Cases
- Uneven-sample period detection: identify strongest periodicities in light curves, radial velocity data, and similar time series.
- Period range control: specify minimum and maximum periods to target specific phenomena (stellar rotation, pulsations, eclipsing binaries).
- Modeling and visualization: estimate frequency at maximum power and generate model curves for comparison.
Quick Start
Run Lomb-Scargle periodogram on an unevenly sampled time series to identify the strongest period.
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: lomb-scargle-periodogram Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#lomb-scargle-periodogram 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.