Transit Period Detection

SkillFiles & storage

Run BLS and/or Transit Least Squares (TLS) periodograms on a cleaned, flattened light curve to identify the exoplanet orbital period, and write the result to a properly formatted output file.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Transit Period Detection skill

What this skill tells your AI

The instructions your AI receives, as published by openlair/openskill in tasks-evolved/exoplanet-detection-period/environment/skills/evo-transit-period-detection/SKILL.md and read by ahel’s review.

Usage

import sys
sys.path.insert(0, '/app/environment/skills/evo-transit-period-detection/scripts')
from utils import detect_transit_tls, detect_transit_bls, save_period

period, results = detect_transit_tls(time, flux)
save_period(period, '/root/period.txt')

Notes

  • TLS is preferred over BLS for small planets due to limb-darkening modeling.
  • Search period range can be constrained to avoid stellar rotation aliases (>0.5 d typical).
  • Output format: single float, 5 decimal places via f"{value:.5f}".

Signals

GitHub stars
89
Forks
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Last commit
Sep 2026
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Catalog kind
skill
Gateway key
evo-transit-period-detection
Source
github.com/openlair/openskill