box-least-squares

npx skills add majiayu000/claude-skill-registry --skill box-least-squares --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Box Least Squares (BLS) Periodogram The Box Least Squares (BLS) periodogram is a statistical tool for detecting transiting exoplanets and eclipsing binaries in photometric time series data. BLS models a transit as a periodic upside-down top hat (box shape) and finds the period, duration, depth, and reference time that best fit the data. ## Overview BLS is built into Astropy and provides an alternative to Transit Least Squares (TLS). Both search for transits, but with different implementations and performance characteristics. **Key parameters BLS searches for:** - Period (orbital period) - Duration (transit duration) - Depth (how much flux drops during transit) - Reference time (mid-transit time of first transit) ## Installation BLS is part of Astropy: ```bash pip install astropy ``` ## Basic Usage ```python import numpy as np import astropy.units as u from astropy.timeseries import BoxLeastSquares # Prepare data # time, flux, and flux_err should be numpy arrays or Quantities t = time * u.day # Add units if not already present y = flux dy = flux_err # Optional but recommended # Create BLS object model = BoxLeastSquares(t, y, dy=dy) # Automatic period search with specified duration

pip install astropy
pip install astropy numpy matplotlib
pip install lightkurve