Gravitational Wave Data Conditioning

Data conditioning is essential before matched filtering. Raw gravitational wave detector data contains low-frequency noise, instrumental artifacts, and needs proper sampling rates for computational efficiency.

Overview

The conditioning pipeline typically involves:

1. High-pass filtering (remove low-frequency noise below ~15 Hz)
2. Resampling (downsample to appropriate sampling rate)
3. Crop filter wraparound (remove edge artifacts from filtering)
4. PSD estimation (calculate power spectral density for matched filtering)

High-Pass Filtering

Remove low-frequency noise and instrumental artifacts:

from pycbc.filter import highpass