GPU-accelerated Plavchan periodogram calculation
Project description
Plavchan-GPU
A GPU-accelerated implementation of the Plavchan periodogram for time series analysis in astronomy.
Installation
pip install plavchan_gpu
Requirements
- CUDA-capable GPU and CUDA toolkit > 11.0
- Python 3.6+
Usage
from plavchan_gpu import plavchan_periodogram
# Example data
mags = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]] # List of magnitude lists for each object
times = [[1.0, 2.0, 3.0], [1.5, 2.5, 3.5]] # List of time lists for each object
trial_periods = [0.1, 0.2, 0.3, 0.4, 0.5] # List of trial periods
# Calculate periodogram
result = plavchan_periodogram(mags, times, trial_periods, width=0.1)
# result will be a list of periodogram values for each object and trial period
License
MIT
Project details
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