The Apple Silicon Gravitational-Wave Cluster project utilizes the power of Apple Silicon M2 processors to construct a high-performance cluster tailored for gravitational-wave astronomy.
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Updated
Dec 11, 2024 - Shell
The Apple Silicon Gravitational-Wave Cluster project utilizes the power of Apple Silicon M2 processors to construct a high-performance cluster tailored for gravitational-wave astronomy.
Detection of Gravitational Waves
Python pipeline for comparing EMRI surrogate and EOBNRv2HM gravitational wave models across extreme mass ratios. Quantifies waveform mismatch, merger-region error, and computation time. Includes diagnostics that identified a float32 precision bug in the EMRI surrogate model. Built for HPC.
qcextender is a Python package for extending and unifying gravitational waveform generation across libraries.
Completed solutions, analyses, and documentation for the Gravitational Wave Open Data Workshop 2026, covering the full gravitational-wave data analysis pipeline from data-access and waveform generation to matched filtering, Bayesian parameter estimation, event detection, and continuous-wave searches using Python, PyCBC, GWpy, Bilby, and LALSuite.
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