Confronting general relativity with principal component analysis: Simulations and results from GWTC-3 events
Parthapratim Mahapatra, Sayantani Datta, Ish Gupta, Poulami Dutta Roy, Muhammed Saleem, Purnima Narayan, Soumen Roy, Jan Steinhoff, Deirdre Shoemaker, Alan J. Weinstein, Anuradha Gupta, B. S. Sathyaprakash, and K. G. Arun

TL;DR
This paper assesses the effectiveness of principal component analysis (PCA) in testing general relativity using simulated and real gravitational-wave data, demonstrating its ability to detect deviations and constrain parameters.
Contribution
The study introduces a PCA-based method for multiparameter tests of GR, validated with simulations and applied to GWTC-3 events, showing its robustness and potential for future gravitational-wave analyses.
Findings
PCA constrains deviations from GR with high precision.
Effective at identifying explicit GR violations in simulations.
Consistent results with GR for GWTC-3 events, supporting method robustness.
Abstract
We present a comprehensive assessment of multiparameter tests of general relativity (GR) in the inspiral regime of compact binary coalescences using principal component analysis (PCA). Our analysis is based on an extensive set of simulated gravitational-wave (GW) signals, including both general relativistic and non-GR sources, injected into zero-noise data colored by the noise power spectral densities of the LIGO and Virgo GW detectors at their designed sensitivities. We evaluate the performance of PCA-based methods in the context of two established frameworks: TIGER and FTI. For GR-consistent signals, we find that PCA enables stringent constraints on potential deviations from GR, even in the presence of multiple free parameters. Applying the method to simulated signals that explicitly violate GR, we demonstrate that PCA is effective at identifying such deviations. We further test the…
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