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Updated: Aug 14, 2026
08:42
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Rank-Based Detection of Gravitational-Wave Transients Using Chatterjee Correlation
Daniel Beltran Martinez1, Carlos Delgado Mendez1, Carlos Diaz Ginzo1
1Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas (CIEMAT), E-28040 Madrid, Spain.
Sensors (Basel, Switzerland)
|August 13, 2026
Summary
A new rank-based method efficiently detects gravitational-wave transients using Advanced LIGO data. This approach offers a computationally fast and template-free alternative for identifying cosmic events.
Area of Science:
- Astrophysics
- Gravitational Wave Astronomy
- Data Analysis
Background:
- Detecting short-duration gravitational-wave transients is crucial for understanding cosmic events.
- Existing methods often rely on waveform templates and can be sensitive to non-Gaussian noise.
Purpose of the Study:
- To introduce and evaluate a novel rank-based method for gravitational-wave transient detection.
- To assess the method's efficiency and sensitivity compared to traditional approaches.
Main Methods:
- Applied Chatterjee's rank correlation coefficient in a moving-window analysis of Advanced LIGO O1 data.
- Utilized whitened interferometric sensor strain data, avoiding waveform templates.
- Processed dual-detector data in real-time on a single CPU core.
Main Results:
- Successfully recovered 28 compact binary coalescence injections from 60 hardware injections.
- Identified 31 transient candidates, including the significant event GW150914.
- Demonstrated computational efficiency and potential for reduced sensitivity to non-Gaussian noise.
Conclusions:
- The rank-based detection method is feasible and computationally efficient for transient detection.
- This approach offers a complementary strategy for low-latency gravitational-wave searches.
- Further development could enhance sensitivity for future observing runs.
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