The Long Road to Alignment: Measuring Black Hole Spin Orientation with Expanding Gravitational-Wave Datasets
Salvatore Vitale, Matthew Mould

TL;DR
This study assesses the challenges in measuring black hole spin orientations using gravitational-wave data, highlighting the difficulty of detecting true alignment peaks and advocating for robust, model-independent measurements with large datasets.
Contribution
The paper demonstrates the limitations of current methods in identifying spin tilt distributions and proposes that integrated, model-independent measurements are more reliable with expanding datasets.
Findings
Spurious peaks can appear even with 300 sources.
Detecting a true alignment peak remains difficult even with 1500 detections.
Integrated tilt measurements are more robust and informative.
Abstract
Measuring the distribution of spin tilts-the angles between the spin vectors and the binary orbital angular momentum-in stellar-mass binary black holes detected by LIGO-Virgo-KAGRA would provide valuable insight into their astrophysical origins. Analyses of the 69 binary black holes detected through LIGO-Virgo-KAGRA's third observing run yielded model-dependent conclusions, particularly regarding whether the spin tilt distribution exhibits a peak near alignment, as expected for binaries formed in galactic fields. In this work, we simulate populations of up to 1500 binary black hole systems with parameters consistent with the default GWTC-3 analysis, while introducing a correlation that favors small spin tilts for binaries with mass ratios near unity. We find that: (a) spurious peaks away from perfect alignment are possible even with catalogs of up to 300 sources; (b) establishing a…
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