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August 19, 2025Classical and Quantum Gravity50 citations

The SXS Collaboration’s third catalog of binary black hole simulations

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MSMark ScheelMBMichael BoyleKMKeefe Mitman

Key Points

  • The updated catalog now includes 3,756 binary black hole simulations, showing significant expansion and precision in parameters.
  • Using spectral methods has improved simulation efficiency by over 1,000 times compared to earlier methods, enhancing research accuracy.
  • The median waveform difference in the catalog is reported at 4 × 10−4, reflecting improved fidelity in simulations.
  • Public access to the entire catalog is now available through the sxs Python package, supporting further research into gravitational waves.

Abstract

Abstract We present a major update to the Simulating eXtreme Spacetimes (SXS) Collaboration’s catalog of binary black hole simulations. Using highly efficient spectral methods implemented in the Spectral Einstein Code (SpEC), we have nearly doubled the total number of binary configurations from 2,018 to 3,756. The catalog now more densely covers the parameter space with precessing simulations up to mass ratio q = 8 and dimensionless spins up to |χ⃗| ≤ 0.8 with near-zero eccentricity. The catalog also includes some simulations at higher mass ratios with moderate spin and more than 250 eccentric simulations. We have also deprecated and rerun some simulations from our previous catalog (e.g., simulations run with a much older version of SpEC or that had anomalously high errors in the waveform). The median waveform difference (which is similar to the mismatch) between resolutions over the simulations in the catalog is 4 × 10−4. The simulations have a median of 22 orbits, while the longest simulation has 148 orbits. We have corrected each waveform in the catalog to be in the binary’s center-of-mass frame and exhibit gravitational-wave memory. We estimate the total CPU cost of all simulations in the catalog to be 480,000,000 core-hours. We find that using spectral methods for binary black hole simulations is over 1,000 times more efficient than previously published finite-difference simulations. The full catalog is publicly available through the sxs Python package and at https://data.black-holes.org .

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Cite This Study

Scheel et al. (2025) studied this question.

synapsesocial.com/papers/68af4959ad7bf08b1ead5507https://doi.org/10.1088/1361-6382/adfd34
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