Presents a practical fully time-domain end-to-end likelihood for gravitational-wave inference with structured linear algebra and GPU acceleration.
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Constructs b_phi priors from HOD posteriors on DESI EDR data to recover unbiased f_NL even with assembly bias.
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Accelerated Time-domain Analysis for Gravitational Wave Astronomy
Presents a practical fully time-domain end-to-end likelihood for gravitational-wave inference with structured linear algebra and GPU acceleration.
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How I stop worrying about non-universality and $b_\phi$: Constraining local $f_{\rm NL}$ with $b_\phi$ priors from HOD posteriors
Constructs b_phi priors from HOD posteriors on DESI EDR data to recover unbiased f_NL even with assembly bias.