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stat.ME2026
Compensator-based inference for signal detection under unknown background: the binned data case
Aritra Banerjee, Sara Algeri
The problem of signal detection under an unknown background can be framed as one of inferring the weight of a mixture model with one misspecified component. Banerjee and Algeri (20…
stat.ME2026
Compensator-Based Inference for Signal Detection Under Unknown Background
Aritra Banerjee, Sara Algeri
The problem of detecting new signals in the presence of an unknown background is ubiquitous in scientific discoveries and is especially prominent in the physical sciences. Most sol…
astro-ph.IM2026
A scalable Bayesian framework for galaxy emission line detection and redshift estimation
Alexander Kuhn, Bonnabelle Zabelle, Sara Algeri +2
Estimating galaxy redshifts is crucial for constraining key physical quantities like those in the equation of state of dark energy. Modern telescopes such as the James Webb Space T…