Hierarchical Bayesian inference allows accurate recovery of intrinsic astrophysical source populations even when follow-up selection is unknown and correlated with parameters of interest.
I., Batalha, N., Thompson, S
2 Pith papers cite this work. Polarity classification is still indexing.
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Simulations of giant impacts between 0.2-4 Earth-mass planets yield post-impact luminosities of 5e-5 to 0.1 L_sun cooling over 1-2000 days, predicting 0-14 detections in Gaia DR4 and a comparable number in LSST.
citing papers explorer
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What You Don't Know Won't Hurt You: Self-Consistent Hierarchical Inference with Unknown Follow-up Selection Strategies
Hierarchical Bayesian inference allows accurate recovery of intrinsic astrophysical source populations even when follow-up selection is unknown and correlated with parameters of interest.
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Can giant impacts be directly detected in other star systems?
Simulations of giant impacts between 0.2-4 Earth-mass planets yield post-impact luminosities of 5e-5 to 0.1 L_sun cooling over 1-2000 days, predicting 0-14 detections in Gaia DR4 and a comparable number in LSST.