Quantitative Bayesian inference using a deep-learning emulator detects 0.018-0.020 M_sun of helium in the Type Ic supernova 2014L.
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9 Pith papers cite this work, alongside 151 external citations. Polarity classification is still indexing.
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A trans-dimensional Bayesian model set averaging framework for 13C-MFA that averages flux estimates over uncertain network topologies using reversible jump MCMC and diffusive nested sampling.
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Joint speckle-atmosphere retrievals on JWST spectra of HD 19467 B and a field T dwarf detect H2O, CH4, CO, CO2 and NH3, yield carbon isotopic ratios of 154 and 85 respectively, and show near-solar metallicity with subsolar C/O.
Slice Monte Carlo integration partitions parameter space with a surrogate to enable variance-reduced stratified Monte Carlo estimation of integrals involving expensive target functions.
A simulation-based inference method with Gaussian process emulators trained on 1300 kilonova simulations recovers parameters accurately and rapidly while avoiding MCMC biases from likelihood misspecification.
LITMUS estimates reverberation lags with low false-positive rates by combining a lag grid with Gaussian approximations of the posterior, and uses Bayesian evidence to filter out spurious detections.
Customized chromatic noise models for 67 pulsars detect non-dispersive delays in 21 cases, alter achromatic noise inferences in 19, and enable solar wind density estimates over 1.5 cycles.
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Traces of Helium Detected in Type Ic Supernova 2014L
Quantitative Bayesian inference using a deep-learning emulator detects 0.018-0.020 M_sun of helium in the Type Ic supernova 2014L.
- Nonminimally coupled quintessence with sign-switching interaction