Calypso is a parameter-conditioned stochastic surrogate model for circumbinary accretion flows using PCA and multivariate Gaussian modeling, released as open-source software with a closed-form likelihood for parameter inference from time series.
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A new sample of 157 mid-IR dual AGN candidates in mergers yields 13 confirmed cases and 63 strong candidates at separations 14.5-129 kpc, over half beyond 50 kpc, with diverse BPT classes and 31% in multi-mergers.
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\texttt{calypso}: a Parameter-Conditioned Stochastic Surrogate Model for Circumbinary Accretion Time-Series
Calypso is a parameter-conditioned stochastic surrogate model for circumbinary accretion flows using PCA and multivariate Gaussian modeling, released as open-source software with a closed-form likelihood for parameter inference from time series.