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.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
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.
citing papers explorer
-
\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.
-
The Hunt for Red Dual AGNs I: Spatially-Resolved Mid-IR Dual AGNs in the DeCam Legacy Survey
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.