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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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
3D hydro + 2.5PN simulations of an equal-mass 10^6 M_sun MBHB in a 0.1-aspect-ratio locally isothermal CBD measure a gas-induced orbital phase shift of 0.12 rad over 600 cycles, claimed detectable by LISA at z=1.
Radiation hydrodynamic simulations of wind-reprocessed TDEs reveal a ~3-week offset between optical/UV and bolometric light curve peaks due to the buildup time of the reprocessing layer.
A large collaboration compiles and compares merger rate predictions for massive black holes across multiple galaxy formation models to forecast LISA detections and quantify uncertainties.
citing papers explorer
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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.
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Gas-induced perturbations on the gravitational wave in-spiral of live post-Newtonian LISA massive black hole binaries: 0.1 disk aspect ratio
3D hydro + 2.5PN simulations of an equal-mass 10^6 M_sun MBHB in a 0.1-aspect-ratio locally isothermal CBD measure a gas-induced orbital phase shift of 0.12 rad over 600 cycles, claimed detectable by LISA at z=1.
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The Light Curve of Wind-Reprocessed Tidal Disruption Events
Radiation hydrodynamic simulations of wind-reprocessed TDEs reveal a ~3-week offset between optical/UV and bolometric light curve peaks due to the buildup time of the reprocessing layer.
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The LISA Astrophysics MBHcatalogues Project: A comparison of predictions of simulated massive black hole binaries
A large collaboration compiles and compares merger rate predictions for massive black holes across multiple galaxy formation models to forecast LISA detections and quantify uncertainties.