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.
A., Sesana, A., & Gair, J
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Targeted PTA searches for CWs from 114 AGN in NANOGrav 15 yr data yield no detections, factor-of-two tighter limits than all-sky searches, and updated constraints ruling out part of the parameter space for a binary in 3C 66B.
Simulations forecast 21-51% probability of resolving individual SMBH binaries with PTAs in 0-10 years, with localization areas containing ~190k early-type galaxies on average and a ranking method that excludes roughly half the candidates when galaxy properties are available.
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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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The NANOGrav 15 yr Data Set: Targeted Searches for Supermassive Black Hole Binaries
Targeted PTA searches for CWs from 114 AGN in NANOGrav 15 yr data yield no detections, factor-of-two tighter limits than all-sky searches, and updated constraints ruling out part of the parameter space for a binary in 3C 66B.
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Prospects of resolving and localising individual supermassive black hole binaries with pulsar timing arrays: the host ranking challenge
Simulations forecast 21-51% probability of resolving individual SMBH binaries with PTAs in 0-10 years, with localization areas containing ~190k early-type galaxies on average and a ranking method that excludes roughly half the candidates when galaxy properties are available.