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Author

G. Demasi

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Preprint Sep 2026

Massively parallel transdimensional sampling with data assimilation: an application to LISA galactic binaries

A transdimensional Sequential Monte Carlo (SMC) framework designed to exploit massive parallelism that evolves a population of particles through a sequence of tempered distributions and uses the No-U-Turn Sampler for the exploration of fixed-dimensional parameter space while reversible-jump birth and death moves allow...

G. Demasi, W. Del Pozzo · 0 citations

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