Uploaded August 2026 | Updated September 2026, 2 hours ago

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(Recorded on June 23, 2026)

16th LISA Symposium Parallel Sessions
Parallel 4-A: Backgrounds Techniques & Science


Presentations in this session:
00:00:10 - Hierarchical Bayesian population inference of Galactic Binaries (HBGB): simultaneous source/foreground estimation in the LISA global fit
Arianna Renzini

00:15:55 - Stochastic GW component inference with machine learning
Iuliu Cuceu

00:31:35 - A Noise Module for the Global Fit: Instrumental Noises and Stochastic Gravitational Wave Backgrounds in the Wilson-Debauchies-Meyer (WDM) Wavelet Domain
Robert Rosati

00:46:50 - Stochastic Low-Frequency Gravitational-Wave Background from Compact Object Captures by Massive Black Holes
Konstantinos Kritos

01:01:35 - Towards realistic LISA data cocktails: simulated data generation for Mojito
Jonathan Menu

01:16:00 - GalacticStochastic LISA Stochastic Background Prediction
Matthew Digman

Session Chair: Chiara Caprini