BEGIN:VCALENDAR VERSION:2.0 PRODID:-//linuxsoftware.nz//NONSGML Joyous v1.4//EN BEGIN:VEVENT SUMMARY:Black Hole Spectroscopy Tools for Waveform Modelling DTSTART:20250508T143000Z DTEND:20250508T160000Z DTSTAMP:20260512T225657Z UID:96b5c220-7b82-4b70-96b6-732f384bdb4f SEQUENCE:2 CREATED:20250505T141008Z DESCRIPTION:Next-generation gravitational-wave detectors will have enough sensitivity to resolve multiple ringdown frequencies from binary black hol e mergers. This requires high-fidelity waveform models to extract as much information as possible from these signals and perform tests of general re lativity. In this talk\, I will introduce two public tools for extracting the quasinormal mode amplitudes of binary black hole systems: qnmfits\, wh ich uses linear least-squares fitting\, and NRSurr3dq8_RD\, a surrogate mo del that uses machine learning to predict these amplitudes as well as remn ant parameters for areas of parameter space where we lack simulations. Wit h these tools at hand\, one can easily build analytical ringdown waveforms . LAST-MODIFIED:20250505T141020Z LOCATION:DF Seminar Room (2-8.3)\, 2nd floor of Physics Building URL:http://df.vps.tecnico.ulisboa.pt/pt/eventos/black-hole-spectroscopy-to ols-for-waveform-modelling/ X-ALT-DESC;FMTTYPE=text/html:

Next-generation gra vitational-wave detectors will have enough sensitivity to resolve multiple ringdown frequencies from binary black hole mergers. This requires high-f idelity waveform models to extract as much information as possible from th ese signals and perform tests of general relativity.

In this tal k\, I will introduce two public tools for extracting the quasinormal mode amplitudes of binary black hole systems: qnmfits\, which uses linear least -squares fitting\, and NRSurr3dq8_RD\, a surrogate model that uses machine learning to predict these amplitudes as well as remnant parameters for ar eas of parameter space where we lack simulations. With these tools at hand \, one can easily build analytical ringdown waveforms.

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