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VERSION:2.0
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SUMMARY:Black hole ringing in General Relativity and beyond
DTSTART:20251127T143000Z
DTEND:20251127T160000Z
DTSTAMP:20260706T092305Z
UID:8e5e47c7-37c1-49f8-a0cc-779dc5f8db49
SEQUENCE:1
CREATED:20251124T093421Z
DESCRIPTION: The black hole ringdown offers a powerful window into both as
 tro- and fundamental physics. However\, the construction of an accurate an
 d reliable theoretical template for the interpretation of real data is cru
 cial. In this seminar\, I will discuss how ringdown modes respond to some 
 ditinct physical key-effects. First\, I will talk about the impact of a dy
 namical evolution of the black hole mass due to accretion or radiation. Th
 en\, I will present a parametrized framework to describe possible deviatio
 ns from General Relativity in the ringdown spectrum of spinning black hole
 s. Finally\, I will explore how incomplete ringdown modeling can bias para
 meter estimation for massive black hole binaries observed by LISA\, and as
 sess the optimal degree of accuracy of the template that is required acros
 s parameter space.  
LAST-MODIFIED:20251124T093421Z
LOCATION:DF Seminar Room (2-8.3)\, 2nd floor of Physics Building
URL:http://df.vps.tecnico.ulisboa.pt/en/events/black-hole-ringing-in-gener
 al-relativity-and-beyond/
X-ALT-DESC;FMTTYPE=text/html:<p data-block-key="8iinc"> The black hole rin
 gdown offers a powerful window into both astro- and fundamental physics. H
 owever\, the construction of an accurate and reliable theoretical template
  for the interpretation of real data is crucial. In this seminar\, I will 
 discuss how ringdown modes respond to some ditinct physical key-effects. <
 /p><p data-block-key="ck1l1"></p><p data-block-key="6ko22">First\, I will 
 talk about the impact of a dynamical evolution of the black hole mass due 
 to accretion or radiation. Then\, I will present a parametrized framework 
 to describe possible deviations from General Relativity in the ringdown sp
 ectrum of spinning black holes. Finally\, I will explore how incomplete ri
 ngdown modeling can bias parameter estimation for massive black hole binar
 ies observed by LISA\, and assess the optimal degree of accuracy of the te
 mplate that is required across parameter space.  </p>
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