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SUMMARY:Merging binary black holes\, the first ten years
DTSTART:20260218T160000Z
DTEND:20260218T180000Z
DTSTAMP:20260706T214508Z
UID:8a6d2c17-9397-4175-882d-da0083aff723
SEQUENCE:1
CREATED:20260216T100002Z
DESCRIPTION: The black-hole mergers observed by LIGO and Virgo are ultimat
 ely driven by the emission of energy and angular momentum via gravitationa
 l waves. Yet general relativity alone is not enough to explain the existen
 ce of merging compact-object binaries. For instance\, black-hole binaries 
 of ~10 M☉ orbiting at separations of ~10 R☉ would take longer than a H
 ubble time to merge under gravitational radiation reaction alone. Addition
 al astrophysical processes are therefore required to bring these binaries 
 into the gravitational-wave regime. Understanding the origin and evolution
  of merging compact binaries remains one of the central challenges in grav
 itational-wave astronomy and has motivated the development of a variety of
  formation scenarios. In this talk\, I will present a status update on the
  formation-channel problem\, with a specific focus on hierarchical black-h
 ole mergers. Along the way\, I will highlight the statistical challenge we
  face: inferring the properties of a population of sources from noisy meas
 urements subject to strong selection effects. Recent advances in hierarchi
 cal Bayesian inference--and\, why not\, a touch of machine learning--are e
 nabling us to extract increasingly detailed information from gravitational
 -wave data. These methods are laying the foundation for the time when our 
 field will fully transition into a genuine big-data science. 
LAST-MODIFIED:20260216T100002Z
LOCATION:Anfiteatro PA1 (Piso -1 do Pavilhão de Matemática) do IST
URL:http://df.vps.tecnico.ulisboa.pt/en/events/merging-binary-black-holes-
 the-first-ten-years/
X-ALT-DESC;FMTTYPE=text/html:<p data-block-key="wbyvm"> The black-hole mer
 gers observed by LIGO and Virgo are ultimately driven by the emission of e
 nergy and angular momentum via gravitational waves. Yet general relativity
  alone is not enough to explain the existence of merging compact-object bi
 naries. For instance\, black-hole binaries of ~10 M☉ orbiting at separat
 ions of ~10 R☉ would take longer than a Hubble time to merge under gravi
 tational radiation reaction alone. <br/><br/>Additional astrophysical proc
 esses are therefore required to bring these binaries into the gravitationa
 l-wave regime. Understanding the origin and evolution of merging compact b
 inaries remains one of the central challenges in gravitational-wave astron
 omy and has motivated the development of a variety of formation scenarios.
  In this talk\, I will present a status update on the formation-channel pr
 oblem\, with a specific focus on hierarchical black-hole mergers.<br/><br/
 > Along the way\, I will highlight the statistical challenge we face: infe
 rring the properties of a population of sources from noisy measurements su
 bject to strong selection effects. Recent advances in hierarchical Bayesia
 n inference--and\, why not\, a touch of machine learning--are enabling us 
 to extract increasingly detailed information from gravitational-wave data.
  These methods are laying the foundation for the time when our field will 
 fully transition into a genuine big-data science. </p>
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