BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Australia Telescope National Facility - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Australia Telescope National Facility
X-ORIGINAL-URL:https://www.atnf.csiro.au
X-WR-CALDESC:Events for Australia Telescope National Facility
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Australia/Sydney
BEGIN:STANDARD
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20220402T160000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:20221001T160000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20230401T160000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:20230930T160000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20240406T160000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:20241005T160000
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20230927T150000
DTEND;TZID=Australia/Sydney:20230927T160000
DTSTAMP:20260504T041215
CREATED:20250819T071655Z
LAST-MODIFIED:20250819T071656Z
UID:14946-1695826800-1695830400@www.atnf.csiro.au
SUMMARY:S&A Colloquium: Chayan Chatterjee (UWA)
DESCRIPTION:Enabling rapid discovery of gravitational waves using machine learning\n\nAbstract\n\nGravitational waves are ripples in spacetime curvature created by some of the most energetic events in the universe like the collisions of compact astrophysical objects like black holes and neutron stars. These ripples propagate through space at the speed of light and are detected by several km long laser interferometers called LIGO and Virgo\, located in the US and Italy. The simultaneous observation of gravitational waves and prompt electromagnetic emissions from the compact object mergers can help reveal properties of extreme matter and gravity during and immediately after the coalescence. However\, such simultaneous observations rely on rapid detection and sky localization of gravitational waves\, often requiring alerts to be sent out before merger. \n\n In this seminar\, I will describe different machine learning models that I have developed to solve challenging problems in rapid gravitational wave discovery – pre- and post-merger sky localization\, and waveform extraction from real detector data. I will demonstrate the accuracy and feasibility of these methods on simulated data as well as on real gravitational wave events detected during the first three observation runs of LIGO and Virgo. Finally\, I will talk about the future scope of this research work and highlight some of the other areas in gravitational wave astronomy where these deep learning techniques can be applied. \nWatch recording\nEvent details\nDownload iCal\nCategory\nColloquia
URL:https://www.atnf.csiro.au/event/sa-colloquium-chayan-chatterjee-uwa/
CATEGORIES:Colloquia
ATTACH;FMTTYPE=image/jpeg:https://www.atnf.csiro.au/wp-content/uploads/2024/12/Colloq-27092023.jpg
END:VEVENT
END:VCALENDAR