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VERSION:2.0
PRODID:-//linuxsoftware.nz//NONSGML Joyous v1.4//EN
BEGIN:VEVENT
SUMMARY:Experimental Particle Physics: from instrumentation and detection 
 to Machine Learning
DTSTART:20250528T150000Z
DTEND:20250528T160000Z
DTSTAMP:20260705T231856Z
UID:4724080f-bda5-4312-a7f6-9cb6e3c57395
SEQUENCE:2
CREATED:20250419T115721Z
DESCRIPTION:Modern Particle Physics experiments employ cutting-edge partic
 le detection technologies coupled with the latest advancements in data ana
 lysis methods to extract insights about the properties of fundamental part
 icles and their interactions. In this seminar\, Inês Ochoa and Rute Pedro
  will showcase the interplay between instrumentation and Machine Learning 
 in the ATLAS experiment at the LHC\, unveiling all from detector technolog
 y and operations to data taking and analysis. This journey will also explo
 re the landscape of colliders beyond the LHC horizon and discuss the lesso
 ns learned towards the design and construction of future experiments.
LAST-MODIFIED:20250419T115833Z
LOCATION:Anfiteatro Abreu Faro
URL:http://df.vps.tecnico.ulisboa.pt/en/events/experimental-particle-physi
 cs-from-instrumentation-and-detection-to-machine-learning/
X-ALT-DESC;FMTTYPE=text/html:<p data-block-key="7oeya">Modern Particle Phy
 sics experiments employ cutting-edge particle detection technologies coupl
 ed with the latest advancements in data analysis methods to extract insigh
 ts about the properties of fundamental particles and their interactions. I
 n this seminar\, Inês Ochoa and Rute Pedro will showcase the interplay be
 tween instrumentation and Machine Learning in the ATLAS experiment at the 
 LHC\, unveiling all from detector technology and operations to data taking
  and analysis. This journey will also explore the landscape of colliders b
 eyond the LHC horizon and discuss the lessons learned towards the design a
 nd construction of future experiments.</p>
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