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PRODID:UW-Madison-Physics-Events
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SEQUENCE:5
UID:UW-Physics-Event-9095
DTSTART:20250303T220000Z
DTEND:20250303T230000Z
DTSTAMP:20260413T165754Z
LAST-MODIFIED:20250303T232739Z
LOCATION:5280 CH & https://uwmadison.zoom.us/j/93056807183?pwd=bmRBTnF
 pQTZSYk1QSUVLb3BBY1M0QT09
SUMMARY:Towards Differentiable Physics Analysis at the High-Luminosity
  Large Hadron Collider and Beyond\, NPAC (Nuclear/Particle/Astro/Cosmo
 ) Forum\, Dr. Matthew Feickert\, University of Wisconsin - Madison
DESCRIPTION:With the High-Luminosity Large Hadron Collider (HL-LHC) er
 a on the horizon for physics analysis at the LHC experiments\, there a
 re multiple data\, computing\, and analysis challenges to be overcome 
 to efficiently analyze and extract the most scientific value from the 
 unique and valuable data collected. These challenges also offer opport
 unities for innovation. How can new data science tools maximize analys
 is efficiency to reduce the time to insight? How can applications of a
 rtificial intelligence and machine learning (AI/ML) increase analysis 
 sensitivity to reach new results sooner with less data? What previousl
 y computationally unfeasible analyses are unlocked by intelligently sc
 aling analysis workflows?
\n
\nIn this seminar\, I will present an ove
 rview for how we can apply powerful new tools and technologies to meet
  these challenges\, advance the frontiers of particle physics\, and op
 en doors of collaboration with other fields. We'll explore an ecosyste
 m of modern open source data science tools that is enabling new physic
 s analysis workflows at scale. We'll then discuss how AI/ML techniques
  and applications from the broader fields of automatic differentiation
  and differentiable programming are being integrated into analysis at 
 the LHC\, offering new opportunities. Finally\, I will demonstrate how
  strategies for enabling analysis reuse can be leveraged to tackle sci
 entific workflows at the HL-LHC scale and beyond\, unlocking new appro
 aches to analyses.
URL:https://www.physics.wisc.edu/events/?id=9095
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