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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:3
UID:UW-Physics-Event-9373
DTSTART:20250925T193000Z
DTEND:20250925T203000Z
DTSTAMP:20260413T084208Z
LAST-MODIFIED:20250922T045231Z
LOCATION:Chamberlin 5280
SUMMARY:Recent Advances in Modeling Cosmic Ray Observations and New De
 velopments in Telescope Array Data Analysis\, NPAC (Nuclear/Particle/A
 stro/Cosmo) Forum\, Anatoli Fedynitch\, Academia Sinica\, Taiwan
DESCRIPTION:Understanding the cosmic ray flux is essential across astr
 oparticle physics. The observed spectrum and mass composition provide 
 critical inputs for modeling atmospheric muons and neutrinos\, dominan
 t backgrounds in neutrino observatories\, and for applied fields such 
 as muon tomography. In 2017\, we introduced the Global Spline Fit (GSF
 )\, an agnostic framework designed to let data guide the modeling with
  minimal assumptions. Nearly a decade later\, new results from space-b
 ased observatories (AMS\, DAMPE\, CALET) and dedicated measurements ne
 ar the knee (GRAPES\, LHAASO) enable a substantial update. I will pres
 ent the next-generation GSF2025 and discuss its implications for our g
 lobal view of cosmic rays from GeV to EeV.
\nIn the second part of the
  talk\, I will highlight our group’s ongoing effort to reinvent the 
 analysis chain of the Telescope Array surface detectors. Leveraging de
 ep neural network–based reconstruction\, we address systematic uncer
 tainties that stem from the unknown mass composition\, achieving signi
 ficant improvements in energy and angular resolution. This approach al
 so opens new possibilities for inferring primary mass and Xmax in futu
 re iterations. To rigorously propagate uncertainties\, we have develop
 ed a Bayesian forward-folding framework that naturally incorporates bo
 th intrinsic and external constraints into the measurement’s error b
 ands. 
URL:https://www.physics.wisc.edu/events/?id=9373
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