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DTSTAMP:20260202T201259Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251121T080000
DTEND;TZID=America/Chicago:20251121T120000
UID:submissions.supercomputing.org_SC25_sess620_post254@linklings.com
SUMMARY:Unraveling Distant Galaxies: Analyzing IFU Data with Parsl and Aca
 demy
DESCRIPTION:Daniel Babnigg (University of Chicago)\n\nIntegral field spect
 roscopy is a powerful technique in observational astrophysics enabling the
  study of spatially-complex objects like distant strongly-lensed galaxies.
  Integral field units (IFUs) are an increasingly common addition to many p
 owerful ground- and space-based observatories, which motivates the need fo
 r efficient and accurate data reduction pipelines. Using Parsl, we develop
 ed a scalable processing pipeline to obtain spatially-resolved calibrated 
 spectra for the integral field fiber head at Magellan (IFU-M) and the Mage
 llan/Michigan Fiber System (M2FS) at Las Campanas Observatory, Chile. To e
 nable fast filtering of cosmic rays, we integrated an Academy agent into t
 he pipeline that can learn the time-evolving parameters of the instrument 
 and accelerate that step by 1.5 while reducing the noise in the output spe
 ctra. We scaled the pipeline to 32 nodes, allowing one night of data to be
  processed in 25 minutes, a 16x speedup.\n\nTag: Research & ACM SRC Poster
 s\n\nRegistration Category: Technical Program Reg Pass\n\nSession Chairs: 
 Kento Sato (RIKEN Center for Computational Science (R-CCS)); Anja Gerbes (
 Georg-August-Universität Göttingen); and Chris Schlipalius (Pawsey Superco
 mputing Research Centre; Commonwealth Scientific and Industrial Research O
 rganisation (CSIRO), Australia)\n\n
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