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UID:pretalx-adass2026-DXBJFU@pretalx.adass.org
DTSTART;TZID=AWST:20261105T113000
DTEND;TZID=AWST:20261105T114500
DESCRIPTION:Fiber-fed spectrographs now dominate ground-based astronomy. In
 tegral-field units map galaxies point by point\; multi-object systems plac
 e thousands of fibers across a field\; the facilities of the next decade w
 ill multiply both. Every one of these instruments needs the same reduction
 : trace the fibers\, calibrate wavelength and flux\, remove the sky\, and 
 assemble the results into spectra or cubes. The software foundation has no
 t kept pace. Much of the community still depends on IRAF\, which is no lon
 ger developed\, is written in a language few can maintain\, and requires i
 nteractive steps that cannot be scripted or reproduced. The alternative ha
 s been a separate pipeline for each instrument\, duplicating effort and re
 tiring with the hardware. Meanwhile\, expectations have risen: surveys mus
 t reduce data unattended for years\, archives must reproduce results long 
 after publication\, and students must be trained on tools with a future. T
 he gap between what fiber spectroscopy needs and what its software provide
 s is growing.\nWe developed FIBRA\, a Python pipeline that reduces fiber-f
 ed spectroscopy from raw detector frames to calibrated data cubes. One cod
 e base serves different instruments: an instrument is described by data fi
 les\, not by changes to the pipeline. Calibration steps that traditionally
  required an expert at a cursor run automatically and report their own con
 fidence. Sky subtraction follows instrument signatures across the field in
 stead of assuming a uniform sky. Uncertainties are carried through every s
 tage\, and cubes are built within the memory of an ordinary computer. Each
  step can be run in batch or tuned interactively\, and both produce the id
 entical result from the same configuration. Every product records how it w
 as made. The documentation is verified by the software itself and an illus
 trated guide takes a newcomer from raw data to a first measurement.\nThe t
 alk will present the design and walk through a complete night of data redu
 ced with the pipeline\, from raw frames to a science measurement. We will 
 focus on the decisions that matter beyond this one code: how a single pipe
 line serves many instruments\, how interactive work is made exactly repeat
 able\, and what this experience suggests for the teams now building reduct
 ion systems for the coming generation of fiber-fed facilities.
DTSTAMP:20261001T101659Z
LOCATION:Banquet Hall
SUMMARY:FIBRA: FIber Bundle Reduction of Astronomical spectra — an instru
 ment-agnostic pipeline for fiber-fed integral-field spectroscopy - Sabyasa
 chi Chattopadhyay
URL:https://pretalx.adass.org/adass2026/talk/DXBJFU/
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