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UID:pretalx-adass2026-NQTYNR@pretalx.adass.org
DTSTART;TZID=AWST:20261104T113000
DTEND;TZID=AWST:20261104T114500
DESCRIPTION:Data Fusion involves combining data from multiple facilities (x
 -ray through optical and infrared to radio)\, to understand the total ener
 gy output of astronomical objects and galaxies in particular. This data fu
 sion process is vital to estimate robust distances (e.g.\, photometric red
 shifts)\, estimate accurate stellar masses (and other physical properties)
 \, and to assess the dynamical state of the objects we’re studying (e.g.
 \, merger and structure). However\, to perform data fusion on millions of 
 objects over hundreds of thousands of square degrees\, requires addressing
  issues such as mismatched resolutions and sensitivities\, footprint cover
 age and variable point-spread functions. Critically producing reliable rob
 ust measurements cannot be achieved in catalogue space\, and but needs to 
 be done at the pixel level. With many modern facilities now advocating a 
 “bring your compute to the data” approach\, this may actively present 
 a serious barrier to multi-facility science. In this talk we will illustra
 te the problems and barriers\, highlight how important data fusion is thro
 ugh examples from the Galaxy And Mass Assembly (GAMA) and Wide Area VISTA 
 Extragalactic Survey (WAVES)\, and advocate for a global international cap
 bility that can bring diverse pixels to the compute to enable data fusion 
 from x-ray (eROSITA) to ultraviolet (GALEX)\, optical (LSST)\, infrared (R
 oman\, Euclid\, WISE\, Herschel) and radio (ASKAP\, MWA).
DTSTAMP:20261001T101753Z
LOCATION:Banquet Hall
SUMMARY:Data Fusion: What is it and why "bringing compute to the data" may 
 endanger it! - Simon Driver
URL:https://pretalx.adass.org/adass2026/talk/NQTYNR/
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