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UID:pretalx-adass2026-WPUEXM@pretalx.adass.org
DTSTART;TZID=AWST:20261104T140000
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DESCRIPTION:Astronomy is firmly entrenched in the big data era\, with moder
 n surveys routinely generating terabyte-scale image cubes. The visualisati
 on and inspection of these massive datasets present significant challenges
 —bottlenecks that will only intensify with the advent of petabyte-scale 
 facilities such as the SKA\, ngVLA\, and LSST. The Cube Analysis and Rende
 ring Tool for Astronomy (CARTA) was developed to overcome these barriers. 
 CARTA’s client/server architecture empowers scientists to remotely inspe
 ct massive datasets in situ\, operating with a memory footprint far smalle
 r than the original data size. In this talk\, I will outline the specific 
 challenges associated with visualising TB-scale image cubes and demonstrat
 e how CARTA achieves smooth\, interactive inspection along different dimen
 sions. This is achieved\, in part\, by converting standard FITS files into
  a collection of datasets (currently saved in HDF5 format) tailored for ef
 ficient data retrieval. For instance\, CARTA enables rapid spectral inspec
 tion by generating a "rotated" dataset optimised for reading along the fre
 quency axis. I will discuss existing and planned solutions to further opti
 mise the FITS-to-HDF5 conversion process\, significantly reducing the time
  required to deliver inspection-ready data. Finally\, I will highlight ong
 oing efforts to implement a multi-server architecture to visualise dataset
 s stored in different locations across the globe.
DTSTAMP:20261001T101754Z
LOCATION:Banquet Hall
SUMMARY:Visualising Massive Astronomical Datasets with CARTA - Marcin Sokol
 owski
URL:https://pretalx.adass.org/adass2026/talk/WPUEXM/
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