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UID:pretalx-adass2026-UWABRY@pretalx.adass.org
DTSTART;TZID=AWST:20261103T164500
DTEND;TZID=AWST:20261103T170000
DESCRIPTION:Recent advances in software and data-processing strategies have
  transformed the capabilities of the LOw Frequency ARray (LOFAR)\, enablin
 g wide-field radio imaging at unprecedented depth and angular resolution. 
 In this talk\, I will present the developments that have made ultra-deep s
 ub-arcsecond imaging with LOFAR both computationally feasible and scientif
 ically transformative.\n\nI will describe improvements to the LOFAR-VLBI i
 maging pipeline (PILOT)\, including automated self-calibration driven by s
 ignal-to-noise metrics\, machine-learning-based image quality assessment\,
  and optimised processing strategies that reduce computational costs by fa
 ctors of 4-6 compared to previous approaches. To demonstrate these capabil
 ities\, we applied the updated pipeline to 200 hours of LOFAR High-Band An
 tenna observations of the ELAIS-N1 field\, which corresponds to processing
  400 TB of visibility data. The resulting image reaches a central sensitiv
 ity of 5.6 μJy beam⁻¹ at 0.3 arcsec resolution over a 2.5×2.5 deg² f
 ield\, making it the deepest radio image below 3 GHz and one of the deepes
 t radio images ever produced. This dataset opens a new window on the faint
  radio-source population\, from distant active galactic nuclei to some of 
 the earliest star-forming galaxies. More broadly\, it demonstrates how adv
 ances in calibration\, automation\, and computational efficiency are pavin
 g the way for the next generation of ultra-deep radio surveys with LOFAR 2
 .0 and eventually the Square Kilometre Array (SKA).
DTSTAMP:20261001T101731Z
LOCATION:Banquet Hall
SUMMARY:Pushing LOFAR to its limits: Automated ultra-deep sub-arcsecond rad
 io imaging below 200 MHz - Jurjen
URL:https://pretalx.adass.org/adass2026/talk/UWABRY/
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