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VERSION:2.0
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SUMMARY:M2FINDERS - Bayesian Imaging algorithm RESOLVE applied to Very-Lon
 g-Baseline Interferometry
DTSTART;VALUE=DATE-TIME:20221024T140000Z
DTEND;VALUE=DATE-TIME:20221027T152500Z
DTSTAMP;VALUE=DATE-TIME:20260718T003018Z
UID:indico-event-294@cern.ch
DESCRIPTION:This workshop introduces Bayesian imaging in Very-Long-Baselin
 e Interferometry combined with hands-on tutorials using Bayesian imaging l
 ibrary RESOLVE\n\nLecturers : Philipp Arras (MPI for Astrophysics\, TU Mun
 ich)\, Jakob Knollmüller (TU Munich)\n\nTopics:\n\n\n	Introduction to Bay
 esian statistics and information field theory\n	Imaging and calibration of
  interferometric data with the Bayesian algorithm resolve\n	The same for V
 LBI data\, i.e. using closure quantities\n	Extension to time- and frequenc
 y-resolved reconstructions\n\n\n \n\nInstall Nifty8 and Resolve:\n\nNifty
 8 - http://ift.pages.mpcdf.de/nifty/nifty8/user/installation.html\n\nResol
 ve - https://gitlab.mpcdf.mpg.de/ift/resolve\n\n \n\nYou can find python 
 scripts from the material below\n\n \n\nmore information:\n\nhttps://www.
 philipp-arras.de/2022bonn.html\n\n \n\n\n\nWorkshop Group Picture\n\nhttp
 s://events.mpifr-bonn.mpg.de/indico/event/294/
LOCATION:MPI für Radioastronomie 3.25
URL:https://events.mpifr-bonn.mpg.de/indico/event/294/
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