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VERSION:2.0
PRODID:-//New Space Economy//Space Events 1.0.0-beta.15//EN
CALSCALE:GREGORIAN
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X-WR-CALNAME:New Space Economy
BEGIN:VEVENT
UID:space-event-576cebcd-1899-4332-8353-e1463ce69e5a@space-events
SEQUENCE:12
DTSTAMP:20260928T111131Z
SUMMARY:Lighting up the Dark — Understanding Dark Matter from Particles t
 o Galaxies
DTSTART;VALUE=DATE:20270322
DTEND;VALUE=DATE:20270327
LOCATION:Sport & Kurhotel at Bad Moos\, Sexten\, Italy
DESCRIPTION:Scientific / technical meeting covering astronomy & astrophysic
 s\, space computing & autonomy. Despite constituting the majority of matte
 r in the Universe\, dark matter remains one of the most fundamental open p
 roblems in modern physics. Dark matter plays a central role in structure f
 ormation\, galaxy evolution\, and cosmology\, with compelling evidence ari
 sing from galaxy rotation curves\, gravitational lensing\, cosmic microwav
 e background anisotropies\, and large-scale structure measurements. Over t
 he past decades\, major progress has been achieved through the combined ef
 forts of observations\, numerical simulations\, and experimental searches.
  Galaxies\, large-scale structure\, and particle-physics experiments now p
 rovide complementary constraints on the nature of the dark sector. At the 
 same time\, direct and indirect detection experiments have yet to identify
  the underlying particle nature\, while small-scale tensions and emerging 
 observational discrepancies challenge aspects of the standard cosmological
  paradigm. In this rapidly evolving context\, new interdisciplinary approa
 ches are required. This focused workshop aims to bring together experts fr
 om cosmology\, galaxy evolution\, particle physics\, and data science to f
 oster dialogue across traditionally separated communities. Particular emph
 asis will be placed on the interplay between observations\, simulations\, 
 and experiments\, as well as on the growing role of data-driven methodolog
 ies such as machine learning and simulation-based inference. This workshop
  seeks to address the key questions listed in the following. How accuratel
 y can we map the dark matter distribution in the Universe? Do galaxies con
 firm ΛCDM predictions? Is the high redshift Universe presenting new chall
 enges for ΛCDM? Are detection strategies targeting the correct parameter 
 space? Are alternative models required? How can modern data science accele
 rate discovery?
URL:https://www.sexten-cfa.eu/event/lud27/
STATUS:TENTATIVE
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