BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Constraining mixed dark matter models with the high-redshift Lyman
 -α forest - Olga Garcia Gallego / IoA
DTSTART:20250319T131500Z
DTEND:20250319T134000Z
UID:TALK229528@talks.cam.ac.uk
CONTACT:128254
DESCRIPTION:In the standard cosmological model\, cold dark matter gives ri
 se to small-scale structure problems which Warm Dark Matter (WDM) in the k
 eV range may address. Previous studies have narrowed the mass range for WD
 M\, but further testing is increasingly challenging due to resolution limi
 ts of current spectrographs. Given the lack of success in laboratory dark 
 matter searches\, an intriguing alternative has recently re-emerged—a mi
 xed dark matter scenario that combines cold and warm components\, known as
  Cold+Warm Dark Matter (CWDM).  In this framework\, structure formation is
  influenced by the free-streaming of the warm component at the small scale
 s probed by the Lyman-α forest\, requiring hydrodynamical simulations to 
 account for non-linear structure evolution and gas dynamics.\n\nThis prese
 ntation focuses on updated constraints on CWDM derived from high resolutio
 n and high-redshift (z=4.2−5.0) spectra from UVES and HIRES spectrograph
 s. We use the 1D flux power spectrum to compare simulated Lyman-α forest 
 to observational data in a Bayesian inference framework. The grid of simul
 ations spans a high-dimensional parameter space\, which we efficiently sam
 ple by implementing a neural network emulator at the likelihood level.\n\n
 Beyond 1D clustering statistics\, these allowed mixed dark matter models c
 an accommodate small-scale deviations in the high-k regime of the matter p
 ower spectrum\, potentially alleviating the S8 tension.
LOCATION:The Hoyle Lecture Theatre + Zoom 
END:VEVENT
END:VCALENDAR