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SUMMARY:Louis Perenon (U. Western Cape)
DTSTART:20210520T140000Z
DTEND:20210520T150000Z
DTSTAMP:20260423T003236Z
UID:IFTWeb/51
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/IFTWeb/51/">
 Multi-tasking the growth of cosmological structures</a>\nby Louis Perenon 
 (U. Western Cape) as part of IFT-Madrid Webinars\n\n\nAbstract\nNext-gener
 ation large-scale structure surveys will deliver a significant increase in
  the precision of growth data\, allowing us to use `agnostic' methods to s
 tudy the evolution of perturbations without the assumption of a cosmologic
 al model. We focus on a particular machine learning tool\, Gaussian proces
 ses\, to reconstruct the growth rate f\, the root mean square of matter fl
 uctuations \\sigma_8\, and their product f\\sigma_8. We apply this method 
 to simulated data\, representing the precision of upcoming Stage IV galaxy
  surveys. We extend the standard single-task approach to a multi-task appr
 oach that reconstructs the three functions simultaneously\, thereby taking
  into account their inter-dependence. We find that this multi-task approac
 h outperforms the single-task approach for future surveys and will allow u
 s to detect departures from the standard model with higher significance. B
 y contrast\, the limited sensitivity of current data severely hinders the 
 use of agnostic methods\, since the Gaussian processes parameters need to 
 be fine tuned in order to obtain robust reconstructions.\n
LOCATION:https://researchseminars.org/talk/IFTWeb/51/
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