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SUMMARY:Timescape versus ΛCDM — precision tests of emerging spatial cur
 vature
DTSTART;VALUE=DATE-TIME:20260917T100500Z
DTEND;VALUE=DATE-TIME:20260917T103000Z
DTSTAMP;VALUE=DATE-TIME:20260922T160947Z
UID:indico-contribution-5704-31306@indico.ific.uv.es
DESCRIPTION:Speakers: David Wiltshire ()\nThe timescape cosmology returns 
 to first principles\, to explain apparent cosmic acceleration in the stati
 stical regime of general relativity. As inhomogeneities in density and exp
 ansion grow\, they back react on the average cosmic expansion\, which diff
 ers from conventional FLRW models. Crucially\, dynamical spatial curvature
  arises as time-varying gradients of the kinetic energy of expansion\, dep
 ending directly on the volume fraction of cosmic voids.\n\nThe timescape e
 xpansion history is close to ΛCDM\, but with differences at a precision w
 hich we are now finally probing. Whereas ΛCDM is increasingly challenged\
 , independent observational tests now favour timescape. In particular\, th
 e recent DESI evidence for "evolving dark energy" gives a dark energy "equ
 ation of state" w(z) consistent with timescape's non-FLRW evolution\, as p
 redicted in 2009. Projections made in 2014 for the Euclid mission showed t
 hat Euclid will distinguish FLRW expansion histories from those with emerg
 ing spatial curvature\, including timescape\, by the definitive Clarkson-B
 assett-Lu (CBL) test. The CBL test consists of two parts: the first part r
 equiring over 1000 precise type Ia supernova luminosity distance measureme
 nts was completed in our recent analysis of the Pantheon+ data\, finding v
 ery strong Bayesian evidence (ln B > 5) in favour of timescape over ΛCDM.
  Furthermore\, even restricting the sample to redshifts beyond any convent
 ional scale of statistical homogeneity\, z > 0.075\, timescape is preferre
 d over ΛCDM with ln B > 1. This was confirmed independently by the DES su
 rvey.\n\nThe second part of the CBL test involving Euclid BAOs over a reds
 hift range\, 0.7 \n\nhttps://indico.ific.uv.es/event/8160/contributions/31
 306/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31306/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Multifield cosmology with higher curvature terms
DTSTART;VALUE=DATE-TIME:20260917T094000Z
DTEND;VALUE=DATE-TIME:20260917T100500Z
DTSTAMP;VALUE=DATE-TIME:20260922T160947Z
UID:indico-contribution-5704-31307@indico.ific.uv.es
DESCRIPTION:Speakers: Lilia Anguelova (INRNE\, Bulgarian Academy of Scienc
 es)\nEffective actions with higher curvature terms can have cosmological s
 olutions exhibiting a transient phantom regime. I will discuss a generaliz
 ation of multifield cosmology in the presence of a higher curvature term\,
  namely the Gauss-Bonnet term. I will show that in this context there are 
 novel features of the so called rapid turn regime\, in which multifield mo
 dels of cosmic acceleration (i.e. of inflation or dark energy) are phenome
 nologically distinct from single-scalar ones.\n\nhttps://indico.ific.uv.es
 /event/8160/contributions/31307/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31307/
END:VEVENT
BEGIN:VEVENT
SUMMARY:TBA
DTSTART;VALUE=DATE-TIME:20260917T090000Z
DTEND;VALUE=DATE-TIME:20260917T094000Z
DTSTAMP;VALUE=DATE-TIME:20260922T160947Z
UID:indico-contribution-5704-31305@indico.ific.uv.es
DESCRIPTION:Speakers: Martina Gerbino (INFN Ferrara)\nhttps://indico.ific.
 uv.es/event/8160/contributions/31305/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31305/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Coffee Break
DTSTART;VALUE=DATE-TIME:20260917T083000Z
DTEND;VALUE=DATE-TIME:20260917T090000Z
DTSTAMP;VALUE=DATE-TIME:20260922T160947Z
UID:indico-contribution-5704-31304@indico.ific.uv.es
DESCRIPTION:https://indico.ific.uv.es/event/8160/contributions/31304/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31304/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dynamical dark energy from exponential f(R) gravity: cosmological 
 tensions and neutrino mass after DESI DR2
DTSTART;VALUE=DATE-TIME:20260917T080500Z
DTEND;VALUE=DATE-TIME:20260917T083000Z
DTSTAMP;VALUE=DATE-TIME:20260922T160947Z
UID:indico-contribution-5704-31302@indico.ific.uv.es
DESCRIPTION:Speakers: Simone D'Onofrio (ICE - CSIC)\nThe latest DESI DR2 B
 AO data favor a dynamical dark energy equation of state\, reviving the que
 stion of whether late-time modifications of gravity can ease the tensions 
 of the standard model. We test a generalized exponential $f(R)$ model with
  massive neutrinos\, which produces an effective dynamical dark energy at 
 low redshift while recovering $\\Lambda$CDM at early times. Through a Baye
 sian MCMC analysis combining cosmic chronometers\, DESI DR2 BAO\, the CMB 
 acoustic scale\, and Pantheon+ supernovae\, we constrain the model jointly
  with the total neutrino mass and compare it with $\\Lambda$CDM and w0waCD
 M. The exponential $f(R)$ model is statistically favored over $\\Lambda$CD
 M\, partially alleviates the Hubble tension\, and mildly relaxes the cosmo
 logical neutrino mass bound\, while retaining the theoretical foundation t
 hat the phenomenological CPL parameterization lacks. These results show ho
 w the interplay between modified gravity and neutrino physics offers a via
 ble route to addressing cosmological tensions.\n\nhttps://indico.ific.uv.e
 s/event/8160/contributions/31302/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31302/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Augmenting Galaxy Catalogues in FLAMINGO using Machine Learning
DTSTART;VALUE=DATE-TIME:20260917T074000Z
DTEND;VALUE=DATE-TIME:20260917T080500Z
DTSTAMP;VALUE=DATE-TIME:20260922T160947Z
UID:indico-contribution-5704-31303@indico.ific.uv.es
DESCRIPTION:Speakers: Elliot Scott (Newcastle University)\nRobust hydrodyn
 amic simulations are necessary for placing strong constraints on cosmologi
 cal parameters through the analysis pipelines of observations of statistic
 s such as galaxy clustering. However\, for these purposes\, the simulation
 s need both large box size and high resolution\, which is computationally 
 prohibitive. In this work we use the connection between galaxies and their
  host dark matter halos to populate dark-matter-only simulations\, using d
 ata from the FLAMINGO simulations suite. We employ the Extremely Randomize
 d Trees algorithm to model the connection between the mass profile\, histo
 ry and environment of dark matter halos and the probability distribution o
 f the stellar mass of the galaxy contained in the halo. However\, we also 
 demonstrate that dark matter properties which probe the centre of the dark
  matter profile are highly predictive when applied to data from hydrodynam
 ic simulations but are also sensitive to the baryonic feedback missing fro
 m dark-matter-only simulations. We use a Gaussian Processes emulator that 
 simultaneously optimises the hyperparameters of our model and selects for 
 the dark matter features which are predictive of the stellar mass while be
 ing insensitive to the differences between the hydrodynamic and dark-matte
 r-only simulations. Using this combination of features\, we produce novel 
 catalogues from large box dark-matter-only simulations in FLAMINGO. Our ca
 talogue from the FLAMINGO-10k simulation reproduces the galaxy stellar mas
 s function in the hydrodynamic simulations to within 0.1 dex in the range 
 of stellar masses to which the FLAMINGO stellar mass function was calibrat
 ed. We also reproduce the mean and scatter of the stellar mass-halo mass r
 elation to within 0.2 dex over a large range of halo masses. Furthermore w
 e find agreement in the two-point correlation function within several stel
 lar mass ranges to match to within 0.1 dex over a large range of length sc
 ales.\n\nhttps://indico.ific.uv.es/event/8160/contributions/31303/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31303/
END:VEVENT
BEGIN:VEVENT
SUMMARY:TBA
DTSTART;VALUE=DATE-TIME:20260917T070000Z
DTEND;VALUE=DATE-TIME:20260917T074000Z
DTSTAMP;VALUE=DATE-TIME:20260922T160947Z
UID:indico-contribution-5704-31301@indico.ific.uv.es
DESCRIPTION:Speakers: Willem Elbers (Institute for Computational Cosmology
 \, Durham University)\nhttps://indico.ific.uv.es/event/8160/contributions/
 31301/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31301/
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