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SUMMARY:An Agnostic Exploration of Novel Equation Structures for Dynamical
  Dark Energy
DTSTART;VALUE=DATE-TIME:20260917T143500Z
DTEND;VALUE=DATE-TIME:20260917T150000Z
DTSTAMP;VALUE=DATE-TIME:20261026T032541Z
UID:indico-contribution-31314@indico.ific.uv.es
DESCRIPTION:Speakers: Rebecca Briffa (University of Malta)\nCosmological t
 ensions between early- and late-Universe probes\, most notably the Hubble 
 tension in $H_0$ have intensified scrutiny of the ΛCDM paradigm and motiv
 ated flexible dark-energy scenarios beyond a cosmological constant. A pers
 istent obstacle is that the functional form of the dark-energy equation of
  state $w(a)$ is usually chosen by hand (e.g.wCDM or CPL)\, so potentially
  viable models may never be tested.\n\nWe present an automated pipeline th
 at searches a large combinatorial space of dynamical dark-energy parametri
 sations using a mask-based genetic algorithm coupled to the CLASS Boltzman
 n code. Each candidate is a sum of coefficient–shape terms $w(a)=\\sum c
 _i f_j(a)$\,  the genetic algorithm selects which terms are active\, while
  coefficients are constrained with datasets via Cobaya (with optional neur
 al-network acceleration through CLiENT). Fitness is driven by $\\chi^2$\, 
 enabling evolutionary discovery of competitive $w(a)$ structures without f
 ixing a single parametric ansatz a priori.\n\nThis approach sits at the in
 tersection of data-analysis and fundamental-physics themes: it uses evolut
 ionary optimisation and likelihood-driven model search to explore dark-ene
 rgy phenomenology that may help interpret\, and ultimately alleviate\, ten
 sions with the concordance model. We discuss validation against standard b
 aselines (including CPL)\, the best-performing symbolic forms found so far
 \, and the path toward multi-probe analyses (CMB\, BAO/DESI) needed to ass
 ess tension relief robustly.\n\nhttps://indico.ific.uv.es/event/8160/contr
 ibutions/31314/
LOCATION:
URL:https://indico.ific.uv.es/event/8160/contributions/31314/
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