Lodha: Understanding Dark Energy using DESI DR2 BAO measurements / Pontzen: TBD
Event Details:
Location
Speaker: Kushal Lodha (KASI) / Andrew Pontzen (Durham University) In Person and zoom
Zoom info: https://stanford.zoom.us/j/98604058568
Lodha: I will discuss our latest results from the Dark Energy supporting paper of DESI DR2 BAO. Using a variety of parametric and non-parametric methods, our results indicate that extending the standard LCDM model with a two-parameter w(z) sufficiently captures trends in the current data. We examine three dark energy classes with distinct dynamics, including quintessence scenarios satisfying $w \geq -1$, to explore what underlying physics can explain such deviations. The current data indicate a clear preference for models that feature a phantom crossing; although alternatives lacking this feature are disfavored, they cannot yet be ruled out. Our analysis confirms that the evidence for dynamical dark energy, particularly at low redshift ($z \lesssim 0.3$), is robust and stable under different modeling choices.
Related Topics
Explore More Events
KIPAC Seminar: Model Predictive Scoring Shows Specific BAO Observations Drive w0wa Tension
Tanvir Karim (Univ. of Toronto)Campus, Varian 206-Campus, Varian 206KIPAC Tea Talk: Characterizing Turbulence in Circumgalactic Gas / Calibrating Semi-Analytic Models to Beyond Cold Dark Matter
Mandy Chen (Caltech & Carnegie Observatories), Dimple Sarnaaik (Carnegie Science Observatories & USC)Campus, PAB 102/103-Campus, PAB 102/103