Evidence for evolving dark energy from DESI DR2 BAO and Pantheon$$^+$$, DES-Dovekie, and Union3
Himanshu Chaudhary; Salvatore Capozzıello; Vipin Kumar Sharma; Isidro Gómez-Vargas; Ghulam Mustafa · 2026 · The European Physical Journal C
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract Evidences for evolving dark energy are shown using baryon acoustic oscillation measurements from the recent Dark Energy Spectroscopic Instrument Data Release 2, combined with different Type Ia supernova datasets (Pantheon $$^+$$ + , DES-Dovekie, and Union3) and the CMB compressed likelihood. We examine several dark energy parameterizations, including the Logarithmic, Exponential, CPL, BA, JBP, Thawing, Mirage, and GEDE models. Analyzing the DESI DR2 measurements alone, we find that evidence for evolving dark energy is primarily driven by the LRG1-2 tracers, as their inclusion yields a
Abstract by Himanshu Chaudhary; Salvatore Capozzıello; Vipin Kumar Sharma; Isidro Gómez-Vargas; Ghulam Mustafa, The European Physical Journal C (2026) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Scale-free networks are rare.
Negative / Null Result ReportScale-free networks are rare
Negative / Null Result ReportDark Matter Search Results from the CDMS II Experiment
Negative / Null Result ReportDetection of a gamma-ray source in the Galactic Center consistent with extended emission from dark matter annihilation and concentrated astrophysical emission
Negative / Null Result ReportTransient Water Vapor at Europa’s South Pole
Negative / Null Result ReportThe NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1140/epjc/s10052-026-15806-w
