Browsing by Autor "Arman Shafieloo"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Thumbnail Image
    Item type: Item ,
    Extended dark energy analysis using DESI DR2 BAO measurements
    (American Physical Society, 2025) K. Lodha; R. Calderón; William L. Matthewson; Arman Shafieloo; M Ishak; Jian Pan; C. García-Quintero; D Huterer; Georgios Valogiannis; Luís Alfonso Ureña López
    We conduct an extended analysis of dark energy constraints, in support of the findings of the Dark Energy Spectroscopic Instrument (DESI) second data release cosmology key paper, including DESI data, Planck cosmic microwave background observations, and three different supernova compilations. Using a broad range of parametric and nonparametric methods, we explore the dark energy phenomenology and find consistent trends across all approaches, in good agreement with the <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:msub><a:mi>w</a:mi><a:mn>0</a:mn></a:msub><a:msub><a:mi>w</a:mi><a:mi>a</a:mi></a:msub><a:mi>CDM</a:mi></a:math> (cold dark matter) key paper results. Even with the additional flexibility introduced by nonparametric approaches, such as binning and Gaussian processes, we find that extending <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mi mathvariant="normal">Λ</c:mi><c:mi>CDM</c:mi></c:math> to include a two-parameter <f:math xmlns:f="http://www.w3.org/1998/Math/MathML" display="inline"><f:mi>w</f:mi><f:mo stretchy="false">(</f:mo><f:mi>z</f:mi><f:mo stretchy="false">)</f:mo></f:math> is sufficient to capture the trends present in the data. Finally, we examine three dark energy classes with distinct dynamics, including quintessence scenarios satisfying <j:math xmlns:j="http://www.w3.org/1998/Math/MathML" display="inline"><j:mi>w</j:mi><j:mo>≥</j:mo><j:mo>−</j:mo><j:mn>1</j:mn></j:math>, 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 (<l:math xmlns:l="http://www.w3.org/1998/Math/MathML" display="inline"><l:mi>z</l:mi><l:mo>≲</l:mo><l:mn>0.3</l:mn></l:math>), is robust and stable under different modeling choices.