Constraining quintessence models with integrated Sachs-Wolfe thermal Sunyaev-Zel’dovich cross-correlations: A comparative analysis of thawing, tracker, and scaling-freezing dynamics

We present constraints on quintessence dark energy models using the observational detection of the integrated Sachs-Wolfe (ISW)–thermal Sunyaev-Zeldovich (tSZ) cross-correlation dataset. Our analysis compares three classes of quintessence dynamics: thawing, tracker, and scaling-freezing with the standard <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"> <a:mrow> <a:mi mathvariant="normal">Λ</a:mi> </a:mrow> </a:math> cold dark matter ( <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline"> <d:mi mathvariant="normal">Λ</d:mi> <d:mi>CDM</d:mi> </d:math> ) cosmology. Through a comprehensive likelihood analysis, we derive best-fit values and 68% confidence intervals for key cosmological parameters, finding <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"> <g:mrow> <g:msub> <g:mrow> <g:mi mathvariant="normal">Ω</g:mi> </g:mrow> <g:mrow> <g:mi mathvariant="normal">m</g:mi> </g:mrow> </g:msub> <g:mo>=</g:mo> <g:mn>0.32</g:mn> <g:msubsup> <g:mrow> <g:mn>2</g:mn> </g:mrow> <g:mrow> <g:mo>−</g:mo> <g:mn>0.030</g:mn> </g:mrow> <g:mrow> <g:mo>+</g:mo> <g:mn>0.027</g:mn> </g:mrow> </g:msubsup> </g:mrow> </g:math> and <k:math xmlns:k="http://www.w3.org/1998/Math/MathML" display="inline"> <k:msub> <k:mi>σ</k:mi> <k:mn>8</k:mn> </k:msub> <k:mo>=</k:mo> <k:mn>0.73</k:mn> <k:msubsup> <k:mn>5</k:mn> <k:mrow> <k:mo>−</k:mo> <k:mn>0.035</k:mn> </k:mrow> <k:mrow> <k:mo>+</k:mo> <k:mn>0.045</k:mn> </k:mrow> </k:msubsup> </k:math> for <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"> <m:mi mathvariant="normal">Λ</m:mi> <m:mi>CDM</m:mi> </m:math> , with deviations in alternative models consistent within <p:math xmlns:p="http://www.w3.org/1998/Math/MathML" display="inline"> <p:mn>1</p:mn> <p:mi>σ</p:mi> </p:math> . For the thawing model, we consider an exponential potential with slope <r:math xmlns:r="http://www.w3.org/1998/Math/MathML" display="inline"> <r:mi>λ</r:mi> <r:mo>=</r:mo> <r:mn>0.73</r:mn> <r:msubsup> <r:mn>6</r:mn> <r:mrow> <r:mo>−</r:mo> <r:mn>0.227</r:mn> </r:mrow> <r:mrow> <r:mo>+</r:mo> <r:mn>0.270</r:mn> </r:mrow> </r:msubsup> </r:math> , while for the tracker and scaling-freezing models, we use inverse axionlike and double exponential potentials, respectively. Observationally, the tracker model yields <t:math xmlns:t="http://www.w3.org/1998/Math/MathML" display="inline"> <t:mrow> <t:mi>n</t:mi> <t:mo>=</t:mo> <t:mn>5.65</t:mn> <t:msubsup> <t:mrow> <t:mn>1</t:mn> </t:mrow> <t:mrow> <t:mo>−</t:mo> <t:mn>1.604</t:mn> </t:mrow> <t:mrow> <t:mo>+</t:mo> <t:mn>1.625</t:mn> </t:mrow> </t:msubsup> </t:mrow> </t:math> and <v:math xmlns:v="http://www.w3.org/1998/Math/MathML" display="inline"> <v:mi>f</v:mi> <v:mo>=</v:mo> <v:mn>0.25</v:mn> <v:msubsup> <v:mn>8</v:mn> <v:mrow> <v:mo>−</v:mo> <v:mn>0.096</v:mn> </v:mrow> <v:mrow> <v:mo>+</v:mo> <v:mn>0.149</v:mn> </v:mrow> </v:msubsup> </v:math> , and the scaling-freezing model gives <x:math xmlns:x="http://www.w3.org/1998/Math/MathML" display="inline"> <x:msub> <x:mi>λ</x:mi> <x:mn>1</x:mn> </x:msub> <x:mo>=</x:mo> <x:mn>0.40</x:mn> <x:msubsup> <x:mn>5</x:mn> <x:mrow> <x:mo>−</x:mo> <x:mn>0.322</x:mn> </x:mrow> <x:mrow> <x:mo>+</x:mo> <x:mn>0.293</x:mn> </x:mrow> </x:msubsup> </x:math> and <z:math xmlns:z="http://www.w3.org/1998/Math/MathML" display="inline"> <z:msub> <z:mi>λ</z:mi> <z:mn>2</z:mn> </z:msub> <z:mo>=</z:mo> <z:mn>23.22</z:mn> <z:msubsup> <z:mn>6</z:mn> <z:mrow> <z:mo>−</z:mo> <z:mn>7.258</z:mn> </z:mrow> <z:mrow> <z:mo>+</z:mo> <z:mn>7.975</z:mn> </z:mrow> </z:msubsup> </z:math> . The dimensionless tSZ amplitude ( <bb:math xmlns:bb="http://www.w3.org/1998/Math/MathML" display="inline"> <bb:msup> <bb:mover accent="true"> <bb:mi>W</bb:mi> <bb:mo stretchy="false">˜</bb:mo> </bb:mover> <bb:mrow> <bb:mi>SZ</bb:mi> </bb:mrow> </bb:msup> </bb:math> ) and cosmic infrared background (CIB) parameters are tightly constrained across all models, providing additional insights into astrophysical foregrounds. Our results demonstrate the effectiveness of ISW-tSZ cross-correlations as a probe of dark energy dynamics, with the thawing quintessence model yielding the lowest <fb:math xmlns:fb="http://www.w3.org/1998/Math/MathML" display="inline"> <fb:msubsup> <fb:mi>χ</fb:mi> <fb:mi>min</fb:mi> <fb:mn>2</fb:mn> </fb:msubsup> </fb:math> among the tested scenarios, and highlight the need for future high-precision measurements to distinguish between quintessence models and <hb:math xmlns:hb="http://www.w3.org/1998/Math/MathML" display="inline"> <hb:mi mathvariant="normal">Λ</hb:mi> <hb:mi>CDM</hb:mi> </hb:math> .

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Physical review. D/Physical review. D.
Published
2026-02-12
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https://doi.org/10.1103/grt1-234m
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Atmospheric aerosols and clouds
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article
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article

Constraining quintessence models with integrated Sachs-Wolfe thermal Sunyaev-Zel’dovich cross-correlations: A comparative analysis of thawing, tracker, and scaling-freezing dynamics

Jacob Oloketuyi, Prabhakar Tiwari, Shiriny Akthar, Amare Abebe et al.
Physical review. D/Physical review. D.
Atmospheric aerosols and clouds
article

Constraining quintessence models with integrated Sachs-Wolfe thermal Sunyaev-Zel’dovich cross-correlations: A comparative analysis of thawing, tracker, and scaling-freezing dynamics

Jacob Oloketuyi, Prabhakar Tiwari, Shiriny Akthar, Amare Abebe, Jackson Levi Said, Anonymous, Md. Wali Hossain, Xuelei Chen
article en

Abstract

We present constraints on quintessence dark energy models using the observational detection of the integrated Sachs-Wolfe (ISW)–thermal Sunyaev-Zeldovich (tSZ) cross-correlation dataset. Our analysis compares three classes of quintessence dynamics: thawing, tracker, and scaling-freezing with the standard <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"> <a:mrow> <a:mi mathvariant="normal">Λ</a:mi> </a:mrow> </a:math> cold dark matter ( <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline"> <d:mi mathvariant="normal">Λ</d:mi> <d:mi>CDM</d:mi> </d:math> ) cosmology. Through a comprehensive likelihood analysis, we derive best-fit values and 68% confidence intervals for key cosmological parameters, finding <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"> <g:mrow> <g:msub> <g:mrow> <g:mi mathvariant="normal">Ω</g:mi> </g:mrow> <g:mrow> <g:mi mathvariant="normal">m</g:mi> </g:mrow> </g:msub> <g:mo>=</g:mo> <g:mn>0.32</g:mn> <g:msubsup> <g:mrow> <g:mn>2</g:mn> </g:mrow> <g:mrow> <g:mo>−</g:mo> <g:mn>0.030</g:mn> </g:mrow> <g:mrow> <g:mo>+</g:mo> <g:mn>0.027</g:mn> </g:mrow> </g:msubsup> </g:mrow> </g:math> and <k:math xmlns:k="http://www.w3.org/1998/Math/MathML" display="inline"> <k:msub> <k:mi>σ</k:mi> <k:mn>8</k:mn> </k:msub> <k:mo>=</k:mo> <k:mn>0.73</k:mn> <k:msubsup> <k:mn>5</k:mn> <k:mrow> <k:mo>−</k:mo> <k:mn>0.035</k:mn> </k:mrow> <k:mrow> <k:mo>+</k:mo> <k:mn>0.045</k:mn> </k:mrow> </k:msubsup> </k:math> for <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"> <m:mi mathvariant="normal">Λ</m:mi> <m:mi>CDM</m:mi> </m:math> , with deviations in alternative models consistent within <p:math xmlns:p="http://www.w3.org/1998/Math/MathML" display="inline"> <p:mn>1</p:mn> <p:mi>σ</p:mi> </p:math> . For the thawing model, we consider an exponential potential with slope <r:math xmlns:r="http://www.w3.org/1998/Math/MathML" display="inline"> <r:mi>λ</r:mi> <r:mo>=</r:mo> <r:mn>0.73</r:mn> <r:msubsup> <r:mn>6</r:mn> <r:mrow> <r:mo>−</r:mo> <r:mn>0.227</r:mn> </r:mrow> <r:mrow> <r:mo>+</r:mo> <r:mn>0.270</r:mn> </r:mrow> </r:msubsup> </r:math> , while for the tracker and scaling-freezing models, we use inverse axionlike and double exponential potentials, respectively. Observationally, the tracker model yields <t:math xmlns:t="http://www.w3.org/1998/Math/MathML" display="inline"> <t:mrow> <t:mi>n</t:mi> <t:mo>=</t:mo> <t:mn>5.65</t:mn> <t:msubsup> <t:mrow> <t:mn>1</t:mn> </t:mrow> <t:mrow> <t:mo>−</t:mo> <t:mn>1.604</t:mn> </t:mrow> <t:mrow> <t:mo>+</t:mo> <t:mn>1.625</t:mn> </t:mrow> </t:msubsup> </t:mrow> </t:math> and <v:math xmlns:v="http://www.w3.org/1998/Math/MathML" display="inline"> <v:mi>f</v:mi> <v:mo>=</v:mo> <v:mn>0.25</v:mn> <v:msubsup> <v:mn>8</v:mn> <v:mrow> <v:mo>−</v:mo> <v:mn>0.096</v:mn> </v:mrow> <v:mrow> <v:mo>+</v:mo> <v:mn>0.149</v:mn> </v:mrow> </v:msubsup> </v:math> , and the scaling-freezing model gives <x:math xmlns:x="http://www.w3.org/1998/Math/MathML" display="inline"> <x:msub> <x:mi>λ</x:mi> <x:mn>1</x:mn> </x:msub> <x:mo>=</x:mo> <x:mn>0.40</x:mn> <x:msubsup> <x:mn>5</x:mn> <x:mrow> <x:mo>−</x:mo> <x:mn>0.322</x:mn> </x:mrow> <x:mrow> <x:mo>+</x:mo> <x:mn>0.293</x:mn> </x:mrow> </x:msubsup> </x:math> and <z:math xmlns:z="http://www.w3.org/1998/Math/MathML" display="inline"> <z:msub> <z:mi>λ</z:mi> <z:mn>2</z:mn> </z:msub> <z:mo>=</z:mo> <z:mn>23.22</z:mn> <z:msubsup> <z:mn>6</z:mn> <z:mrow> <z:mo>−</z:mo> <z:mn>7.258</z:mn> </z:mrow> <z:mrow> <z:mo>+</z:mo> <z:mn>7.975</z:mn> </z:mrow> </z:msubsup> </z:math> . The dimensionless tSZ amplitude ( <bb:math xmlns:bb="http://www.w3.org/1998/Math/MathML" display="inline"> <bb:msup> <bb:mover accent="true"> <bb:mi>W</bb:mi> <bb:mo stretchy="false">˜</bb:mo> </bb:mover> <bb:mrow> <bb:mi>SZ</bb:mi> </bb:mrow> </bb:msup> </bb:math> ) and cosmic infrared background (CIB) parameters are tightly constrained across all models, providing additional insights into astrophysical foregrounds. Our results demonstrate the effectiveness of ISW-tSZ cross-correlations as a probe of dark energy dynamics, with the thawing quintessence model yielding the lowest <fb:math xmlns:fb="http://www.w3.org/1998/Math/MathML" display="inline"> <fb:msubsup> <fb:mi>χ</fb:mi> <fb:mi>min</fb:mi> <fb:mn>2</fb:mn> </fb:msubsup> </fb:math> among the tested scenarios, and highlight the need for future high-precision measurements to distinguish between quintessence models and <hb:math xmlns:hb="http://www.w3.org/1998/Math/MathML" display="inline"> <hb:mi mathvariant="normal">Λ</hb:mi> <hb:mi>CDM</hb:mi> </hb:math> .

Physical review. D/Physical review. D.Vol. 113(6)
Technion – Israel Institute of Technology (IL), University of Malta (MT), North-West University (ZA), Adekunle Ajasin University (NG), National Institute for Theoretical Physics (ZA), National Astronomical Observatories (CN), Southwest Jiaotong University (CN), Jamia Millia Islamia (IN), Indian Institute of Technology Indore (IN)
Openalex Percentile: Top 69%
Atmospheric aerosols and clouds
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