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DESI 2024: Constraints on physics-focused aspects of dark energy using DESI DR1 BAO data

K. LodhaKorea Astronomy and Space Science InstituteA. ShafielooUniversity of Science and TechnologyR. CalderónKorea Astronomy and Space Science InstituteE. LinderUC, Berkeley, Space Sci. DeptWuhyun SohnKASI, DaeJeonJorge L. Cervantes–CotaCINVESTAV, IPNArnaud de MattiaIRFU, SaclayJ. García-BellidoUniversidad Autónoma de MadridM IshakThe University of Texas at DallasWilliam L. MatthewsonKorea Astronomy and Space Science InstituteJosé AguilarLawrence Berkeley National LaboratoryS. AhlenBoston UniversityDavid H. BrooksUniversity College LondonT. ClaybaughLawrence Berkeley National LaboratoryAxel de la MacorraUniversidad Nacional Autónoma de MéxicoA. DeyNSF NOIRLabBiprateep DeyUniversity of PittsburghP. DoelUniversity College LondonJ. E. Forero-RomeroUniversidad de los AndesE. GaztañagaInstitut d’Estudis Espacials de Catalunya (IEEC)Satya Gontcho A GontchoLawrence Berkeley National LaboratoryCullan HowlettUniversity of QueenslandS. JuneauNSF NOIRLabS. KentUniversity of ChicagoTheodore KisnerLawrence Berkeley National LaboratoryAdam LambertLawrence Berkeley National LaboratoryM. LandriauLawrence Berkeley National LaboratoryL. Le GuillouSorbonne UniversitéPaul MartiniLPNHE, ParisAaron MeisnerNSF NOIRLabR. MiquelBarcelona Institute of Science and TechnologyJohn MoustakasBarcelona, IFAEJ. A. NewmanUniversity of PittsburghG. NizUniversidad de Guanajuato—DCIN. Palanque‐DelabrouilleGuanajuato UWill J. PercivalLBL, BerkeleyClaire PoppettPerimeter Inst. Theor. PhysFrancisco PradaBCCP, BerkeleyGraziano RossiSejong UniversityV. Ruhlmann-KleiderUniversité Paris-SaclayE. SánchezCIEMATEdward F. SchlaflySpace Telescope Science InstituteD. SchlegelLawrence Berkeley National LaboratoryM. SchubnellUniversity of MichiganHee‐Jong SeoOhio UniversityDavid SprayberryG. TarléNatl. Solar Observ., TucsonB. A. WeaverNSF NOIRLabH. ZouChinese Academy of Sciences
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Baryon acoustic oscillation data from the first year of the Dark Energy Spectroscopic Instrument (DESI) provide near percent-level precision of cosmic distances in seven bins over the redshift range $z=0.1--4.2$. This paper is the follow-up to the original DESI BAO cosmology paper [A. G. Adame et al. (DESI Collaboration), arXiv:2404.03002], which considered the conventional ${w}_{0}{w}_{a}$ cold dark matter (CDM) model. We use the novel DESI data, together with other cosmic probes, to constrain the background expansion history using some well-motivated physical classes of dark energy. In particular, we explore three physics-focused behaviors of dark energy from the equation of state and energy density perspectives: the thawing class (matching many simple quintessence potentials), emergent class (where dark energy comes into being recently, as in phase transition models), and mirage class [where phenomenologically the distance to cosmic microwave background (CMB) last scattering is close to that from a cosmological constant $\mathrm{\ensuremath{\Lambda}}$ despite dark energy dynamics]. All three classes fit the data at least as well as $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$, and indeed can improve on it by $\mathrm{\ensuremath{\Delta}}{\ensuremath{\chi}}^{2}\ensuremath{\approx}\ensuremath{-}5$ to $\ensuremath{-}17$ for the combination of DESI BAO with CMB and supernova data while having one more parameter. The mirage class does essentially as well as ${w}_{0}{w}_{a}\mathrm{CDM}$ and exhibits moderate to strong Bayesian evidence preference with respect to $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$. These classes of dynamical behaviors highlight worthwhile avenues for further exploration into the nature of dark energy.

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