BEGIN:VCALENDAR VERSION:2.0 PRODID:-//linuxsoftware.nz//NONSGML Joyous v1.4//EN BEGIN:VEVENT SUMMARY:Examining the Hubble tension with differences in supernova and hos t galaxies properties DTSTART:20251119T160000Z DTEND:20251119T180000Z DTSTAMP:20260812T102050Z UID:f20ef9e4-8070-4059-931f-f16def05c592 SEQUENCE:3 CREATED:20251117T100137Z DESCRIPTION:LINKThe persistent 4–6σ discrepancy between early- and late -time measurements of the Hubble constant ( ) is known as the "\;Hubbl e tension"\; and represents one of the major open problems in modern c osmology. In this work\, we investigate how differences in light-curve par ameters ( \, ) and host galaxy properties ( e sSFR) between the calibratio n and Hubble Flow (HF) Type Ia supernova (SN Ia) samples affect the SN lum inosity standardization and the estimation. To do that\, we generate subsa mples from both samples and use them to estimate \, \, α\, β\, and . Bot h one- and multi-dimensional Kolmogorov–Smirnov tests are used to evalua te the consistency between the subsamples property distributions and analy ze how the estimated parameters vary with the better matching of the subsa mples. We find that the calibration sample is not fully representative of the HF sample\, particularly in and sSFR. Improving consistency between su bsamples leads to significant trends in \, \, α and \, although overall v alues remain broadly stable. More consistent subsamples also tend to produ ce a mass step consistent with zero within 1σ. We also try to disentangle SN subpopulations using different approaches\, identifying consistent dif ferences in ( 2–3σ) and ( 2σ)\, estimated using low- and high-stretch SN subpopulations\, likely due to variations in dust properties and intrin sic color that are not captured by the standard β parameter. This results also suggest that the underlying SN subpopulations might contribute to ad ditional dispersion in estimates. LAST-MODIFIED:20251117T100431Z LOCATION:Sala V1.01 (Piso 1 do Pavilhão de Civil) do IST/Online URL:http://df.vps.tecnico.ulisboa.pt/pt/eventos/examining-the-hubble-tensi on-with-differences-in-supernova-and-host-galaxies-properties/ X-ALT-DESC;FMTTYPE=text/html:

LINK

The persistent 4–6σ discrepancy between early- and late-time measurements of the Hubble consta nt ( ) is known as the "\;Hubble tension"\; and represents one of the major open problems in modern cosmology. In this work\, we investigate how differences in light-curve parameters ( \, ) and host galaxy properti es ( e sSFR) between the calibration and Hubble Flow (HF) Type Ia supernov a (SN Ia) samples affect the SN luminosity standardization and the estimat ion.

To do that\, we generate subsamples from both samples and u se them to estimate \, \, α\, β\, and . Both one- and mult i-dimensional Kolmogorov–Smirnov tests are used to evaluate the consiste ncy between the subsamples property distributions and analyze how the esti mated parameters vary with the better matching of the subsamples. We find that the calibration sample is not fully representative of the HF sample\, particularly in and sSFR. Improving consistency between subsamples leads to significant trends in \, \, α and \, although overall values re main broadly stable.

More consistent subsamples also tend to pro duce a mass step consistent with zero within 1σ. We also try to disentang le SN subpopulations using different approaches\, identifying consistent d ifferences in ( 2–3σ) and ( 2σ)\, estimated using low- and high-stretc h SN subpopulations\, likely due to variations in dust properties and intr insic color that are not captured by the standard β parameter. This resul ts also suggest that the underlying SN subpopulations might contribute to additional dispersion in estimates.

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