Transition Redshift: New Kinematic Constraints from Supernovae
J. V. Cunha, J. A. S. Lima

TL;DR
This paper constrains the transition redshift from deceleration to acceleration using supernova data, confirming recent acceleration and past deceleration in a model-independent way, with improved estimates of the transition redshift.
Contribution
It introduces a kinematic approach to determine the transition redshift using two parameterizations and multiple supernova samples, providing updated and consistent estimates independent of cosmological models.
Findings
Best fit transition redshift from SNLS data is z_t=0.61.
Results favor recent acceleration and past deceleration.
Findings are consistent with the ΛCDM model.
Abstract
The transition redshift (deceleration/acceleration) is discussed by expanding the deceleration parameter to first order around its present value. A detailed study is carried out by considering two different parameterizations: and , and the associated free parameters () are constrained by 3 different supernova samples. The previous analysis by Riess {\it{et al.}} [ApJ 607, 665, 2004] using the first expansion is slightly improved and confirmed in light of their recent data ({\emph{Gold}}07 sample). However, by fitting the model with the Supernova Legacy Survey (SNLS) type Ia sample we find that the best fit to the redshift transition is instead of as derived by the High-z Supernovae Search (HZSNS) team. This result based in the SNLS sample is also in good agreement with the Davis {\it{et al.}} sample,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
