Constraints on kinematic models from the latest observational data
Jianbo Lu, Lixin Xu, Molin Liu

TL;DR
This paper uses recent observational data to constrain kinematic cosmological models, focusing on parameters like deceleration, jerk, and transition redshift, and compares these models to the standard $ ext{Lambda}$CDM model.
Contribution
It provides updated constraints on kinematic model parameters using the latest supernova and Hubble data, highlighting differences from the $ ext{Lambda}$CDM model.
Findings
Current data constrains deceleration and transition redshift.
Jerk parameter shows weak constraints from current data.
Departures from $ ext{Lambda}$CDM are analyzed through jerk evolution.
Abstract
Kinematical models are constrained by the latest observational data from geometry-distance measurements, which include 557 type Ia supernovae (SNIa) Union2 data and 15 observational Hubble data. Considering two parameterized deceleration parameter, the values of current deceleration parameter , jerk parameter and transition redshift , are obtained. Furthermore, we show the departures for two parameterized kinematical models from CDM model according to the evolutions of jerk parameter . Also, it is shown that the constraint on jerk parameter is weak by the current geometrical observed data.
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.
