Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 63 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 19 tok/s Pro
GPT-5 High 29 tok/s Pro
GPT-4o 101 tok/s Pro
Kimi K2 212 tok/s Pro
GPT OSS 120B 438 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Constraints on kinematic parameters at $z\ne0$ (1704.08089v2)

Published 26 Apr 2017 in astro-ph.CO and gr-qc

Abstract: The standard cosmographic approach consists in performing a series expansion of a cosmological observable around $z=0$ and then using the data to constrain the cosmographic (or kinematic) parameters at present time. Such a procedure works well if applied to redshift ranges inside the $z$-series convergence radius ($z<1$), but can be problematic if we want to cover redshift intervals that fall outside the $z-$series convergence radius. This problem can be circumvented if we work with the $y-$redshift, $y=z/(1+z)$, or the scale factor, $a=1/(1+z)=1-y$, for example. In this paper, we use the scale factor $a$ as the variable of expansion. We expand the luminosity distance and the Hubble parameter around an arbitrary $\tilde{a}$ and use the Supernovae Ia (SNe Ia) and the Hubble parameter data to estimate $H$, $q$, $j$ and $s$ at $z\ne0$ ($\tilde{a}\neq1$). We show that the last relevant term for both expansions is the third. Since the third order expansion of $d_L(z)$ has one parameter less than the third order expansion of $H(z)$, we also consider, for completeness, a fourth order expansion of $d_L(z)$. For the third order expansions, the results obtained from both SNe Ia and $H(z)$ data are incompatible with the $\Lambda$CDM model at $2\sigma$ confidence level, but also incompatible with each other. When the fourth order expansion of $d_L(z)$ is taken into account, the results obtained from SNe Ia data are compatible with the $\Lambda$CDM model at $2\sigma$ confidence level, but still remains incompatible with results obtained from $H(z)$ data. These conflicting results may indicate a tension between the current SNe Ia and $H(z)$ data sets.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.