Constraints on dark energy with the LOSS SN Ia sample
Mohan Ganeshalingam, Weidong Li, and Alexei V. Filippenko

TL;DR
This paper analyzes a large sample of Type Ia supernovae from LOSS to refine measurements of dark energy parameters, confirming the accelerating universe and improving systematic uncertainties in cosmological data.
Contribution
It provides a reanalysis of LOSS SN Ia data with improved calibration, yielding tighter constraints on dark energy and the universe's expansion rate.
Findings
Best-fit dark energy equation-of-state parameter w = -0.86 with uncertainties
Data strongly support an accelerating universe with 99.999% confidence
No significant correlation between Hubble residuals and host-galaxy properties
Abstract
We present a cosmological analysis of the Lick Observatory Supernova Search (LOSS) Type Ia supernova (SN Ia) photometry sample introduced by Ganeshalingam et al. (2010). These SNe provide an effective anchor point to estimate cosmological parameters when combined with datasets at higher redshift. The data presented by Ganeshalingam et al. (2010) have been rereduced in the natural system of the KAIT and Nickel telescopes to minimise systematic uncertainties. We have run the light-curve-fitting software SALT2 on our natural-system light curves to measure light-curve parameters for LOSS light curves and available SN Ia datasets in the literature. We present a Hubble diagram of 586 SNe in the redshift range z=0.01-1.4 with a residual scatter of 0.176 mag. Of the 226 low-z objects in our sample, 91 objects are from LOSS, including 45 SNe without previously published distances. Assuming a…
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