Forecast of cosmological constraints with superluminous supernovae from the Chinese Space Station Telescope

TL;DR

This paper explores how superluminous supernovae observed by the Chinese Space Station Telescope can be used to improve measurements of cosmological parameters and understand dark energy at high redshifts.

Contribution

It predicts the detection rate of SLSNe by CSST and demonstrates their potential to constrain cosmological parameters through peak-color relationships.

Findings

CSST can observe approximately 360 SLSNe in 2.5 years.

SLSNe rate correlates with cosmic star formation rate, scaled by (1+z)^{1.2}.

SLSNe observations can shed light on dark energy and supernova central engines.

Abstract

Superluminous supernovae (SLSNe) are a class of intense celestial events that can be standardized for measuring cosmological parameters, bridging the gap between type Ia supernovae and the cosmic microwave background. In this work, we discuss the cosmological applications of SLSNe from the Chinese Space Station Telescope (CSST). Our estimation suggests that SLSNe rate is biased tracing the cosmic star formation rate, exhibiting a factor of $(1+z)^{1.2}$. We futher predict that CSST is poised to observe $\sim 360$ SLSNe in the 10 square degrees ultra-deep field survey within a span of 2.5 years. A stringent constraint on cosmological parameters can be derived from their peak-color relationship. CSST is anticipated to uncover a substantial number of SLSNe, contributing to a deeper understanding of their central engines and shedding light on the nature of dark energy at high redshifts.