Euclid: Superluminous supernovae in the Deep Survey
C. Inserra, R. C. Nichol, D. Scovacricchi, J. Amiaux, M. Brescia, C., Burigana, E. Cappellaro, C. S. Carvalho, S. Cavuoti, V. Conforti, J.-C., Cuillandre, A. da Silva, A. De Rosa, M. Della Valle, J. Dinis, E. Franceschi,, I. Hook, P. Hudelot, K. Jahnke, T. Kitching

TL;DR
This paper investigates Euclid's potential to detect superluminous supernovae (SLSNe-I) at high redshifts, demonstrating their usefulness for cosmology and understanding the distant Universe.
Contribution
It presents a detailed simulation of Euclid's ability to detect SLSNe-I, estimating the number of observable events and their potential for cosmological studies.
Findings
Euclid can detect approximately 140 SLSNe-I up to z~3.5 in five years.
The SLSNe-I sample can improve constraints on dark energy parameters.
Euclid's data stream will contain hundreds of SLSNe-I, enabling new astrophysical insights.
Abstract
In the last decade, astronomers have found a new type of supernova called `superluminous supernovae' (SLSNe) due to their high peak luminosity and long light-curves. These hydrogen-free explosions (SLSNe-I) can be seen to z~4 and therefore, offer the possibility of probing the distant Universe. We aim to investigate the possibility of detecting SLSNe-I using ESA's Euclid satellite, scheduled for launch in 2020. In particular, we study the Euclid Deep Survey (EDS) which will provide a unique combination of area, depth and cadence over the mission. We estimated the redshift distribution of Euclid SLSNe-I using the latest information on their rates and spectral energy distribution, as well as known Euclid instrument and survey parameters, including the cadence and depth of the EDS. We also applied a standardization method to the peak magnitudes to create a simulated Hubble diagram to…
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