Cosmology with superluminous supernovae
Cosmology with superluminous supernovae
We predict cosmological constraints for forthcoming surveys using superluminous supernovae (SLSNe) as standardizable candles. Due to their high peak luminosity, these events can be observed to high redshift (z ? 3), opening up new possibilities to probe the Universe in the deceleration epoch. We describe our methodology for creating mock Hubble diagrams for the Dark Energy Survey (DES), the ‘Search Using DECam for Superluminous Supernovae’ (SUDSS) and a sample of SLSNe possible from the Large Synoptic Survey Telescope (LSST), exploring a range of standardization values for SLSNe. We include uncertainties due to gravitational lensing and marginalize over possible uncertainties in the magnitude scale of the observations (e.g. uncertain absolute peak magnitude, calibration errors). We find that the addition of only ?100 SLSNe from SUDSS to 3800 Type Ia Supernovae (SNe Ia) from DES can improve the constraints on w and ?m by at least 20 per cent (assuming a flat wCDM universe). Moreover, the combination of DES SNe Ia and 10 000 LSST-like SLSNe can measure ?m and w to 2 and 4 per cent, respectively. The real power of SLSNe becomes evident when we consider possible temporal variations in w(a), giving possible uncertainties of only 2, 5 and 14 per cent on ?m, w0 and wa, respectively, from the combination of DES SNe Ia, LSST-like SLSNe and Planck. These errors are competitive with predicted Euclid constraints, indicating a future role for SLSNe for probing the high-redshift Universe.
1700-1707
Scovacricchi, D.
25f6348f-abb4-4d86-80b0-7378f403f66e
Nichol, R.C.
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Bacon, D.
3087c37a-6ed3-4b72-9523-7f757fd27043
Sullivan, M.
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Prajs, S.
84bb5d78-0e3f-4ce9-9dd2-de5479b03aaa
21 February 2016
Scovacricchi, D.
25f6348f-abb4-4d86-80b0-7378f403f66e
Nichol, R.C.
0c9a8540-1f97-4fd7-bc77-e18db450e632
Bacon, D.
3087c37a-6ed3-4b72-9523-7f757fd27043
Sullivan, M.
2f31f9fa-8e79-4b35-98e2-0cb38f503850
Prajs, S.
84bb5d78-0e3f-4ce9-9dd2-de5479b03aaa
Scovacricchi, D., Nichol, R.C., Bacon, D., Sullivan, M. and Prajs, S.
(2016)
Cosmology with superluminous supernovae.
Monthly Notices of the Royal Astronomical Society, 456 (2), .
(doi:10.1093/mnras/stv2752).
Abstract
We predict cosmological constraints for forthcoming surveys using superluminous supernovae (SLSNe) as standardizable candles. Due to their high peak luminosity, these events can be observed to high redshift (z ? 3), opening up new possibilities to probe the Universe in the deceleration epoch. We describe our methodology for creating mock Hubble diagrams for the Dark Energy Survey (DES), the ‘Search Using DECam for Superluminous Supernovae’ (SUDSS) and a sample of SLSNe possible from the Large Synoptic Survey Telescope (LSST), exploring a range of standardization values for SLSNe. We include uncertainties due to gravitational lensing and marginalize over possible uncertainties in the magnitude scale of the observations (e.g. uncertain absolute peak magnitude, calibration errors). We find that the addition of only ?100 SLSNe from SUDSS to 3800 Type Ia Supernovae (SNe Ia) from DES can improve the constraints on w and ?m by at least 20 per cent (assuming a flat wCDM universe). Moreover, the combination of DES SNe Ia and 10 000 LSST-like SLSNe can measure ?m and w to 2 and 4 per cent, respectively. The real power of SLSNe becomes evident when we consider possible temporal variations in w(a), giving possible uncertainties of only 2, 5 and 14 per cent on ?m, w0 and wa, respectively, from the combination of DES SNe Ia, LSST-like SLSNe and Planck. These errors are competitive with predicted Euclid constraints, indicating a future role for SLSNe for probing the high-redshift Universe.
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1511.06670v2.pdf
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Accepted/In Press date: 20 November 2015
e-pub ahead of print date: 24 December 2015
Published date: 21 February 2016
Organisations:
Astronomy Group
Identifiers
Local EPrints ID: 394625
URI: http://eprints.soton.ac.uk/id/eprint/394625
ISSN: 1365-2966
PURE UUID: 31aac69d-8f72-45d2-a672-408a577559f5
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Date deposited: 23 May 2016 08:06
Last modified: 12 Nov 2024 02:48
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Author:
D. Scovacricchi
Author:
R.C. Nichol
Author:
D. Bacon
Author:
S. Prajs
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