M. McCrum
Selecting superluminous supernovae in faint galaxies from the first year of the Pan-STARRS1 Medium Deep Survey
McCrum, M.; Smartt, S.J.; Rest, A.; Smith, K.; Kotak, R.; Rodney, S.A.; Young, D.R.; Chornock, R.; Berger, E.; Foley, R.J.; Fraser, M.; Wright, D.; Scolnic, D.; Tonry, J.L.; Urata, Y.; Huang, K.; Pastorello, A.; Botticella, M.T.; Valenti, S.; Mattila, S.; Kankare, E.; Farrow, D.J.; Huber, M.E.; Stubbs, C.W.; Kirshner, R.P.; Bresolin, F.; Burgett, W.S.; Chambers, K.C.; Draper, P.W.; Flewelling, H.; Jedicke, R.; Kaiser, N.; Magnier, E.A.; Metcalfe, N.; Morgan, J.S.; Price, P.A.; Sweeney, W.; Wainscoat, R.J.; Waters, C.
Authors
S.J. Smartt
A. Rest
K. Smith
R. Kotak
S.A. Rodney
D.R. Young
R. Chornock
E. Berger
R.J. Foley
M. Fraser
D. Wright
D. Scolnic
J.L. Tonry
Y. Urata
K. Huang
A. Pastorello
M.T. Botticella
S. Valenti
S. Mattila
E. Kankare
D.J. Farrow
M.E. Huber
C.W. Stubbs
R.P. Kirshner
F. Bresolin
W.S. Burgett
K.C. Chambers
Dr Peter Draper p.w.draper@durham.ac.uk
Senior Computer Programmer
H. Flewelling
R. Jedicke
N. Kaiser
E.A. Magnier
Dr Nigel Metcalfe nigel.metcalfe@durham.ac.uk
Assistant Professor
J.S. Morgan
P.A. Price
W. Sweeney
R.J. Wainscoat
C. Waters
Abstract
The Pan-STARRS1 (PS1) survey has obtained imaging in five bands (griz yP1) over 10 Medium Deep Survey (MDS) fields covering a total of 70 square degrees. This paper describes the search for apparently hostless supernovae (SNe) within the first year of PS1 MDS data with an aim of discovering superluminous supernovae (SLSNe). A total of 249 hostless transients were discovered down to a limiting magnitude of MAB ∼ 23.5, of which 76 were classified as Type Ia supernovae (SNe Ia). There were 57 SNe with complete light curves that are likely core-collapse SNe (CCSNe) or type Ic SLSNe and 12 of these have had spectra taken. Of these 12 hostless, non-Type Ia SNe, 7 were SLSNe of type Ic at redshifts between 0.5 and 1.4. This illustrates that the discovery rate of type Ic SLSNe can be maximized by concentrating on hostless transients and removing normal SNe Ia. We present data for two possible SLSNe; PS1-10pm (z = 1.206) and PS1-10ahf (z = 1.1), and estimate the rate of type Ic SLSNe to be between 3+3−2×10−5 and 8+2−1×10−5 that of the CCSN rate within 0.3 ≤ z ≤ 1.4 by applying a Monte Carlo technique. The rate of slowly evolving, type Ic SLSNe (such as SN2007bi) is estimated as a factor of 10 lower than this range.
Citation
McCrum, M., Smartt, S., Rest, A., Smith, K., Kotak, R., Rodney, S., …Waters, C. (2015). Selecting superluminous supernovae in faint galaxies from the first year of the Pan-STARRS1 Medium Deep Survey. Monthly Notices of the Royal Astronomical Society, 448(2), 1206-1231. https://doi.org/10.1093/mnras/stv034
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 6, 2015 |
Publication Date | Apr 1, 2015 |
Deposit Date | Aug 3, 2015 |
Publicly Available Date | Sep 3, 2015 |
Journal | Monthly Notices of the Royal Astronomical Society |
Print ISSN | 0035-8711 |
Electronic ISSN | 1365-2966 |
Publisher | Royal Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 448 |
Issue | 2 |
Pages | 1206-1231 |
DOI | https://doi.org/10.1093/mnras/stv034 |
Keywords | Supernovae: general, Supernovae: individual: PS1-10pm, Supernovae: individual: PS1-10ahf. |
Public URL | https://durham-repository.worktribe.com/output/1401725 |
Files
Published Journal Article
(2.7 Mb)
PDF
Copyright Statement
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
You might also like
Pan-STARRS Pixel Analysis: Source Detection and Characterization
(2020)
Journal Article
The Pan-STARRS1 Database and Data Products
(2020)
Journal Article
The Pan-STARRS Data-processing System
(2020)
Journal Article
Pan-STARRS Photometric and Astrometric Calibration
(2020)
Journal Article
Pan-STARRS Pixel Processing: Detrending, Warping, Stacking
(2020)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search