The core-collapse rate from the Supernova Legacy Survey

Bazin, G.; Palanque-Delabrouille, N.; Rich, J.; Ruhlmann-Kleider, V.; Aubourg, É.; Guillou, L. Le; Astier, P.; Balland, C.; Basa, S.; Carlberg, R. G.; Conley, A.; Fouchez, D.; Guy, J.; Hardin, D.; Hook, I. M.; Howell, D. A.; Pain, R.; Perrett, K.; Pritchet, C. J.; Regnault, Nicolas; Sullivan, M.; Antilogus, P.; Arsenijevic, V.; Baumont, S.; Fabbro, S.; Du, J. Le; Lidman, C.; Mouchet, M.; Mourão, A.; Walker, E. S.

doi:10.1051/0004-6361/200911847

Cited by 142 publications

(186 citation statements)

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“…At slightly higher redshifts we plot the results from Botticella et al (2008), which also includes the data presented in Cappellaro et al (2005). The second survey with rates based on a large number of CC SNe (117 SNe) is the Supernova Legacy Survey (SNLS, Bazin et al 2009) which provides a data point with small error at z = 0.3. None of these surveys include de-biasing for obscuration.…”

Section: Core Collapse Supernova Ratesmentioning

confidence: 99%

“…Some of these surveys also report supernova rates for Ia SNe (e.g. Neill et al 2006;Dahlen et al 2008) out to z ∼ 1.5 and core collapse supernovae (CC SNe) Bazin et al 2009) out to z ∼ 0.7. Large surveys targeting SNe of any type have also been successful in finding and characterising supernovae as well as determining both local and intermediate redshift cosmic supernova rates (Botticella et al 2008;Dilday et al 2010b;Li et al 2011b).…”

Section: Introductionmentioning

confidence: 99%

“…By averaging the CC SN rate over cosmic volume the rest frame rate of star formation in that volume can be studied. In this way an independent measure of the star formation history at high redshift can be obtained Cappellaro et al 2005;Botticella et al 2008;Bazin et al 2009). More conventional methods of finding the cosmic star formation rates include measuring the rest-frame UV light from galaxies at a given redshift (e.g.…”

Section: Introductionmentioning

confidence: 99%

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The rate of supernovae at redshift 0.1–1.0

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Dahlén

Trinchant

et al. 2012

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We present supernova rate measurements at redshift 0.1-1.0 from the Stockholm VIMOS Supernova Survey (SVISS). The sample contains 16 supernovae in total. The discovered supernovae have been classified as core collapse or type Ia supernovae (9 and 7, respectively) based on their light curves, colour evolution and host galaxy photometric redshift. at z = 0.62. All of these rate estimates have been corrected for host galaxy extinction, using a method that includes supernovae missed in infrared bright galaxies at high redshift. We use Monte Carlo simulations to make a thorough study of the systematic effects from assumptions made when calculating the rates and find that the most important errors come from misclassification, the assumed mix of faint and bright supernova types and uncertainties in the extinction correction. We compare our rates to other observations and to the predicted rates for core collapse and type Ia supernovae based on the star formation history and different models of the delay time distribution. Overall, our measurements, when taking the effects of extinction into account, agree quite well with the predictions and earlier results. Our results highlight the importance of understanding the role of systematic effects, and dust extinction in particular, when trying to estimate the rates of supernovae at moderate to high redshift.

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Section: Core Collapse Supernova Ratesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The rate of supernovae at redshift 0.1–1.0

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Dahlén

Trinchant

et al. 2012

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“…Kennicutt 1984). While at high redshift the difficulty lies in detecting and typing complete samples of intrinsically faint SNe (Botticella et al 2008;Bazin et al 2009;Li et al 2011a). Moreover some fraction of CC SNe are missed by optical searches, since they are embedded in dusty spiral arms or galaxy nuclei.…”

Section: Introductionmentioning

confidence: 99%

A comparison between star formation rate diagnostics and rate of core collapse supernovae within 11 Mpc

Botticella

Smartt

Kennicutt

et al. 2012

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Aims. The core collapse supernova rate provides a strong lower limit for the star formation rate (SFR). Progress in using it as a cosmic SFR tracer requires some confidence that it is consistent with more conventional SFR diagnostics in the nearby Universe. This paper compares standard SFR measurements based on Hα, far ultraviolet (FUV) and total infrared (TIR) galaxy luminosities with the observed core collapse supernova rate in the same galaxy sample. The comparison can be viewed from two perspectives. Firstly, by adopting an estimate of the minimum stellar mass to produce a core collapse supernova one can determine a SFR from supernova numbers. Secondly, the radiative SFR can be assumed to be robust and then the supernova statistics provide a constrain on the minimum stellar mass for core collapse supernova progenitors. Methods. The novel aspect of this study is that Hα, FUV and TIR luminosities are now available for a complete galaxy sample within the local 11 Mpc volume and the number of discovered supernovae in this sample within the last 13 years is high enough to perform a meaningful statistical comparison. We exploit the multi-wavelength dataset from 11 HUGS, a volume-limited survey designed to provide a census of SFR in the Local Volume. There are 14 supernovae discovered in this sample of galaxies within the last 13 years. Although one could argue that this may not be complete, it is certainly a robust lower limit. Results. Assuming a lower limit for core collapse of 8 M (as proposed by direct detections of SN progenitor stars and white dwarf progenitors), the core-collapse supernova rate matches the SFR from the FUV luminosity. However, the SFR based on Hα luminosity is lower than these two estimates by a factor of nearly 2. If we assume that the FUV or Hα based luminosities are a true reflection of the SFR, we find that the minimum mass for core collapse supernova progenitors is 8 ± 1 M and 6 ± 1 M , respectively. Conclusions. The estimate of the minimum mass for core collapse supernova progenitors obtained exploiting FUV data is in good agreement with that from the direct detection of supernova progenitors. The concordant results by these independent methods point toward a constraint of 8 ± 1 M on the lower mass limit for progenitor stars of core collapse supernovae.

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“…The star-formation rate density for a cosmic volume, defined by the redshift range and field size, can be derived from the core-collapse supernova rates by making an assumption on how many stars out of the current star forming population that explode. This method provides an independent tracer of the starformation history of the universe and has been used by Dahlen et al (2004b); Botticella et al (2008); Bazin et al (2009). While Li et al (2011a) also provide a local supernova rate, their big sample of SNe is also used to study the host galaxy properties and connections to supernova subtype.…”

Section: Introductionmentioning

confidence: 99%

The discovery and classification of 16 supernovae at high redshifts in ELAIS-S1

Melinder

Dahlén

Mencía-Trinchant³

et al. 2011

A&A

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Supernova surveys can be used to study a variety of subjects such as: (i) cosmology through type Ia supernovae (SNe), (ii) starformation rates through core-collapse SNe, and (iii) supernova properties and their connection to host galaxy characteristics. The Stockholm VIMOS Supernova Survey (SVISS) is a multi-band imaging survey aiming to detect supernovae at redshift ∼0.5 and derive thermonuclear and core-collapse supernova rates at high redshift. In this paper we present the supernovae discovered in the survey along with light curves and a photometric classification into thermonuclear and core-collapse types. To detect the supernovae in the VLT/VIMOS multi-epoch images, we used difference imaging and a combination of automatic and manual source detection to minimise the number of spurious detections. Photometry for the found variable sources was obtained and careful simulations were made to estimate correct errors. The light curves were typed using a Bayesian probability method and Monte Carlo simulations were used to study misclassification. We detected 16 supernovae, nine of which had a core-collapse origin and seven had a thermonuclear origin. The estimated misclassification errors are quite small, in the order of 5%, but vary with both redshift and type. The mean redshift of the supernovae is 0.58. Additionally, we found a variable source with a very extended light curve that could possibly be a pair instability supernova.

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The core-collapse rate from the Supernova Legacy Survey

Cited by 142 publications

References 15 publications

The rate of supernovae at redshift 0.1–1.0

The rate of supernovae at redshift 0.1–1.0

A comparison between star formation rate diagnostics and rate of core collapse supernovae within 11 Mpc

The discovery and classification of 16 supernovae at high redshifts in ELAIS-S1

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