The Type Ia Supernova Rate at<i>z</i> ≈ 0.5 from the Supernova Legacy Survey

Neill, James D.; Sullivan, M.; Balam, D.; Pritchet, C. J.; Howell, D. A.; Perrett, K.; Astier, P.; Aubourg, É.; Basa, S.; Carlberg, R. G.; Conley, A.; Fabbro, S.; Fouchez, D.; Guy, J.; Hook, I. M.; Pain, R.; Palanque-Delabrouille, N.; Regnault, Nicolas; Rich, J.; Taillet, R.; Aldering, G.; Antilogus, P.; Arsenijevic, V.; Balland, C.; Baumont, S.; Bronder, J.; Ellis, Richard S.; Filiol, M.; Gonçalves, A. C.; Hardin, D.; Kowalski, M.; Lidman, C.; Lusset, V.; Mouchet, M.; Mourão, A.; Perlmutter, S.; Ripoche, P.; Schlegel, David J.; Tao, C.

doi:10.1086/505532

Cited by 107 publications

(116 citation statements)

References 51 publications

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“…In both cases, a Gaussian distribution was assumed for τ. The thick solid line (N06) corresponds to the SNLS published rates in Neill et al (2006). The thin solid line (SB05) stems from the so-called "A+B model" in Scannapieco & Bildsten (2005) and the dotted line (KN08) shows the prediction in Kobayashi & Nomoto (2008).…”

Section: Type Ia Snementioning

confidence: 96%

Near-IR search for lensed supernovae behind galaxy clusters

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Paech

Stanishev³

et al. 2009

A&A

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Aims. Powerful gravitational telescopes in the form of massive galaxy clusters can be used to enhance the light collecting power over a limited field of view by about an order of magnitude in flux. This effect is exploited here to increase the depth of a survey for lensed supernovae at near-IR wavelengths. Methods. We present a pilot supernova search programme conducted with the ISAAC camera at VLT. Lensed galaxies behind the massive clusters A1689, A1835, and AC114 were observed for a total of 20 h divided into 2, 3, and 4 epochs respectively, separated by approximately one month to a limiting magnitude J < ∼ 24 (Vega). Image subtractions including another 20 h worth of archival ISAAC/VLT data were used to search for transients with lightcurve properties consistent with redshifted supernovae, both in the new and reference data. Results. The feasibility of finding lensed supernovae in our survey was investigated using synthetic lightcurves of supernovae and several models of the volumetric type Ia and core-collapse supernova rates as a function of redshift. We also estimate the number of supernova discoveries expected from the inferred star-formation rate in the observed galaxies. The methods consistently predict a Poisson mean value for the expected number of supernovae in the survey of between N SN = 0.8 and 1.6 for all supernova types, evenly distributed between core collapse and type Ia supernovae. One transient object was found behind A1689, 0.5 from a galaxy with photometric redshift z gal = 0.6 ± 0.15. The lightcurve and colors of the transient are consistent with being a reddened type IIP supernova at z SN = 0.59. The lensing model predicts 1.4 mag of magnification at the location of the transient, without which this object would not have been detected in the near-IR ground-based search described in this paper (unlensed magnitude J ∼ 25). We perform a feasibility study of the potential for lensed supernovae discoveries with larger and deeper surveys and conclude that the use of gravitational telescopes is a very exciting path for new discoveries. For example, a monthly rolling supernova search of a single very massive cluster with the HAWK-I camera at VLT would yield > ∼ 10 lensed supernova lightcurves per year, where type Ia supernovae would constitute about half of the expected sample. Conclusions.

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Section: Type Ia Snementioning

confidence: 96%

Near-IR search for lensed supernovae behind galaxy clusters

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Paech

Stanishev³

et al. 2009

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“…For type Ia SNe we use the parametrisation of the Riello & Patat (2005) simulations presented in Neill et al (2006), while for core collapse SNe we use Monte Carlo simulations based on the models of Riello & Patat (2005). The effects of spiral arms and the bulge component are considered negligible in the core collapse SN simulations and are not included.…”

Section: Supernova Rate Determinationmentioning

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 studying the rates of Ia supernovae and comparing to either the cosmic star formation history (e.g. Dahlén & Fransson 1999;Neill et al 2006;Strolger et al 2010), or the star formation rates and stellar masses of the host galaxies Totani et al 2008;Maoz et al 2011) it is possible to set constraints on the delay time and thereby also on the progenitor system.…”

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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“…We can also compare the range and distribution in redshift of our supernovae to that of other surveys. Our sample of thermonuclear SNe are not really unique in this respect (see, e.g., Neill et al 2006;Poznanski et al 2007b;Dahlen et al 2008), but it should be noted that the survey methodology we used is different from most other surveys where the requirement of spectra means that some of the fainter events may be missed. For the core-collapse SNe our sample is similar to the observations presented in Dahlen et al (2004b) with 17 CC SNe at z < 0.7.…”

Section: Summary and Discussionmentioning

confidence: 99%

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

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Dahlén

Mencía-Trinchant³

et al. 2011

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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 Type Ia Supernova Rate atz ≈ 0.5 from the Supernova Legacy Survey

Cited by 107 publications

References 51 publications

Near-IR search for lensed supernovae behind galaxy clusters

Near-IR search for lensed supernovae behind galaxy clusters

The rate of supernovae at redshift 0.1–1.0

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

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