The ESSENCE Supernova Survey: Survey Optimization, Observations, and Supernova Photometry

Miknaitis, G.; Pignata, G.; Rest, A.; Wood‐Vasey, W. M.; Blondin, S.; Challis, P.; Smith, R. C.; Stubbs, C. W.; Suntzeff, Nicholas B.; Foley, R. J.; Matheson, T.; Tonry, J.; Aguilera, C.; Blackman, Joshua W.; Becker, A. C.; Clocchiatti, A.; Covarrubias, R.; Davis, Tamara M.; Filippenko, A. V.; Garg, Arti; Garnavich, P.; Hicken, M.; Jha, Saurabh W.; Krisciunas, K.; Kirshner, R.; Leibundgut, B.; Li, W.; Miceli, Antonino; Narayan, Gautham; Prieto, J. L.; Riess, Adam G.; Salvo, M.; Schmidt, B. P.; Sollerman, J.; Spyromilio, J.; Zenteno, A.

doi:10.1086/519986

Cited by 328 publications

(253 citation statements)

References 94 publications

(79 reference statements)

Supporting

Mentioning

243

Contrasting

Unclassified

Order By: Relevance

“…This is consistent with the findings of other supernova surveys using similar techniques (e.g. Miknaitis et al 2007). Most of these spurious detections are spurious subtraction residuals.…”

Section: Source Detectionsupporting

confidence: 93%

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

Melinder

Dahlén

Mencía-Trinchant³

et al. 2011

A&A

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…This is consistent with the findings of other supernova surveys using similar techniques (e.g. Miknaitis et al 2007). Most of these spurious detections are spurious subtraction residuals.…”

Section: Source Detectionsupporting

confidence: 93%

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

Melinder

Dahlén

Mencía-Trinchant³

et al. 2011

A&A

Self Cite

View full text Add to dashboard Cite

show abstract

“…Relatively empty regions in the northern sky are due to obscuration by the Galactic Plane. The SNe density peak around the celestial equator is caused by various SN surveys such as the SDSS SN Survey (Frieman et al 2008) and ESSENCE (Miknaitis et al 2007). These surveys discovered many targets, but because their main focus are on high-redshift SN Ia, most of their spectroscopically classified SNe are Ia (red filled circles), although roughly 100 (≈10%) are CC SNe (blue filled squares and green crosses).…”

Section: Cross-matching the Sne With The Sdss Galaxiesmentioning

confidence: 99%

Supernovae and their host galaxies

Hakobyan

Adibekyan

Aramyan

et al. 2012

A&A

View full text Add to dashboard Cite

Context. In this first paper of a series, we report the creation of large and well-defined database that combines extensive new measurements and a literature search of 3876 supernovae (SNe) and their 3679 host galaxies located in the sky area covered by the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8). Aims. This database should be much larger than previous ones, and should contain a homogenous set of global parameters of SN hosts, including morphological classifications and measures of nuclear activity. Methods. The measurements of apparent magnitudes, diameters (D 25 ), axial ratios (b/a), and position angles (PA) of SN host galaxies were made using the images extracted from the SDSS g-band. For each host galaxy, we analyzed RGB images of the SDSS to accurately measure the position of its nucleus to provide the SDSS name. With these images, we also provide the host galaxy's morphological type, and note if it has a bar, a disturbed disk, and whether it is part of an interacting or merging system. In addition, the SDSS nuclear spectra were analyzed to diagnose the central power source of the galaxies. Special attention was paid to collect accurate data on the spectroscopic classes, coordinates, offsets of SNe, and heliocentric redshifts of the host galaxies. Results. Identification of the host galaxy sample is 91% complete (with 3536 SNe in 3340 hosts), of which the SDSS names of ∼1100 anonymous hosts are listed for the first time. The morphological classification is available for 2104 host galaxies, including 73 (56) hosts in interacting (merging) systems. The total sample of host galaxies collects heliocentric redshifts for 3317 (∼90%) galaxies. The g-band magnitudes, D 25 , b/a, and PA are available for 2030 hosts of the morphologically classified sample of galaxies. Nuclear activity measures are provided for 1189 host galaxies. We analyze and discuss many selection effects and biases that can significantly affect any future analysis of our sample. Conclusions. The creation of this large database will help to better understand how the different types of SNe are correlated with the properties of the nuclei and global physical parameters of the host galaxies, and minimize possible selection effects and errors that often arise when data are selected from different sources and catalogs.

show abstract

“…Kowalski et al (2008) have compiled the most up to date set of supernovae including the recent large samples of SNIa from SNLS (Astier et al 2006) and ESSENCE (Miknaitis et al 2007) surveys, older data sets and the recently extended data set of distant supernovae observed with HST. The compilation contains 414 SNIa and after selection cuts reduces to 307 SN1a.…”

Section: Sniamentioning

confidence: 99%

Constraints on CDM cosmology from galaxy power spectrum, CMB and SNIa evolution

Ferramacho¹,

Blanchard²,

Zolnierowski³

2009

A&A

View full text Add to dashboard Cite

Aims. We examine the constraints that can be obtained on standard cold dark matter models from the most currently used data set: CMB anisotropies, type Ia supernovae and the SDSS luminous red galaxies. We also examine how these constraints are widened when the equation of state parameter w and the curvature parameter Ω k are left as free parameters. Finally, we investigate the impact on these constraints of a possible form of evolution in SNIa intrinsic luminosity. Methods. We obtained our results from MCMC analysis using the full likelihood of each data set. Results. For the ΛCDM model, our "vanilla" model, cosmological parameters are tightly constrained and consistent with current estimates from various methods. When the dark energy parameter w is free we find that the constraints remain mostly unchanged, i.e. changes are smaller than the 1 sigma uncertainties. Similarly, relaxing the assumption of a flat universe leads to nearly identical constraints on the dark energy density parameter of the universe Ω Λ , baryon density of the universe Ω b , the optical depth τ, the index of the power spectrum of primordial fluctuations n S , with most one sigma uncertainties better than 5%. More significant changes appear on other parameters: while preferred values are almost unchanged, uncertainties for the physical dark matter density Ω c h 2 , Hubble constant H 0 and σ 8 are typically twice as large. The constraint on the age of the Universe, which is very accurate for the vanilla model, is the most degraded. We found that different methodological approaches on large scale structure estimates lead to appreciable differences in preferred values and uncertainty widths. We found that possible evolution in SNIa intrinsic luminosity does not alter these constraints by much, except for w, for which the uncertainty is twice as large. At the same time, this possible evolution is severely constrained. Conclusions. We conclude that systematic uncertainties for some estimated quantities are similar or larger than statistical ones.

show abstract

The ESSENCE Supernova Survey: Survey Optimization, Observations, and Supernova Photometry

Cited by 328 publications

References 94 publications

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

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

Supernovae and their host galaxies

Constraints on CDM cosmology from galaxy power spectrum, CMB and SNIa evolution

Contact Info

Product

Resources

About