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, N. B., Foley, R. J., Matheson, T., Tonry, J. L., Aguilera, C., Blackman, J. W., Becker, A. C., Clocchiatti, A., Covarrubias, R., Davis, T. M., Filippenko, A. V., Garg, A., Garnavich, P. M., Hicken, M., Jha, S., Krisciunas, K., Kirshner, R. P., Leibundgut, B., Li, W., Miceli, A., Narayan, G., Prieto, J. L., Riess, A. G., Salvo, M. E., Schmidt, B. P., Sollerman, J., Spyromilio, J. and Zenteno, A. (2007) The ESSENCE Supernova Survey: Survey optimization, observations, and supernova photometry. Astrophysical journal, 666 2: 674-693. doi:10.1086/519986

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Author Miknaitis, G.
Pignata, G.
Rest, A.
Wood‐Vasey, W. M.
Blondin, S.
Challis, P.
Smith, R. C.
Stubbs, C. W.
Suntzeff, N. B.
Foley, R. J.
Matheson, T.
Tonry, J. L.
Aguilera, C.
Blackman, J. W.
Becker, A. C.
Clocchiatti, A.
Covarrubias, R.
Davis, T. M.
Filippenko, A. V.
Garg, A.
Garnavich, P. M.
Hicken, M.
Jha, S.
Krisciunas, K.
Kirshner, R. P.
Leibundgut, B.
Li, W.
Miceli, A.
Narayan, G.
Prieto, J. L.
Riess, A. G.
Salvo, M. E.
Schmidt, B. P.
Sollerman, J.
Spyromilio, J.
Zenteno, A.
Title The ESSENCE Supernova Survey: Survey optimization, observations, and supernova photometry
Journal name Astrophysical journal   Check publisher's open access policy
ISSN 0004-637X
Publication date 2007-09-10
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1086/519986
Open Access Status File (Publisher version)
Volume 666
Issue 2
Start page 674
End page 693
Total pages 20
Place of publication Philadelphia, PA, United States
Publisher Institute of Physics Publishing
Language eng
Abstract We describe the implementation and optimization of the ESSENCE supernova survey, which we have undertaken to measure the dark energy equation‐of‐state parameter, . We present a method for optimizing the survey exposure times and cadence to maximize our sensitivity to w for a given fixed amount of telescope time. For our survey on the CTIO 4 m telescope, measuring the luminosity distances and redshifts for supernovae at modest redshifts ( ) is optimal for determining w. We describe the data analysis pipeline based on using reliable and robust image subtraction to find supernovae automatically and in nearly real time. Since making cosmological inferences with supernovae relies crucially on accurate measurement of their apparent brightnesses, we describe our efforts to establish a thorough calibration of the CTIO 4 m telescope’s natural photometric system. In its first four years, ESSENCE has discovered and spectroscopically confirmed 102 Type Ia supernovae, at redshifts from 0.10 to 0.78, identified through an impartial, effective methodology for spectroscopic classification and redshift determination. We present the resulting light curves for all of the Type Ia supernovae found by ESSENCE and used in our measurement of w, presented in a companion paper by Wood‐Vasey and coworkers.
Keyword Cosmology
Data analysis—supernovae
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Excellence in Research Australia (ERA) - Collection
School of Physical Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 184 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 180 times in Scopus Article | Citations
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Created: Wed, 11 Feb 2009, 19:46:19 EST by Laura McTaggart on behalf of School of Mathematics & Physics