See Change: First Results from the Supernova Cosmology Project High Redshift Cluster Supernova Survey

Brian Hayden, Greg Scott Aldering, Rahman Amanullah, Kyle H. Barbary, Hans Boehringer, Mark Brodwin, Carlos E. Cunha, Susana E. Deustua, Samantha Dixon, Peter R. Eisenhardt, Parker Fagrelius, Rene Fassbender, Andrew S. Fruchter, Michael Gladders, Anthony H. Gonzalez, Ariel Goobar, Hendrik Hildebrandt, Matt Hilton, Henk Hoekstra, Isobel HookXiaosheng Huang, Dragan Huterer, James Jee, Alex G. Kim, Marek Kowalski, Chris Lidman, Eric Linder, Kyle Luther, Joshua Meyers, Adam Muzzin, Jakob Nordin, Reynald Pain, Saul Perlmutter, Johan Richard, Piero Rosati, Eduardo Rozo, David Rubin, Eli S. Rykoff, Joana Santos, Clare Saunders, Caroline Sofiatti, Anthony L. Spadafora, S. Adam Stanford, Daniel Stern, Nao Suzuki, Risa H. Wechsler, Jon Willis, Gillian Wilson, Mike Yen

Research output: Contribution to conferencePaper

Abstract

Using the Hubble Space Telescope, the Supernova Cosmology Project is performing a type Ia supernova search in the highest-redshift, most massive clusters known to date. This large HST program spans Cycles 22-23. It will improve the constraint by a factor of 3 on the Dark Energy equation of state above z ~ 1, allowing an unprecedented probe of Dark Energy time variation. When combined with the improved cluster mass calibration from gravitational lensing provided by the deep WFC3-IR observations of the clusters, the SNe clusters observed also will triple the Dark Energy Task Force Figure of Merit. With Cycle 22 completed, we present preliminary supernova light curves above z=1.1 and discuss the number of supernovae discovered compared to our expectations from different SN rates models. Our HST imaging and extensive ground-based campaign are already producing unique results; we have spectroscopically confirmed several of the highest redshift cluster members to-date, and confirmed one of the most massive clusters at z~1.2 expected over the entire sky.
Original languageEnglish
Pages237.01
Publication statusPublished - 1 Jan 2016

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