The HST See Change Program. I. Survey Design, Pipeline, and Supernova Discoveries*

Author:

Hayden BrianORCID,Rubin DavidORCID,Boone KyleORCID,Aldering Greg,Nordin Jakob,Brodwin MarkORCID,Deustua SusanaORCID,Dixon SamORCID,Fagrelius ParkerORCID,Fruchter AndyORCID,Eisenhardt Peter,Gonzalez AnthonyORCID,Gupta Ravi,Hook IsobelORCID,Lidman ChrisORCID,Luther Kyle,Muzzin AdamORCID,Raha Zachary,Ruiz-Lapuente PilarORCID,Saunders Clare,Sofiatti Caroline,Stanford Adam,Suzuki NaoORCID,Webb Tracy,Williams Steven C.ORCID,Wilson Gillian,Yen Mike,Amanullah RahmanORCID,Barbary Kyle,Böhringer Hans,Chappell Greta,Cunha Carlos,Currie MilesORCID,Fassbender Rene,Gladders MichaelORCID,Goobar ArielORCID,Hildebrandt Hendrik,Hoekstra HenkORCID,Huang XiaoshengORCID,Huterer DraganORCID,Jee M. James,Kim Alex,Kowalski Marek,Linder EricORCID,Meyers Joshua E.ORCID,Pain Reynald,Perlmutter Saul,Richard JohanORCID,Rosati Piero,Rozo Eduardo,Rykoff EliORCID,Santos Joana,Spadafora Anthony,Stern DanielORCID,Wechsler RisaORCID

Abstract

Abstract The See Change survey was designed to make z > 1 cosmological measurements by efficiently discovering high-redshift Type Ia supernovae (SNe Ia) and improving cluster mass measurements through weak lensing. This survey observed twelve galaxy clusters with the Hubble Space Telescope (HST) spanning the redshift range z = 1.13–1.75, discovering 57 likely transients and 27 likely SNe Ia at z ∼ 0.8–2.3. As in similar previous surveys, this proved to be a highly efficient use of HST for supernova observations; the See Change survey additionally tested the feasibility of maintaining, or further increasing, the efficiency at yet higher redshifts, where we have less detailed information on the expected cluster masses and star formation rates. We find that the resulting number of SNe Ia per orbit is a factor of ∼8 higher than for a field search, and 45% of our orbits contained an active SN Ia within 22 rest-frame days of peak, with one of the clusters by itself yielding 6 of the SNe Ia. We present the survey design, pipeline, and supernova discoveries. Novel features include fully blinded supernova searches, the first random forest candidate classifier for undersampled IR data (with a 50% detection threshold within 0.05 mag of human searchers), real-time forward-modeling photometry of candidates, and semi-automated photometric classifications and follow-up forecasts. We also describe the spectroscopic follow-up, instrumental in measuring host galaxy redshifts. The cosmology analysis of our sample will be presented in a companion paper.

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

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