A1 Refereed original research article in a scientific journal

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




AuthorsHayden Brian, Rubin David, Boone Kyle, Aldering Greg, Nordin Jacob, Brodwin Mark, Deustua Susana, Dixon Sam, Fagrelius Parker, Fruchter Andy, Eisenhardt Peter, Gonzalez Anthony, Gupta Ravi, Hook Isobel, Lidman Chris, Luther Kyle, Muzzin Adam, Raha Zachary, Ruiz-Lapuente Pilar, Saunders Clare, Sofiatti Caroline, Stanford Adam, Suzuki Nao, Webb Tracy, Williams Steven C, Wilson Gillian, Yen Mike K, Amanullah Rahman, Barbary Kyle, Böhringer Hans, Chappell Greta, Cunha Carlos, Currie Miles, Fassbender Rene, Gladders Michael, Goobar Ariel, Hildebrandt Hendrik, Hoekstra Henk, Huang Xiaosheng, Huterer Dragan, Jee M James, Kim Alex, Kowalski Marek, Linder Eric, Meyers Joshua E, Pain Reynald, Perlmutter Saul, Richard Johan, Rosati Piero, Rozo Eduardo, Rykoff Eli, Santos Joana, Spadafora Anthony, Stern Daniel, Wechsler Risa; and The Supernova Cosmology Project

PublisherIOP PUBLISHING LTD

Publication year2021

JournalAstrophysical Journal

Journal name in sourceASTROPHYSICAL JOURNAL

Journal acronymASTROPHYS J

Article numberARTN 87

Volume912

Issue2

Number of pages21

ISSN0004-637X

eISSN1538-4357

DOIhttps://doi.org/10.3847/1538-4357/abed4d

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/58235503


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 similar to 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 similar to 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.


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