PI: Ryan Foley, UC Santa Cruz, firstname.lastname@example.org
Address: Astronomy Department, 1156 High St, Santa Cruz, CA 95064 USA
CoI: Armin Rest, STScI
CoI: Daniel Scolnic, U. of Chicago
CoI: Yen-Chen Pan, UC Santa Cruz
CoI: Saurabh Jha, Rutgers U.
CoI: Charles Kilpatrick, UC Santa Cruz
CoI: David Coulter, UC Santa Cruz
CoI: Matt Siebert, UC Santa Cruz
CoI: Kyle Dettman, Rutgers U.
CoI: Tyler Takaro, UC Santa Cruz
CoI: David Jones, Johns Hopkins U.
CoI: Georgios Dimitriadis, Southampton University
Title: The Next Generation Low-z Type Ia Supernova Sample for Cosmology
Abstract: Type~Ia supernovae (SNe~Ia) are one of the best probes to constrain the nature of dark energy. Recent surveys have observed such a large number of high-$z$ SNe~Ia that cosmological constraints are now limited by systematics and the relatively small number of low-$z$ SNe. We are conducting a survey to construct an unbiased, high-fidelity low-$z$ SN~Ia sample in the Pan-STARRS1 natural system to improve SN cosmology constraints. This sample will (1) quadruple the number of cosmologically useful low-$z$ SNe~Ia, (2) be unique in its photometric calibration precision, and (3) be the only low-$z$ SN~Ia sample observed with the same system as a high-$z$ sample. This program will also fulfill the WFIRST low-$z$ SN~Ia requirement. Our homogeneous low-$z$ sample will minimize the largest systematic error sources and with it, we will acquire a state-of-the-art constraint on the equation-of-state parameter of dark energy, $w$, to $<%. Here, we propose to obtain the necessary spectroscopy for this sample.
Program Type: Standard/Extragalactic
Run 1 (2017B): KP-4m/KOSMOS -- 5.5n on Aug 14 - Aug 15 2017, Sep 14 - Sep 15 2017, Oct 16 - Oct 17 2017
Run 2 (2017B): SOAR/Goodman -- 2n on Nov 12 2017, Nov 25 2017
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