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----- Attempting Submission 1 (Fri Apr 05 23:27:48 GMT 2019) -----
HST Phase I Proposal 950 (salt3_ar.apt) successfully submitted.
Receipt: # 950-1

----- Attempting Submission 2 (Fri Apr 05 23:41:35 GMT 2019) -----
HST Phase I Proposal 950 (salt3_ar.apt) successfully submitted.
Receipt: # 950-2

----- Attempting Submission 3 (Fri Apr 05 23:50:38 GMT 2019) -----
HST Phase I Proposal 950 (salt3_ar.apt) successfully submitted.
Receipt: # 950-3

----- Attempting Submission 4 (Fri Apr 05 23:56:23 GMT 2019) -----
HST Phase I Proposal 950 (salt3_ar.apt) successfully submitted.
Receipt: # 950-4

----- Attempting Submission 5 (Fri Apr 05 23:57:38 GMT 2019) -----</SubmissionLog>
            
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   <ProposalInformation
      Category="AR"
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      <Title>SALT3: Taking the Type Ia Supernova Cosmology Workhorse to Longer Wavelengths</Title>
      
      <Abstract>Type Ia Supernovae (SNIa) are one of the central pillars of the LambdaCDM "concordance cosmology.''  The accelerating expansion of the universe was discovered with a sample of a few dozen SNIa extending to z~0.8, and over the last 20 years this sample has grown to include &gt;1000 SNIa reaching to z~2.3.   In the next decade, transient searches from the Large Synoptic Survey Telescope (LSST) and the Wide Field Infrared Survey Telescope (WFIRST) will accelerate this growth, increasing the SNIa sample to several hundred thousand. This HST-AR program will provide an important tool for the next era of SNIa cosmology by developing SALT3 -- a new SN Ia model that extends the widely-used SALT2 model to near-infrared wavelengths. We will add the relatively small but powerful dataset of ACS and WFC3-IR observations to a large number of ground-based light curves for model training purposes. The addition of HST data is necessary to push the new model beyond ~11000 Angstrom, and will be particularly valuable for improving and extending the SALT2 color law that is presently trained to only ~6000 Angstrom.</Abstract>
      
      <PrincipalInvestigator
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         FirstName="Justin"
         LastName="Roberts-Pierel"
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         Institution="University of South Carolina Research Foundation"
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      <CoInvestigator
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         Institution="University of California - Santa Cruz"
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      <CoInvestigator
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         LastName="Rodney"
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         MiddleInitial="D'Arcy"
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         Institution="The Johns Hopkins University"
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      <CoInvestigator
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      <CoInvestigator
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         FirstName="Ryan"
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         Institution="University of California - Santa Cruz"
         Country="USA"
         State="CA"
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      <CoInvestigator
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         FirstName="Daniel"
         LastName="Scolnic"
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         Institution="Duke University"
         Country="USA"
         State="NC"
         Contact="false"
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      <TeamExpertise>This team includes experts in SNIa cosmology, who have been leaders in SNIa analysis with HST, the development of SN light curve models, and precision SNIa cosmology for over two decades.   

* Light Curve Model Development:

Adam Riess developed one of the successful early SNIa analysis tools called the Multi-color Light Curve Shape (MLCS) method, and Saurabh Jha modernized it as MLCS2k2 (Jha et al. 2007).   Rick Kessler wrote the SuperNova Analysis Software (SNANA), one of the most widely-used tools for SN cosmology over the last decade (Kessler et al. 2009).  Steve Rodney developed an early extrapolation of the SALT2 model to infrared wavelengths for use in the CANDELS HST survey (Rodney et al. 2014), and Justin Pierel refined and revised it with similar extensions of CC SN models (Pierel et al. 2018).  

* SNIa cosmology:

Members of our team have led or contributed to many of the major SNIa cosmology analyses over the last 20 years, starting with the Higher-z team's discovered the accelerating expansion of the universe (Riess et al. 1998), continuing through the HST Great Observatories Origins Deep Survey, the Sloan Digital Sky Survey (Kessler et al. 2009), the Pan-STARRS1 SN survey (Jones et al. 2018) and the composite analysis of the Pantheon sample (Sconic et al. 2018).   We continue to lead cutting edge SN cosmology research programs including the Dark Energy Survey, the Foundation survey, and science investigation teams for LSST and WFIRST.</TeamExpertise>
      
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