<?xml version="1.0" encoding="UTF-8"?>

<HSTProposal
   Phase1ID="2335"
   Phase2ID="16614"
   Phase="Phase I"
   AptVersion="Version 2021.2  JWST PRD: PRDOPSSOC-037 ">
   <!--**********************************************************************************************************************-->
   <!--This file is automatically generated and should not be edited by hand. Editing this file directly is at your own risk.-->
   <!--**********************************************************************************************************************-->
   <!--APT Output Product-->
   <!---->
   <!--APT Version: Version 2021.2  JWST PRD: PRDOPSSOC-037 -->
   <!--Date: Wed Jun 30 17:11:37 GMT 2021-->
   
   <ToolData>
      
      <ToolDataItem
         Key="SubmissionData">
         
         <SubmissionData
            AptVersion="Version 2020.5  "
            SubmissionMode=""
            SubmissionCounter="1"
            SubmissionSuccessCounter="0"
            HasErrors="false"
            Cycle="29"
            IncludeSysInfo="true"
            NotificationAddress="ognedin@umich.edu"
            AssignedID="2335">
            
            <SystemInformation
               os.arch="amd64"
               os.name="Windows 10"
               os.version="10.0"
               java.version="11.0.9"
               Runtime.maxMemory="22808"
               linux.distribution="not available"
               linux.version="not available"
               screens="3840x2160" />
            
            <ErrorText />
            
            <SubmissionComments />
            
            <SubmissionCommentsCheckSum>0</SubmissionCommentsCheckSum>
            
            <SubmissionLog>Assigned ID: 2335

----- Attempting Submission 1 (Fri Apr 09 22:06:43 GMT 2021) -----</SubmissionLog>
            
            <DiagnosticJustification />
         </SubmissionData>
      </ToolDataItem>
   </ToolData>
   
   <ProposalInformation
      Category="AR"
      SnapPriority="Normal Priority"
      PureParallelProposal="false"
      Cycle="29"
      STScIEditNumber="0">
      
      <Title>Measuring sizes of young star clusters in nearby galaxies</Title>
      
      <Abstract>We propose the measure the effective radii of young star clusters in nearby galaxies identified by the Legacy ExtraGalactic UV Survey (LEGUS), a Hubble Treasury Program. We have created a pipeline to accurately and robustly measure the radii of star clusters in HST imaging, and tested it using two LEGUS galaxies. We now aim to extend it to the 7200 clusters in the full LEGUS sample, more than doubling the number of clusters with published radii. With this uniformly measured sample we will describe the distribution of cluster radii and densities, more robustly determine the cluster size-mass relation, and investigate the variation of cluster properties with age and host galaxy environment. These measurements will enable an unprecedented examination of the formation and long-term evolution of star clusters.</Abstract>
      
      <PrincipalInvestigator
         Honorific="Dr."
         FirstName="Oleg"
         MiddleInitial="Y."
         LastName="Gnedin"
         ESAMember="false"
         CSAMember="false"
         Retired="false"
         UniqueID="7012"
         Institution="University of Michigan"
         Country="USA"
         State="MI"
         Contact="true" />
      
      <CoInvestigator
         FirstName="Gillen"
         LastName="Brown"
         ESAMember="false"
         CSAMember="false"
         Retired="false"
         UniqueID="41632"
         Institution="University of Michigan"
         Country="USA"
         State="MI"
         Contact="false"
         AdminUSPI="false" />
      
      <Questions>
         
         <Phase2Questions />
      </Questions>
      
      <TeamExpertise>Prof. Oleg Gnedin is a leading expert in modeling galaxy formation using cosmological hydrodynamic
simulations, with a particular focus on massive star clusters. He has developed models for globular cluster
formation and disruption throughout cosmic time that matches available observations, including HST imaging
surveys. He will contribute to the fitting of the cluster size-mass relation and the interpretation of cluster density distribution in the context of galaxy formation.

Mr. Gillen Brown is modeling the formation and evolution of massive clusters using cosmological hydrodynamic simulations. He has developed a new pipeline for fitting cluster profiles for the LEGUS dataset and will be responsible for analyzing the HST images and deriving cluster sizes. He will also contibute to the interpretation and publication of the results.</TeamExpertise>
      
      <Phase1ProposalInformation
         Attachment="/System/Volumes/Data/solaris/user1/williamj/HST-C29/TAC/C:\Users\ognedin\Box\Cygwin\TEXTS\GRANTS\HST\Cycle29_ar_sizes\HST_Cycle_29_AR_Proposal__Cluster_Sizes.pdf">
         
         <ScientificCategory>Galaxies</ScientificCategory>
         
         <ScientificKeyword1
            Keyword="Galaxy Structure" />
         
         <ScientificKeyword2
            Keyword="Star Clusters" />
         
         <ProprietaryPeriod
            Default="true">0</ProprietaryPeriod>
         
         <Budget>Regular</Budget>
         
         <CalibProp>false</CalibProp>
         
         <FundamentalPhysics>false</FundamentalPhysics>
         
         <UvInit>false</UvInit>
         
         <Theory>false</Theory>
         
         <CloudComputing>false</CloudComputing>
      </Phase1ProposalInformation>
      
      <Phase2ProposalInformation
         PCFlag="true">
         
         <Availability>SUPPORTED</Availability>
      </Phase2ProposalInformation>
   </ProposalInformation>
   
   <Patterns />
   
   <Visits />
</HSTProposal>
