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   <!--Date: Fri Sep 27 18:35:36 GMT 2024-->
   
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            <SubmissionLog>Assigned ID: 5326

----- Attempting Submission 1 (Tue Mar 26 04:14:41 GMT 2024) -----
HST Phase I Proposal 5326  successfully submitted.
Receipt: # 5326-1

----- Attempting Submission 2 (Tue Mar 26 19:44:05 GMT 2024) -----
HST Phase I Proposal 5326  successfully submitted.
Receipt: # 5326-2

----- Attempting Submission 3 (Tue Mar 26 21:53:43 GMT 2024) -----
HST Phase I Proposal 5326  successfully submitted.
Receipt: # 5326-3

----- Attempting Submission 4 (Tue Mar 26 23:26:33 GMT 2024) -----</SubmissionLog>
            
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   <ProposalInformation
      Category="AR"
      SnapPriority="Normal Priority"
      PureParallelProposal="false"
      Cycle="32"
      STScIEditNumber="0">
      
      <Title>Hubble's Legacy Fields: Maximizing Hubble's Legacy by Doubling the Combined MAST Datasets for the COSMOS, EGS and UDS Fields.</Title>
      
      <Abstract>The wide/deep fields from Hubble have been a remarkable resource for studies of galaxy birth, assembly, buildup and transition over the first 2-3 Gyr. The HUDF, GOODS, CANDELS, CLASH, and the Frontier Fields, have been central to efforts to map galaxy growth in the universe. Yet much of the data taken with Hubble has not been available to the science community in a usable form. Far too little of the data taken has been delivered in a timely way to the MAST archive as High Level Science Products (HLSPs). Fortunately efforts in the last decade through the Hubble Legacy Fields (HLF) project have more than doubled the available fully processed, astrometric and photometric data on the GOODS-N &amp; S regions by adding nearly a **year** of Hubble data as HLSPs in MAST. Yet still less than half of all Hubble UV and optical image data on three major wide/deep CANDELS fields (COSMOS, UDS, EGS) is available through the MAST archive in a form that is usable by any community member without a huge processing effort. A further 10% of the data on GOODS-N &amp; S has also not been combined and delivered to MAST. The missing MAST data overall constitutes over 35% of a year of Hubble observations, representing a huge public investment. These Hubble imaging data provide unique high-spatial resolution UV and optical data for a vast array of ongoing programs using Chandra X-Ray, ALMA, current 8-10 m class observatories, future ELTs and SKA radio studies, as well as the results over COSMOS and UDS from numerous surveys: UKIDSS UDS, VIDEO, UltraVISTA, extended COSMOS and XMM (HSC survey and NIR surveys). We will deliver to MAST the missing data for COSMOS, UDS, EGS and GOODS-N&amp;S as high-quality HLSPs.</Abstract>
      
      <PrincipalInvestigator
         Honorific="Prof."
         FirstName="Garth"
         MiddleInitial="D."
         LastName="Illingworth"
         ESAMember="false"
         CSAMember="false"
         Retired="false"
         UniqueID="2955"
         Institution="University of California - Santa Cruz"
         Country="USA"
         State="CA"
         Contact="true" />
      
      <CoInvestigator
         Honorific="Mr."
         FirstName="Daniel"
         MiddleInitial="K."
         LastName="Magee"
         ESAMember="false"
         CSAMember="false"
         Retired="false"
         UniqueID="8076"
         Institution="University of California - Santa Cruz"
         Country="USA"
         State="CA"
         Contact="false"
         AdminUSPI="false" />
      
      <CoInvestigator
         Honorific="Dr."
         FirstName="Danilo"
         LastName="Marchesini"
         ESAMember="false"
         CSAMember="false"
         Retired="false"
         UniqueID="8099"
         Institution="Tufts University"
         Country="USA"
         State="MA"
         Contact="false"
         AdminUSPI="false" />
      
      <CoInvestigator
         Honorific="Mr."
         FirstName="Kumail"
         LastName="Zaidi"
         ESAMember="false"
         CSAMember="false"
         Retired="false"
         UniqueID="46670"
         Institution="Tufts University"
         Country="USA"
         State="MA"
         Contact="false"
         AdminUSPI="false" />
      
      <CoInvestigator
         FirstName="Richard"
         LastName="Pan"
         ESAMember="false"
         CSAMember="false"
         Retired="false"
         UniqueID="46719"
         Institution="Tufts University"
         Country="USA"
         State="MA"
         Contact="false"
         AdminUSPI="false" />
      
      <CoInvestigator
         Honorific="Dr."
         FirstName="Rychard"
         LastName="Bouwens"
         ESAMember="true"
         CSAMember="false"
         Retired="false"
         UniqueID="6910"
         Institution="Universiteit Leiden"
         Country="NLD"
         Contact="false"
         AdminUSPI="false" />
      
      <CoInvestigator
         Honorific="Prof."
         FirstName="Pascal"
         LastName="Oesch"
         ESAMember="true"
         CSAMember="false"
         Retired="false"
         UniqueID="8570"
         Institution="University of Geneva, Department of Astronomy"
         Country="CHE"
         Contact="false"
         AdminUSPI="false" />
      
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      <TeamExpertise>Although we are a small team we have demonstrated track records of both scientific output, particularly doing transformative science with new datasets, and with processing data for public releases for Spitzer and Hubble datasets. What is particularly important for this proposed dataset is the great experience that team members have with timely data releases of imaging data, including the HST programs, HUDF09, XDF, and HLF products, JWST PRIMER (currently in process) and FRESCO programs, with releases of both the reduced data and supporting catalogs. The team is highly qualified also in delivering science-enabling products to the community per our commitment in this proposal.

llingworth has led the overall efforts for the XDF and the HLF programs, as well as being Admin PI for the JWST PRIMER and FRESCO programs. He has worked on the nature of early galaxies in the first 1-2 Gyr over the last two decades, being involved in a number of major programs that have returned cutting-edge results on galaxies in the first Gyr.

Co-I Magee, has extensive expertise in the reduction and analysis of HST (ACS and WFC3) and JWST imaging, deliveries to MAST and the design of scientific software for programs such as the Hubble Legacy Fields and the Hubble XDF. He is the developer of the HLFRED HST pipeline software package. Which was used to process nearly all (with the exception of a few filters where there is little coverage) HST ACSWFC, WFC3IR and WFC3 data covering the GOODS-N/S regions and produced the mosaics images delivered to the MAST HLSP archive. Additionally, Magee is a current a member of the JWST PRIMER and FRESCO teams. As a PRIMER team member he has developed a direct imaging pipeline which is built on top of the JWST Science Calibration pipe with many added enhancements to deal with reduction issues not performed by the standard pipeline. This pipeline has been used to process all observations currently taken over the PRIMER COSMOS and UDS fields and provide fully reduced mosaics to the PRIMER team. This effort required the processing of nearly 8000 NIRCAM images.

Marchesini is the PI of the HFF-DeepSpace program, which produced and publicly released catalogs in the Hubble Frontier Fields, both through dedicated web portals and MAST. He has been an active member of several HST surveys, including 3D-HST and 3D-DASH, and many JWST collaborations (GLASS-ERS, UNCOVER, FRESCO, MEGASCIENCE, and TECHNICOLOR). Pan is a builder member of the UNCOVER collaboration. Marchesini, Zaidi, and Pan have led or contributed to the construction of space-based multi-wavelength photometric catalogs (e.g., HFF-DeepSpace, UNCOVER, GLASS-ERS, 3D-HST) and ground-based catalogs (MUSYC, FENIKS, NMBS, VIDEO, UltraVISTA), and have led or contributed to the public catalog releases of most of these surveys. Zaidi has led the construction of the multi-wavelength photometric catalogs of the ground-based FENIKS collaboration and of their public data release.

Rychard Bouwens has extensive experience with data processing, and was a key contributor and player in the team that provided the ACS and WFC3 HLSPs for the HUDF (known as the eXtreme Deep Field XDF), for GOODS-N and for GOODS-S to MAST.  His data processing experience includes both for Hubble and JWST's cameras.  He has developed very sophisticated routines for deriving reliable photometric redshifts, as well as for ensuring that ensemble properties (e.g., luminosity functions) of galaxies are determined with with minimal systematic error. Rychard has played key roles as one of the leaders in the study of galaxy evolution at the earliest times.  

Pascal Oesch was a key contributor and player in the team that provided the ACS and WFC3 HLSPs for the HUDF (known as the eXtreme Deep Field XDF), for GOODS-N and for GOODS-S to MAST. He has extensive experience with data processing, including both for Hubble's ACS and WFC3 cameras and for JWST's NIRCam camera and spectrographs. Pascal has been a leader in the discovery of the highest redshift galaxies, and has been amongst the leaders in the study of galaxy growth and evolution at the earliest times.

Co-I's Pan and Zaidi are students working with Marchesini and will be involved in various science and data aspects. Kumail is an expert in construction of photometric catalogs.

Zaidi is the leader of a project to generate the multi-wavelength photometric catalog is based on the final UDS DR11 release in the JHK band. The catalog consisted of data from multiple other surveys: CLAUDS (MegaCam u), SXDS (B, V, R, i, z), HSC-SSP PDR2 (g, r, i, z, y, NB0816, NB0921), VIDEO DR4 (H, K_s, Y, z), Spitzer-IRAC SERVS / DeepDrill (ch1-2), Spitzer-IRAC SpUDS (ch3-4) covering most of the UDS DR11 footprint of ~0.8 sq. deg in a total of 24 bands. The photometric catalog was accompanied by the catalogs of photometric redshifts and stellar population properties derived using eazy-py and FAST+DenseBasis, respectively.

Pan is currently working with the JWST-UNCOVER Treasury Program from Cycle 1 and the MEGASCIENCE program in Cycle 2 over the UNCOVER footprint to provide medium-band coverage. He is an expert in analysis of space-based imaging and spectroscopic data. 

We also have access to the UCSC Astrophysics HPC cluster which consist of 80 CPU nodes and 28 CPU/GPU compute nodes each with 196MB of RAM and a total of 3.6PB of network storage. With access to this system we will be able to process large amounts of data in parallel which will be essential for a program of this scale.</TeamExpertise>
      
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         <ScientificCategory>Large Scale Structure of the Universe</ScientificCategory>
         
         <SecondaryScientificCategory>Galaxies</SecondaryScientificCategory>
         
         <ScientificKeyword1
            Keyword="Cosmology" />
         
         <ScientificKeyword2
            Keyword="Extragalactic legacy and deep fields" />
         
         <ScientificKeyword3
            Keyword="Galaxy evolution" />
         
         <ScientificKeyword4
            Keyword="High-redshift galaxies" />
         
         <ScientificKeyword5
            Keyword="Large-scale structure of the universe" />
         
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         <Theory>false</Theory>
         
         <CloudComputing>false</CloudComputing>
         
         <DataScience>true</DataScience>
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