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    The BUFFALO HST Survey

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    Steinhardt_2020_ApJS_247_64.pdf
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    Final Published Version
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    Author
    Steinhardt, Charles L.
    Jauzac, Mathilde
    Acebron, Ana
    Atek, Hakim cc
    Capak, Peter
    Davidzon, Iary
    Eckert, Dominique
    Harvey, David
    Koekemoer, Anton M.
    Lagos, Claudia D. P.
    Mahler, Guillaume
    Montes, Mireia
    Niemiec, Anna
    Nonino, Mario
    Oesch, P. A.
    Richard, Johan cc
    Rodney, Steven A.
    Schaller, Matthieu
    Sharon, Keren
    Strolger, Louis-Gregory
    Allingham, Joseph
    Amara, Adam
    Bahé, Yannick
    Bœhm, Céline
    Bose, Sownak
    Bouwens, Rychard J.
    Bradley, Larry D.
    Brammer, Gabriel
    Broadhurst, Tom
    Cañas, Rodrigo
    Cen, Renyue
    Clément, Benjamin
    Clowe, Douglas
    Coe, Dan
    Connor, Thomas
    Darvish, Behnam
    Diego, Jose M.
    Ebeling, Harald
    Edge, A. C.
    Egami, Eiichi
    Ettori, Stefano
    Faisst, Andreas L.
    Frye, Brenda
    Furtak, Lukas J.
    Gómez-Guijarro, C.
    Remolina González, J. D.
    Gonzalez, Anthony
    Graur, Or
    Gruen, Daniel
    Harvey, David
    Hensley, Hagan
    Hovis-Afflerbach, Beryl
    Jablonka, Pascale
    Jha, Saurabh W.
    Jullo, Eric cc
    Kneib, Jean-Paul
    Kokorev, Vasily
    Lagattuta, David J.
    Limousin, Marceau
    von der Linden, Anja
    Linzer, Nora B.
    Lopez, Adrian
    Magdis, Georgios E.
    Massey, Richard
    Masters, Daniel C.
    Maturi, Matteo
    McCully, Curtis
    McGee, Sean L.
    Meneghetti, Massimo
    Mobasher, Bahram
    Moustakas, Leonidas A.
    Murphy, Eric J. cc
    Natarajan, Priyamvada
    Neyrinck, Mark
    O’Connor, Kyle
    Oguri, Masamune cc
    Pagul, Amanda
    Rhodes, Jason
    Rich, R. Michael
    Robertson, Andrew
    Sereno, Mauro
    Shan, Huanyuan
    Smith, Graham P.
    Sneppen, Albert
    Squires, Gordon K.
    Tam, Sut-Ieng
    Tchernin, Céline
    Toft, Sune
    Umetsu, Keiichi
    Weaver, John R.
    van Weeren, R. J.
    Williams, Liliya L. R.
    Wilson, Tom J.
    Yan, Lin cc
    Zitrin, Adi
    Show allShow less
    Affiliation
    Univ Arizona, Steward Observ
    Univ Arizona, Dept Astron
    Issue Date
    2020-04-03
    Keywords
    Hubble Space Telescope
    Galaxy clusters
    Gravitational lensing
    Catalogs
    Supernovae
    High-redshift galaxies
    
    Metadata
    Show full item record
    Publisher
    IOP PUBLISHING LTD
    Citation
    Charles L. Steinhardt et al 2020 ApJS 247 64
    Journal
    ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
    Rights
    © 2020. The American Astronomical Society. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    The Beyond Ultra-deep Frontier Fields and Legacy Observations (BUFFALO) is a 101 orbit + 101 parallel Cycle 25 Hubble Space Telescope (HST) Treasury program taking data from 2018 to 2020. BUFFALO will expand existing coverage of the Hubble Frontier Fields (HFF) in Wide Field Camera 3/IR F105W, F125W, and F160W and Advanced Camera for Surveys/WFC F606W and F814W around each of the six HFF clusters and flanking fields. This additional area has not been observed by HST but is already covered by deep multiwavelength data sets, including Spitzer and Chandra. As with the original HFF program, BUFFALO is designed to take advantage of gravitational lensing from massive clusters to simultaneously find high-redshift galaxies that would otherwise lie below HST detection limits and model foreground clusters to study the properties of dark matter and galaxy assembly. The expanded area will provide the first opportunity to study both cosmic variance at high redshift and galaxy assembly in the outskirts of the large HFF clusters. Five additional orbits are reserved for transient follow-up. BUFFALO data including mosaics, value-added catalogs, and cluster mass distribution models will be released via MAST on a regular basis as the observations and analysis are completed for the six individual clusters.
    ISSN
    0067-0049
    EISSN
    1538-4365
    DOI
    10.3847/1538-4365/ab75ed
    Version
    Final published version
    ae974a485f413a2113503eed53cd6c53
    10.3847/1538-4365/ab75ed
    Scopus Count
    Collections
    UA Faculty Publications

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