Skip navigation
  • INAF logo
  • Home
  • Communities
    & Collections
  • Research outputs
  • Researchers
  • Organization units
  • Projects
  • Explore by
    • Research outputs
    • Researchers
    • Organization units
    • Projects
  • Login:
    • My DSpace
    • Receive email
      updates
    • Edit Account details
  • Italian
  • English

  1. OA@INAF
  2. PRODOTTI RICERCA INAF
  3. 1 CONTRIBUTI IN RIVISTE (Journal articles)
  4. 1.01 Articoli in rivista
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12386/29987
Title: Galaxy Zoo: quantitative visual morphological classifications for 48 000 galaxies from CANDELS
Authors: Simmons, B. D.
Lintott, Chris
Willett, Kyle W.
Masters, Karen L.
Kartaltepe, Jeyhan S.
Häußler, Boris
Kaviraj, Sugata
Krawczyk, Coleman
Kruk, S. J.
McIntosh, Daniel H.
Smethurst, R. J.
Nichol, Robert C.
Scarlata, Claudia
Schawinski, Kevin
Conselice, Christopher J.
Almaini, Omar
Ferguson, Henry C.
Fortson, Lucy
Hartley, William
Kocevski, Dale
Koekemoer, Anton M.
Mortlock, Alice
Newman, Jeffrey A.
Bamford, Steven P.
Grogin, N. A.
Lucas, Ray A.
Hathi, Nimish P.
McGrath, Elizabeth
Peth, Michael
Pforr, Janine
Rizer, Zachary
Wuyts, Stijn
Barro, Guillermo
Bell, Eric F.
CASTELLANO, MARCO 
Dahlen, Tomas
Dekel, Avishai
Ownsworth, Jamie
Faber, Sandra M.
Finkelstein, Steven L.
FONTANA, Adriano 
Galametz, Audrey
Grützbauch, Ruth
Koo, David
Lotz, Jennifer
Mobasher, Bahram
Mozena, Mark
Salvato, Mara
Wiklind, Tommy
Issue Date: 2017
Journal: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 
Number: 464
Issue: 4
First Page: 4420
Abstract: We present quantified visual morphologies of approximately 48 000 galaxies observed in three Hubble Space Telescope legacy fields by the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) and classified by participants in the Galaxy Zoo project. 90 per cent of galaxies have z ≤ 3 and are observed in rest-frame optical wavelengths by CANDELS. Each galaxy received an average of 40 independent classifications, which we combine into detailed morphological information on galaxy features such as clumpiness, bar instabilities, spiral structure, and merger and tidal signatures. We apply a consensus-based classifier weighting method that preserves classifier independence while effectively down-weighting significantly outlying classifications. After analysing the effect of varying image depth on reported classifications, we also provide depth-corrected classifications which both preserve the information in the deepest observations and also enable the use of classifications at comparable depths across the full survey. Comparing the Galaxy Zoo classifications to previous classifications of the same galaxies shows very good agreement; for some applications, the high number of independent classifications provided by Galaxy Zoo provides an advantage in selecting galaxies with a particular morphological profile, while in others the combination of Galaxy Zoo with other classifications is a more promising approach than using any one method alone. We combine the Galaxy Zoo classifications of `smooth' galaxies with parametric morphologies to select a sample of featureless discs at 1 ≤ z ≤ 3, which may represent a dynamically warmer progenitor population to the settled disc galaxies seen at later epochs.
URI: http://hdl.handle.net/20.500.12386/29987
URL: https://academic.oup.com/mnras/article/464/4/4420/2417365
ISSN: 0035-8711
DOI: 10.1093/mnras/stw2587
Bibcode ADS: 2017MNRAS.464.4420S
Fulltext: open
Appears in Collections:1.01 Articoli in rivista

Files in This Item:
File Description SizeFormat 
1610.03070.pdf6.6 MBAdobe PDFView/Open
stw2587.pdfPDF editoriale8.9 MBAdobe PDFView/Open
Show full item record

Page view(s)

8
checked on Mar 8, 2021

Download(s)

2
checked on Mar 8, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are published in Open Access, unless otherwise indicated.


Explore by
  • Communities
    & Collections
  • Research outputs
  • Researchers
  • Organization units
  • Projects

Informazioni e guide per autori

https://openaccess-info.inaf.it: tutte le informazioni sull'accesso aperto in INAF

Come si inserisce un prodotto: le guide a OA@INAF

La Policy INAF sull'accesso aperto

Documenti e modelli scaricabili

Feedback
Built with DSpace-CRIS - Extension maintained and optimized by Logo 4SCIENCE