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/20.500.12386/30063
Title: The Data Analysis Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey: Overview
Authors: Westfall, Kyle B.
Cappellari, Michele
Bershady, Matthew A.
Bundy, Kevin
BELFIORE, FRANCESCO MICHEL CONCETTO 
Ji, Xihan
Law, David R.
Schaefer, Adam
Shetty, Shravan
Tremonti, Christy A.
Yan, Renbin
Andrews, Brett H.
Brownstein, Joel R.
Cherinka, Brian
Coccato, Lodovico
Drory, Niv
Maraston, Claudia
Parikh, Taniya
Sánchez-Gallego, José R.
Thomas, Daniel
Weijmans, Anne-Marie
Barrera-Ballesteros, Jorge
Du, Cheng
Goddard, Daniel
Li, Niu
Masters, Karen
Ibarra Medel, Héctor Javier
Sánchez, Sebastián F.
Yang, Meng
Zheng, Zheng
Zhou, Shuang
Issue Date: 2019
Journal: THE ASTRONOMICAL JOURNAL 
Number: 158
Issue: 6
First Page: 231
Abstract: The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is currently acquiring integral-field spectroscopy for the largest sample of galaxies to date. By 2020, the MaNGA Survey—which is one of three core programs in the fourth-generation Sloan Digital Sky Survey (SDSS-IV)—will have observed a statistically representative sample of 10<SUP>4</SUP> galaxies in the local universe (z ≲ 0.15). In addition to a robust data-reduction pipeline (DRP), MaNGA has developed a data-analysis pipeline (DAP) that provides higher-level data products. To accompany the first public release of its code base and data products, we provide an overview of the MaNGA DAP, including its software design, workflow, measurement procedures and algorithms, performance, and output data model. In conjunction with our companion paper (Belfiore et al.), we also assess the DAP output provided for 4718 observations of 4648 unique galaxies in the recent SDSS Data Release 15 (DR15). These analysis products focus on measurements that are close to the data and require minimal model-based assumptions. Namely, we provide stellar kinematics (velocity and velocity dispersion), emission-line properties (kinematics, fluxes, and equivalent widths), and spectral indices (e.g., D4000 and the Lick indices). We find that the DAP provides robust measurements and errors for the vast majority (>99%) of analyzed spectra. We summarize assessments of the precision and accuracy of our measurements as a function of signal-to-noise. We also provide specific guidance to users regarding the limitations of the data. The MaNGA DAP software is publicly available and we encourage community involvement in its development.
URI: http://hdl.handle.net/20.500.12386/30063
URL: https://iopscience.iop.org/article/10.3847/1538-3881/ab44a2
ISSN: 0004-6256
DOI: 10.3847/1538-3881/ab44a2
Bibcode ADS: 2019AJ....158..231W
Fulltext: open
Appears in Collections:1.01 Articoli in rivista

Files in This Item:
File Description SizeFormat 
1901.00856.pdfpreprint10.18 MBAdobe PDFView/Open
Westfall_2019_AJ_158_231.pdfpdf editoriale35.61 MBAdobe PDFView/Open
Show full item record

Page view(s)

6
checked on Mar 8, 2021

Download(s)

3
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