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dc.contributor.authorWestfall, Kyle B.
dc.contributor.authorCappellari, Michele
dc.contributor.authorBershady, Matthew A.
dc.contributor.authorBundy, Kevin
dc.contributor.authorBelfiore, Francesco
dc.contributor.authorJi, Xihan
dc.contributor.authorLaw, David R.
dc.contributor.authorSchaefer, Adam
dc.contributor.authorShetty, Shravan
dc.contributor.authorTremonti, Christy A.
dc.contributor.authorYan, Renbin
dc.contributor.authorAndrews, Brett H.
dc.contributor.authorBrownstein, Joel R.
dc.contributor.authorCherinka, Brian
dc.contributor.authorCoccato, Lodovico
dc.contributor.authorDrory, Niv
dc.contributor.authorMaraston, Claudia
dc.contributor.authorParikh, Taniya
dc.contributor.authorSánchez-Gallego, José R.
dc.contributor.authorThomas, Daniel
dc.contributor.authorWeijmans, Anne-Marie
dc.contributor.authorBarrera-Ballesteros, Jorge
dc.contributor.authorDu, Cheng
dc.contributor.authorGoddard, Daniel
dc.contributor.authorLi, Niu
dc.contributor.authorMasters, Karen
dc.contributor.authorIbarra Medel, Héctor Javier
dc.contributor.authorSánchez, Sebastián F.
dc.contributor.authorYang, Meng
dc.contributor.authorZheng, Zheng
dc.contributor.authorZhou, Shuang
dc.identifier.citationWestfall , K B , Cappellari , M , Bershady , M A , Bundy , K , Belfiore , F , Ji , X , Law , D R , Schaefer , A , Shetty , S , Tremonti , C A , Yan , R , Andrews , B H , Brownstein , J R , Cherinka , B , Coccato , L , Drory , N , Maraston , C , Parikh , T , Sánchez-Gallego , J R , Thomas , D , Weijmans , A-M , Barrera-Ballesteros , J , Du , C , Goddard , D , Li , N , Masters , K , Ibarra Medel , H J , Sánchez , S F , Yang , M , Zheng , Z & Zhou , S 2019 , ' The data analysis pipeline for the SDSS-IV MaNGA IFU Galaxy Survey : overview ' , Astronomical Journal , vol. 158 , no. 6 , 231 .
dc.identifier.otherPURE: 262929038
dc.identifier.otherPURE UUID: 79e5285f-7835-498f-9966-2238853e2903
dc.identifier.otherBibCode: 2019arXiv190100856W
dc.identifier.otherORCID: /0000-0002-5908-6852/work/66398405
dc.identifier.otherWOS: 000499383400001
dc.identifier.otherScopus: 85081203494
dc.description.abstractMapping Nearby Galaxies at Apache Point Observatory (MaNGA) is acquiring integral-field spectroscopy for the largest sample of galaxies to date. By 2020, the MaNGA Survey - one of three core programs in the fourth-generation Sloan Digital Sky Survey (SDSS-IV) - will have observed a statistically representative sample of 104 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 andvelocity 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, and 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.
dc.relation.ispartofAstronomical Journalen
dc.rightsCopyright © 2019 American Astronomical Society. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the final published version of the work, which was originally published at
dc.subjectMethods: data analysisen
dc.subjectTechniques: imaging spectroscopyen
dc.subjectGalaxies: generalen
dc.subjectGalaxies: fundamental parametersen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.titleThe data analysis pipeline for the SDSS-IV MaNGA IFU Galaxy Survey : overviewen
dc.typeJournal articleen
dc.contributor.sponsorThe Leverhulme Trusten
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews. Centre for Contemporary Arten
dc.description.statusPeer revieweden

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