Skip to content
Back to outputs

SDSS-IV MaNGA: Bulge-Disc Decomposition of IFU Datacubes (BUDDI)

Research output: Contribution to journalArticle

Standard

SDSS-IV MaNGA : Bulge-Disc Decomposition of IFU Datacubes (BUDDI). / Johnston, Evelyn J.; Haeussler, Boris; Aragon-Salamanca, Alfonso; Merrifield, Michael R.; Bamford, Steven; Bershady, Matthew A.; Bundy, Kevin; Drory, Niv; Fu, Hai; Law, David; Nitschelm, Christian; Thomas, Daniel; Lopes, Alexandre Roman; Wake, David; Yan, Renbin.

In: Monthly Notices of the Royal Astronomical Society, Vol. 465, No. 2, 21.02.2017, p. 2317-2341.

Research output: Contribution to journalArticle

Harvard

Johnston, EJ, Haeussler, B, Aragon-Salamanca, A, Merrifield, MR, Bamford, S, Bershady, MA, Bundy, K, Drory, N, Fu, H, Law, D, Nitschelm, C, Thomas, D, Lopes, AR, Wake, D & Yan, R 2017, 'SDSS-IV MaNGA: Bulge-Disc Decomposition of IFU Datacubes (BUDDI)', Monthly Notices of the Royal Astronomical Society, vol. 465, no. 2, pp. 2317-2341. https://doi.org/10.1093/mnras/stw2823

APA

Johnston, E. J., Haeussler, B., Aragon-Salamanca, A., Merrifield, M. R., Bamford, S., Bershady, M. A., Bundy, K., Drory, N., Fu, H., Law, D., Nitschelm, C., Thomas, D., Lopes, A. R., Wake, D., & Yan, R. (2017). SDSS-IV MaNGA: Bulge-Disc Decomposition of IFU Datacubes (BUDDI). Monthly Notices of the Royal Astronomical Society, 465(2), 2317-2341. https://doi.org/10.1093/mnras/stw2823

Vancouver

Johnston EJ, Haeussler B, Aragon-Salamanca A, Merrifield MR, Bamford S, Bershady MA et al. SDSS-IV MaNGA: Bulge-Disc Decomposition of IFU Datacubes (BUDDI). Monthly Notices of the Royal Astronomical Society. 2017 Feb 21;465(2):2317-2341. https://doi.org/10.1093/mnras/stw2823

Author

Johnston, Evelyn J. ; Haeussler, Boris ; Aragon-Salamanca, Alfonso ; Merrifield, Michael R. ; Bamford, Steven ; Bershady, Matthew A. ; Bundy, Kevin ; Drory, Niv ; Fu, Hai ; Law, David ; Nitschelm, Christian ; Thomas, Daniel ; Lopes, Alexandre Roman ; Wake, David ; Yan, Renbin. / SDSS-IV MaNGA : Bulge-Disc Decomposition of IFU Datacubes (BUDDI). In: Monthly Notices of the Royal Astronomical Society. 2017 ; Vol. 465, No. 2. pp. 2317-2341.

Bibtex

@article{d576f3666de74cf19e8fe7e5dd8746f8,
title = "SDSS-IV MaNGA: Bulge-Disc Decomposition of IFU Datacubes (BUDDI)",
abstract = "With the availability of large integral-field unit (IFU) spectral surveys of nearby galaxies, there is now the potential to extract spectral information from across the bulges and discs of galaxies in a systematic way. This information can address questions such as how these components built up with time, how galaxies evolve and whether their evolution depends on other properties of the galaxy such as its mass or environment. We present BUDDI, a new approach to fit the two-dimensional light profiles of galaxies as a function of wavelength to extract the spectral properties of these galaxies' discs and bulges. The fitting is carried out using GalfitM, a modified form of Galfit which can fit multi-waveband images simultaneously. The benefit of this technique over traditional multi-waveband fits is that the stellar populations of each component can be constrained using knowledge over the whole image and spectrum available. The decomposition has been developed using commissioning data from the SDSS-IV Mapping Nearby Galaxies at APO (MaNGA) survey with redshifts z 22 arcsec, but can be applied to any IFU data of a nearby galaxy with similar or better spatial resolution and coverage. We present an overview of the fitting process, the results from our tests, and we finish with example stellar population analyses of early-type galaxies from the MaNGA survey to give an indication of the scientific potential of applying bulge-disc decomposition to IFU data.",
keywords = "astro-ph.GA, RCUK, STFC, galaxies: bulges, galaxies: evolution, galaxies: formation, galaxies: stellar content, galaxies: structure",
author = "Johnston, {Evelyn J.} and Boris Haeussler and Alfonso Aragon-Salamanca and Merrifield, {Michael R.} and Steven Bamford and Bershady, {Matthew A.} and Kevin Bundy and Niv Drory and Hai Fu and David Law and Christian Nitschelm and Daniel Thomas and Lopes, {Alexandre Roman} and David Wake and Renbin Yan",
year = "2017",
month = feb,
day = "21",
doi = "10.1093/mnras/stw2823",
language = "English",
volume = "465",
pages = "2317--2341",
journal = "MNRAS",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "2",

}

RIS

TY - JOUR

T1 - SDSS-IV MaNGA

T2 - Bulge-Disc Decomposition of IFU Datacubes (BUDDI)

AU - Johnston, Evelyn J.

AU - Haeussler, Boris

AU - Aragon-Salamanca, Alfonso

AU - Merrifield, Michael R.

AU - Bamford, Steven

AU - Bershady, Matthew A.

AU - Bundy, Kevin

AU - Drory, Niv

AU - Fu, Hai

AU - Law, David

AU - Nitschelm, Christian

AU - Thomas, Daniel

AU - Lopes, Alexandre Roman

AU - Wake, David

AU - Yan, Renbin

PY - 2017/2/21

Y1 - 2017/2/21

N2 - With the availability of large integral-field unit (IFU) spectral surveys of nearby galaxies, there is now the potential to extract spectral information from across the bulges and discs of galaxies in a systematic way. This information can address questions such as how these components built up with time, how galaxies evolve and whether their evolution depends on other properties of the galaxy such as its mass or environment. We present BUDDI, a new approach to fit the two-dimensional light profiles of galaxies as a function of wavelength to extract the spectral properties of these galaxies' discs and bulges. The fitting is carried out using GalfitM, a modified form of Galfit which can fit multi-waveband images simultaneously. The benefit of this technique over traditional multi-waveband fits is that the stellar populations of each component can be constrained using knowledge over the whole image and spectrum available. The decomposition has been developed using commissioning data from the SDSS-IV Mapping Nearby Galaxies at APO (MaNGA) survey with redshifts z 22 arcsec, but can be applied to any IFU data of a nearby galaxy with similar or better spatial resolution and coverage. We present an overview of the fitting process, the results from our tests, and we finish with example stellar population analyses of early-type galaxies from the MaNGA survey to give an indication of the scientific potential of applying bulge-disc decomposition to IFU data.

AB - With the availability of large integral-field unit (IFU) spectral surveys of nearby galaxies, there is now the potential to extract spectral information from across the bulges and discs of galaxies in a systematic way. This information can address questions such as how these components built up with time, how galaxies evolve and whether their evolution depends on other properties of the galaxy such as its mass or environment. We present BUDDI, a new approach to fit the two-dimensional light profiles of galaxies as a function of wavelength to extract the spectral properties of these galaxies' discs and bulges. The fitting is carried out using GalfitM, a modified form of Galfit which can fit multi-waveband images simultaneously. The benefit of this technique over traditional multi-waveband fits is that the stellar populations of each component can be constrained using knowledge over the whole image and spectrum available. The decomposition has been developed using commissioning data from the SDSS-IV Mapping Nearby Galaxies at APO (MaNGA) survey with redshifts z 22 arcsec, but can be applied to any IFU data of a nearby galaxy with similar or better spatial resolution and coverage. We present an overview of the fitting process, the results from our tests, and we finish with example stellar population analyses of early-type galaxies from the MaNGA survey to give an indication of the scientific potential of applying bulge-disc decomposition to IFU data.

KW - astro-ph.GA

KW - RCUK

KW - STFC

KW - galaxies: bulges

KW - galaxies: evolution

KW - galaxies: formation

KW - galaxies: stellar content

KW - galaxies: structure

U2 - 10.1093/mnras/stw2823

DO - 10.1093/mnras/stw2823

M3 - Article

VL - 465

SP - 2317

EP - 2341

JO - MNRAS

JF - MNRAS

SN - 0035-8711

IS - 2

ER -

ID: 5520394