KMS National Astronomical Observatories, CAS
| Central velocity dispersion catalogue of LAMOST-DR7 galaxies | |
| Napolitano, Nicola R.1; D'Ago, Giuseppe2,3; Tortora, Crescenzo3,4; Zhao, Gang5,6; Luo, A-Li5,6; Tang, Baitian1; Zhang, Wei5; Zhang, Yong7; Li, Rui1 | |
| 2020-11-01 | |
| Source Publication | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
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| ISSN | 0035-8711 |
| Volume | 498Issue:4Pages:5704-5719 |
| Abstract | The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) is a major facility to carry out spectroscopic surveys for cosmology and galaxy evolution studies. The seventh data release of the LAMOST ExtraGAlactic Survey (LEGAS) is currently available and including redshifts of 193 361 galaxies. These sources are spread over similar to 11 500 deg(2) of the sky, largely overlapping with other imaging (SDSS and HSC) and spectroscopic (BOSS) surveys. The estimated depth of the galaxy sample, r similar to 17.8, the high signal-to-noise ratio, and the spectral resolution R = 1800, make the LAMOST spectra suitable for galaxy velocity dispersion (VD) measurements, which are invaluable to study the structure and formation of galaxies and to determine their central dark matter content. We present the first estimates of central VD of similar to 86 000 galaxies in LAMOST footprint. We have used a wrap-up procedure to perform the spectral fitting using PPXF, and derive VD measurements. Statistical errors are also assessed by comparing LAMOST VD estimates with the ones of SDSS and BOSS over a common sample of similar to 51 000 galaxies. The two data sets show a good agreement, within the statistical errors, in particular when VD values are corrected to 1 effective radius aperture. We also present a preliminary mass-sigma relation and find consistency with previous analyses based on local galaxy samples. These first results suggest that LAMOST spectra are suitable for galaxy VD measurements to complement the available catalogues of galaxy internal kinematics in the Northern hemisphere. We plan to expand this analysis to next LAMOST data releases. |
| Keyword | galaxies: evolution galaxies: fundamental parameters galaxies: kinematics and dynamics |
| Funding Organization | National Development and Reform Commission ; National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant ; 'One hundred top talent program of Sun Yat-sen University' grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; CONICYT ; CONICYT ; INAF PRIN-SKA 2017 program ; INAF PRIN-SKA 2017 program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; China National Astronomical Data Center (NADC) ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Development and Reform Commission ; National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant ; 'One hundred top talent program of Sun Yat-sen University' grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; CONICYT ; CONICYT ; INAF PRIN-SKA 2017 program ; INAF PRIN-SKA 2017 program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; China National Astronomical Data Center (NADC) ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Development and Reform Commission ; National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant ; 'One hundred top talent program of Sun Yat-sen University' grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; CONICYT ; CONICYT ; INAF PRIN-SKA 2017 program ; INAF PRIN-SKA 2017 program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; China National Astronomical Data Center (NADC) ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Development and Reform Commission ; National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant ; 'One hundred top talent program of Sun Yat-sen University' grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; CONICYT ; CONICYT ; INAF PRIN-SKA 2017 program ; INAF PRIN-SKA 2017 program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; China National Astronomical Data Center (NADC) ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center |
| DOI | 10.1093/mnras/staa2409 |
| WOS Keyword | TO-LIGHT RATIO ; CENTRAL DARK-MATTER ; DIGITAL SKY SURVEY ; EMISSION-LINE GALAXIES ; STELLAR MASS ; SCALING RELATIONS ; DATA RELEASE ; FUNDAMENTAL PLANE ; ELLIPTIC GALAXIES ; ATLAS(3D) PROJECT |
| Language | 英语 |
| Funding Project | National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant[71000-18841229] ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant[721463] ; CONICYT[Basal AFB-170002] ; INAF PRIN-SKA 2017 program[1.05.01.88.04] ; National Natural Science Foundation of China[11988101] ; National Natural Science Foundation of China[U1931209] ; National Key Research and Development Program of China[2019YFA0405502] ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center |
| Funding Organization | National Development and Reform Commission ; National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant ; 'One hundred top talent program of Sun Yat-sen University' grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; CONICYT ; CONICYT ; INAF PRIN-SKA 2017 program ; INAF PRIN-SKA 2017 program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; China National Astronomical Data Center (NADC) ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Development and Reform Commission ; National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant ; 'One hundred top talent program of Sun Yat-sen University' grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; CONICYT ; CONICYT ; INAF PRIN-SKA 2017 program ; INAF PRIN-SKA 2017 program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; China National Astronomical Data Center (NADC) ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Development and Reform Commission ; National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant ; 'One hundred top talent program of Sun Yat-sen University' grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; CONICYT ; CONICYT ; INAF PRIN-SKA 2017 program ; INAF PRIN-SKA 2017 program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; China National Astronomical Data Center (NADC) ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Development and Reform Commission ; National Development and Reform Commission ; 'One hundred top talent program of Sun Yat-sen University' grant ; 'One hundred top talent program of Sun Yat-sen University' grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; European Union Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant ; CONICYT ; CONICYT ; INAF PRIN-SKA 2017 program ; INAF PRIN-SKA 2017 program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; China National Astronomical Data Center (NADC) ; China National Astronomical Data Center (NADC) ; Chinese Virtual Observatory (China-VO) ; Chinese Virtual Observatory (China-VO) ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center |
| WOS Research Area | Astronomy & Astrophysics |
| WOS Subject | Astronomy & Astrophysics |
| WOS ID | WOS:000587755500080 |
| Publisher | OXFORD UNIV PRESS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.bao.ac.cn/handle/114a11/80904 |
| Collection | 中国科学院国家天文台 |
| Corresponding Author | Napolitano, Nicola R. |
| Affiliation | 1.Sun Yat Sen Univ, Sch Phys & Astron, Zhuhai Campus,2 Daxue Rd, Xiangzhou Dist 519082, Zhuhai, Peoples R China 2.Pontificia Univ Catolica Chile, Inst Astrofis, Av Vicuna Mackenna 4860, Santiago 7820436, Chile 3.INAF Osservatorio Astron Capodimonte, Salita Moiariello 16, I-80131 Naples, Italy 4.INAF Osservatorio Astrofis Arcetri, Largo Enrico Fermi 5, I-50125 Florence, Italy 5.Chinese Acad Sci, Natl Astron Observ, CAS Key Lab Opt Astron, Beijing 100101, Peoples R China 6.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China 7.Chinese Acad Sci, Nanjing Inst Astron Opt & Technol, Natl Astron Observ, Nanjing 210042, Peoples R China |
| Recommended Citation GB/T 7714 | Napolitano, Nicola R.,D'Ago, Giuseppe,Tortora, Crescenzo,et al. Central velocity dispersion catalogue of LAMOST-DR7 galaxies[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2020,498(4):5704-5719. |
| APA | Napolitano, Nicola R..,D'Ago, Giuseppe.,Tortora, Crescenzo.,Zhao, Gang.,Luo, A-Li.,...&Li, Rui.(2020).Central velocity dispersion catalogue of LAMOST-DR7 galaxies.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,498(4),5704-5719. |
| MLA | Napolitano, Nicola R.,et al."Central velocity dispersion catalogue of LAMOST-DR7 galaxies".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 498.4(2020):5704-5719. |
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