Estimating ages and metallicities of M31 star clusters from LAMOST DR6
Estimating ages and metallicities of M31 star clusters from LAMOST DR6
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根据 LAMOST DR6 估算 M31 星团的年龄和金属丰度
DOI:
10.1051/0004-6361/202039531
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发表时间:
2020-11
影响因子:
6.5
通讯作者:
Ma Jun
中科院分区:
文献类型:
--
作者:
Wang Shoucheng;Chen Bingqiu;Ma Jun
Context. Determining the metallicities and ages of M31 clusters is fundamental to the study of the formation and evolution of M31 itself. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) has carried out a systematic spectroscopic campaign of clusters and candidates in M31.
Aims. We constructed a catalogue of 346 M31 clusters observed by LAMOST. By combining the information of the LAMOST spectra and the multi-band photometry, we developed a new algorithm to estimate the metallicities and ages of these clusters.
Methods. We distinguish young clusters from old using random forest classifiers based on a empirical training data set selected from the literature. Ages of young clusters are derived from the spectral energy distribution fits of their multi-band photometric measurements. Their metallicities are estimated by fitting their observed spectral principal components extracted from the LAMOST spectra with those from the young metal-rich single stellar population (SSP) models. For old clusters we built non-parameter random forest models between the spectral principal components and/or multi-band colours and the parameters of the clusters based on a training data set constructed from the SSP models. The ages and metallicities of the old clusters are then estimated by fitting their observed spectral principal components extracted from the LAMOST spectra and multi-band colours from the photometric measurements with the resultant random forest models.
Results. We derived parameters of 53 young and 293 old clusters in our catalogue. Our resultant parameters are in good agreement with those from the literature. The ages of ∼30 catalogued clusters and metallicities of ∼40 sources are derived for the first time.
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影响因子:
6.5
作者:
T. Puzia;K. Perrett;T. Bridges
通讯作者:
T. Puzia;K. Perrett;T. Bridges
影响因子:
6.5
作者:
Song-Yun Wang;Jun Ma;Jifeng Liu
通讯作者:
Song-Yun Wang;Jun Ma;Jifeng Liu
影响因子:
6.5
作者:
S. Perina;L. Federici;M. Bellazzini;C. Cacciari;F. F. Pecci-F.;S. G. D. D. Astronomia-S.-G.-D.-D.-Astronomia-102369218;U. Bologna;Italy.;I. A. D. Bologna
通讯作者:
S. Perina;L. Federici;M. Bellazzini;C. Cacciari;F. F. Pecci-F.;S. G. D. D. Astronomia-S.-G.-D.-D.-Astronomia-102369218;U. Bologna;Italy.;I. A. D. Bologna
影响因子:
6.5
作者:
D. L. Borgne;B. Rocca-Volmerange;P. Prugniel;A. Lançon;M. Fioc;Caroline Soubiran Institut d'Astrophysique de Paris;U. Toronto;crAl;O. Strasbourg;O. Bordeaux
通讯作者:
D. L. Borgne;B. Rocca-Volmerange;P. Prugniel;A. Lançon;M. Fioc;Caroline Soubiran Institut d'Astrophysique de Paris;U. Toronto;crAl;O. Strasbourg;O. Bordeaux
DOI:
10.1088/0004-637x/752/2/95
发表时间:
2012-04
期刊:
The Astrophysical Journal
影响因子:
--
作者:
L. Johnson;A. Seth;J. Dalcanton;N. Caldwell;M. Fouesneau;D. Gouliermis;P. Hodge;S. Larsen;K. Olsen;I. San Roman;A. Sarajedini;D. Weisz;B. Williams;L. Beerman;L. Bianchi;A. Dolphin;L. Girardi;P. Guhathakurta;J. Kalirai;D. Lang;A. Monachesi;S. Nanda;H. Rix;E. Skillman
通讯作者:
L. Johnson;A. Seth;J. Dalcanton;N. Caldwell;M. Fouesneau;D. Gouliermis;P. Hodge;S. Larsen;K. Olsen;I. San Roman;A. Sarajedini;D. Weisz;B. Williams;L. Beerman;L. Bianchi;A. Dolphin;L. Girardi;P. Guhathakurta;J. Kalirai;D. Lang;A. Monachesi;S. Nanda;H. Rix;E. Skillman