Dwarfs or giants? Stellar metallicities and distances in the Canada-France-Imaging-Survey from $ugrizG$ multi-band photometry
Guillaume F. Thomas, Nicholaas Annau, Alan McConnachie, Sebastien Fabbro, Hossen Teimoorinia, Patrick Côté, Jean-Charles Cuillandre, Stephen Gwyn, Rodrigo A. Ib… 展开作者
Guillaume F. Thomas, Nicholaas Annau, Alan McConnachie, Sebastien Fabbro, Hossen Teimoorinia, Patrick Côté, Jean-Charles Cuillandre, Stephen Gwyn, Rodrigo A. Ibata, Else Starkenburg, Raymond Carlberg, Benoit Famaey, Nicholas Fantin, Laura Ferrarese, Vincent Hénault-Brunnet, Jaclyn Jensen, Ariane Lancon, Geraint F. Lewis, Nicolas F. Martin, Julio F. Navarro, Céline Reylé, Rubén Sánchez-Janssen
We present a new fully data-driven algorithm that uses photometric data from the Canada-France-Imaging-Survey (CFIS; $u$), Pan-STARRS 1 (PS1; $griz$), and Gaia ($G$) to discriminate between dwarf and giant stars and to estimate their distances and metallicities. The algorithm is trained and tested using the SDSS/SEGUE spectroscopic dataset and Gaia photometric/astrometric dataset. At [Fe/H]$<-1.2$, the algorithm succeeds in identifying more than 70% of the giants in the training/test set, with a dwarf contamination fraction below 30% (with respect to the SDSS/SEGUE dataset). The photometric metallicity estimates have uncertainties better than 0.2 dex when compared with the spectroscopic measurements. The distances estimated by the algorithm are valid out to a distance of at least $\sim 80$ kpc without requiring any prior on the stellar distribution, and have fully independent uncertainities that take into account both random and systematic errors. These advances allow us to estimate these stellar parameters for approximately 12 million stars in the photometric dataset. This will enable studies involving the chemical mapping of the distant outer disc and the stellar halo, including their kinematics using the Gaia proper motions. This type of algorithm can be applied in the Southern hemisphere to the first release of LSST data, thus providing an almost complete view of the external components of our Galaxy out to at least $\sim 80$ kpc. Critical to the success of these efforts will be ensuring well-defined spectroscopic training sets that sample a broad range of stellar parameters with minimal biases. A catalogue containing the training/test set and all relevant parameters within the public footprint of CFIS is available online.
The ultracool-field dwarf luminosity-function and space density from the Canada-France Brown Dwarf Survey
上下文由于最近和正在进行的大规模调查，在过去十年中发现了数百颗褐矮星。加拿大-法国棕矮星巡天（英语：Canada-France Brown Dwarf Survey）是一项利用加拿大-法国-夏威夷望远镜（英语：Canada-France-Hawaii Telescope）上的MegaCam照相机进行的宽视场冷棕矮星巡天。目标。我们的目标是找到超冷的棕矮星，并从一个大的和均匀的L和T矮星样本约束场棕矮星光度函数和质量函数。方法.我们在CFHT/MegaCam i'和z'图像中确定候选者，并在几个望远镜上用指向近红外（NIR）成像跟踪它们。在我们的调查进行到一半时，我们发现了~50个T矮星和~170个L或超冷M矮星，这些矮星是从1400个候选者中抽取的，具有典型的超冷矮星i' - z'颜色，在780平方度内发现。结果我们目前已经完成了对所有候选者的大部分调查的近红外跟踪，从中L矮星到最新的T矮星，已知具有超冷矮星的颜色。这使我们能够利用一个完整的和定义良好的102个超冷矮星的样本来研究场矮星的光度函数和空间密度。结论.我们发现L5到T0晚期矮星的密度为2.0 pm0.8 x 10-3个pc-3，T0.5到T5.5矮星的密度为1.4 pm0.3 x 10-3个pc-3，T6到T8矮星的密度为5.3 pm3.1 x 10-3个pc-3。我们发现，这些结果更符合一个平坦的亚恒星质量函数。在T…
The Pristine survey XXIX. Data Release 2: Photometric metallicities for 15 millions stars down to $G\sim 20.5$
School of Astronomy and Space Science, Nanjing University（南京大学天文与空间科学学院）；Key Laboratory of Modern Astronomy and Astrophysics, Nanjing University, Ministry of Education（南京大学现代天文与天体物理教育部重点实验室）；Institute of Astronomy, University of Cambridge（剑桥大学天文学研究所）；Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550（斯特拉斯堡大学、法国国家科学研究中心、斯特拉斯堡天文台）；Max-Planck-Institut für Astronomie（马克斯·普朗克天文学研究所）；Kapteyn Astronomical Institute, University of Groningen（格罗宁根大学卡普坦天文研究所）；LIRA, Observatoire de Paris, Université PSL, Sorbonne Université, Université Paris Cité, CY Cergy Paris Université, CNRS（巴黎天文台 LIRA 实验室、巴黎文理研究大学、索邦大学、巴黎西岱大学、塞吉-蓬图瓦兹大学、法国国家科学研究中心）；Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Laboratoire Lagrange（蔚蓝海岸大学、蔚蓝海岸天文台、法国国家科学研究中心、拉格朗日实验室）
