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The first Gaia data release unlocked the access to the photometric information of 1.1 billion sources in the $G$-band. Yet, given the high level of degeneracy between extinction and spectral energy distribution for large passbands such as the Gaia $G$-band, a correction for the interstellar reddening is needed in order to exploit Gaia data. The purpose of this manuscript is to provide the empirical estimation of the Gaia $G$-band extinction coefficient $k_G$ for both the red giants and main sequence stars, in order to be able to exploit the first data release DR1. We selected two samples of single stars: one for the red giants and one for the main sequence. Both samples are the result of a cross-match between Gaia DR1 and 2MASS catalogues; they consist of high quality photometry in the $G$-, $J$- and $Ks$-bands. These samples were complemented by temperature and metallicity information retrieved from, respectively, APOGEE DR13 and LAMOST DR2 surveys. We implemented a Markov Chain Monte Carlo method where we used $(G-Ks)_0$ vs $T_mathrm{eff}$ and $(J-Ks)_0$ vs $(G-Ks)_0$ calibration relations to estimate the extinction coefficient $k_G$ and we quantify its corresponding confidence interval via bootstrap resampling method. We tested our method on samples of red giants and main sequence stars, finding consistent solutions. We present here the determination of the Gaia extinction coefficient through a completely empirical method. Furthermore we provide the scientific community a formula for measuring the extinction coefficient as a function of stellar effective temperature, the intrinsic colour $(G-Ks)_0$ and absorption.
Reliable fundamental parameters of open clusters such as distance, age and extinction are key to our understanding of Galactic structure and stellar evolution. In this work we use {it Gaia} DR2 to investigate 45 open clusters listed in the emph{New c
Large spectroscopic surveys of the Milky Way have revealed that a small population of stars in the halo have light element abundances comparable to those found in globular clusters. The favoured explanation for the peculiar abundances of these stars
Basing on the large volume textit{Gaia} Early Data Release 3 and LAMOST Data Release 5 data, we estimate the bias-corrected binary fractions of the field late G and early K dwarfs. A stellar locus outlier method is used in this work, which works well
We present a sub-arcsecond cross-match of Gaia DR2 against the INT Photometric H-alpha Survey of the Northern Galactic Plane Data Release 2 (IPHAS DR2) and the Kepler-INT Survey (KIS). The resulting value-added catalogues (VACs) provide additional pr
We analyze the co-alignment between Hinodes BFI-Gband images and simultaneous SP maps with the aim of characterizing the general off-sets between them and the second order non-linear effects in SPs slit scanning mechanism. We provide calibration func