论文标题
使用GAIA DR2和SDSS DR14数据库（guvMatch）的Galex UV源的匹配的光度计目录
Matched photometric catalogs of GALEX UV sources with Gaia DR2 and SDSS DR14 databases (GUVmatch)
论文作者
论文摘要
我们已经将GUVCAT_AIS（Bianchi et al.2017）中的紫外线（UV）来源与具有相似深度和宽阔天空覆盖率的光学数据库匹配。 GUVCAT_AIS具有galex far-uv（fuv，lambda-eff〜1528Å）和近紫外（nuv，lambda-eff〜2310Å）的光度法，约为8300万个来源，涵盖了24,788平方的天空，典型的天空深度为fuv = 19.9，nuv = 19.9，nuv = 20.8 abmag。此处介绍了与Gaia和SDSS数据库的匹配。 Gaia Data Release 2（DR2）涵盖了整个GUVCAT足迹（Bianchi等，2019），检测到$ GUVCAT \ _AIS $来源的三分之一。我们发现31,925,294 Gaia〜Dr2对应物至30,024,791 Guvcat_ais独特来源，具有$ GAIA $〜$ G $ band的光度计，并且通常也以$ Gaia $〜$〜$ bp $和$ rp $ bands为单位； 26,275,572场比赛具有视差测量，21,084,628/18,588,140/16,357,505，视差误差小于50％/30％/20％。 与SDSS数据版本14（DR14）的比赛产生了23,310,532个同行，达到22,207,563个独特的GUVCAT_AIS来源，其中10,167,460个类似点状，超过$ \ $ \ $ \ $ \ $ 11,100〜quare〜Degrees（bianchi et al Al a al Al $ \ $ \ $ \ $ \ $ \ $ \。 SDS添加了紫外光度法五个光学幅度：$ U，G，R，I，Z $和860,224匹配的光谱光谱。 我们使用了3ARCSEC的匹配半径，与以前的作品一致（例如，Bianchi等人，2011a），尽管这些位置同意$ \ \ lyssim $ 1.5Arcsec对于大多数[类似点的]匹配源，以便确定可能在Galex Fimecing中分辨出UV量的多个匹配。使用提供的分离可以将目录修剪成更紧密的匹配半径。 多带光度法用于识别紫外线中突出的天体物理对象类别，以表征$ guvMatch $目录的内容，其中可以分开不同进化阶段的星星，QSOS和星系具有分离。
We have matched the ultraviolet (UV) sources in GUVcat_AIS (Bianchi et al.2017) with optical databases having similar depth and wide sky coverage. GUVcat_AIS has GALEX far-UV (FUV, lambda-eff ~1528Å) and near-UV (NUV, lambda-eff ~2310Å) photometry of approx 83~million sources, covering 24,788 square degrees of the sky, with typical depth of FUV=19.9, NUV=20.8~ABmag. Matches with Gaia and SDSS databases are presented here. Gaia data release 2 (DR2), covering the entire GUVcat footprint (Bianchi et al. 2019), detected about one third of the $GUVcat\_AIS$ sources. We found 31,925,294 Gaia~DR2 counterparts to 30,024,791 GUVcat_AIS unique sources, with photometry in $Gaia$~$G$ band, and often also in $Gaia$~$BP$ and $RP$ bands; 26,275,572 matches have a parallax measurement, 21,084,628/18,588,140/16,357,505 with parallax error less than 50%/30%/20%. The match with SDSS data release 14 (DR14) yields 23,310,532 counterparts to 22,207,563 unique GUVcat_AIS sources, 10,167,460 of which are point-like, over a total overlap area of $\approx$11,100~square~degrees (Bianchi et al. 2019)}. SDSS adds to the UV photometry five optical magnitudes: $u,g,r,i,z$, and optical spectra of 860,224 matched sources. We used a match radius of 3arcsec, consistent with previous works (e.g., Bianchi et al. 2011a), although the positions agree to $\lesssim$1.5arcsec for the majority of [point-like] matched-sources, in order to identify possible multiple matches whose UV flux could be unresolved in GALEX imaging. The catalogs can be trimmed to a tighter match radius using the provided separation. The multi-band photometry is used to identify classes of astrophysical objects that are prominent in UV, to characterise the content of the $GUVmatch$ catalogs, where stars in different evolutionary stages, QSOs, and galaxies can be separated.
