The Gaia mission

Gaia is a cornerstone mission in the science programme of the EuropeanSpace Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach. Both the spacecraft and the payload were built by European industry. The involvement of the scientific community focusses on data processing for which the international Gaia Data Processing and Analysis Consortium (DPAC) was selected in 2007. Gaia was launched on 19 December 2013 and arrived at its operating point, the second Lagrange point of the Sun-Earth-Moon system, a few weeks later. The commissioning of the spacecraft and payload was completed on 19 July 2014. The nominal five-year mission started with four weeks of special, ecliptic-pole scanning and subsequently transferred into full-sky scanning mode. We recall the scientific goals of Gaia and give a description of the as-built spacecraft that is currently (mid-2016) being operated to achieve these goals. We pay special attention to the payload module, the performance of which is closely related to the scientific performance of the mission. We provide a summary of the commissioning activities and findings, followed by a description of the routine operational mode. We summarise scientific performance estimates on the basis of in-orbit operations. Several intermediate Gaia data releases are planned and the data can be retrieved from the Gaia Archive, which is available through the Gaia home page. http://www.cosmos.esa.int/gai

Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds

We compare the Gaia DR2 and Gaia EDR3 performances in the study of the Magellanic Clouds and show the clear improvements in precision and accuracy in the new release. We also show that the systematics still present in the data make the determination of the 3D geometry of the LMC a difficult endeavour; this is at the very limit of the usefulness of the Gaia EDR3 astrometry, but it may become feasible with the use of additional external data. We derive radial and tangential velocity maps and global profiles for the LMC for the several subsamples we defined. To our knowledge, this is the first time that the two planar components of the ordered and random motions are derived for multiple stellar evolutionary phases in a galactic disc outside the Milky Way, showing the differences between younger and older phases. We also analyse the spatial structure and motions in the central region, the bar, and the disc, providing new insights into features and kinematics. Finally, we show that the Gaia EDR3 data allows clearly resolving the Magellanic Bridge, and we trace the density and velocity flow of the stars from the SMC towards the LMC not only globally, but also separately for young and evolved populations. This allows us to confirm an evolved population in the Bridge that is slightly shift from the younger population. Additionally, we were able to study the outskirts of both Magellanic Clouds, in which we detected some well-known features and indications of new ones

A Further Examination of the Multidimensional Workaholism Scale (MWS) in Italy and U.S: Measurement Equivalence, Convergent, Discriminant, and Predictive Validity

: In the current study we replicated and extended the validation of the Multidimensional Workaholism Scale through: 1) the examination of the relationship between the MWS and the Bergen Work Addiction Scale; 2) the test of measurement invariance of the U.S. and the Italian versions; and 3) the analysis of predictive validity of the MWS through a series of cross-lagged panel models on a two-wave Italian sample (N = 304), including work-family conflict and emotional exhaustion. Configural, metric and partial scalar invariance was achieved on a sample of 591 Italian and 313 U.S. workers. Results supported convergent, discriminant, and predictive validity of the Italian version. Evidence of the predictive role of workaholism was found in relation to work-family conflict and emotional exhaustion. Finally, the different dimensions demonstrated some incremental validity in the prediction of specific outcomes over and above other dimensions of the MWS. In sum, we provided additional evidence of the validity of the MWS, which represents a tool for researchers and practitioners, validating its use in Italy to better understand the workaholism phenomenon