Fitting the integrated Spectral Energy Distributions of Galaxies

Fitting the spectral energy distributions (SEDs) of galaxies is an almost universally used technique that has matured significantly in the last decade. Model predictions and fitting procedures have improved significantly over this time, attempting to keep up with the vastly increased volume and quality of available data. We review here the field of SED fitting, describing the modelling of ultraviolet to infrared galaxy SEDs, the creation of multiwavelength data sets, and the methods used to fit model SEDs to observed galaxy data sets. We touch upon the achievements and challenges in the major ingredients of SED fitting, with a special emphasis on describing the interplay between the quality of the available data, the quality of the available models, and the best fitting technique to use in order to obtain a realistic measurement as well as realistic uncertainties. We conclude that SED fitting can be used effectively to derive a range of physical properties of galaxies, such as redshift, stellar masses, star formation rates, dust masses, and metallicities, with care taken not to over-interpret the available data. Yet there still exist many issues such as estimating the age of the oldest stars in a galaxy, finer details ofdust properties and dust-star geometry, and the influences of poorly understood, luminous stellar types and phases. The challenge for the coming years will be to improve both the models and the observational data sets to resolve these uncertainties. The present review will be made available on an interactive, moderated web page (sedfitting.org), where the community can access and change the text. The intention is to expand the text and keep it up to date over the coming years.Comment: 54 pages, 26 figures, Accepted for publication in Astrophysics & Space Scienc

Restriction of receptor movement alters cellular response: Physical force sensing by EphA2

10.1126/science.1181729Science32759711380-1385SCIE

Italian Scientists Abroad in Europe's Scientific Research Scenario: High skill migration as a resource for development in Italy

In recent years, the brain drain issue has gained such momentum that it has become necessary to adopt tools and methods to take a picture of a phenomenon that is, by its very nature, dynamic and changeable (Portes, 1976; Meyer, 2001; Ackers, 2005; Scott, 2015). This particular study focuses on clarifying the reasons why Italian scientists choose to look elsewhere for the best place to conduct their scientific research, and in what way their scientific experience abroad shapes the image of the Italian scientific system. A first exploratory analysis involving 83 in-depth interviews with Italian scientists (mathematicians, engineers and physicists) working in Europe was conducted based on qualitative and quantitative analytical methods, and the content emerging from these interviews was used for a systematic mapping of the situation that provided the foundations for our preparation of a second tool \u2013 a questionnaire \u2013 that was subsequently used to conduct a much more broad-based survey that involved 602 respondents. While our findings add complexity to existing theories on the brain drain and brain circulation, they also confirm the potential of highly skilled migration to improve the national development of Italian academic system