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      A Transient Transit Signature Associated with the Young Star RIK-210

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          Disk accretion onto magnetic T Tauri stars

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            Catalogue of UBVRI photometry of T Tauri stars and analysis of the causes of their variability

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              Is Open Access

              PARSEC: stellar tracks and isochrones with the PAdova and TRieste Stellar Evolution Code

              We present the updated version of the code used to compute stellar evolutionary tracks in Padova. It is the result of a thorough revision of the major input physics, together with the inclusion of the pre-main sequence phase, not present in our previous releases of stellar models. Another innovative aspect is the possibility of promptly generating accurate opacity tables fully consistent with any selected initial chemical composition, by coupling the OPAL opacity data at high temperatures to the molecular opacities computed with our AESOPUS code (Marigo & Aringer 2009). In this work we present extended sets of stellar evolutionary models for various initial chemical compositions, while other sets with different metallicities and/or different distributions of heavy elements are being computed. For the present release of models we adopt the solar distribution of heavy elements from the recent revision by Caffau et al. (2011), corresponding to a Sun's metallicity Z=0.0152. From all computed sets of stellar tracks, we also derive isochrones in several photometric systems. The aim is to provide the community with the basic tools to model star clusters and galaxies by means of population synthesis techniques.
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                Author and article information

                Journal
                The Astrophysical Journal
                ApJ
                American Astronomical Society
                1538-4357
                February 01 2017
                January 27 2017
                : 835
                : 2
                : 168
                Article
                10.3847/1538-4357/835/2/168
                a4697386-548e-48ea-ab22-6b690779391c
                © 2017

                http://iopscience.iop.org/info/page/text-and-data-mining

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