Carmencita, The Carmenes Input Catalogue Of Bright, Nearby M Dwarfs

J. A. Caballero, M. Cortés-Contreras, F. J. Alonso-Floriano, D. Montes, A. Quirrenbach, P. J. Amado, I. Ribas, A. Reiners, F. J. Abellan, V. J. S. Béjar, M. Brinkmöller, S. Czesla (+18 others)
2016 Zenodo  
CARMENES, the brand-new, Spanish-German, two-channel, ultra-stabilised, high-resolution spectrograph at the 3.5 m Calar Alto telescope, started its science survey on 01 Jan 2016. In one shot, it covers from 0.52 to 1.71 μm with resolution R = 94,600 (λ < 0.96 μm) and 80,400 (λ > 0.96 μm). During guaranteed time observations, CARMENES carries out the programme for which the instrument was designed: radial-velocity monitoring of bright, nearby, low-mass dwarfs with spectral types be- tween M0.0 V
more » ... es be- tween M0.0 V and M9.5 V. Carmencita is the "CARMEN(ES) Cool dwarf Information and daTa Archive", our input catalogue, from which we select the about 300 targets being observed during guaranteed time. Besides that, Carmencita is perhaps the most comprehensive database of bright, nearby M dwarfs ever built, as well as a useful tool for forthcoming exo-planet hunters: ESPRESSO, HPF, IRD, SPIRou, TESS or even PLATO. Carmencita contains dozens of parameters measured by us or compiled from the literature for about 2,200 M dwarfs in the solar neighbourhood brighter than J = 11.5 mag: accurate coordinates, spectral types, photometry from ultraviolet to mid-infrared, parallaxes and spectro-photometric distances, rotational and radial velocities, Hα pseudo-equivalent widths, X-ray count rates and hardness ratios, close and wide multiplicity data, proper motions, Galactocentric space velocities, metallicities, full references, homogeneously derived astrophysical parameters, and much more. In my talk at Cool Stars 19, I explained how we build Carmencita standing on the shoulders of giants and observing with 2-m class telescopes, and produce a dozen MSc theses and several PhD theses in the process (
doi:10.5281/zenodo.60060 fatcat:7wkz6dwnabakxcadgbxbvbn3sq