C. C. Worley, Ulrike Heiter, P. de Laverny, Thibault Merle, Sara Bladh, Carlos Abia, Aruna Goswami, C. I. Short, Megan Ireland, Bertrand Plez, Ryan Norris, Jesus Maldonado, Benjamin Montesinos, Takashi Tsuji, Robert W. Peterson, Robert F. Wing, Frédéric Thévenin, Glenn M. Wahlgren, Thomas Lebzelter, Georges Kordopatis, Alcione Mora, Walter Nowotny, Michael Scholz, Hilding R. Neilson, Kjell Eriksson, Alejandra Recio-Blanco, B. Aringer, UAM. Departamento de Física Teórica, Laboratoire Univers et Particules de Montpellier (LUPM), and Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Astronomy and Astrophysics 547 (2012): A108 reproduced with permission from Astronomy & Astrophysics, Context. Our ability to extract information from the spectra of stars depends on reliable models of stellar atmospheres and appropriate techniques for spectral synthesis. Various model codes and strategies for the analysis of stellar spectra are available today. Aims. We aim to compare the results of deriving stellar parameters using different atmosphere models and different analysis strategies. The focus is set on high-resolution spectroscopy of cool giant stars. Methods. Spectra representing four cool giant stars were made available to various groups and individuals working in the area of spectral synthesis, asking them to derive stellar parameters from the data provided. The results were discussed at a workshop in Vienna in 2010. Most of the major codes currently used in the astronomical community for analyses of stellar spectra were included in this experiment. Results. We present the results from the different groups, as well as an additional experiment comparing the synthetic spectra produced by various codes for a given set of stellar parameters. Similarities and differences of the results are discussed. Conclusions. Several valid approaches to analyze a given spectrum of a star result in quite a wide range of solutions. The main causes for the differences in parameters derived by different groups seem to lie in the physical input data and in the details of the analysis method. This clearly shows how far from a definitive abundance analysis we still are, The workshop on which this paper is based was kindly supported by the ESF through the GREAT initiative, by the Robert F.Wing Support Fund at Ohio State University, and the Department of Astronomy at the University of Vienna. Funded by the Austrian Science Fund FWF projects P20046, P21988, and P23737. U.H. Support from the Swedish National Space Board. C.A. Partial support by the Spanish grant YA2008-08013-C03-03. H.N. Financial support from the Alexander von Humboldt foundation. K.E. Support from The Swedish Research Council. C.W. Financial support of CNES, OCA and ESO. Financial support of CNES and CNRS. Support by the Austrian Science Fund FWF under project number P23006