|INAF Researchers:||A. Bonanno, M. P. Di Mauro, R. Ventura|
|INAF Associated from University:||L. Paternò|
|PhD Students:||S. Leccia|
Asteroseismology constitutes a unique approach to the direct investigation of stellar structure and evolution which can significantly improve our knowledge of astrophysics, giving information on the structure, dynamics and evolutionary stage of the stars. The stellar oscillation group of Catania joins with a group of the INAF-Astronomical Observatory of Monte Porzio Catone - Rome (F. D'antona et al.), a group of the INAF-IASF (D. Cardini et al.) of Rome, and a group of the INAF-Osservatorio Astromonico di Brera - Merate (E. Antonelli et al.) a collaborative national project on ``Asteroseismology''. Such a project, aims to coordinate the different expertises and skills of the italian researchers which have experience in the field of asteroseismology. The activity of the national group has been partially supported for the year 2004, like in the year 2003, by MIUR - Ministry of Education, University and Research, through the COFIN 2002-2004.
M. P. Di Mauro, involved since several years in activities related to the study of stellar oscillations, has presented an invited review on the theoretical aspects of asteroseismology at the SOHO14/GONG 2004 conference, helds in July 2004 at the University of Yale in New Haven. This review (Di Mauro 2004), after an introduction on the principal characteristics and the pulsational properties of the multi-mode pulsating stars, considers methods and tools available today to manipulate observed frequencies of oscillation in order to investigate the evolutionary and structural properties of the stars. She concluded that asteroseismology is still far from the great results of helioseismology, and that its success will depend on the amount and quality of data which will be collected by the ground-based observatories, the significant improvement in the accuracy expected from the future space missions, and the progresses in the development of the application to the stars of techniques for the data analysis.