BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Marco Tarantino (University of Palermo) DTSTART:20250326T121500Z DTEND:20250326T130000Z DTSTAMP:20260422T155330Z UID:gbgstats/88 DESCRIPTION:Title: Using a Neural Network approach and Starspots dependent models to predic t Effective Temperatures and Ages of young stars\nby Marco Tarantino ( University of Palermo) as part of Gothenburg statistics seminar\n\nLecture held in MVL14.\n\nAbstract\nThis study presents a statistical approach to accurately predict the effective temperatures of pre-main sequence stars\ , which are necessary for determining stellar ages using the isochrone met hodology and cutting-age starspots-dependent models. By training a Neural Network model on high-quality spectroscopic temperatures from the Gaia-ESO Survey as the response variable\, and using photometric data from Gaia DR 3 and 2MASS catalogs as explanatory variables\, we implemented a methodolo gy to accurately derive the effective temperatures of much larger populati ons of stars for which only photometric data are available. The model demo nstrated robust performance for low-mass stars with temperatures below 700 0 K\, including young stars\, the primary focus of this work. Predicted t emperatures were employed to construct Hertzsprung-Russell diagrams and to predict stellar ages of different young clusters and star forming regions through isochrone interpolation\, achieving excellent agreement with spec troscopic-based ages and literature values derived from model-independent methods like lithium equivalent widths. The inclusion of starspot evolutio nary models improved the age predictions\, providing a more accurate descr iption of stellar properties. Additionally\, the results regarding the eff ective temperature and age predictions of the young clusters provide evide nces of the presence of intrinsic age spreads in the youngest clusters\, s uggesting multiple formation events over time.\n LOCATION:https://researchseminars.org/talk/gbgstats/88/ END:VEVENT END:VCALENDAR