Calendar

Google meet: https://meet.google.com/sxz-cctp-tsc

Speaker: Dr David Pascoe (University of St Andrews)

Titolo: Modern Diagnostic Techniques for Stellar Atmospheres

Abstract:
The high spatial and temporal resolution provided by the Solar Dynamics Observatory inspired the development of advanced observational techniques to probe the solar atmosphere. For example, forward modelling of the EUV profile of coronal structures and the seismological analysis of magnetohydrodynamic waves provide powerful diagnostics to constrain properties such as the plasma density and magnetic field strength. We also increasingly employ Bayesian analysis to increase the robustness and accuracy of our modelling. These techniques are now also applied to study quasi-periodic pulsations associated with solar and stellar flares, and our models are being extended to take advantage of in situ measurements from Solar Orbiter and Parker Solar Probe.

Speaker: Marco Tarantino Studente Magistrale in Statistica e Data Science (LM-82), Universita’  degli Studi di Palermo

Titolo:
APPLICAZIONE DI TECNICHE STATISTICHE PER LA PREVISIONE DELLA
TEMPERATURA EFFETTIVA DI STELLE GIOVANI

Abstract:
Uno degli attuali argomenti di discussione riguarda la durata del processo di formazione di cluster stellari: vi sono modelli teorici che ipotizzano un unico evento dal quale si formano tutte le stelle appartenenti ad uno stesso cluster, considerando un processo di formazione rapido, altri modelli che, invece, suppongono piu’ eventi di formazione, tenendo conto di un processo di formazione lento. Uno dei metodi piu’ utilizzati per ricavare l’eta’ delle stelle si basa sul confronto della distribuzione delle stelle sul diagramma H-R con le isocrone teoriche. Una variabile fondamentale per applicare questo metodo e’  la temperatura efficace, la quale si puo’  ricavare in maniera accurata dalla spettroscopia. Tuttavia, nell’epoca delle grandi survey fotometriche, e’ necessario derivare la temperatura efficace basandosi sulla fotometria. L’obiettivo del lavoro consiste nel trovare un modello che permetta di ottenere buone previsioni della temperatura effettiva di stelle giovani, utilizzando variabili fotometriche di stelle ottenute da tre cataloghi differenti, ovvero Gaia, Gaia-ESO Survey, Pan-STARRS e 2MASS. I risultati previsivi evidenziano come il Random Forest rappresenti una buona soluzione per la previsione della temperatura effettiva. Durante questo seminario introdurro’ i cinque approcci statistici applicati nell’analisi svolta, evidenziando in particolare i risultati relativi al Random Forest, risultato il migliore dei cinque.

Speaker: Mario Guarcello (INAF)

Titolo: “EWOCS: status of the project.”

Abstract: “The EWOCS project has the objective of studying star and planet formation, and early stellar evolution, in very young massive clusters (VYMCs). With a mass in excess of 10^4 solar masses, the very few VYMCs known in the Milky Way represent the most accessible examples of starburst regions, which are very rare in our Galaxy today, but common in galaxies experiencing epochs of intense star formation. These regions are characterized by very high stellar density, and they are dominated by a rich and compact ensemble of massive stars that produce an environment dominated by energetic radiation and particles. With a distance of 3.87 kpc and 4.5 kpc, respectively, the Westerlund 1 and 2 clusters are the closest VYMCs to the Sun, and thus the best targets to study how stars and planets form in the most energetic star forming environment known. In this talk, I will present the status and the preliminary results of the EWOCS project, which is mainly based on a 1Msec Chandra/ACIS-I Large Project and a cycle 1 JWST observation of Westerlund 1, a cycle 2 JWST observation of Westerlund 2, and other data at high spatial resolution of the two clusters.”

Google meet: https://meet.google.com/sxz-cctp-tsc?pli=1&authuser=1

Speaker: Maria Kopsacheili (ICE-CSIC)
Titolo: New larger sample of Supernova Remnants in NGC 7793, using MUSE IFS.
Abstract: Study of Supernova Remnant (SNR) demographics and their physical properties (density, temperature, shock velocities) is very important in order to understand their role in galaxies. Many photometric and spectroscopic studies of SNRs have been carried out in our Galaxy but also in extragalactic environments. The most common means for the SNR identification in the optical regime, is the use of the flux ratio of the [S II] (λλ6717, 6731) to Hα (λ6563) emission lines. However, this diagnostic is biased against low excitation SNRs. For this reason, we have developed new diagnostics that combine 2 and 3 emission line ratios along with a Support Vector Machine model, that efficiently differentiate SNRs from HII regions. These diagnostics recover up to 35% of the SNRs that we miss using the traditional diagnostic tool, which is very important in order to obtain more complete samples of SNRs (i.e. SNRs of different physical properties) and consequently to more efficiently explore the feedback processes to the host galaxy. We present the application of these diagnostics on Integral Field Unit (IFU) data of the galaxy NGC 7793. We identify new SNR populations, we construct the distributions of their physical properties and their luminosity functions. Finally, we explore possible correlations between properties of SNRs and those of their environment.