Ragosta, Fabio (2021) Exploring the transient Universe in the multi-messenger Astronomy era. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Exploring the transient Universe in the multi-messenger Astronomy era |
| Autori: | Autore Email Ragosta, Fabio fabio.ragosta@inaf.it |
| Data: | 13 Maggio 2021 |
| Numero di pagine: | 232 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Fisica |
| Dottorato: | Fisica |
| Ciclo di dottorato: | 33 |
| Coordinatore del Corso di dottorato: | nome email Capozziello, Salvatore salvatore.capozziello@unina.it |
| Tutor: | nome email Botticella, Maria Teresa [non definito] Covone, Giovanni [non definito] |
| Data: | 13 Maggio 2021 |
| Numero di pagine: | 232 |
| Parole chiave: | Supernovae; Multimessenger; Gravitational Waves |
| Settori scientifico-disciplinari del MIUR: | Area 02 - Scienze fisiche > FIS/05 - Astronomia e astrofisica |
| Depositato il: | 21 Mag 2021 06:56 |
| Ultima modifica: | 07 Giu 2023 11:03 |
| URI: | http://www.fedoa.unina.it/id/eprint/13806 |
Abstract
Supernovae (SNe) can be studied through the analysis of the different messengers they produce (GWs, neutrinos, high energy particles and radiation in the optical regime). In the last decade new instruments were developed to detect neutrinos, GWs and high energy cosmic rays: IceCube (Michaely and Perets, 2018); CTA telescope (Acero et al., 2017); LIGO and VIRGO (Abbott et al., 2018). Thus, the analysis of the signal from neutrinos, relativistic cosmic particles and GW can be an important piece of the puzzle in our understanding the SN physics. Within the presented scientific framework I analysed the SUDARE survey data, this is to acquire a consolidated and well defined method for the SN search and to study the detected SN sample using a statistical approach (I measured the SN rate as a function of cosmic time and parent galaxy parameters: mass, color and sSFR) in order to constrain SN progenitor models. The results of SUDARE survey data analysis open a discussion on how to improve the SN search with next generation of synoptic surveys; thus, I simulate a SN search as it would happen within LSST to analyse how the SN statistics and classification will be improved. Moreover, I exploit the method for SN search to study the impact of the new synoptic surveys in the detection of unknown transients, and eventually to study transients discovered using different messengers, to detect their optical counterpart.
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