Ragosta, Fabio (2021) Exploring the transient Universe in the multi-messenger Astronomy era. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Exploring the transient Universe in the multi-messenger Astronomy era
Creators:
CreatorsEmail
Ragosta, Fabiofabio.ragosta@inaf.it
Date: 13 May 2021
Number of Pages: 232
Institution: Università degli Studi di Napoli Federico II
Department: Fisica
Dottorato: Fisica
Ciclo di dottorato: 33
Coordinatore del Corso di dottorato:
nomeemail
Capozziello, Salvatoresalvatore.capozziello@unina.it
Tutor:
nomeemail
Botticella, Maria TeresaUNSPECIFIED
Covone, GiovanniUNSPECIFIED
Date: 13 May 2021
Number of Pages: 232
Keywords: Supernovae; Multimessenger; Gravitational Waves
Settori scientifico-disciplinari del MIUR: Area 02 - Scienze fisiche > FIS/05 - Astronomia e astrofisica
Date Deposited: 21 May 2021 06:56
Last Modified: 07 Jun 2023 11:03
URI: http://www.fedoa.unina.it/id/eprint/13806

Collection description

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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