Sapori, Matteo
(2024)
Tracing Starbirth in the Shadows
Exploring Radio-selected NIR Dark Galaxies to study the
Star Formation Rate Density.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Astrophysics and cosmology [LM-DM270]
Documenti full-text disponibili:
![[img]](http://amslaurea.unibo.it/style/images/fileicons/application_pdf.png) |
Documento PDF (Thesis)
Disponibile con Licenza: Salvo eventuali più ampie autorizzazioni dell'autore, la tesi può essere liberamente consultata e può essere effettuato il salvataggio e la stampa di una copia per fini strettamente personali di studio, di ricerca e di insegnamento, con espresso divieto di qualunque utilizzo direttamente o indirettamente commerciale. Ogni altro diritto sul materiale è riservato
Download (11MB)
|
Abstract
The exploration of galaxy formation and evolution is a pivotal area in astrophysics, with the star formation rate density (SFRD) being a critical measure. Traditional optical and UV surveys for studying SFRD are now questioned for potentially overlooking dust-obscured galaxies, which could play a significant role in understanding galaxy formation. This thesis focuses on identifying dust-obscured star-forming galaxies (DSFGs) in the J1030 field using a selection criterion based on radio emissions as a dust-unaffected star formation rate (SFR) indicator. It introduces an enhanced version of PhoEBO, a pipeline for deblending NIR-Dark galaxies in MIR-to-FIR maps, and employs a new technique for deblending in sub/mm bands. Characterization of these galaxies through SED fitting reveals a population of DSFGs extending from z=0 to z=2-3 (the so-called 'cosmic noon'), with some reaching z>5, and highlights their contribution to the SFRD. This contribution is estimated between 3% at z=2 and 13% at z=3, but these values are only lower limits, underscoring the potential underestimation by optical and UV surveys of a significant galaxy population. The study also suggests DSFGs as possible progenitors of massive quiescent galaxies at z=2 given their number densities, challenging current simulations and enhancing our understanding of galaxy evolution.
Abstract
The exploration of galaxy formation and evolution is a pivotal area in astrophysics, with the star formation rate density (SFRD) being a critical measure. Traditional optical and UV surveys for studying SFRD are now questioned for potentially overlooking dust-obscured galaxies, which could play a significant role in understanding galaxy formation. This thesis focuses on identifying dust-obscured star-forming galaxies (DSFGs) in the J1030 field using a selection criterion based on radio emissions as a dust-unaffected star formation rate (SFR) indicator. It introduces an enhanced version of PhoEBO, a pipeline for deblending NIR-Dark galaxies in MIR-to-FIR maps, and employs a new technique for deblending in sub/mm bands. Characterization of these galaxies through SED fitting reveals a population of DSFGs extending from z=0 to z=2-3 (the so-called 'cosmic noon'), with some reaching z>5, and highlights their contribution to the SFRD. This contribution is estimated between 3% at z=2 and 13% at z=3, but these values are only lower limits, underscoring the potential underestimation by optical and UV surveys of a significant galaxy population. The study also suggests DSFGs as possible progenitors of massive quiescent galaxies at z=2 given their number densities, challenging current simulations and enhancing our understanding of galaxy evolution.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Sapori, Matteo
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
galaxies evolution galaxies formation star formation galaxies
Data di discussione della Tesi
15 Marzo 2024
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Sapori, Matteo
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
galaxies evolution galaxies formation star formation galaxies
Data di discussione della Tesi
15 Marzo 2024
URI
Statistica sui download
Gestione del documento: