Nacciarriti, Riccardo
(2022)
The molecular gas content of star-forming galaxies in the ALPINE fields.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Astrofisica e cosmologia [LM-DM270], Documento full-text non disponibile
Il full-text non è disponibile per scelta dell'autore.
(
Contatta l'autore)
Abstract
In this thesis, I aim to study the evolution with redshift of the gas mass fraction of a sample of 53 sources (from z ∼ 0.5 to z > 5) serendipitously detected in ALMA band 7 as part of the ALMA Large Program to INvestigate C II at Early Times (ALPINE).
First, I used SED-fitting software CIGALE, which is able to implement energy balancing between the optical and the far infrared part, to produce a best-fit template of my sources and to have an estimate of some physical properties, such as the star formation rate (SFR), the total infrared luminosity and the total stellar mass.
Then, using the tight correlation found by Scoville et al. (2014) between the ISM molecular gas mass and the rest-frame 850 μm luminosity, I used the latter, extrapolating it from the best-fit template using a code that I wrote in Python, as a tracer for the molecular gas.
For my sample, I then derived the most important physical properties, such as molecular gas mass, gas mass fractions, specific star formation rate and depletion timescales, which allowed me to better categorize them and find them a place within the evolutionary history of the Universe.
I also fitted our sources, via another code I wrote again in Python, with a general modified blackbody (MBB) model taken from the literature (Gilli et al. (2014), D’Amato et al. (2020)) to have a direct method of comparison with similar galaxies.
What is evident at the end of the paper is that the methods used to derive the physical quantities of the sources are consistent with each other, and these in turn are in good agreement with what is found in the literature.
Abstract
In this thesis, I aim to study the evolution with redshift of the gas mass fraction of a sample of 53 sources (from z ∼ 0.5 to z > 5) serendipitously detected in ALMA band 7 as part of the ALMA Large Program to INvestigate C II at Early Times (ALPINE).
First, I used SED-fitting software CIGALE, which is able to implement energy balancing between the optical and the far infrared part, to produce a best-fit template of my sources and to have an estimate of some physical properties, such as the star formation rate (SFR), the total infrared luminosity and the total stellar mass.
Then, using the tight correlation found by Scoville et al. (2014) between the ISM molecular gas mass and the rest-frame 850 μm luminosity, I used the latter, extrapolating it from the best-fit template using a code that I wrote in Python, as a tracer for the molecular gas.
For my sample, I then derived the most important physical properties, such as molecular gas mass, gas mass fractions, specific star formation rate and depletion timescales, which allowed me to better categorize them and find them a place within the evolutionary history of the Universe.
I also fitted our sources, via another code I wrote again in Python, with a general modified blackbody (MBB) model taken from the literature (Gilli et al. (2014), D’Amato et al. (2020)) to have a direct method of comparison with similar galaxies.
What is evident at the end of the paper is that the methods used to derive the physical quantities of the sources are consistent with each other, and these in turn are in good agreement with what is found in the literature.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Nacciarriti, Riccardo
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Astrophysics,SED,SED-fitting,FIR,ALMA,ALPINE,[C II],Modified Black Body,SFR,SFH,SFRD,Madau plot,Main sequence,Deplition timescale,Molecular gas fraction,Galaxies,Dusty Galaxies,High-redshift,Python,CO luminosity,Dust mass,CIGALE,Templates,Infrared luminosity,Stellar mass,Star Formation Rate,Star-forming galxies,AGN,C-158 micron
Data di discussione della Tesi
28 Ottobre 2022
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Nacciarriti, Riccardo
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Astrophysics,SED,SED-fitting,FIR,ALMA,ALPINE,[C II],Modified Black Body,SFR,SFH,SFRD,Madau plot,Main sequence,Deplition timescale,Molecular gas fraction,Galaxies,Dusty Galaxies,High-redshift,Python,CO luminosity,Dust mass,CIGALE,Templates,Infrared luminosity,Stellar mass,Star Formation Rate,Star-forming galxies,AGN,C-158 micron
Data di discussione della Tesi
28 Ottobre 2022
URI
Gestione del documento: