Grant: Discovery Grants Program - Individual
York University
$46,000.00
Modelling high redshift structure formation and reionization
FY 2024-25
Summary
Galaxies are vast self-gravitating systems of planets, stars, gas, and dark matter, making them the basic building blocks of structure in the Universe. Therefore, understanding the formation and evolution of galaxies is crucial to discerning the history of the Universe and our place within it. While the Hubble telescope has provided us with a wealth of information about present-day galaxies, observing the initial stages of galaxy formation has been difficult. This paucity of information deprives us of a complete evolutionary picture of the cosmic structure formation process. These first galaxies formed within a billion years after the Big Bang, and they play an essential evolutionary role in bridging the gap between the smooth matter distribution at early times and the complex galaxies observed today. In addition, these primitive galaxies impact their surroundings by emitting high-energy radiation that causes a phase transition of the Universe's cold, neutral gas by heating and ionizing it. Therefore, answering several outstanding questions about this epoch is essential, such as when did these first galaxies form? What processes are responsible for regulating their properties? Which galaxies are responsible for driving reionization? And can we use these primitive galaxies to learn about the nature of dark matter and dark energy?
Fortunately, the recent advent of instruments such as JWST has led to a flood of observational data that will usher the study of primitive galaxies into a new high-precision era. Therefore, theoretical and numerical models must achieve sufficient accuracy and physical fidelity to interpret these exciting new results meaningfully. The proposed research aims to establish novel numerical models that will efficiently leverage current and upcoming observations to constrain the physics of high redshift galaxy formation and evolution. The primary goal is to develop predictive galaxy formation models coupled with accurate radiation hydrodynamics to study reionization and structure formation within the first billion years after the Big Bang. The proposed research will tackle the multi-scale nature of these processes by coupling large-volume simulations designed to study the large-scale statistical properties of the universe with very high-resolution simulations that zoom-in on single galaxies, which are ideal for predicting their resolved properties. Even higher-resolution simulations will be used to improve the predictive power of the sub-resolution models used in the larger-scale simulations. This hierarchy of predictive numerical simulations and accurate observational forecasts promises important and transformative changes in our understanding of the primitive Universe, which will help us get closer to the goal of piecing together a complete evolutionary picture of the cosmic structure formation process.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2024-06222
Name nom
Kannan, Rahul
Department département
Physics and Astronomy
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
46000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1505
Committee name en
Physics
Committee name fr
Physique
Area of application code
1202
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Physical sciences
Area of application fr
Sciences physiques
Research subject code
3204
Research subject group en
Astronomy and astrophysics
Research subject group fr
Astronomie et astrophysique
Research subject en
Extra galactic and cosmology
Research subject fr
Extra-galactique et cosmologie
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Modelling high redshift structure formation and reionization
Keywords
astrophysics; cosmological structure formation; cosmic dawn; epoch of reionization; feedback processes; interstellar medium; intergalactic medium; numerical simulations; high performance computing; radiation hydrodynamics
Application summary
Galaxies are vast self-gravitating systems of planets, stars, gas, and dark matter, making them the basic building blocks of structure in the Universe. Therefore, understanding the formation and evolution of galaxies is crucial to discerning the history of the Universe and our place within it. While the Hubble telescope has provided us with a wealth of information about present-day galaxies, observing the initial stages of galaxy formation has been difficult. This paucity of information deprives us of a complete evolutionary picture of the cosmic structure formation process. These first galaxies formed within a billion years after the Big Bang, and they play an essential evolutionary role in bridging the gap between the smooth matter distribution at early times and the complex galaxies observed today. In addition, these primitive galaxies impact their surroundings by emitting high-energy radiation that causes a phase transition of the Universe's cold, neutral gas by heating and ionizing it. Therefore, answering several outstanding questions about this epoch is essential, such as when did these first galaxies form? What processes are responsible for regulating their properties? Which galaxies are responsible for driving reionization? And can we use these primitive galaxies to learn about the nature of dark matter and dark energy?
Fortunately, the recent advent of instruments such as JWST has led to a flood of observational data that will usher the study of primitive galaxies into a new high-precision era. Therefore, theoretical and numerical models must achieve sufficient accuracy and physical fidelity to interpret these exciting new results meaningfully. The proposed research aims to establish novel numerical models that will efficiently leverage current and upcoming observations to constrain the physics of high redshift galaxy formation and evolution. The primary goal is to develop predictive galaxy formation models coupled with accurate radiation hydrodynamics to study reionization and structure formation within the first billion years after the Big Bang. The proposed research will tackle the multi-scale nature of these processes by coupling large-volume simulations designed to study the large-scale statistical properties of the universe with very high-resolution simulations that zoom-in on single galaxies, which are ideal for predicting their resolved properties. Even higher-resolution simulations will be used to improve the predictive power of the sub-resolution models used in the larger-scale simulations. This hierarchy of predictive numerical simulations and accurate observational forecasts promises important and transformative changes in our understanding of the primitive Universe, which will help us get closer to the goal of piecing together a complete evolutionary picture of the cosmic structure formation process.