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Grant: Discovery Grants Program - Individual

Memorial University of Newfoundland

$24,000.00

Stellar Atmospheres in the era of Big Data

FY 2024-25

Summary
In the coming decade astronomy surveys will monitor the spectra from billions of stars in our Galaxy and beyond. From these spectra, astronomers will characterize the properties of stars, including their surface temperatures, gravities and atomic composition to probe the formation and evolution history of the Galaxy; the evolution and creation of elements in our Universe; and the structure and evolution of stars. But, these big surveys rely on our understanding stellar atmospheres and the physics anchoring those models. In the same way, we employ model stellar atmospheres to probe and characterize high-angular resolution exoplanetary transits and optical interferometric observations of stars that are sensitive to the intensity across the stellar disk. The combination of of big spectral surveys in the next decade, such as the Large Synoptic Survey Telescope (LSST), the Maunakea Spectroscopic Explorer (MSE), and SpecTel, with optical interferometric facilities and with planetary transit missions such as Transiting Exoplanet Survey Satellite (TESS)  will offer novel joint tests of the precise physics of stellar atmospheres. This approach is a novel methodology to bridge two tests of the physics of stellar atmospheres and lead about stars in unprecedented detail. The observations from both methods, spectroscopic and high-angular resolution, rely on models of stellar atmospheres to physically and precisely interpret them. There are currently no open source suites of modelling programs that can probe observations with the high precision. I will take advantage of the abundance of forthcoming measurements by using the state-of-the-art stellar atmospheres code SAtlas to create an open source environment for both fitting stellar spectra from surveys and fitting planet transit and optical interferometric measurements. This allows us to measure fundamental stellar parameters such as mass, radius and temperature along with composition; to more precisely characterize exoplanet atmospheres via transit measurements as function of wavelength; to measure the chemical history of stars across our Galaxy; and probe the cosmology at the local scale. These advancements will allow for dynamic and automated modelling of stellar atmospheres to construct grids across numerous parameters such as stellar surface temperature, mass and radius, and abundance of each element, along with testing additional physics in stellar atmospheres such as stellar convection, rotation, chemical stratification. The astronomy community in Canada has demonstrated leadership in constructing large spectral surveys such as LSST and MSE along with planetary transit observations through the MOST satellite missions and upcoming CASTOR and JWST missions. This work aims to create computational resources for gaining new insights into Galactic Archaeology and for characterizing stellar surfaces and exoplanetary atmospheres.
Program
Discovery Grants Program - Individual
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2020-06017
Name nom
Neilson, Hilding
Department département
Physics and Physical Oceanography - Physics and Physical Oceanography
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2020
Award amount
24000
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
1204
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Space and astronomy
Area of application fr
Sciences spatiales et astronomie
Research subject code
3202
Research subject group en
Astronomy and astrophysics
Research subject group fr
Astronomie et astrophysique
Research subject en
Stellar
Research subject fr
Stellaire
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
Stellar Atmospheres in the era of Big Data
Keywords
stellar atmospheres; radiative transfer; stellar spectra; machine learning; planetary transits; stellar fundamental parameters; optical interferometry
Application summary
In the coming decade astronomy surveys will monitor the spectra from billions of stars in our Galaxy and beyond. From these spectra, astronomers will characterize the properties of stars, including their surface temperatures, gravities and atomic composition to probe the formation and evolution history of the Galaxy; the evolution and creation of elements in our Universe; and the structure and evolution of stars. But, these big surveys rely on our understanding stellar atmospheres and the physics anchoring those models. In the same way, we employ model stellar atmospheres to probe and characterize high-angular resolution exoplanetary transits and optical interferometric observations of stars that are sensitive to the intensity across the stellar disk. The combination of of big spectral surveys in the next decade, such as the Large Synoptic Survey Telescope (LSST), the Maunakea Spectroscopic Explorer (MSE), and SpecTel, with optical interferometric facilities and with planetary transit missions such as Transiting Exoplanet Survey Satellite (TESS)  will offer novel joint tests of the precise physics of stellar atmospheres. This approach is a novel methodology to bridge two tests of the physics of stellar atmospheres and lead about stars in unprecedented detail. The observations from both methods, spectroscopic and high-angular resolution, rely on models of stellar atmospheres to physically and precisely interpret them. There are currently no open source suites of modelling programs that can probe observations with the high precision. I will take advantage of the abundance of forthcoming measurements by using the state-of-the-art stellar atmospheres code SAtlas to create an open source environment for both fitting stellar spectra from surveys and fitting planet transit and optical interferometric measurements. This allows us to measure fundamental stellar parameters such as mass, radius and temperature along with composition; to more precisely characterize exoplanet atmospheres via transit measurements as function of wavelength; to measure the chemical history of stars across our Galaxy; and probe the cosmology at the local scale. These advancements will allow for dynamic and automated modelling of stellar atmospheres to construct grids across numerous parameters such as stellar surface temperature, mass and radius, and abundance of each element, along with testing additional physics in stellar atmospheres such as stellar convection, rotation, chemical stratification. The astronomy community in Canada has demonstrated leadership in constructing large spectral surveys such as LSST and MSE along with planetary transit observations through the MOST satellite missions and upcoming CASTOR and JWST missions. This work aims to create computational resources for gaining new insights into Galactic Archaeology and for characterizing stellar surfaces and exoplanetary atmospheres.