The origins of galaxy bimodality Linking mergers starbursts and feedback in ob...
The origins of galaxy bimodality Linking mergers starbursts and feedback in observations and simulations
Understanding how and why galaxies form and evolve is one of the most challenging problems in modern astrophysics. Our own galaxy, the Milky Way, shows order and structure, as do most massive galaxies in our local neighbourhood. Y...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Proyectos interesantes
GalaxyMergers
Galaxy mergers in the era of large surveys
166K€
Cerrado
PID2019-104788GB-I00
DESCODIFICANDO LAS HISTORIAS DE FORMATION EN ESPECTROS DE GA...
24K€
Cerrado
CLEVeR
The CLuster and group Environment as Viewed by eROSITA
694K€
Cerrado
STEMAGE
Towards an unbiased view of the role of stellar mass in gala...
100K€
Cerrado
RYC2018-024750-I
Understanding galaxy evolution through stellar populations a...
309K€
Cerrado
GaiaSpectroSynergy
Exploiting the synergies between Gaia and spectroscopic stel...
158K€
Cerrado
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
Understanding how and why galaxies form and evolve is one of the most challenging problems in modern astrophysics. Our own galaxy, the Milky Way, shows order and structure, as do most massive galaxies in our local neighbourhood. Yet when we look to very distant galaxies they are disordered and chaotic. The leading theory for the origin of this transformation invokes gas-rich mergers, which trigger massive starbursts leading to bulge and supermassive black hole growth. The aim of this project is to provide conclusive observational evidence to confirm or refute this fundamental theory of galaxy evolution.
Considerable quantities of high quality data are now available for both local and distant galaxies; new methodology is urgently required to enable the translation of this data into an improved understanding of galaxy formation. In this project I will lead a team to develop a suite of new techniques to: (1) statistically link galaxy populations traditionally studied in isolation (starbursts, post-starbursts, mergers, remnants); (2) combine information from both the multi-wavelength spectral energy distributions and morphologies of galaxy samples; (3) visualise the information contained in multiple large datasets. My team will compare directly with merger models to interpret the data in terms of the physical processes driving galaxy evolution. The new techniques will provide stringent observational constraints on models, improve robustness of model-data comparison and highlight areas for improvement.
As the only researcher with access to all four of the newest world-leading surveys for galaxy evolution, I am uniquely placed to build an integrated picture of the dominant physical processes that drive galaxy evolution over 3/4 of cosmic time. An ERC grant will allow me to build a team to fully exploit the information provided by all four surveys, through novel analysis techniques and concurrent comparison with models.