Galaxy Formation

Digital illustration of galaxy formation

The Galaxy Formation group is developing the numerical tools and physical insights necessary to understand how galaxies form and evolve within a cosmological context.

A fully predictive theory of galaxy formation remains one of the great, unsolved problems of astrophysics. Galaxy formation represents the intersection of many branches of physics from cosmology to plasma physics, and involves a vast range of length and timescales. Our goal is to explain a wide range of observations ranging from high redshift quasars down to the smallest local dwarf galaxies.

The group has a broad range of interests and expertise, including star formation and the interstellar medium, stellar feedback, black hole formation, growth, and feedback, the circumgalactic medium, and galaxy clustering on large scales. Group members use a diverse suite of numerical codes, simulation outputs, semi-analytic techniques, and multi-wavelength observations in their research..

We strive to foster a respectful, welcoming, inclusive and supportive environment for all participants in all of our activities. We are strongly committed to mentoring, training and supporting junior scientists.

The group has identified three strategic project areas that we plan to focus on for the next five years:

  • Star formation in Extreme Environments: Current simulations that attempt to explicitly resolve the multi-phase ISM and stellar feedback are typically set up with conditions that are representative of local disk galaxies like our Milky Way, and do not incorporate a cosmological context of inflowing and outflowing material. This project seeks to develop new techniques to simulate star formation and understand how it works in environments very different from our local Solar Neighborhood, exploiting the common physics operating in all of these systems. These environments span the Galactic center to the outskirts of low surface brightness galaxies, superstar clusters to globular clusters, massive dusty starburst galaxies to ultra-faint dwarf galaxies, protocluster galaxies to nearby jellyfish galaxies, and galaxies at cosmic dawn to nearby green peas. We plan to develop new analytic models and new simulation techniques to address these questions, using both idealized/controlled set-ups as well as cosmological initial conditions.
  • Multi-scale models of black hole formation, accretion, and feedback: Supermassive black holes play a key role in regulating galaxy formation, and the puzzle of “What seeds supermassive black holes, and how do they grow?” was one of the key questions identified by the Astro2020 Decadal report. Furthermore, the James Webb Space Telescope has identified a surprisingly large number of accreting SMBH at very early times in the Universe, challenging our current understanding of black hole formation and growth. However, most cosmological galaxy formation simulations currently incorporate crude sub-grid recipes for black hole seeding, growth, and feedback. In this project, we plan to study physical mechanisms for black hole seeding using ultra-high resolution simulations. In addition, we will use zoom-in and hyper-refinement techniques to connect galaxy/ cosmological scales with accretion disk scales. In this way, we will inform the outer boundary conditions for “small scale” (100’s-1000’s of gravitational radii) simulations that include general relativity, radiation, and magneto-hydrodynamics (GRMHD), in collaboration with the CCA SPA group. These simulations will then provide the missing physics-based insights into how mass, magnetic fields, and [angular] momentum are transported around black holes across a vast range of scales. These insights will be used to develop new sub-grid treatments of black hole seeding, accretion, and feedback that will be implemented into a new CCA-led generation of cosmological simulations.
  • The Baryon Flow Cycle: creating a novel interface between theory and observations to decipher fundamental processes in galaxy formation — The Baryon Flow Cycle refers to the cycling of mass, energy, and metals through galactic ecosystems. Over the past decade, it has become a central frontier in the field of galaxy formation. We plan to form a new theoretical-observational consortium that will tackle the challenges of understanding the baryon cycle through a novel synergistic approach bringing together researchers working on multi-scale simulations, synthetic observations, and multi-tracer, multi-wavelength observations of inflows and outflows from ISM to CGM to IGM scales.
  • Many group members also participate in the SMAUG and Learning the Universe Collaborations, described at the links below.

Collaborations

Learning the Universe

This collaboration, directed by Greg Bryan of Columbia University, aims to understand and determine the evolution and initial conditions of our universe, using observations via a Bayesian forward modeling approach.

Projects

Research Highlights

A massive core for a cluster of galaxies at a redshift of 4.3

T. Miller, S. Chapman, M. Aravena, M. Ashby, C. Hayward, J. Vieira, A. Weiß, A. Babul, M. Béthermin, C. Bradford, M. Brodwin, J. Carlstrom, C.-C. Chen, D. Cunningham, C. De Breuck, A. Gonzalez, T. Greve, J. Harnett, Y. Hezaveh, K. Lacaille, K. Litke, J. Ma, M. Malkan, D. Marrone, W. Morningstar, E. Murphy, D. Narayanan, E. Pass, R. Perry, K. Phadke, D. Rennehan, K. Rotermund, J. Simpson, J. Spilker, J. Sreevani, A. Stark, M. Strandet, A. Strom

Massive galaxy clusters are now found as early as 3 billion years after the Big Bang, containing stars that formed…

Nature

News & Announcements

Leadership

Amiel Sternberg, Ph.D.

Portrait photo of Amiel Sternberg

Amiel Sternberg joined the Flatiron Institute as a senior research scientist in 2017. Sternberg is a theoretical astrophysicist working in the fields of galaxy evolution, star formation, cosmic structure, black holes and active galaxies, intergalactic and interstellar medium, astrochemistry and plasma astrophysics, dynamics, spectroscopy and radiative transfer, computational methods and theory of fundamental processes. Sternberg…

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Group Members

Data Products

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