Uroš Seljak

Source: Wikipedia, the free encyclopedia.
Uroš Seljak
MIT
(1995)
Occupations
  • Professor in Physics and Astronomy Departments,
    LBNL Berkeley
Known forE and B-modes, CMBFAST code [2]
Awards
Scientific career
Fields
  • Cosmology
  • Theoretical and observational astrophysics
  • Statistical data analysis in astrophysics
  • Bayesian statistical methodology
  • Machine learning
Thesis Light propagation in a weakly perturbed expanding universe [1]  (1995)
Doctoral advisorEdmund Bertschinger

Uroš Seljak (born 13 May 1966 in Nova Gorica) is a Slovenian cosmologist and a professor of astronomy and physics at University of California, Berkeley.[3] He is particularly well-known for his research in cosmology and approximate Bayesian statistical methods.

Biography

Seljak completed his

PhD
in 1995.

After postdoctoral studies at the

Center for Astrophysics | Harvard & Smithsonian, he held faculty positions at Princeton University, the International Centre for Theoretical Physics in Trieste, Italy, and the University of Zurich, before joining the UC Berkeley physics and astronomy departments in 2008. He holds a joint appointment with the Lawrence Berkeley National Laboratory.[3]

Career

Seljak is a cosmologist who is particularly well-known for his research on

cosmic microwave background radiation,[4][5] galaxy clustering and weak gravitational lensing,[6] and the implications of these observations for the large scale structure of the universe.[7]

In 1997, Seljak predicted the existence of B-modes in CMB polarization that are a tracer of primordial gravitational waves from inflation.[8] Together with Matias Zaldarriaga, he developed the CMBFAST code for CMB Temperature, E and B-mode polarization, and for gravitational lensing effects on CMB.[4]

In 2000, he developed the halo model for dark matter[9][10] and galaxy clustering statistics.[11]

Much of Seljak's recent work has been focused on how to extract fundamental properties of our universe from cosmological observations using analytical methods and numerical simulations. He has developed cosmological generative models of dark matter, stars and cosmic gas distributions, including differentiable FastPM code and its extensions.

Seljak is actively developing methods for accelerated approximate Bayesian methodologies, and applying them to cosmology, astronomy, and other sciences. Examples of this work are the MicroCanonical Hamiltonian and Langevin Monte Carlo and Deterministic Langevin Monte Carlo samplers.

Seljak is developing machine learning methods with applications to cosmology, astronomy, and other sciences. Notable examples include Fourier-based Gaussian processes for analysis of time and/or spatially ordered data, generative models with explicit physics symmetries (translation, rotation), and sliced iterative transport methods for density estimation and sampling.

Honours and awards

Seljak was awarded the 2021 Gruber Prize in Cosmology jointly with Marc Kamionkowski and Matias Zaldarriaga, who together "introduced numerous techniques for the study of the large-scale structure of the universe as well as the properties of its first instant of existence."[12]

Notable students

References

  1. . Retrieved September 18, 2023.
  2. ^ "Overview of CMBFAST". NASA. Retrieved September 15, 2023.
  3. ^ a b c Faculty profile, UC Berkeley physics department, retrieved 27 March 2011.
  4. ^
    S2CID 3015599
    .
  5. ^ Sincell, Mark (30 March 1999). "A New Lens on Dark Matter". Physical Review Focus. Vol. 3..
  6. Science Daily
    , 10 March 2010.
  7. ^ Becker, Markus (20 April 2005), "Raumzeit-Wellen provozieren Forscher", Spiegel (in German).
  8. S2CID 16825580
    .
  9. .
  10. .
  11. .
  12. ^ "2021 Gruber Cosmology Prize". gruber.yale.edu. Retrieved 6 May 2021.
  13. ^ Warner prize recipients Archived 19 November 2010 at the Wayback Machine, AAS, retrieved 27 March 2011.
  14. ^ "Commons:Wiki Science Competition 2019/Winners - Wikimedia Commons".
  15. ^ "Lab Cosmologist Wins Science Photo Competition". Elements Archive. July 31, 2020. Retrieved August 15, 2023.