News

2022

Congratulations to Abigail Vieregg

October 27, 2022

Abigail Vieregg received a Moore Foundation Experimental Physics Investigators Initiative Award for instrumentation development to advance the detection of the highest energy neutrinos.


KICP Senior Member Marcela Carena has been named a DOE Office of Science Distinguished Scientist Fellow

October 26, 2022

Dr. Marcela Carena of Fermi National Accelerator Laboratory – Honored “for leadership and influential contributions to particle physics, including novel theoretical ideas and strategies for HEP experiments related to the Higgs boson, dark matter and electroweak baryogenesis, and promoting Latin American participation in DOE-hosted experiments.”


Meet new KICP Fellow: Thomas Callister

October 24, 2022

I work broadly within the realm of gravitational-wave astronomy. Nearly infinitesimal ripples in the fabric of spacetime, gravitational waves are generated by the most cataclysmic events in the Universe, including the explosions of stars and the relativistic collisions of black holes.


Meet new KICP Fellow: Christoph Welling

October 10, 2022

I work on the detection of ultra-high energy neutrinos by measuring the radio signals that are emitted when they interact in glacial ice in Greenland or Antarctica.


Meet new Associate KICP Fellow: Matthew R. Young

September 26, 2022

Ph.D., Astrophysics, University of Toronto, 2021


Meet new Associate KICP Fellow: Zhijie Qu

September 21, 2022

Research: Circumgalactic Medium and Warm-Hot Intergalactic Medium; Quasar Absorption Lines; X-ray and Sunyaev–Zeldovich Effect.


Meet new Associate KICP Fellow: Akhil Premkumar

September 21, 2022

I work on field theoretic aspects of de Sitter (dS) space, and its relation to the physics of inflation.


“Black hole collisions could help us measure how fast the universe is expanding”,  UChicago News, by Louise Lerner

August 16, 2022

In their new paper, Holz and first author Jose María Ezquiaga suggest that they can use our newfound knowledge about the whole population of black holes as a calibration tool.


Meet new KICP Fellow: Leah Jenks

August 11, 2022

Leah is a theoretical physicist whose research lies at the intersections of cosmology, gravitational physics and high-energy physics.


“Carnegie rallies $205 million founding partner investment to accelerate completion of the Giant Magellan Telescope”, Carnegie News

August 3, 2022

A Carnegie-led effort secured $205 million toward the completion of the next-generation Giant Magellan Telescope, which is currently being built at our Las Campanas Observatory in Chile. When completed, the GMT will enable breakthrough astronomy—from revealing the fundamental physics underpinning the cosmos to advancing our ability to search for life on distant worlds.


Abigail Vieregg has been appointed the David N. Schramm Director of the Kavli Institute for Cosmological Physics

August 1, 2022

Abigail Vieregg, Professor in the Department of Physics, Astronomy & Astrophysics, and the EFI, has been appointed the David N. Schramm Director of the Kavli Institute for Cosmological Physics for a term beginning August 1, 2022 through July 31, 2025.


Congratulations to Graduate student Abby Lee

July 14, 2022

Graduate student Abby Lee has been awarded the Future Investigators in NASA Earth and Space Science and Technology (FINESST) grant


Congratulations to Dr. Taylor Hoyt

July 14, 2022

Congratulations to Taylor Hoyt for successfully defending his Ph.D. dissertation on “The Tip of the Red Giant Branch and its Application to Measurements of the Hubble Constant”.


“NASA’s new flagship telescope just released its beautiful first images of the universe”, UChicago News, by Louise Lerner

July 12, 2022

Nebulas, galaxy clusters among first batch of images from James Webb Space Telescope, successor to Hubble


Congratulations to Dr. Dimitrios Tanoglidis

July 12, 2022

Congratulations to Dimitrios Tanoglidis for successfully defending his Ph.D. dissertation on “Shedding light on the Low-Surface-Brightness Universe with Galaxy Surveys and Machine Learning”.