2022

KICP workshop: "The quest for precision gravitational wave cosmology"
Through September 23, 2022 Chicago
This workshop will bring together experts in the field of GW cosmology to discuss and prepare for the next challenges in our quest for precision GW cosmology. The workshop will be dynamic and discussion driven. Ample time for collaboration and self-organized discussions will be provided.

South Side Science Festival
11:00 am–6:00 pm UChicago Science Quads
Come to the South Side Science Festival, where science is for everyone!
The Festival will take place Saturday, Sept. 17th, 11:00 a.m. - 6:00 p.m. in the UChicago Science Quads (5734 S Ellis Ave, Chicago, IL 60637)
PhD Thesis Defense: Joshua Sobrin
11:00 am–12:00 pm ERC 401
Joshua Sobrin, “The SPT-3G Receiver and the First Galaxy Cluster Catalog from the SPT-3G Survey”

CMB-S4 collaboration meeting
Through August 19, 2022 Chicago
CMB-S4 is the next-generation ground-based cosmic microwave background experiment.

Summer School on CMB Detectors and Instrumentation
Through August 12, 2022 ERC 401
This 1-week “hands-on” summer school is designed to provide the participants with working knowledge of the detectors and instrumentation used to detect the tiny temperature and polarization anisotropy of the cosmic microwave background (CMB).

2022 LSST DESC Collaboration Meeting
Through August 5, 2022 Chicago
August 2022 LSST DESC Collaboration Meeting | Aug 1-5, 2022 | Chicago

PhD Thesis Defense: Taylor Hoyt
1:30–2:30 pm ERC 401
Taylor Hoyt “The Tip of the Red Giant Branch and its Application to Measurements of the Hubble Constant”

Open Group seminar: Yuan-Sen Ting (Australian National University)
12:00–1:00 pm ERC 401
Yuan-Sen Ting (Australian National University) “On Modelling Complex Systems in Astronomy”

PhD Thesis Defense: Meng-Xiang Lin
1:30–2:30 pm ERC 401
Meng-Xiang Lin “Seeking Solutions for the Hubble Tension”

PhD Thesis Defense: Dimitrios Tanoglidis
11:00 am–12:00 pm ERC 401
Dimitrios Tanoglidis “Shedding light on the Low-Surface-Brightness Universe with Galaxy Surveys and Machine Learning”