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DTSTART;TZID=America/Chicago:20251205T130000
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DTSTAMP:20260611T212903
CREATED:20251201T200607Z
LAST-MODIFIED:20251201T200607Z
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SUMMARY:CGCA Seminar - Dr. Logan Prust
DESCRIPTION:Frame-Dragging Reveals Central Engine of a Superluminous Supernova\nDr. Logan Prust\nCenter for Computational Astrophysics – Simons Foundation \nType I superluminous supernovae (SLSNe-I) are an order of magnitude brighter than standard supernovae\, with the internal power source for their luminosity still unknown. The central engines of SLSNe-I are hypothesized to be magnetars\, but many SLSNe-I light curves exhibit multiple bumps or peaks that are unexplained by the standard magnetar model. Systematic surveys of the limited sample of SLSNe-I light curves find no compelling evidence favoring either scenario\, leaving both the nature of the light-curve fluctuations and the applicability of the magnetar model unresolved. In this talk\, I report high-cadence multiband observations of an SLSN-I with clear “chirped” light-curve bumps that can be directly linked to the properties of the magnetar central engine. Our observations are consistent with a tilted\, infalling accretion disk undergoing Lense-Thirring precession around a magnetar centrally located within the expanding supernova ejecta. Our model demonstrates that the overall light curve and bump frequency independently and self-consistently constrain the spin period and magnetic field strength of the magnetar. Our results provide the first observational evidence of frame-dragging in the environment of a magnetar and confirm the magnetar spin-down model as an explanation for the extreme luminosity observed in SLSNe-I.
URL:https://uwm.edu/physics/event/cgca-seminar-dr-logan-prust/
LOCATION:Kenwood IRC 2175\, Milwaukee\, WI\, 53211\, United States
CATEGORIES:CGCA Seminars
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DTSTART;TZID=America/Chicago:20251205T153000
DTEND;TZID=America/Chicago:20251205T170000
DTSTAMP:20260611T212903
CREATED:20250922T163020Z
LAST-MODIFIED:20251201T162156Z
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SUMMARY:Physics Colloquium - Dr. Qiuyan Chen
DESCRIPTION:Effect of Phosphorylation Barcodes on Arrestin Binding to a Chemokine Receptor\nDr. Qiuyan Chen\nAssistant Professor of Biochemistry & Molecular Biology\nIndiana University School of Medicine \nCells often fine-tune their responses to signals through chemical tags called phosphorylation ‘barcodes’ placed on receptors at the cell surface. Different G-protein coupled receptor (GPCR) kinases (GRKs) add these barcodes at different sites\, but how these patterns influence arrestins — key proteins that control receptor signaling and trafficking — has been unclear. \nIn this study\, we developed a new molecular tool (Fab7) that helps visualize how arrestin2 and arrestin3 interact with a chemokine receptor called ACKR3 when tagged by either GRK2 or GRK5. We found that GRK2 creates more flexible receptor–arrestin assemblies\, whereas GRK5 produces more stable ones. Surprisingly\, the arrestins interacted more with the surrounding membrane-like environment than with the usual docking pocket of the receptor\, and arrestin3 was more dynamic due to a missing membrane anchoring feature. These findings show that both the “barcode pattern” and the arrestin subtype can shape how GPCRs are regulated\, which may help explain differences in cellular outcomes such as how efficiently ACKR3 clears chemokines.
URL:https://uwm.edu/physics/event/physics-colloquium-dr-qiuyan-chen/
LOCATION:Chemistry 108\, 2050 E Kenwood Blvd\, Milwaukee\, WI\, 53201\, United States
CATEGORIES:Physics Colloquia
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DTSTART;TZID=America/Chicago:20251206T130000
DTEND;TZID=America/Chicago:20251206T150000
DTSTAMP:20260611T212903
CREATED:20250925T155951Z
LAST-MODIFIED:20250925T182810Z
UID:10435370-1765026000-1765033200@uwm.edu
SUMMARY:Coffeeshop Astrophysics - What You Probably Don't Know About AI
DESCRIPTION:What You Probably Don’t Know About AI\nSpeakers: Ronan Humphrey\, Adam Opperman\, Pratyusava Baral \nOver the last century\, computing in science has changed from human computers doing calculations by hand to supercomputers that can perform over 1018 (that’s 1\,000\,000\,000\,000\,000\,000!) operations per second. This exponential growth in computing power has enabled the development of sophisticated machine learning algorithms (often referred to as artificial intelligence) capable of analyzing data\, recognizing patterns\, and making predictions in ways that were unimaginable just a few decades ago. But what even is AI\, and how do scientists utilize these evolving technologies? From computing history\, to modern environmental and ethical concerns\, join us to learn “What You Probably Don’t Know About AI”! \nMore information is available on the Coffeeshop Astrophysics website.
URL:https://uwm.edu/physics/event/coffeeshop-astrophysics-what-you-probably-dont-know-about-ai/
LOCATION:Anodyne Coffee Shop\, 224 W Bruce Street\, Milwaukee\, WI\, United States
CATEGORIES:Public Event
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