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DTSTAMP:20250108T095323
DTSTART;TZID=America/Detroit:20250409T151000
DTEND;TZID=America/Detroit:20250409T161000
SUMMARY:Lecture / Discussion:MIPSE Seminar | RF Plasma Cathodes and Other Research Activities in the Plasma Propulsion Group at NRL
DESCRIPTION:Abstract:\nThis talk discusses recent work on RF plasma cathodes\, propellant agnostic electron sources for electric propulsion systems that enable new deep space exploration mission architectures such as in-situ resource utilization. We develop the fundamental theory for these devices and demonstrate its effectiveness at determining I-V characteristics and performance. From our measurements and model\, we project thruster performance and discuss the consequences for space exploration. Then we dive into non-ideal behavior that can be exhibited in these cathodes including sheath expansion and mode transitions. The remainder of the discussion will overview other plasma-related research activities in the NRL propulsion group.\n\nAbout the Speaker: \nDr. Marcel Georgin is an Aerospace Engineer at the Naval Research Laboratory in Washington\, D.C. He earned his bachelor’s degree in physics from McGill University in Montreal\, Canada\, and his Ph.D. in applied physics from the University of Michigan where he studied plasma instabilities in electron sources for electric propulsion systems. His research interests are at the intersection of plasma physics and engineering\, with a strong focus on space propulsion. He is currently working on a variety of plasma-related topics\, including propellant agnostic electron sources\, hypersonics environmental simulation\, advanced thermionic cathodes\, and more.\n\nThe seminar will be conducted in person and simulcast via Zoom: https://mipse.umich.edu/seminars_2425.php#winter2025
UID:130711-21866562@events.umich.edu
URL:https://events.umich.edu/event/130711
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:In Person,Michigan Engineering,Physics,Plasma,Propulsion,seminar,Talk
LOCATION:Electrical Engineering and Computer Science Building - 1003
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250331T145415
DTSTART;TZID=America/Detroit:20250409T153000
DTEND;TZID=America/Detroit:20250409T170000
SUMMARY:Workshop / Seminar:Algebraic Geometry Seminar:  Nontautological Cycles on Moduli Spaces of Smooth Curves
DESCRIPTION:The cohomology of the moduli space of stable curves has been widely studied\, but in general\, understanding the full cohomology ring of this space is too much to ask.  Instead\, one generally settles for studying the tautological ring\, a subring of the cohomology that is simultaneously tractable to study and yet rich enough to contain most cohomology classes of geometric interest.  The first known example of an algebraic cohomology class that is *not* tautological was discovered by Graber and Pandharipande\, in work that was later significantly generalized by van Zelm to produce an infinite family of non-tautological classes on the moduli space of stable curves.  A similar study can be undertaken on the moduli space of smooth curves\, but in this case\, almost no non-tautological classes were previously known. I will report on joint work with V. Arena\, S. Canning\, R. Haburcak\, A. Li\, S.C. Mok\, and C. Tamborini (from the 2023 AGNES Summer School)\, in which we produce non-tautological algebraic classes on the moduli space of smooth curves in an infinite family of cases\, including on M_g for all g>15.
UID:131099-21867744@events.umich.edu
URL:https://events.umich.edu/event/131099
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 4096
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250220T224422
DTSTART;TZID=America/Detroit:20250409T160000
DTEND;TZID=America/Detroit:20250409T170000
SUMMARY:Workshop / Seminar:Adaptive Optimal Market Making Strategies with Inventory Liquidation Cost
DESCRIPTION:A novel high-frequency market-making approach in discrete time is proposed that admits closed-form solutions. By taking advantage of demand functions that are linear in the quoted bid and ask spreads with random coefficients\, we model the variability of the partial filling of limit orders posted in a limit order book (LOB). The most important feature of our optimal placement strategy is that it can react or adapt to the behavior of market orders online. Using LOB data\, we train our model and reproduce the anticipated final profit and loss of the optimal strategy on a given testing date using real LOB data. Our adaptive optimal strategies outperform the non-adaptive strategy and those that quote limit orders at a fixed distance from the midprice. We proceed to explore other extensions of the proposed approach.
UID:129317-21862443@events.umich.edu
URL:https://events.umich.edu/event/129317
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1360
CONTACT:
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