Generalized Symmetries and Anomalies of 3d N=4 SCFTs
Bhardwaj, L Bullimore, M Ferrari, A Schafer-Nameki, S (05 Jan 2023)
Generalized Toric Polygons, T-branes, and 5d SCFTs
Bourget, A Collinucci, A Schafer-Nameki, S (12 Jan 2023)
Mon, 20 Feb 2023
13:00
L1

Generalized Toric Polygons, T-branes, and 5d SCFTs

Antoine Bourget
(ENS/Saclay)
Abstract

5d Superconformal Field Theories (SCFTs) are intrinsically strongly-coupled UV fixed points, whose realization hinges on string theoretic methods: they can be constructed by compactifying M-theory on local Calabi-Yau threefold singularities or alternatively from the world-volume of 5-brane-webs in type IIB string theory. There is a correspondence between 5-brane-webs and toric Calabi-Yau threefolds, however this breaks down when multiple 5-branes are allowed to end on a single 7-brane. In this talk, we extend this connection and provide a geometric realization of brane configurations including 7-branes. Along the way, we also review techniques developed in the past few years to describe the Higgs branch of these 5d SCFTs, including magnetic quivers and Hasse diagram for symplectic singularities. 

Estimates of pandemic excess mortality in India based on civil registration data
Banaji, M Gupta, A PLoS Global Public Health volume 2 issue 12 (09 Dec 2022)
The impact of cross-reactive immunity on the emergence of SARS-CoV-2 variants
Thompson, R Southall, E Daon, Y Lovell-Read, F Iwami, S Thompson, C Obolski, U Frontiers in Immunology volume 13 (11 Jan 2023)
A practical guide to mathematical methods for estimating infectious disease outbreak risks
Southall, E Ogi-Gittins, Z Kaye, A Hart, W Lovell-Read, F Thompson, R Journal of Theoretical Biology volume 562 (20 Jan 2023)
Monolithic multigrid for implicit Runge-Kutta discretizations of incompressible fluid flow
Abu-Labdeh, R MacLachlan, S Farrell, P Journal of Computational Physics volume 478 (26 Jan 2023)
Using ‘sentinel’ plants to improve early detection of invasive plant pathogens
Lovell-Read, F Parnell, S Cunniffe, N Thompson, R PLoS Computational Biology volume 19 issue 2 (02 Feb 2023)
Tue, 07 Feb 2023
12:30
C3

Studying occupational mobility using online resume data

Rohit Sahasrabuddhe
Abstract

Data sets of self-reported online resumes are a valuable tool to understand workers' career trajectories and how workers may adapt to the changing demands of employers. However, the sample of workers that choose to upload their resumes online may not be representative of a nation's workforce. To understand the advantages and limitations of these datasets, we analyze a data set of more than 1 Million online resumes and compare the findings with a administrative data from the Current Population Survey (CPS).
 

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