Speaker: Temple He
Title: New Magnetic Symmetries in (d+2)-Dimensional QED
Host: John Terning
Room: 432
Abstract:
Previous analyses of asymptotic symmetries in QED have shown that the subleading soft photon theorem implies a Ward identity corresponding to a charge generating divergent large gauge transformations on the asymptotic states at null infinity. In this work, we demonstrate that the subleading soft photon theorem is equivalent to a more general Ward identity. The charge corresponding to this Ward identity can be decomposed into an electric piece and a magnetic piece. The electric piece generates the Ward identity that was previously studied, but the magnetic piece is novel, and implies the existence of an additional asymptotic "magnetic" symmetry in QED.
User:
High-Energy Seminars
Time:
1:30pm - 2:30pm
Description:
Speaker:
Title:
Host:
Room: 432
Abstract:
User:
High-Energy Seminars
Time:
4:00pm - 5:00pm
Description:
Speaker: Felix Kling
Title: MadMiner: Constraining EFTs with Machine Learning
Host: Da Liu
Room: 432
Abstract:
Processes in particle physics are often described by a large number of observables that can carry information on the theory parameters of interest. This proves a challenge for traditional analysis methods, which struggle to extract all of this information. However, recently, a family of new inference techniques combining matrix element information and machine learning has been developed. MadMiner, a Python module wrapping around MadGraph 5 and Pythia 8, automates all steps required for these inference techniques: it supports almost any physics process and model, reducible and irreducible backgrounds, shower effects, detector simulation, and systematic uncertainties, without requiring any approximations on the underlying physics. We demonstrate the use of MadMiner in an example analysis of dimension-six operators.
Description:
Valentine's Day
Description:
Presidents' Day
User:
High-Energy Seminars
Time:
All day event
Send Reminder:
Yes - 0 days 4 hour 0 minutes before start
Description:
Speaker:
Title:
Host:
Room: 432
Abstract:
User:
High-Energy Seminars
Time:
4:10pm - 5:10pm
Description:
Speaker: Surjeet Rajendran
Title: Precision Probes of New Physics with Nuclear and Atomic Techniques
Host: Nemanja Kaloper
Room: 432
Abstract:
The existence of baryons, dark matter and dark energy is proof that there is physics beyond the standard model. But, where is this new physics? Historically, probes of new physics have largely explored particles that are heavy, but are coupled to the standard model with reasonably big interactions. The existence of the dark sector suggests that there might be new particles that are very weakly coupled to the standard model. New experimental techniques are necessary to probe these particles. In this talk, I will discuss three experimental approaches to search for three different kinds of weakly coupled particles: (1) interrogation of crystal defects to search for WIMP dark matter beyond the neutrino floor (2) the use of single molecule magnets to search for light dark matter (3) search for dark sector particles using nuclear gamma cascades.
User:
High-Energy Seminars
Time:
1:30pm - 2:30pm
Send Reminder:
Yes - 0 days 4 hour 0 minutes before start
Description:
Speaker: David Shih
Title: New Approaches to Anomaly Detection at the LHC and Beyond
Host: Da Liu
Room: 432
Abstract:
Deep learning is having a major impact on many aspects of LHC physics. One especially exciting area with many recent developments is that of model-independent searches for new physics. This can be framed as a classic anomaly detection problem in unsupervised machine learning. In this talk, I will give a comprehensive overview of a number of recently proposed methods for anomaly detection motivated by the search for new physics at the LHC. This includes methods based on autoencoders, weak supervision, density estimation and simulation-assisted reweighting. I will also summarize the status of the ongoing "LHC Olympics 2020" anomaly detection data challenge, where many of these techniques are being applied to "black box" datasets by a number of groups from around the world.
Groundhog Day