Format results

Talk

Machine Learning Lecture
Damian Pope Perimeter Institute for Theoretical Physics


Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics


Talk


Talk

Dark Matter and Particle Physics
Luna Zagorac Perimeter Institute for Theoretical Physics


Cosmology

Matthew Johnson York University

Jessica Muir Perimeter Institute for Theoretical Physics





Talk

Looking for QuantumClassical Gaps in Causal Structures
Marina Maciel Ansanelli Perimeter Institute for Theoretical Physics

Geometry of Process Matrices
Fionnuala Ni Chuireain Institute of Photonic Sciences (ICFO)

Improving 3D Codes under Biased Noise
Eric Huang University of Maryland, College Park

General Features of the Thermalization of Particle Detectors and the Unruh Effect.
Tales Rick Perche Perimeter Institute for Theoretical Physics


Illuminating the pairinstability supernova mass gap with superkilonovae
Aman Agarwal University of Greifswald

Reflecting scalar fields in numerical relativity
Conner Dailey Perimeter Institute for Theoretical Physics



Talk

Welcome and Opening Remarks

Matthew Johnson York University

ChengJu Lin University of Maryland, College Park


TsungCheng (Peter) Lu
TsungCheng Lu (Peter) Perimeter Institute for Theoretical Physics

Roland Bittleson
Roland Bittleston Perimeter Institute for Theoretical Physics




Suvodip Mukherjee
Suvodip Mukherjee Tata Institute of Fundamental Research (TIFR)



Talk

Welcome and Opening Remarks
Anna Heffernan University of the Balearic Islands

Self force review
Maarten van de Meent Max Planck Institute for Gravitational Physics  Albert Einstein Institute (AEI)

Discontinuous collocation methods and selfforce applications
Charalampos Markakis Queen Mary  University of London (QMUL)

Conformal numerical method for self force applications in the time domain
Lidia Joana Gomes Da Silva Queen Mary  University of London (QMUL)

Kerr selfforce via elliptic PDEs: Background and theory (part 1)
Nami Nishimura State University of New York (SUNY)

Kerr selfforce via elliptic PDEs: Numerical methods (part 2)
Thomas Osburn State University of New York (SUNY)

A multimode timedomain surrogate model for gravitational wave signals from comparable to extreme massratio black hole binaries
Tousif Islam University of Massachusetts Dartmouth

Fast SelfForced Inspirals into a Rotating Black Hole
Philip Lynch National University of Ireland


Talk

PSI 2019/2020  Machine Learning for ManyBody Physics  Lecture 2
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

PSI 2019/2020  Machine Learning for ManyBody Physics  Lecture 1
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics


Talk

PSI 2019/2020  Quantum Matter Part 2  Lecture 2
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 2  Lecture 1
Alioscia Hamma University of Naples Federico II


Talk

PSI 2019/2020  Computational Physics  Lecture 15
Erik Schnetter Perimeter Institute for Theoretical Physics

PSI 2019/2020  Computational Physics  Lecture 14
Erik Schnetter Perimeter Institute for Theoretical Physics

PSI 2019/2020  Computational Physics  Lecture 13
Erik Schnetter Perimeter Institute for Theoretical Physics

PSI 2019/2020  Computational Physics  Lecture 12
Erik Schnetter Perimeter Institute for Theoretical Physics

PSI 2019/2020  Computational Physics  Lecture 10
Erik Schnetter Perimeter Institute for Theoretical Physics

PSI 2019/2020  Computational Physics  Lecture 8
Erik Schnetter Perimeter Institute for Theoretical Physics

PSI 2019/2020  Computational Physics  Lecture 7
Erik Schnetter Perimeter Institute for Theoretical Physics

PSI 2019/2020  Computational Physics  Lecture 6
Erik Schnetter Perimeter Institute for Theoretical Physics


Talk

PSI 2019/2020  Quantum Matter Part 1  Lecture 18
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 17
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 16
Alioscia Hamma University of Naples Federico II
PIRSA:20010042 
PSI 2019/2020  Quantum Matter Part 1  Lecture 15
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 14
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 13
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 12
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 11
Alioscia Hamma University of Naples Federico II


Talk

The Cohomology of Groups (JohnsonFreyd/Guo)  Lecture 11

Theo JohnsonFreyd Dalhousie University

Meng Guo University of Illinois UrbanaChampaign


The Cohomology of Groups (JohnsonFreyd/Guo)  Lecture 10

Meng Guo University of Illinois UrbanaChampaign

Theo JohnsonFreyd Dalhousie University


The Cohomology of Groups (JohnsonFreyd/Guo)  Lecture 9

Meng Guo University of Illinois UrbanaChampaign

Theo JohnsonFreyd Dalhousie University


The Cohomology of Groups (JohnsonFreyd/Guo)  Lecture 8

Meng Guo University of Illinois UrbanaChampaign

Theo JohnsonFreyd Dalhousie University


The Cohomology of Groups (JohnsonFreyd/Guo)  Lecture 7

Meng Guo University of Illinois UrbanaChampaign

Theo JohnsonFreyd Dalhousie University


The Cohomology of Groups (JohnsonFreyd/Guo)  Lecture 6

Meng Guo University of Illinois UrbanaChampaign

Theo JohnsonFreyd Dalhousie University


The Cohomology of Groups (JohnsonFreyd/Guo)  Lecture 5

Meng Guo University of Illinois UrbanaChampaign

Theo JohnsonFreyd Dalhousie University


The Cohomology of Groups (JohnsonFreyd/Guo)  Lecture 4

Meng Guo University of Illinois UrbanaChampaign

Theo JohnsonFreyd Dalhousie University



Talk


Machine Learning 2023/24
Machine learning has become a very valuable toolbox for scientists including physicists. In this course, we will learn the basics of machine learning with an emphasis on applications for manybody physics. At the end of this course, you will be equipped with the necessary and preliminary tools for starting your own machine learning projects. 



Postdoc Welcome 2021
As COVID19 continues to impose gathering restrictions, the “Postdoc Welcome 2021” will continue as a virtual event this year and will be hosted on Thursday, October 28 and Friday, October 29. Each new postdoc will be given 5 minutes to introduce themselves to the PI Community. The time will be used to tell us a little bit about themselves and to showcase their current research. These presentations are very casual and should not be misconstrued as formal talks. Some discussion will follow the presentations, whereby current PI Residents may have the opportunity to ask questions.
There will be two 60minute sessions:
Thursday, October 28: 12:00 – 1:00 pm
Friday, October 29: 11:30 – 12:30 pmAll PI Residents are encouraged to attend. Registration will remain open until 9:00 am on Thursday, October 28.
Please register for the Postdoc Welcome via the event website: https://events.perimeterinstitute.ca/event/9/overview

PSI 2019/2020  Machine Learning for ManyBody Physics
PSI 2019/2020  Machine Learning for ManyBody Physics 
PSI 2019/2020  Quantum Matter (Part 2)
PSI 2019/2020  Quantum Matter (Part 2) 
PSI 2019/2020  Computational Physics
PSI 2019/2020  Computational Physics 
PSI 2019/2020  Quantum Matter Part 1
PSI 2019/2020  Quantum Matter Part 1 
The Cohomology of Groups (JohnsonFreyd/Guo)
The Cohomology of Groups (JohnsonFreyd/Guo) 
Career Trajectories Day
What can you do with a Physics degree? Plenty although the reality is that most people being trained in physics at the undergraduate graduate or even postdoctoral levels aren't aware of the broad spectrum of opportunities available to them. The problem solving skills necessary to succeed in physics are sought after in a wide range of technology financial and industrial sectors. This day will bring together current students and postdocs in theoretical physics with former students who have found great success in a wide range of different areas from startups to big companies finance and even bestselling novels. Many of them were affiliated with Perimeter Institute and chose their career paths over opportunities in academia. Through a combination of talks and panel sessions this day will showcase the many career possibilities available to young physicists steps they can take to explore these options and how to avoid the inevitable pitfalls. Lunch will be provided and there will ample opportunities to ask questions and network.