Name: Argonne Mini-Workshop on Monte Carlo Methods
Start: 2023-05-18T08:00:00-05:00
End: 2023-05-18T17:00:00-05:00
Location: 362

Argonne Mini-Workshop on Monte Carlo Methods

Thursday, 18 May 2023 - 08:00

Monday, 15 May 2023
Tuesday, 16 May 2023
Wednesday, 17 May 2023
Thursday, 18 May 2023
08:30
08:30 - 10:00
Contributions

08:30 Parton Distributions and Inverse Problems in HEP - Timothy Hobbs (Argonne National Laboratory)

09:00 Representative MC Sampling for PDFs - Aurore Courtoy (Instituto de Física, UNAM)

09:30 Monte Carlo Methods and Lattice QCD - Xiaoyong Jin (ANL)
10:00 Coffee
Coffee
10:00 - 10:30
10:30 Faster Monte Carlo via Low Discrepancy Sampling - Fred Hickernell (Illinois Institute of Technology)
Faster Monte Carlo via Low Discrepancy Sampling
- Fred Hickernell (Illinois Institute of Technology)
10:30 - 11:30
Estimating an expectation or integral is important in high energy physics, Bayesian inference, image rendering, quantitative finance, and uncertainty quantification. Monte Carlo type methods are commonly used. The numerical error can be expressed as a product of three quantities: one measuring the deficit in the sampling scheme, a second measuring the roughness of the function defining the expectation or integral, and a third representing the confounding between that function and the sampling deficit. We explain how low discrepancy sampling, also known as the quasi-Monte Carlo method, can substantially improve the efficiency of these calculations. We discuss how to improve efficiency via transformations of the integral. Our data-driven error bounds advise the user when to stop simulating. We illustrate low discrepancy sampling via our QMCPy software library (qmcpy.org).
12:00 Lunch
Lunch
12:00 - 13:30
13:30
13:30 - 15:00
Contributions

13:30 Monte Carlo Methods and Gaussian Processes - Vishwas Rao (Argonne National Laboratory)

14:00 Monte Carlo for Theory and Event Generation in HEP - Joshua Isaacson (FNAL)

14:30 Variational Monte Carlo and Neural-Network Quantum States for Nuclear Simulation - Alessandro Lovato (ANL)
15:00
15:00 - 16:00
Contributions

15:00 Monte Carlo for HEP Experiments - Sergei Chekanov (ANL)

15:15 Open discussion - Timothy Hobbs (Argonne National Laboratory)