Argonne Mini-Workshop on Monte Carlo Methods

Contribution List

3. Parton Distributions and Inverse Problems in HEP

Timothy Hobbs (Argonne National Laboratory)

18/05/2023, 08:30

Morning Session

4. Representative MC Sampling for PDFs

Aurore Courtoy (Instituto de Física, UNAM)

18/05/2023, 09:00

Morning Session

5. Monte Carlo Methods and Lattice QCD

Xiaoyong Jin (ANL)

18/05/2023, 09:30

Morning Session

1. Faster Monte Carlo via Low Discrepancy Sampling

Prof. Fred Hickernell (Illinois Institute of Technology)

18/05/2023, 10:30

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...

6. Monte Carlo Methods and Gaussian Processes

Dr Vishwas Rao (Argonne National Laboratory)

18/05/2023, 13:30

Afternoon Session

7. Monte Carlo for Theory and Event Generation in HEP

Joshua Isaacson (FNAL)

18/05/2023, 14:00

Afternoon Session

8. Variational Monte Carlo and Neural-Network Quantum States for Nuclear Simulation

Alessandro Lovato (ANL)

18/05/2023, 14:30

Afternoon Session

9. Monte Carlo for HEP Experiments

Sergei Chekanov (ANL)

18/05/2023, 15:00

Discussion

10. Open discussion

Dr Timothy Hobbs (Argonne National Laboratory)

18/05/2023, 15:15

Discussion

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