Information and Statistics in Nuclear Experiment and Theory (ISNET 8)

Session

14 Dec 2021, 08:45

1300 Auditorium or via ZOOM https://msu.zoom.us/j/95027389061 (NSCL/FRIB)

Conveners

ISNET: 1A (Drischler, Bhattacharya, Giuliani)

• Frederi Viens (MSU)

ISNET: 1B (Mak, Liyanage, Soltz, Everett)

• Witold Nazarewicz ()

ISNET: 1C (Odell, DeBoer)

• Pawel Danielewicz (Michigan State University)

ISNET: 2A (Pei, Reinhard, Cranmer)

• Dean Lee (Michigan State University)

ISNET: 2B (Baker,Kejzlar, Afanasjev)

• Witold Nazarewicz ()

ISNET: 2C (Vassh, Acharya)

• Dean Lee (Michigan State University)

ISNET: 2D (Kroenert, Bub, Heinz, Alnamlah)

• Scott Pratt (Michigan State University)

ISNET: 3A (Raykov, Horn, Lovato, Mayer)

• Pawel Danielewicz (Michigan State University)

ISNET: 3B (Mercenne, Neudecker, Krems)

• Taylor Whitehead (MSU)

ISNET: 3C (Fox,Maridi,Poudel)

• Frederi Viens (MSU)

ISNET: Discussions and BAND Camp Collaboration Meeting

• There are no conveners in this block

Contribution list Timetable

6. Statistical Analyses of Nuclear Reactions

Christian Drischler (Michigan State Univ)

14/12/2021, 08:45

Talk

7. Calibration of Computer Models, Variational Bayes, and Model Averaging

Shrijita Bhattacharya (Michigan State Univ)

14/12/2021, 09:15

Talk

8. BAND Overview

Pablo Giuliani (Michigan State Univ)

14/12/2021, 09:45

Talk

9. A Graphical Multi-fFidelity Gaussian Process Model for Expensive Computer Code Emulation

Simon Mak (Duke Univ)

14/12/2021, 10:30

Talk

10. Transfer Learning Emulation

Dan Liyanage (Ohio State Univ)

14/12/2021, 11:00

Talk

11. A Hitchhiker's Guide to Correlated Errors

Ron Soltz (Livermore Lab)

14/12/2021, 11:30

Talk

12. Statistical Analysis in JETSCAPE

Derek Everett (Booz Allen Hamilton)

14/12/2021, 12:00

Talk

13. Bayesian R-Matrix

Daniel Odell (Ohio University)

14/12/2021, 13:45

Talk

14. Getting to Know MCMC Applied to Phenomenological R-Matrix

Richard deBoer (University of Notre Dame)

14/12/2021, 14:15

Talk

16. Bayesian Analyses of Fission Data

Juchen Pei (Peking Univ)

15/12/2021, 08:45

Talk

17. The nuclear neutron radius puzzle -- an error analysis

P.G. Reinhard (Nurnberg Univ)

15/12/2021, 09:15

Talk

18. Incorporating uncertainty at the LHC

Kyle Cranmer (NYU / Wisconsin)

15/12/2021, 09:45

Talk

19. Quantifying Truncation Errors of Chiral Effective Field Theory in Ab-Initio Nucleon-Nucleus Elastic Scattering

Robert Baker (Ohio Univ)

15/12/2021, 10:45

Talk

20. Calibrating Computer Models

Vojtech Kejzlar (Skidmore College)

15/12/2021, 11:15

Talk

21. Uncertainty Quantifications in Covariant Density Functional Theory: Results, Challenges and Limitations

Anatoli Afanasjev (Mississippi State Univ)

15/12/2021, 11:45

Talk

23. Coupling Nuclear Physics and Nucleosynthesis Observables with Statistical Methods

Nicole Vassh (TRIUMF)

15/12/2021, 14:00

Talk

22. Bayesian Error Modeling for Calculations of Nuclear Electroweak Reactions

Bijaya Acharya (JGU-Mainz)

15/12/2021, 14:30

25. Bayesian Analysis for Partial Wave Analysis

Philipp Kroenert (Bonn Univ)

15/12/2021, 15:30

Talk

26. Pionless Effective Field Theory Parameter Fitting with Markov Chain Monte Carlo

Jason Bub (Washington University)

15/12/2021, 15:50

Talk

27. Approximations and Uncertainties in the IMSRG

Matthias Heinz (Darmstadt Univ)

15/12/2021, 16:10

Talk

28. Rotational bands in odd-mass nuclei using Effective Field Theory and Bayesian methods

Ibrahim Alnamlah (Ohio Univ)

15/12/2021, 16:30

Talk

29. We are Getting There Almost All of the Time: Strong Convergence of a Bayesian Estimator with Increasing Number of Observations

Tenko Raykov (Michigan State Univ)

16/12/2021, 08:45

Talk

30. Applying Neural Networks to Shell Model calculations

Alexis Mercenne (Yale Univ)

16/12/2021, 09:15

Talk

31. Neural Net Wave Functions

Alessandro Lovato (Argonne Nat Lab), Alexis Mercenne (Yale Univ)

16/12/2021, 09:45

44. Fast Emulation of Few-Body Scattering

Xilin Zhang (Michigan State Univ)

16/12/2021, 10:15

33. Machine Learning in Nuclear Physics

Tanja Horn (Catholic Univ)

16/12/2021, 11:00

Talk

34. Machine Learning Methods for Reactions

Denise Neudecker (Los Alamos Nat Lab)

16/12/2021, 11:30

Talk

35. Machine Learning for Cold Atoms

Roman Krems (Univ of British Columbia)

16/12/2021, 12:00

Talk

37. Bayesian UQ of Shell Model Calculations & Deep Generative Learning Reaction Cross Sections

Jordan Fox (San Diego State Univ)

16/12/2021, 14:00

Talk

38. Data Normalization of p+9Be Elastic Scattering Below 30MeV: Statistical Study

Hasan Maridi (Heavy Ion Laboratory, University of Warsaw, Poland)

16/12/2021, 14:30

Talk

39. Bayesian Modeling of the EFT Description of 3He-alpha Scattering

Maheshwar Poudel (Ohio Unniv)

16/12/2021, 14:50

Talk

24. Bayesian Astrophysics

David Hogg (NY Univ)

Talk

32. Classical and Machine Learning event reconstruction in NeuLAND

Jan Mayer (Cologne Univ)

Talk

36. Fast Emulation of Few-Body Scattering

Xilin Zhang (Michigan State Univ)

Talk

43. Quantifying Truncation Errors of Chiral Effective Field Theory in Ab-Initio Nucleon-Nucleus Elastic Scattering

Robert Baker (Ohio Univ)

Talk