3-7 July 2017
Africa/Johannesburg timezone

Bayesian parameter estimation and model comparison for discrete data spectra

4 Jul 2017, 14:40
20m
A303A (Engineering Building 51)

A303A

Engineering Building 51

Oral Presentation Track G - Theoretical and Computational Physics Theoretical and Computational Physics 1

Speaker

Ms Li Wang (Stellenbosch University)

Description

Discrete random variables appear in many scientific fields. In physics, laboratory experiments often involve discrete counts of particles or photons e.g. in nuclear physics, laser physics, and experimental high energy physics. In other cases, data is compressed into integer form. Such counts of some quantity are measured in 'channels' such as angle, wavelength, multiplicity etc. Data will initially be generated by simulation to test the analytical framework and numerical strategies in the Bayesian theorem. At an advanced stage, application to laboratory spectra becomes feasible with corresponding physics insights, advanced techniques such as nested sampling is included.

Level for award<br>&nbsp;(Hons, MSc, <br> &nbsp; PhD, N/A)?

MSc

Main supervisor (name and email)<br>and his / her institution

Prof.H.C.Eggers
eggers@physics.sun.ac.za

Would you like to <br> submit a short paper <br> for the Conference <br> Proceedings (Yes / No)?

yes

Apply to be<br> considered for a student <br> &nbsp; award (Yes / No)?

yes

Primary author

Ms Li Wang (Stellenbosch University)

Co-author

Prof. Hans Eggers (Stellenbosch University)

Presentation Materials

There are no materials yet.