TY  - JOUR
T1  - Bayesian Parameter Inference of Explosive Yields using
Markov Chain Monte Carlo Techniques
AU - Burkhardt, John 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 5
SP  - 1115
EP  - 1126
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.1115.1126
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.1115.1126
KW  - Bayesian inference
KW  -nonlinear regression
KW  -explosive yield
KW  -Markov chain Monte Carlo
KW  -estimated
KW  -characteristics
AB  - A Bayesian parameter inference problem is conducted to estimate the explosive yield of the first
atomic explosion at Trinity in New Mexico. Using data taken from archival film footage of the explosion and
a physical model for the expansion characteristics of the resulting fireball, a yield estimate is made. In addition,
the observed correlations between the yield and other parameters in the time-radius fireball expansion model
are constructed. Bayesian results indicate that the estimated parameters are consistent with previous estimates
and model predictions but possess some characteristics of significance which impact the radius-time fireball
expansion model.
ER  -