Estimating Super Heavy Element Event Random Probabilities Using Monte Carlo Methods

ORAL

Abstract

Because superheavy element (SHE) experiments involve very low event rates and low statistics, estimating the probability that a given event sequence is due to random events is extremely important in judging the validity of the data. A Monte Carlo method developed at LLNL [1] is used on recent SHE experimental data to calculate random event probabilities. Current SHE experimental activities in collaboration with scientists at Dubna, Russia will be discussed. \\[4pt] [1] N.J. Stoyer, et al., Nucl. Instrum. Methods Phys. Res. A 455 (2000) 433.

*This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

Authors

  • Mark Stoyer

    • LLNL
  • Roger Henderson

    • LLNL
  • Jacqueline Kenneally

    • LLNL
  • Kenton Moody

    • LLNL
  • Sarah Nelson

  • Dawn Shaughnessy

    • LLNL
  • Philip Wilk

    • LLNL