Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2014, Vol. 25 ›› Issue (5): 050201 doi: 10.13538/j.1001-8042/nst.25.050201

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A study of quasi-absolute method in photon activation analysis

SUN Zai-Jing,1 D. Wells,2 C. Segebade,3 S. Chemerisov,1 K. Quigley1   

  1. 1Chemical Sciences & Engineering Division, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, IL 60439, United States
    2Physics Department, South Dakota School of Mines & Technology, 501 E. Saint Joseph St. Rapid City, SD 57701, United States
    3Idaho Accelerator Center, Idaho State University, 921 S. 8th Ave. Pocatello, ID 83209, United States
  • Contact: SUN Zai-Jing E-mail:sunz@anl.gov
  • Supported by:

    Supported by the U.S. Department of Energy, Basic Energy Sciences, Office of Science (No. DE-AC02-06CH11357)

SUN Zai-Jing, D. Wells, C. Segebade, S. Chemerisov, K. Quigley. A study of quasi-absolute method in photon activation analysis.Nuclear Science and Techniques, 2014, 25(5): 050201     doi: 10.13538/j.1001-8042/nst.25.050201

Abstract:

Relative methods, which are performed with the assistance of reference materials, are widely used in photon activation analysis (PAA). On the contrary, absolute methods, which are conducted without any reference material, are rarely applied due to the difficulty in obtaining photon flux. To realize absolute measurement in PAA, we retrieve photon flux in the sample via Monte Carlo simulation and raise a novel procedure—quasi-absolute method. With simulated photon flux and cross section data from existing databases, it is possible to calculate the concentration of target elements in the sample straightforwardly. A controlled experiment indicates that results from the quasi-absolute method for certain elements are nearly comparable to relative methods in practice. This technique of absolute measurement has room for improvement in the future and can serve as a validation technique for experimental data on cross sections as well.

Key words: Photon activation analysis (PAA), Monte Carlo Simulation, LINAC