Radiometric Dating Using VPython and Glowscript
Faculty Commons material developed by
Michele M. Montgomery
- Published July 14, 2019
Goals: To gain experience in modifying python code to solve physics problems regarding radioactive decay and/or rates of decay; to gain an understanding of ionizing radiation like beta decay and effects on human tissues from external impacts.
Major Objectives/Checklist of Successes for Non-Majors and Majors:
1. To calculate the age of a sample of linen wrapper via radiometric dating using paper and pencil as well as a python numerical code.
2. To compare that calculated age with the claimed theoretical age of linen wrapper, which is around t ~ A.D. 30 years.
3. To conclude whether the calculated age is ~ A.D. 30 years, well before (B.C. or t << A.D. 1 year), or well after (t >> A.D. 30 years).
4. To determine if beta decay is damaging to human tissue.
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