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Jurnal IPTEK
Published by Institut Teknologi Adhi Tama Surabaya
ISSN : 14117010     EISSN : 2477507X     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal IPTEK - Media Komunikasi Teknologi Diterbitkan secara berkala setahun 2 (dua) kali pada bulan Mei dan Desember oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), Institut Teknologi Adhi Tama Surabaya (ITATS). Jurnal ini memuat hal-hal yang berkaitan dengan bidang Teknik Sipil, Teknik Mesin, Teknik Elektro, Teknik Arsitektur, Teknik Perkapalan, Teknik Informatika, Teknik Industri, Teknik Kimia, Teknik Lingkungan, Teknik Pertambangan, Teknik Geologi, Desain Produk, Sistem Informasi, dan Sistem Komputer baik yang ditulis dalam bahasa Indonesia maupun bahasa Inggris (diutamakan).
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Articles 11 Documents
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Search results for , issue "Vol 27, No 2 (2023)" : 11 Documents clear
Solving the Fermi equation for Modeling Nuclear Decay: Approaches, Assumptions, and Limitations in the Context of the Thomas-Dirac Distribution Siagian, Ruben Cornelius; Nasution, Budiman; Jubaidah, Jubaidah
Jurnal IPTEK Vol 27, No 2 (2023)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2023.v27i2.4424

Abstract

This study explores a sophisticated probabilistic model for radioactive decay, emphasizing decay probability in small time intervals. Equation (1), with decay constant and time interval (dt), is central. Integration yields Equations (2), (3), and (4), describing total decay (N) over larger intervals (T). The Poisson distribution links to Equation (5), depicting decay events with average rate. In radioactive decay, the binomial distribution is relevant for independent nuclei (R). Equations (7) and (8) outline the probability of observing (N) decays, utilizing the binomial distribution and coefficient. Equation (9) simplifies via the Poisson distribution and factorial (n), notably eliminating (R-N). This reveals the efficiency of representing binomial distribution properties. The study extends to analyzing radiotracers in nuclear medicine through visualized data, revealing properties like half-life and decay constants on graphs. Graphical analysis identifies time's role in deviation from true values, offering insights into radiotracer reliability. This amalgamation of probabilistic methods and radiotracer analysis significantly contributes to understanding and applying radioactive decay concepts in diverse scientific and medical contexts.

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