Exploring the role of preformation probability in the DCM: Insights and predictions for future discoveries

The understanding structure and composition of compound nuclei provide valuable insights into nuclear reaction mechanisms, including decay modes and cross-sections. The compound nucleus is a transient state where the nucleons from the projectile and the target nuclei combine, leading to a complex system. The interpretation of the intricate structure of the nucleus necessitates a crucial factor that facilitates its construction. This knowledge enables the calculation for cross-sections of every decay particle in a nuclear reaction on individual basis. This factor is incorporated in the Dynamical Cluster-decay Model (DCM), known as the preformation probability, often denoted as [Formula: see text]. This is the key factor in determining the outcomes of nuclear reactions. Preformation probability refers to the plausibility of a specific configuration or state occurring in a system before a particular event or measurement. In theoretical models, the preformation probability aids in predicting fission fragment yields. One of the notable advantages of the DCM is its incorporation of preformation probability, making it a more comprehensive framework compared to other fission models. This study explores the significance of [Formula: see text], paving the way for breakthroughs in nuclear research and applications.

Authors

Institutions

Publication Details

Journal
International Journal of Modern Physics E
Published
2025-12-24
DOI
https://doi.org/10.1142/s0218301326300018
Primary Topic
Nuclear physics research studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the role of preformation probability in the DCM: Insights and predictions for future discoveries

Arshdeep Kaur, Ram Kishan Bhardwaj, Sahila Chopra
International Journal of Modern Physics E
Nuclear physics research studies
article

Exploring the role of preformation probability in the DCM: Insights and predictions for future discoveries

Arshdeep Kaur, Ram Kishan Bhardwaj, Sahila Chopra
article en

Abstract

The understanding structure and composition of compound nuclei provide valuable insights into nuclear reaction mechanisms, including decay modes and cross-sections. The compound nucleus is a transient state where the nucleons from the projectile and the target nuclei combine, leading to a complex system. The interpretation of the intricate structure of the nucleus necessitates a crucial factor that facilitates its construction. This knowledge enables the calculation for cross-sections of every decay particle in a nuclear reaction on individual basis. This factor is incorporated in the Dynamical Cluster-decay Model (DCM), known as the preformation probability, often denoted as [Formula: see text]. This is the key factor in determining the outcomes of nuclear reactions. Preformation probability refers to the plausibility of a specific configuration or state occurring in a system before a particular event or measurement. In theoretical models, the preformation probability aids in predicting fission fragment yields. One of the notable advantages of the DCM is its incorporation of preformation probability, making it a more comprehensive framework compared to other fission models. This study explores the significance of [Formula: see text], paving the way for breakthroughs in nuclear research and applications.

International Journal of Modern Physics EVol. 35(03)
Maharishi Markandeshwar University, Mullana (IN), Guru Gobind Singh Medical College and Hospital (IN), Baddi University of Emerging Sciences and Technologies (IN), IEC University (IN), Institute of Chartered Financial Analysts of India (IN)
Openalex Percentile: Top 22%
Nuclear physics research studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the role of preformation probability in the DCM: Insights and predictions for future discoveries — Arshdeep Kaur, Ram Kishan Bhardwaj, et al. · International Journal of Modern Physics E (2025) | TGRS Research Map | TGRS