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The International Atomic Energy Agency (IAEA) has recently approved passive gamma emission tomography (PGET) as a method for inspecting spent nuclear fuel assemblies (SFAs), an important aspect of international nuclear safeguards which aim…

Instrumentation and Detectors · Physics 2019-05-13 Rasmus Backholm , Tatiana A. Bubba , Camille Bélanger-Champagne , Tapio Helin , Peter Dendooven , Samuli Siltanen

Compliance of member States to the Treaty on the Non-Proliferation of Nuclear Weapons is monitored through nuclear safeguards. The Passive Gamma Emission Tomography system is a novel instrument developed by the International Atomic Energy…

Instrumentation and Detectors · Physics 2021-03-19 Ming Fang , Yoann Altmann , Daniele Della Latta , Massimiliano Salvatori , Angela Di Fulvio

Safeguarding the disposal of spent nuclear fuel in a geological repository needs an effective, efficient, reliable and robust non-destructive assay (NDA) system to ensure the integrity of the fuel prior to disposal. In the context of the…

Instrumentation and Detectors · Physics 2020-09-25 Riina Virta , Rasmus Backholm , Tatiana A. Bubba , Tapio Helin , Mikael Moring , Samuli Siltanen , Peter Dendooven , Tapani Honkamaa

Spent nuclear fuel imaging before disposal is of utmost importance before long term disposal in dedicated storage facilities. Passive Gamma Emission Tomography (PGET) is an approved method by the International Atomic Energy Agency. The…

In spring 2019 the international atomic energy agency (IAEA) has run a public competition to look at tomographic reconstruction algorithms for its PGET detector, used to determine activity levels in nuclear reactors spent fuel rods. The…

Medical Physics · Physics 2019-10-16 Luca Presotto

We are evaluating the performance of a Passive Gamma Emission Tomography (PGET) device equipped with 3D position-sensitive cadmium zinc telluride (CZT) gamma-ray detectors when used for inspecting spent nuclear fuel assemblies (SFAs).…

Instrumentation and Detectors · Physics 2025-01-09 Santeri Saariokari , Peter Dendooven , Mounia Laassiri , Erik Brücken

Prompt Gamma Timing (PGT) is a promising technique for in vivo range verification in particle therapy, exploiting the time-of-flight between primary particles and prompt gamma rays emitted by nuclear interactions. PGT distribution is highly…

The rapid expansion of electric vehicles has intensified the need for accurate and efficient diagnosis of lithium-ion batteries. Parameter identification of electrochemical battery models is widely recognized as a powerful method for…

Machine Learning · Computer Science 2025-10-29 Hojin Cheon , Hyeongseok Seo , Jihun Jeon , Wooju Lee , Dohyun Jeong , Hongseok Kim

Electrical Impedance Tomography (EIT) is a powerful imaging modality widely used in medical diagnostics, industrial monitoring, and environmental studies. The EIT inverse problem is about inferring the internal conductivity distribution of…

Image and Video Processing · Electrical Eng. & Systems 2025-08-11 Alexander Denker , Fabio Margotti , Jianfeng Ning , Kim Knudsen , Derick Nganyu Tanyu , Bangti Jin , Andreas Hauptmann , Peter Maass

We introduce a novel technique, neutron-gamma emission tomography (NGET), for rapid detection, 3D imaging, and characterization of special nuclear materials like weapons grade plutonium and uranium. The technique is adapted from fundamental…

Applied Physics · Physics 2020-12-24 Jana Petrovic , Alf Göök , Bo Cederwall

Particle therapy relies on up-to-date knowledge of the stopping power of the patient tissues to deliver the prescribed dose distribution. The stopping power describes the average particle motion, which is encoded in the distribution of…

We consider nonlinear inverse problems arising in the context of parameter identification for parabolic partial differential equations (PDEs). For stable reconstructions, regularization methods such as the iteratively regularized…

Numerical Analysis · Mathematics 2025-07-16 Michael Kartmann , Benedikt Klein , Mario Ohlberger , Thomas Schuster , Stefan Volkwein

Real-time acquisition of accurate machine parameters is of significance to achieving high performance in electric drives, particularly targeted for mission-critical applications. Unlike the saturation effects, the temperature variations are…

Systems and Control · Electrical Eng. & Systems 2022-09-13 Aravinda Perera , Roy Nilsen

Photomultiplier tubes (PMTs) are widely employed in particle and nuclear physics experiments. The accuracy of PMT waveform reconstruction directly impacts the detector's spatial and energy resolution. A key challenge arises when multiple…

High Energy Physics - Experiment · Physics 2026-02-06 Kainan Liu , Jingyu Huang , Guihong Huang , Jianyi Luo

This paper presents a novel image reconstruction pipeline for three-gamma (3-{\gamma}) positron emission tomography (PET) aimed at improving spatial resolution and reducing noise in nuclear medicine; the proposed Direct3{\gamma} pipeline…

Medical Physics · Physics 2025-06-23 Youness Mellak , Alexandre Bousse , Thibaut Merlin , Debora Giovagnoli , Dimitris Visvikis

Parameter-efficient tuning (PET) techniques calibrate the model's predictions on downstream tasks by freezing the pre-trained models and introducing a small number of learnable parameters. However, despite the numerous PET methods proposed,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Jiacheng Ruan , Xian Gao , Suncheng Xiang , Mingye Xie , Ting Liu , Yuzhuo Fu

Dual-energy computed tomography (DECT) is a promising technology that has shown a number of clinical advantages over conventional X-ray CT, such as improved material identification, artifact suppression, etc. For proton therapy treatment…

Nuclear $\beta$ decay, a sensitive probe of nuclear structure and weak interactions, has become a precision test bed for physics beyond the Standard Model, driven by recent advances in spectrometric techniques. Here we introduce tomographic…

Nuclear Experiment · Physics 2025-12-02 PandaX Collaboration , Zhe Yuan , Zihao Bo , Wei Chen , Xun Chen , Yunhua Chen , Chen Cheng , Xiangyi Cui , Manna Deng , Yingjie Fan , Deqing Fang , Xuanye Fu , Zhixing Gao , Yujie Ge , Lisheng Geng , Karl Giboni , Xunan Guo , Xuyuan Guo , Zichao Guo , Chencheng Han , Ke Han , Changda He , Jinrong He , Houqi Huang , Junting Huang , Yule Huang , Ruquan Hou , Xiangdong Ji , Yonglin Ju , Xiaorun Lan , Chenxiang Li , Jiafu Li , Mingchuan Li , Peiyuan Li , Shuaijie Li , Tao Li , Yangdong Li , Zhiyuan Li , Qing Lin , Jianglai Liu , Yuanchun Liu , Congcong Lu , Xiaoying Lu , Lingyin Luo , Yunyang Luo , Yugang Ma , Yajun Mao , Yue Meng , Binyu Pang , Ningchun Qi , Zhicheng Qian , Xiangxiang Ren , Dong Shan , Xiaofeng Shang , Xiyuan Shao , Guofang Shen , Manbin Shen , Wenliang Sun , Xuyan Sun , Yi Tao , Yueqiang Tian , Yuxin Tian , Anqing Wang , Guanbo Wang , Hao Wang , Haoyu Wang , Jiamin Wang , Lei Wang , Meng Wang , Qiuhong Wang , Shaobo Wang , Shibo Wang , Siguang Wang , Wei Wang , Xu Wang , Zhou Wang , Yuehuan Wei , Weihao Wu , Yuan Wu , Mengjiao Xiao , Xiang Xiao , Kaizhi Xiong , Jianqin Xu , Yifan Xu , Shunyu Yao , Binbin Yan , Xiyu Yan , Yong Yang , Peihua Ye , Chunxu Yu , Ying Yuan , Youhui Yun , Xinning Zeng , Minzhen Zhang , Peng Zhang , Shibo Zhang , Siyuan Zhang , Shu Zhang , Tao Zhang , Wei Zhang , Yang Zhang , Yingxin Zhang , Yuanyuan Zhang , Li Zhao , Kangkang Zhao , Jifang Zhou , Jiaxu Zhou , Jiayi Zhou , Ning Zhou , Xiaopeng Zhou , Zhizhen Zhou , Chenhui Zhu , Marlom Ramalho , Jouni Suhonen

Parameter-efficient fine-tuning (PEFT) has become a popular way to adapt large pre-trained models to new tasks. Most PEFT methods update only a small subset of parameters while freezing the rest, avoiding redundant computation. As they…

Machine Learning · Computer Science 2025-08-25 Sungmin Kang , Jisoo Kim , Salman Avestimehr , Sunwoo Lee

In this paper, we provide a novel method for the estimation of unknown parameters of the Gaussian Mixture Model (GMM) in Positron Emission Tomography (PET). A vast majority of PET imaging methods are based on reconstruction model that is…

Signal Processing · Electrical Eng. & Systems 2023-06-30 Tomislav Matulić , Damir Seršić
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