arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2510.05855physics.ins-det
收藏

在ELI上使用Timepix3光学相机研究无基底纳米颗粒的超快动力学

Studies of ultrafast dynamics in substrate-free nanoparticles at ELI using Timepix3 optical camera

Czech Technical University in Prague(布拉格捷克理工大学);Institute of Physics of the Czech Academy of Sciences(捷克科学院物理研究所);Florida International University(佛罗里达国际大学);Indian Institute of Technology Madras(马德拉斯印度理工学院);Technical University of Applied Sciences(应用技术科技大学)

Dmitrij Ševaev, Andrei Nomerotski, Peter Švihra, Keshav Sishodia, Andreas Hult Roos, Martin Albrecht, Sivarama Krishnan, Jakob Andreasson, Maria Krikunova, Eva Klimešová

AI总结:

本文提出改进的Timepix3光学相机方法,用于研究无基底纳米颗粒在ELI的超快动态行为,克服高占用率条件下的读出限制。

摘要:

我们介绍了Timepix3光学相机(Tpx3Cam)在极端光基础设施欧洲研究基础设施联盟(ELI ERIC)中用于研究无基底纳米颗粒超快动力学的新应用。该相机集成在基于微通道板(MCP)和快速P47闪烁体的离子成像系统中,能够以纳秒级时间精度和高空间分辨率对入射离子进行个体时间戳标记。探测器成功捕捉到由强激光脉冲分解的自由纳米颗粒所引发的激光诱导离子事件。由于纳米颗粒的尺寸分布广泛(10-500 nm)以及相互作用体积内激光强度的变化,检测到的事件在占用率上从接近零到极高水平,接近探测器的读出极限。通过结合飞行时间和速度映射成像(VMI)技术,进行了详细的后期处理和分析。本文的结果重点在于Tpx3Cam在高占用率条件下的性能,这些条件对于本研究具有特别相关性。这些条件接近由相机读出能力所限制的极限,并挑战了标准后期处理算法的有效性。我们研究了这些限制和相关权衡,并提出了改进的方法和算法,以从数据中提取最有信息量的特征。

英文摘要:

We present a novel application of the Timepix3 optical camera (Tpx3Cam) for investigating ultrafast dynamics in substrate-free nanoparticles at the Extreme Light Infrastructure European Research Infrastructure Consortium (ELI ERIC). The camera, integrated into an ion imaging system based on a micro-channel plate (MCP) and a fast P47 scintillator, enables individual time-stamping of incoming ions with nanosecond timing precision and high spatial resolution. The detector successfully captured laser-induced ion events originating from free nanoparticles disintegrated by intense laser pulses. Owing to the broad size distribution of the nanoparticles (10-500 nm) and the variation in laser intensities within the interaction volume, the detected events range in occupancy from near-zero to extremely high, approaching the readout limits of the detector. By combining time-of-flight and velocity map imaging (VMI) techniques, detailed post-processing and analysis were performed. The results presented here focus on the performance of Tpx3Cam under high-occupancy conditions, which are of particular relevance to this study. These conditions approach the limitations imposed by the camera readout capabilities and challenge the effectiveness of standard post-processing algorithms. We investigated these limitations and associated trade-offs, and we present improved methods and algorithms designed to extract the most informative features from the data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑