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科学家通过鬼光谱实现快速远程光谱识别
作者:小柯机器人 发布时间:2024/4/17 14:20:44

近日,意大利罗马第三大学的Ilaria Gianani等人合作并取得一项新进展。经过不懈努力,他们通过鬼光谱实现快速远程光谱识别。相关研究成果已于2024年4月12日在国际知名学术期刊《物理评论A》上发表。

该研究团队提出一项实验研究,旨在通过假设检验框架实现鬼光谱的快速准确鉴别。研究人员深入分析了不同样本的实验结果,并结合模拟手段,对最常见场景进行了深入探索。

据悉,评估化学、生物、放射和核威胁的存在是极为关键的工作,这通常涉及在光谱测量中,通过分析被测物体吸收剖面中的光谱特征来完成。量子鬼成像技术为这一任务带来了全新的视角,使得研究人员可以在不影响测量精度的前提下,实现远程测量。然而,为了获得足够的信噪比,往往需要较长的采集时间,这在一定程度上削弱了遥感技术的优势。不过,值得注意的是,在很多情况下,并不需要重建物体的完整光谱线形状,而更关心的是确定光谱吸收物体的存在与否。

附:英文原文

Title: Fast remote spectral discrimination through ghost spectrometry

Author: A. Chiuri, M. Barbieri, Iole Venditti, Federico Angelini, Chiara Battocchio, Matteo G. A. Paris, Ilaria Gianani

Issue&Volume: 2024/04/12

Abstract: Assessing the presence of chemical, biological, radiological, and nuclear threats is a crucial task which is usually dealt with in spectroscopic measurements by analyzing the presence of spectral features in a measured absorption profile. The use of quantum ghost spectroscopy opens up the enticing perspective to perform these measurements remotely without compromising the measurement accuracy. However, in order to have the necessary signal-to-noise ratio, long acquisition times are typically required, hence subtracting from the benefits provided by remote sensing. In many instances, though, reconstructing the full spectral lineshape of an object is not needed and the interest lies in ascertaining the presence of a spectrally absorbing object. Here, we present an experimental investigation on the employ of the hypothesis testing framework to obtain a fast and accurate discrimination, carried out by ghost spectrometry. We discuss the experimental results obtained with different samples and complement them with simulations to explore the most common scenarios.

DOI: 10.1103/PhysRevA.109.042617

Source: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.109.042617

期刊信息

Physical Review A:《物理评论A》,创刊于1970年。隶属于美国物理学会,最新IF:2.97
官方网址:https://journals.aps.org/pra/
投稿链接:https://authors.aps.org/Submissions/login/new