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快速低噪声天文成像仪的最优光子计数

Optimal Photon Counting with Fast, Low Noise Astronomical Imagers

Jack T. Dinsmore, Christopher Layden, Roger W. Romani, Vera L. Berger, Kevin B. Burdge, Geoffrey Mo, Deepto Chakrabarty, Emma T. Chickles, Gabor Furesz, Juliana García-Mejía, Dave Osip, Jack Piotrowski

arXiv 2610.07137首次发表:更新:

发表机构

Stanford University; Kavli Institute for Particle Astrophysics and Cosmology, Stanford University; Massachusetts Institute of Technology; Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology; The Observatories of the Carnegie Institution for Science(斯坦福大学; 斯坦福大学粒子天体物理与宇宙学 Kavli 研究所; 麻省理工学院; 麻省理工学院天体物理与空间研究 Kavli 研究所; 卡内基科学机构天文台)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文提出一种针对亚电子读噪声探测器的最优光子计数方法,在CMOS等仪器上显著提升暗弱源信噪比(最高约130%),并成功探测四颗脉冲星,配套提供lightspeedpy处理流水线。

AI 中文摘要

测量快速天体物理现象需要大量短曝光,而短曝光会遭受重复的读噪声。近期多种技术实现了亚电子读噪声,从而能够对暗弱源进行快速时域研究。这些数据可以用传统方法分析,但分辨单个电子的能力催生了一类更精确的新光子计数技术。我们提出了一种针对亚电子读噪声探测器的光子计数方法,该方法能提供最优的统计不确定性。我们聚焦于互补金属氧化物半导体(CMOS)探测器,并在CMOS仪器“proto-Lightspeed”收集的光学数据上演示了我们的方法,该仪器最近在拉斯坎帕纳斯天文台的麦哲伦克莱望远镜上投入使用。该方法也可应用于非CMOS探测器,如skipper CCD和线性模式雪崩光电二极管。该方法显著改善了暗弱源的分析,将信噪比提高了约130%,若仅依靠数据本身达到同等效果则需要5.3倍的观测时间。作为示例,我们展示了四颗具有确认光学脉冲的正常旋转动力脉冲星的探测,这些探测在不到两小时的总曝光时间内完成。我们提供了lightspeedpy流水线,用于同时采用光子计数和标准技术处理proto-Lightspeed数据。

英文摘要

Measuring rapid astrophysical phenomena requires many short exposures, which suffer from repeated read noise. A variety of recent technologies are achieving sub-electron read noise, which enable rapid time-domain studies of faint sources. These data can be analyzed with traditional methods, but the ability to resolve individual electrons enables a new class of more precise, photon-counting techniques. We present a photon-counting method for sub-electron read noise detectors which delivers optimal statistical uncertainties. We focus on Complementary Metal-Oxide-Semiconductor (CMOS) detectors and demonstrate our method on optical data collected by CMOS instrument "proto-Lightspeed," recently commissioned at the Magellan Clay telescope at Las Campanas Observatory. The method can be applied to non-CMOS detectors as well, such as skipper CCDs and linear-mode avalanche photodiodes. The method substantially improves analysis of faint sources, increasing signal to noise ratios by up to $\sim 130\%$, which would require 5.3$\times$ more observing time to accomplish with data alone. As an example we show detections of four normal rotation-powered pulsars with confirmed optical pulses, achieved in under two hours of total exposure. We provide the lightspeedpy pipeline for reducing proto-Lightspeed data with both photon counting and standard techniques.

Comments10+1 pages, 7 figures. Submitted for publication in AJ

论文原文

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