FRAM Next Generation at the Pierre Auger Observatory: cloud monitoring in the age of CMOS cameras

TL;DR

The paper introduces a new CMOS camera-based device for cloud monitoring at the Pierre Auger Observatory, offering higher resolution, faster coverage, and additional atmospheric data capabilities compared to previous systems.

Contribution

It presents the design and potential of framNG, a novel, compact, and cost-effective cloud monitoring device utilizing advanced CMOS cameras for enhanced atmospheric observation.

Findings

Enables rapid, high-resolution cloud detection within 30 seconds.

Provides additional atmospheric data such as aerosol extinction and sky brightness.

Capable of recording atmospheric phenomena and astrophysical transients.

Abstract

The visibility of stars is often used for cloud detection using all-sky cameras, which have however only a limited reach and resolution near the horizon due to the lack of detectable stars. At the Pierre Auger Observatory, it is also used by the current generation of FRAM robotic telescopes, but -- due to their limited field of view -- only for a small number of selected showers. Thanks to the recent development in astronomical CMOS cameras, we are able to propose a new type of device, specifically tailored to the field of view of the fluorescence detectors (FD) of the Pierre Auger Observatory. The sub-second readout times available with CMOS cameras allows the efficient use of short exposures, and so the field of view of one FD can be covered within half a minute with a resolution and reach sufficient to detect small clouds with a setup that is significantly smaller, simpler and cheaper than the current FRAMs. The FRAM Next Generation (framNG) device will be able not only to detect clouds, but also to assess their optical thickness, provide information on aerosol extinction, sky brightness and possibly even record atmospheric phenomena and astrophysical transients. The main challenge lies in the large data volume produced which necessitates reliable real-time data processing.