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Abstract Terrestrial Gamma-ray Flashes (TGFs) are intense bursts of gamma rays originating from the Earth’s atmosphere, primarily produced by lightning flashes through relativistic runaway electron avalanches. Observations from the Telescope Array in Utah, equipped with a variety of lightning detection instruments, have revealed detailed insights into TGF initiation and propagation, including their optical emissions. High-speed video cameras and spectroscopic systems have captured optical emissions linked to TGFs, revealing key insights into their initiation and propagation. These findings enhance our understanding of the complex processes underlying TGFs and lightning flashes during thunderstorms. 

Abstract On 11 September 2021, two small thunderstorms developed over the Telescope Array Surface Detector (TASD) that produced an unprecedented number of six downward terrestrial gamma ray flashes (TGFs) within one‐hour timeframe. The TGFs occurred during the initial stage of negative cloud‐to‐ground flashes whose return strokes had increasingly large peak currents up to 223 kA, 147 GeV energy deposit in up to 25 1.2 km‐spaced surface detectors, and intermittent bursts of gamma‐rays with total durations up to 717 s. The analyses are based on observations recorded by the TASD network, complemented by data from a 3D lightning mapping array, broadband VHF interferometer, fast electric field change sensor, high‐speed video camera, and the National Lightning Detection Network. The TGFs of the final two flashes had gamma fluences of and 8, logarithmically bridging the gap between previous TASD and satellite‐based detections. The observations further emphasize the similarity between upward and downward TGF varieties, suggesting a common mechanism for their production. 

Abstract Optical emissions associated with Terrestrial Gamma ray Flashes (TGFs) have recently become important subjects in space‐based and ground‐based observations as they can help us understand how TGFs are produced during thunderstorms. In this paper, we present the first time‐resolved leader spectra of the optical component associated with a downward TGF. The TGF was observed by the Telescope Array Surface Detector (TASD) simultaneously with other lightning detectors, including a Lightning Mapping Array (LMA), an INTerFerometer (INTF), a Fast Antenna (FA), and a spectroscopic system. The spectroscopic system recorded leader spectra at 29,900 frames per second (33.44 s time resolution), covering a spectral range from 400 to 900 nm, with 2.1 nm per pixel. The recordings of the leader spectra began 11.7 ms before the kA return stroke and at a height of 2.37 km above the ground. These spectra reveal that optical emissions of singly ionized nitrogen and oxygen occur between 167 s before and 267 s after the TGF detection, while optical emissions of neutrals (H I, 656 nm; N I, 744 nm, and O I, 777 nm) occur right at the moment of the detection. The time‐dependent spectra reveal differences in the optical emissions of lightning leaders with and without downward TGFs. 

The digitization of legacy infrastructure constitutes an important component of smart cities. While most cities worldwide possess digital maps of their transportation infrastructure, few have accurate digital information on their electric, natural gas, telecom, water, wastewater, and district heating and cooling systems. Digitizing data on legacy infrastructure systems comes with several challenges such as missing data, data conversion issues, data inconsistency, differences in the data format, spatio-temporal resolutions, structure, semantics and syntax, difficulty in providing controlled access to the datasets, and so on. Therefore, we introduce GUIDES, a new data conversion and management framework for urban infrastructure systems, which is comprised of big data analytics, efficient data management techniques, semantic web technologies, methods to ensure information security, and tools that aid visual analytics. The proposed framework facilitates: (i) mapping of urban infrastructure systems; (ii) integration of heterogeneous geospatial data; (iii) a secured way of storing, analyzing and querying data while preserving the semantics; (iv) qualitative and quantitative analysis over several spatio-temporal resolutions; and (v) visualization of static (e.g., land use) and dynamic (e.g., road traffic) information. 

ABSTRACT We catalogue the 443 bright supernovae (SNe) discovered by the All-Sky Automated Survey for Supernovae (ASAS-SN) in 2018−2020 along with the 519 SNe recovered by ASAS-SN and 516 additional mpeak ≤ 18 mag SNe missed by ASAS-SN. Our statistical analysis focuses primarily on the 984 SNe discovered or recovered in ASAS-SN g-band observations. The complete sample of 2427 ASAS-SN SNe includes earlier V-band samples and unrecovered SNe. For each SN, we identify the host galaxy, its UV to mid-IR photometry, and the SN’s offset from the centre of the host. Updated peak magnitudes, redshifts, spectral classifications, and host galaxy identifications supersede earlier results. With the increase of the limiting magnitude to g ≤ 18 mag, the ASAS-SN sample is nearly complete up to mpeak = 16.7 mag and is 90 per cent complete for mpeak ≤ 17.0 mag. This is an increase from the V-band sample, where it was roughly complete up to mpeak = 16.2 mag and 70 per cent complete for mpeak ≤ 17.0 mag.