Tootfinder

Simultaneous observations of multiple ELVES and SPRITES at the Pierre #Auger Observatory: https://arxiv.org/abs/2507.11641 -> "the Pierre Auger Observatory has exploited a dedicated trigger and its very high time resolution to study ELVES and harvest record samples of multiple ELVES using the Fluorescence Detector (FD). In 2017, after extending the readout of trace lengths to 0.9 ms, we started observing other types of light transients from the base of the ionosphere, such as HALOS, which deserved further investigation. In December 2023 and April 2024, we installed two additional cameras (TLECAMs), which allow us to perform simultaneous detection of these transients with higher space resolution and longer integration times. Here, we present our first simultaneous observations of SPRITES and ELVES by both TLECAMs and FD."

Krugman outlines a constellation of possible causes around a core theme: extreme uncertainty.
“What does a business do in the face of this kind of uncertainty? It tries to avoid making commitments that it may soon regret.”
Krugman tries to tie it all to Trump’s recent actions, which is dubious: the post-college job market has been crap since 2022 or 2023; Krugman’s own graph suggests it started worsening circa 2018. The larger theme of uncertainty, however, fits that timeframe.

Tracing the light: Identification for the optical counterpart candidates of binary black-holes during O3
Lei He, Zhengyan Liu, Rui Niu, Bingzhou Gao, Mingshen Zhou, Purun Zou, Runduo Liang, Wen Zhao, Ning Jiang, Zhen-Yi Cai, Zi-Gao Dai, Ye-Fei Yuan
https://arxiv.org/abs/2507.02475

Tracing the light: Identification for the optical counterpart candidates of binary black-holes during O3
The accretion disks of active galactic nuclei (AGN) are widely considered the ideal environments for binary black hole (BBH) mergers and the only plausible sites for their electromagnetic (EM) counterparts. Graham et al.(2023) identified seven AGN flares that are potentially associated with gravitational-wave (GW) events detected by the LIGO-Virgo-KAGRA (LVK) Collaboration during the third observing run. In this article, utilizing an additional three years of Zwicky Transient Facility (ZTF) pub…

Identifying High-Risk Areas for Traffic Collisions in Montgomery, Maryland Using KDE and Spatial Autocorrelation Analysis
Stanislav Liashkov
https://arxiv.org/abs/2506.21930

Identifying High-Risk Areas for Traffic Collisions in Montgomery, Maryland Using KDE and Spatial Autocorrelation Analysis
Despite a global decline in motor vehicle crash fatalities due to improved research and road safety policies, road traffic injuries remain a significant public health concern. The World Health Organization 2023 report highlights that road traffic injuries are the leading cause of death among individuals aged 5-29, with over half of fatalities involving pedestrians, cyclists, and motorcyclists. This study addresses this critical issue by identifying high-risk areas in Montgomery County, Maryland…