Tootfinder

I decided to share some of my observations that would benefit you if you are building applications: a deep dive session into the archetypes of attackers.
This session is for people who are developing software of any kind. It could be an API endpoint, a blog, or a complex application used by millions.
Join in or share with smart people.
Let me help you!

Join the NSF–DOE Vera C. Rubin Observatory team on June 23, 2025 at 11am US EDT
as they reveal the first incredible images from the world’s newest and most powerful survey telescope,
equipped with the largest digital camera ever built.
https://m.youtube.com/watch?v=Zv22_Ams

Oh nein, ein Elektro-Zug hat gebrannt. Die Foren laufen sich schon warm.
Es war die Bremse.
https://bahnblogstelle.com/233034/feuerwehreinsatz-in-gelsenkirchen-wegen-rauchentwicklung-an-regionalzug/

Does anyone have an IEEE DataPort subscription through your work or institution and would be open to sharing some files?
I'd love to get https://ieee-dataport.org/documents/cloud-telescope-internet-background-radiation-may-2023…

GalaxyGenius: A Mock Galaxy Image Generator for Various Telescopes from Hydrodynamical Simulations
Xingchen Zhou, Hang Yang, Nan Li, Qi Xiong, Furen Deng, Xian-Min Meng, Renhao Ye, Shiyin Shen, Peng Wei, Qifan Cui, Zizhao He, Ayodeji Ibitoye, Chengliang Wei, Yuedong Fang
https://arxiv.org/abs/2506.15060

GalaxyGenius: A Mock Galaxy Image Generator for Various Telescopes from Hydrodynamical Simulations
To advance research on galaxies in the era of large-scale sky surveys, we introduce GalaxyGenius, a Python package designed to produce synthetic galaxy images tailored to different telescopes based on hydrodynamical simulations. The package comprises three main modules: data preprocessing, ideal data cube generation, and mock observation. Specifically, the preprocessing module extracts necessary properties of star and gas particles for a selected subhalo from hydrodynamical simulations and crea…

Das Ende des Thirty Meter Telescopes? – US-Kongress soll kein Geld mehr geben
2024 hat die National Science Foundation erklärt, dass das Geld nur für ein US-Riesenteleskop reicht. Nun soll das Thirty Meter Telescope leer ausgehen.

Thermal and Optical Characterization of Near-Earth Objects: Science Commissioning of the Recently Upgraded Mid-Infrared Camera MIRSI on the NASA Infrared Telescope Facility
Andy J. L\'opez-Oquendo, Joseph L. Hora, David E. Trilling, Howard A. Smith
https://arxiv.org/abs/2506.13943

Thermal and Optical Characterization of Near-Earth Objects: Science Commissioning of the Recently Upgraded Mid-Infrared Camera MIRSI on the NASA Infrared Telescope Facility
Mid-infrared (mid-IR) observations of Near-Earth Objects (NEOs) have historically been a valuable tool for understanding their physical properties. However, the current state of mid-IR instruments on ground-based telescopes places several limitations on performing thermal characterization of NEOs. The complexity of maintaining these instruments in operational conditions on telescopes has led to their decommissioning. Here, we present the first science commissioning observations out to 12.5 micr…

Telescopes on the Andes glimpse elusive encounters fueled by the very first stars in the universe more than 13 billion years ago by detecting cosmic microwave light signals https://www.404media.co/humans-have-now-seen-the-dawn-of-time-from-ear…

Humans Have Now Seen the Dawn of Time from Earth After Breakthrough
Telescopes perched on the Andes Mountains glimpsed elusive encounters fueled by the first of the first stars in the universe more than 13 billion years ago.

4/4 📊 Visible failure tracking in #Horizon, #Telescope, or your #APM for better debugging and monitoring of failed jobs.

Deep learning inference with the Event Horizon Telescope I. Calibration improvements and a comprehensive synthetic data library
M. Janssen, C. -k. Chan, J. Davelaar, I. Natarajan, H. Olivares, B. Ripperda, J. R\"oder, M. Rynge, M. Wielgus
https://arxiv.org/abs/2506.13873

Deep learning inference with the Event Horizon Telescope I. Calibration improvements and a comprehensive synthetic data library
(abridged) In a series of publications, we describe a comprehensive comparison of Event Horizon Telescope (EHT) data with theoretical models of Sgr A* and M87*. Here, we report on improvements made to our observational data reduction pipeline and present the generation of observables derived from the EHT models. We make use of ray-traced GRMHD simulations that are based on different black hole spacetime metrics and accretion physics parameters. These broad classes of models provide a good repre…