Tootfinder

Cruising through outer space it’s so pretty.
Vera Rubin telescope Skyviewer: https://skyviewer.app/explorer

Webb telescope captures first direct image of a new exoplanet in debris disk
https://phys.org/news/2025-06-webb-telescope-captures-image-exoplanet.html

#ALMA 2D #SuperResolution imaging survey of Ophiuchus Class I/flat spectrum/II #disks - discovery of new disk substructures: https://academic.oup.com/pasj/article/77/3/572/8117664?login=false -> New Super-resolution Imaging Reveals the First Step of Planet Formation after Star Birth / New Insights into Planet Formation from Public Data with New Imaging Technique: https://alma-telescope.jp/en/news/press/cradle-202506.html / https://www.nao.ac.jp/en/news/science/2025/20250624-alma.html

Inside the Vera C. Rubin Observatory, whose 3.2-gigapixel camera will produce 60PB of space image data over 10 years, to be analyzed using ML and deep learning (New York Times)
https://www.nytimes.com/2025/06/20/science…

How Vera Rubin Telescope Scientists Will Deal With 60 Million Billion Bytes of Imagery
The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.

New modeling of the stray light noise in the main arms of the Einstein Telescope
M. Andr\'es-Carcasona, J. Grandes Umbert, D. Gonz\'alez-Lociga, M. Mart\'inez, Ll. M. Mir, H. Yamamoto
https://arxiv.org/abs/2506.18083

New modeling of the stray light noise in the main arms of the Einstein Telescope
Stray light represents a significant noise source for gravitational wave detectors, requiring an accurate modeling and mitigation to preserve the experiment's sensitivity. In this article, we present an updated and improved analysis of the stray-light induced noise in the Einstein Telescope main arm. The results presented here supersede previous studies taking into account a number of improvements, including baffle clipping effects, new numerical calculations for computing diffraction contribut…

Tour 322: #SachsenAnhalt: #Bodewanderung Etappe 4: #Elbingerode - Kalktagebau Elbingerode - Talsperre Königshütte -

Sylwia Fiskars Dekiert, jako wytrawna dziennikarka sportowa, się nie męczy podczas prac ogrodowych, nie czuje zakwasów, bo taki sekator jest 3x silniejszy od niej 💪
A teleskopowy sekator o zasięgu do 6 metrów przycina najwyższe drzewa - i to za nią! (no prawie...)
Aha, zbliża się Dzień Matki, więc kupujcie swoim matkom narzędzia ogrodowe! Koniecznie #Fiskars 🙃

A Systematic Search for MeV-GeV Pulsar Wind Nebulae without Gamma-ray Detected Pulsars
Jordan Eagle, Daniel Castro, Wei Zhang, Diego Torres, Jean Ballet, The Fermi-LAT Collaboration
https://arxiv.org/abs/2506.18599

A Systematic Search for MeV-GeV Pulsar Wind Nebulae without Gamma-ray Detected Pulsars
An increasing number of pulsar wind nebulae (PWNe) are being identified in the TeV band by ground-based Imaging Air Cherenkov Telescopes such that they constitute the dominant source class of Galactic TeV emitters. However, MeV-GeV PWN counterparts are still largely lacking. To date, only a dozen PWNe are identified by the Fermi-Large Area Telescope (LAT) in the MeV-GeV band. Most PWNe are located along the Galactic plane embedded within the prominent, diffuse Galactic gamma-ray emission, which…

https://www.theregister.com/2025/06/24/vera_galaxy_camera

World's largest camera shows galaxy in 3,200 megapixel glory as Rubin telescope goes online
: 20TB of galactic shots a day, backed by Microsofties

Neutrino Telescope Event Classification on Quantum Computers
Pablo Rodriguez-Grasa, Pavel Zhelnin, Carlos A. Arg\"uelles, Mikel Sanz
https://arxiv.org/abs/2506.16530

Neutrino Telescope Event Classification on Quantum Computers
Quantum computers represent a new computational paradigm with steadily improving hardware capabilities. In this article, we present the first study exploring how current quantum computers can be used to classify different neutrino event types observed in neutrino telescopes. We investigate two quantum machine learning approaches, Neural Projected Quantum Kernels (NPQKs) and Quantum Convolutional Neural Networks (QCNNs), and find that both achieve classification performance comparable to classic…