Tootfinder

Silicon pinhole strip defects and their impact on ATLAS Inner Tracker HV current measurement
Anthony Affolder, Kirsten Affolder, Emily Duden, Vitaliy Fadeyev, Cole Helling, David Lynn, Forest Martinez-Mckinney, Peter Phillips, Luise Poley, Tate Sakaguchi, Abdullah Sayed, Stefania Stucci, Alex Wang, Marcus Wong
https://arxiv.org/abs/2509.26…

Silicon pinhole strip defects and their impact on ATLAS Inner Tracker HV current measurement
In preparation for the High-Luminsoity LHC (HL-LHC), the ATLAS detector will undergo major detector upgrades, including the replacement of the current Inner Detector with the new all-silicon Inner Tracker (ITk). The ITk consists of a pixel detector close to the beamline surrounded by a large-area strip detector. During detector production, the electrical properties of silicon sensors and readout electronics must be characterized through a series of quality control (QC) and quality assurance tes…

Crosslisted article(s) found for cs.CG. https://arxiv.org/list/cs.CG/new
[1/1]:
- PFDepth: Heterogeneous Pinhole-Fisheye Joint Depth Estimation via Distortion-aware Gaussian-Splat...
Zhiwei Zhang, Ruikai Xu, Weijian Zhang, Zhizhong Zhang, Xin Tan, Jingyu Gong, Yuan Xie, Lizhuang Ma

PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era
Xu Zheng, Chenfei Liao, Ziqiao Weng, Kaiyu Lei, Zihao Dongfang, Haocong He, Yuanhuiyi Lyu, Lutao Jiang, Lu Qi, Li Chen, Danda Pani Paudel, Kailun Yang, Linfeng Zhang, Luc Van Gool, Xuming Hu
https://arxiv.org/abs/2509.12989

PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era
Omnidirectional vision, using 360-degree vision to understand the environment, has become increasingly critical across domains like robotics, industrial inspection, and environmental monitoring. Compared to traditional pinhole vision, omnidirectional vision provides holistic environmental awareness, significantly enhancing the completeness of scene perception and the reliability of decision-making. However, foundational research in this area has historically lagged behind traditional pinhole vi…

Efficient integration of self-assembled organic monolayer tunnel barriers in large area pinhole-free magnetic tunnel junctions
Maryam S. Dehaghani, Sophie Gu\'ezo Aguinet, Arnaud Le Pottier, Soraya Ababou-Girard, Rozenn Bernard, Sylvain Tricot, Philippe Schieffer, Bruno L\'epine, Francine Solal, Pascal Turban
https://arxiv.org/abs/…

Efficient integration of self-assembled organic monolayer tunnel barriers in large area pinhole-free magnetic tunnel junctions
Magneto-transport properties in hybrid magnetic tunnel junctions (MTJs) integrating self-assembled monolayers (SAMs) as tunnel barriers are critically influenced by spinterface effects, which arise from the electronic properties at ferromagnet (FM)/SAM interfaces. Understanding the mechanisms governing spinterface formation in well-controlled model systems is essential for the rational design of efficient molecular spintronic devices. However, the fabrication of FM/SAM/FM systems remains a sign…

Magnetic-field dependent vortex dynamics and critical currents in superconducting microwires with regular large-area perforation by pinholes
Dong Zhu, Ilya Charaev, Konstantin Ilin, Andreas Schilling
https://arxiv.org/abs/2509.23404

Magnetic-field dependent vortex dynamics and critical currents in superconducting microwires with regular large-area perforation by pinholes
We report on results of simulations and experiments of vortex states in superconducting micro-wires with periodic rectangular pinhole structures. The simulations have been performed by means of numerically solving the time-dependent Ginzburg-Landau (TDGL) equations. With increasing bias current and for different values of the external magnetic field applied normal to the structure plane, we observe at first a vortex free Meissner state, followed by a resistive vortex-flow mixed state and a stat…

#askfedi is there any way to block everything from Google with ublock origin? I know about no Google blocklist that only work with tools like pinhole.
#degoogle #ublockorigin

LabelImg: CNN-Based Surface Defect Detection
Mohsen Asghari Ilani, Yaser Mike Banad
https://arxiv.org/abs/2509.05813 https://arxiv.org/pdf/2509.05813

LabelImg: CNN-Based Surface Defect Detection
In the journey of computer vision system development, the acquisition and utilization of annotated images play a central role, providing information about object identity, spatial extent, and viewpoint in depicted scenes. However, thermal manufacturing processes like Laser Powder Bed Fusion (LPBF) often yield surfaces with defects such as Spatter, Crack, Pinhole, and Hole due to the Balling phenomenon. Preprocessing images from LPBF, riddled with defects, presents challenges in training machine…