Tootfinder

On beam characterization of ground-based CMB radio telescopes using UAV-mounted sources: application to the QUIJOTE TFGI and plans for LSPE-Strip
Fabio Paonessa, Lorenzo Ciorba, Giuseppe Addamo, Paz Alonso-Arias, Barbara Caccianiga, Marco Bersanelli, Francesco Cuttaia, Cristian Franceschet, Ricardo Tanausu Genova Santos, Massimo Gervasi, Roger Hoyland, Mike Jones, Carlos Hugo Lopez-Caraballo, Mauro Lumia, Michele Maris, Aniello Mennella, Gianluca Morgante, Oscar Antonio Peverini, Sabri…

On beam characterization of ground-based CMB radio telescopes using UAV-mounted sources: application to the QUIJOTE TFGI and plans for LSPE-Strip
The Large Scale Polarization Explorer (LSPE) project, funded by the Italian Space Agency (ASI), includes the development of LSPE-Strip, a ground-based radio telescope for observing Cosmic Microwave Background (CMB) anisotropies. LSPE-Strip, nearing its construction phase, will operate from the Teide Observatory in Tenerife, employing 49 coherent polarimeters at 43 GHz to deliver critical data on CMB anisotropies and 6 channels at 95 GHz as atmospheric monitor. On-site characterization of such a…

A Conceptual Framework for AI Capability Evaluations
Mar\'ia Victoria Carro, Denise Alejandra Mester, Francisca Gauna Selasco, Luca Nicol\'as Forziati Gangi, Matheo Sandleris Musa, Lola Ramos Pereyra, Mario Leiva, Juan Gustavo Corvalan, Mar\'ia Vanina Martinez, Gerardo Simari
https://arxiv.org/abs/2506.18213

A Conceptual Framework for AI Capability Evaluations
As AI systems advance and integrate into society, well-designed and transparent evaluations are becoming essential tools in AI governance, informing decisions by providing evidence about system capabilities and risks. Yet there remains a lack of clarity on how to perform these assessments both comprehensively and reliably. To address this gap, we propose a conceptual framework for analyzing AI capability evaluations, offering a structured, descriptive approach that systematizes the analysis of …

Frustrated edge currents in bilayers formed of s- and d-wave superconductors
Vedangi Pathak, Oguzhan Can, Nirek Brahmbhatt, Marcel Franz
https://arxiv.org/abs/2506.21482

Frustrated edge currents in bilayers formed of s- and d-wave superconductors
We explore edge currents in heterostructures formed of a high-$T_c$ cuprate and a conventional $s$-wave superconductors. The resulting $d\pm is$ superconductor spontaneously breaks time reversal symmetry and, remarkably, exhibits large edge currents along certain edge directions in spite of being topologically trivial. In addition we find that the edge currents are frustrated such that they appear to emerge from or flow into sample corners, seemingly violating charge conservation. Careful self-…

Why I hate forums that lack threading?
Because it make it hard to see who is replying to whom.
Take this screenshot for example. Is the third message show a reply to the second of the first?
For the forth message it's a bit clearer from context, but still easy to get wrong.

Sinto mais orgulho de ser português quando vejo isto do que quando a seleção ganha campeonatos, francamente.
Isto é um Homem. Com H grande.
https://bsky.brid.gy/r/https://bsky.app/profile/did:plc:bbp2b224lro3bfnzcqwwnkfo/post/3lr6lops…

Voltage-Controlled Oscillator and Memristor-Based Analog Computing for Solving Systems of Linear Equations
Hao Li, Rizwan S. Peerla, Frank Barrows, Francesco Caravelli, Bibhu Datta Sahoo
https://arxiv.org/abs/2506.09392

Voltage-Controlled Oscillator and Memristor-Based Analog Computing for Solving Systems of Linear Equations
Matrix computations have become increasingly significant in many data-driven applications. However, Moores law for digital computers has been gradually approaching its limit in recent years. Moreover, digital computers encounter substantial complexity when performing matrix computations and need a long time to finish the computations, and existing analog matrix computation schemes require a large chip area and power consumption. This paper proposes a linear algebra system of equations based on …

Multi-Objective Neural Network Assisted Design Optimization of Soft Fin-Ray Grippers for Enhanced Grasping Performance
Ali Ghanizadeh, Ali Ahmadi, Arash Bahrami
https://arxiv.org/abs/2506.00494

Multi-Objective Neural Network Assisted Design Optimization of Soft Fin-Ray Grippers for Enhanced Grasping Performance
Soft Fin-Ray grippers can perform delicate and careful manipulation, which has caused notable attention in different fields. These grippers can handle objects of various forms and sizes safely. The internal structure of the Fin-Ray finger plays a significant role in its adaptability and grasping performance. However, modeling the non-linear grasp force and deformation behaviors for design purposes is challenging. Moreover, when the Fin-Ray finger becomes more rigid and capable of exerting highe…