Tootfinder

Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing
Yuito Ito, Tomoaki Niiyama, Tetsuya Asai, Gouhei Tanaka, Atsushi Uchida, Satoshi Sunada
https://arxiv.org/abs/2510.10404

Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing
The detection of ultrafast optical and radio-frequency (RF) signals is crucial for applications ranging from high-speed communications to advanced sensing. However, conventional detectors are fundamentally constrained by their intrinsic bandwidth, limiting accurate broadband signal measurement. Here, we show that a neuromorphic photonic processing approach can overcome this limitation, enabling accurate broadband signal detection beyond the detector bandwidth. The key idea lies in the spatiotem…

Impact of projection-induced optical selection bias on the weak lensing mass calibration of galaxy clusters
Titus Nyarko Nde, Hao-Yi Wu, Shulei Cao, Gladys Muthoni Kamau, Andrius Tamosiunas, Chun-Hao To, Conghao Zhou
https://arxiv.org/abs/2510.00753

Impact of projection-induced optical selection bias on the weak lensing mass calibration of galaxy clusters
Weak gravitational lensing signals of optically identified clusters are impacted by a selection bias -- halo triaxiality and large-scale structure along the line of sight simultaneously boost the lensing signal and richness (the inferred number of galaxies associated with a cluster). As a result, a cluster sample selected by richness has a mean lensing signal higher than expected from its mean mass, and the inferred mass will be biased high. This selection bias is currently limiting the accurac…

Voltage-sensitive distribution factors for contingency analysis and topology optimization
Maurizio Titz, Dirk Witthaut, Joost van Dijk, Benjamin Petrick, Nico Westerbeck
https://arxiv.org/abs/2509.19976

Voltage-sensitive distribution factors for contingency analysis and topology optimization
Topology optimization is a promising approach for mitigating congestion and managing changing grid conditions, but it is computationally challenging and requires approximations. Conventional distribution factors like PTDFs and LODFs, based on DC power flow, fail to capture voltage variations, reactive power, and losses - limiting their use in detailed optimization tasks such as busbar splitting. This paper introduces generalized distribution factors derived from a voltage-sensitive linearizatio…