Tootfinder

Formation Channels of Gravitationally Resolvable Double White Dwarf Binaries Inside Globular Clusters
Lucas Hellstr\"om, Miros{\l}aw Giersz, Abbas Askar, Arkadiusz Hypki, Yuetong Zhao, Youjun Lu, Siqi Zhang, Ver\'onica V\'azquez-Aceves, Grzegorz Wiktorowicz
https://arxiv.org/abs/2506.13122

Formation Channels of Gravitationally Resolvable Double White Dwarf Binaries Inside Globular Clusters
Current gravitational wave detectors are sensitive to coalescing black holes and neutron stars. However, double white dwarfs (DWDs) have long been recognized as promising sources of gravitational waves, and upcoming detectors like LISA will be able to observe these systems in abundance. DWDs are expected to be the dominant gravitational wave (GW) sources in parts of the LISA frequency range, making it crucial to understand their formation for future detections. The Milky Way contains many white…

Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches
Faruk Pasic, Lukas Eller, Stefan Schwarz, Markus Rupp, Christoph F. Mecklenbr\"auker
https://arxiv.org/abs/2506.11714

Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches
Future wireless multiple-input multiple-output (MIMO) systems will integrate both sub-6 GHz and millimeter wave (mmWave) frequency bands to meet the growing demands for high data rates. MIMO link establishment typically requires accurate channel estimation, which is particularly challenging at mmWave frequencies due to the low signal-to-noise ratio (SNR). In this paper, we propose two novel deep learning-based methods for estimating mmWave MIMO channels by leveraging out-of-band information fro…