Tootfinder

Discovery of an icy and nitrogen-rich extrasolar planetesimal
Snehalata Sahu, Boris T. G\"ansicke, Jamie T. Williams, Detlev G. Koester, Jay Farihi, Steven J. Desch, Nicola Pietro Gentile Fusillo, Dimitri Veras, Sean N. Raymond, Maria Teresa Belmonte
https://arxiv.org/abs/2509.13422

Discovery of an icy and nitrogen-rich extrasolar planetesimal
White dwarfs accreting planetary debris provide detailed insight into the bulk composition of rocky exo-planetesimals. However, only one Kuiper-Belt analogue has been identified in that way so far. Here, we report the accretion of an icy extra-solar planetesimal onto white dwarf WD 1647+375 using ultraviolet spectroscopy from the Hubble Space Telescope. The accreted material is rich in the volatiles carbon, nitrogen, and sulphur, with a chemical composition analogous to Kuiper-belt objects (KBO…

Spatially Resolved [O III] Emission Line Kinematics of Reverberation-Mapped AGNs with the Keck Cosmic Web Imager
Raymond P. Remigio, Vivian U, Aaron J. Barth, Nico Winkel, Vardha N. Bennert, Tommaso Treu, Matthew A. Malkan, Sebastian Contreras, Peter R. Williams, Jordan N. Runco, Liam Hunt
https://arxiv.org/abs/2508.14304

Spatially Resolved [O III] Emission Line Kinematics of Reverberation-Mapped AGNs with the Keck Cosmic Web Imager
We present optical integral-field spectroscopic data of ten nearby ($0.02\leq z \leq 0.05$) Seyfert 1 galaxies taken with the Keck Cosmic Web Imager (KCWI). We map the spatially resolved kinematics of the [O III] gas and stars, and investigate the alignments between their global kinematic position angles (PA). Large-scale gas motions are primarily dominated by rotation, and are kinematically aligned with the stars ($Δ\text{PA}\leq 30$ deg). However, eight galaxies exhibit non-rotational kinema…

Brain Tumor Segmentation in Sub-Sahara Africa with Advanced Transformer and ConvNet Methods: Fine-Tuning, Data Mixing and Ensembling
Toufiq Musah, Chantelle Amoako-Atta, John Amankwaah Otu, Lukman E. Ismaila, Swallah Alhaji Suraka, Oladimeji Williams, Isaac Tigbee, Kato Hussein Wabbi, Samantha Katsande, Kanyiri Ahmed Yakubu, Adedayo Kehinde Lawal, Anita Nsiah Donkor, Naeem Mwinlanaah Adamu, Adebowale Akande, John Othieno, Prince Ebenezer Adjei, Zhang Dong, Confidence Raymond, Udunna C.…

Brain Tumor Segmentation in Sub-Sahara Africa with Advanced Transformer and ConvNet Methods: Fine-Tuning, Data Mixing and Ensembling
Brain tumors are among the deadliest cancers worldwide, with particularly devastating impact in Sub-Saharan Africa (SSA) where limited access to medical imaging infrastructure and expertise often delays diagnosis and treatment planning. Accurate brain tumor segmentation is crucial for treatment planning, surgical guidance, and monitoring disease progression, yet manual segmentation is time-consuming and subject to inter-observer variability. Recent advances in deep learning, based on Convolutio…