Tootfinder

Deep JWST spectroscopy of galaxies in a candidate ionized bubble at $z = 8.7$: probing reionization at pMpc scales with Ly$\alpha$ emission
Lily Whitler, Daniel P. Stark, Charlotte A. Mason, Mengtao Tang, Zuyi Chen, Ting-Yi Lu, Gonzalo Prieto-Lyon, Anne Hutter
https://arxiv.org/abs/2510.12019

Deep JWST spectroscopy of galaxies in a candidate ionized bubble at $z = 8.7$: probing reionization at pMpc scales with Ly$α$ emission
Strong Ly$α$ emission observed from galaxies when the Universe is expected to be highly neutral is thought to trace large ionized regions that facilitate the transmission of Ly$α$ through the IGM. In this work, we use deep JWST Ly$α$ spectroscopy to constrain the size of a candidate ionized bubble at $z\sim8.7$ in the EGS field, with a potential radius of $R_b=2$ physical Mpc (pMpc) or larger. We measure a photometric galaxy density and find that the volume is a factor of $\sim2.5-3.6$ overd…

ACADATA: Parallel Dataset of Academic Data for Machine Translation
I\~naki Lacunza, Javier Garcia Gilabert, Francesca De Luca Fornaciari, Javier Aula-Blasco, Aitor Gonzalez-Agirre, Maite Melero, Marta Villegas
https://arxiv.org/abs/2510.12621

ACADATA: Parallel Dataset of Academic Data for Machine Translation
We present ACADATA, a high-quality parallel dataset for academic translation, that consists of two subsets: ACAD-TRAIN, which contains approximately 1.5 million author-generated paragraph pairs across 96 language directions and ACAD-BENCH, a curated evaluation set of almost 6,000 translations covering 12 directions. To validate its utility, we fine-tune two Large Language Models (LLMs) on ACAD-TRAIN and benchmark them on ACAD-BENCH against specialized machine-translation systems, general-purpos…

Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
https://arxiv.org/abs/2510.12763

Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective
Neurodegeneration, characterized by the progressive loss of neuronal structure or function, is commonly assessed in clinical practice through reductions in cortical thickness or brain volume, as visualized by structural MRI. While informative, these conventional approaches lack the statistical sophistication required to fully capture the spatially correlated and heterogeneous nature of neurodegeneration, which manifests both in healthy aging and in neurological disorders. To address these limit…

The PHANGS-MUSE/HST-Halpha Nebulae Catalogue
A. T. Barnes, R. Chandar, K. Kreckel, F. Belfiore, D. Pathak, D. Thilker, A. K. Leroy, B. Groves, S. C. O. Glover, R. McClain, A. Amiri, Z. Bazzi, M. Boquien, E. Congiu, D. A. Dale, O. V. Egorov, E. Emsellem, K. Grasha, J. Gonzalez Lobos, K. Henny, H. He, R. Indebetouw, J. C. Lee, J. Li, F. -H. Liang, K. Larson, D. Maschmann, S. E. Meidt, J. E. M\'endez-Delgado, J. Neumann, H. -A. Pan, M. Querejeta, E. Rosolowsky, S. K. Sarbadhicary, F. …

The PHANGS-MUSE/HST-Halpha Nebulae Catalogue
We present the PHANGS-MUSE/HST-Halpha nebulae catalogue, comprising 5177 spatially resolved nebulae across 19 nearby star-forming galaxies (< 20 Mpc), based on high-resolution Halpha imaging from HST, homogenised to a fixed 10 pc resolution and sensitivity. Combined with MUSE spectroscopy, this enables robust classification of 4882 H II regions and separation of planetary nebulae and supernova remnants. Electron densities for 2544 H II regions are derived using [S II] diagnostics, and nebular s…