Tootfinder

A large, chemically enriched, neutral gas reservoir in a galaxy at z = 6.782
A. Saccardi, S. D. Vergani, L. Izzo, V. D'Elia, K. E. Heintz, A. De Cia, D. B. Malesani, J. T. Palmerio, P. Petitjean, S. Savaglio, N. R. Tanvir, R. Salvaterra, R. Brivio, S. Campana, L. Christensen, S. Covino, J. P. U. Fynbo, D. H. Hartmann, C. Konstantopoulou, A. J. Levan, A. Martin-Carrillo, A. Melandri, L. Piro, G. Pugliese, P. Schady, B. Schneider

A large, chemically enriched, neutral gas reservoir in a galaxy at z = 6.782
The chemical characterization of galaxies in the first billion years after the Big Bang is one of the central goals of current astrophysics. Optical/near-infrared spectroscopy of long gamma-ray bursts (GRBs) have been heralded as an effective diagnostic to probe the interstellar medium of their host galaxies and their metal and dust content, up to the highest redshift. An opportunity to fulfill this expectation was provided by the recent blast triggered by the Neil Gehrels Swift Observatory of …

The 157-month Swift-BAT All-Sky Hard X-Ray Survey
Amy Y. Lien, Hans Krimm, Craig Markwardt, Kyuseok Oh, Lea Marcotulli, Richard Mushotzky, Nicholas R. Collins, Scott Barthelmy, Wayne H. Baumgartner, S. Bradley Cenko, Michael Koss, Sibasish Laha, Takanori Sakamoto, David Palmer, Tyler Parsotan
https://arxiv.org/abs/2506.04109

The 157-month Swift-BAT All-Sky Hard X-Ray Survey
The Burst Alert Telescope (BAT) onboard the Neil Gehrels Swift observatory has been serving as a survey instrument for the hard X-ray sky, and has detected thousands of X-ray sources (e.g., AGNs, X-ray binaries, etc). BAT monitors these X-ray sources and follows their light curves on time scales from minutes to years. In addition, BAT discovers hundreds of new X-ray sources in survey images stacked throughout the mission lifetime. We present the updated BAT survey catalog since the last publish…

Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation
Nikola L. Kolev, Max Trouton, Filippo Federici Canova, Geoff Thornton, David Z. Gao, Neil J. Curson, Taylor J. Z. Stock
https://arxiv.org/abs/2506.01678

Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation
Scanning tunnelling microscopy (STM) is a powerful technique for imaging surfaces with atomic resolution, providing insight into physical and chemical processes at the level of single atoms and molecules. A regular task of STM image analysis is the identification and labelling of features of interest against a uniform background. Performing this manually is a labour-intensive task, requiring significant human effort. To reduce this burden, we propose an automated approach to the segmentation of…

Reduced and mixed precision turbulent flow simulations using explicit finite difference schemes
B\'alint Sikl\'osi, Pushpender K. Sharma, David J. Lusher, Istv\'an Z. Reguly, Neil D. Sandham
https://arxiv.org/abs/2505.20911

Reduced and mixed precision turbulent flow simulations using explicit finite difference schemes
The use of reduced and mixed precision computing has gained increasing attention in high-performance computing (HPC) as a means to improve computational efficiency, particularly on modern hardware architectures like GPUs. In this work, we explore the application of mixed precision arithmetic in compressible turbulent flow simulations using explicit finite difference schemes. We extend the OPS and OpenSBLI frameworks to support customizable precision levels, enabling fine-grained control over pr…