Tootfinder

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Rav\`i, Daniel C. Alexander
https://arxiv.org/abs/2508.01292

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
Synthesizing amyloid PET scans from the more widely available and accessible structural MRI modality offers a promising, cost-effective approach for large-scale Alzheimer's Disease (AD) screening. This is motivated by evidence that, while MRI does not directly detect amyloid pathology, it may nonetheless encode information correlated with amyloid deposition that can be uncovered through advanced modeling. However, the high dimensionality and structural complexity of 3D neuroimaging data pose si…

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…

The LHCb Sprucing and Analysis Productions
Ahmed Abdelmotteleb, Alessandro Bertolin, Chris Burr, Ben Couturier, Ellinor Eckstein, Davide Fazzini, Nathan Grieser, Christophe Haen, Ryunosuke O'Neil, Eduardo Rodrigues, Nicole Skidmore, Mark Smith, Aidan R. Wiederhold, Shunan Zhang
https://arxiv.org/abs/2506.20309

The LHCb Sprucing and Analysis Productions
The LHCb detector underwent a comprehensive upgrade in preparation for the third data-taking run of the Large Hadron Collider (LHC), known as LHCb Upgrade I. The increased data rate of Run 3 not only posed data collection (Online) challenges but also significant Offline data processing and analysis ones. The offline processing and analysis model was consequently upgraded to handle the factor 30 increase in data volume and the associated demands of ever-growing analyst-level datasets, led by the…

Cryptographic Data Exchange for Nuclear Warheads
Neil Perry, Daniil Zhukov
https://arxiv.org/abs/2507.20074 https://arxiv.org/pdf/2507.20074

Cryptographic Data Exchange for Nuclear Warheads
Nuclear arms control treaties have historically focused on strategic nuclear delivery systems, leaving nuclear warheads outside formal verification frameworks. This paper presents a cryptographic protocol for secure and verifiable warhead tracking, addressing challenges in nuclear warhead verification without requiring intrusive physical inspections. Our system leverages commitment schemes and zero-knowledge succinct non-interactive arguments of knowledge (zkSNARKs) to ensure compliance with tr…

Replaced article(s) found for math.DS. https://arxiv.org/list/math.DS/new
[1/1]:
- Learning dynamical systems from data: Gradient-based dictionary optimization
Mohammad Tabish, Neil K. Chada, Stefan Klus

Diving into the planetary system of Proxima with NIRPS -- Breaking the metre per second barrier in the infrared
Alejandro Su\'arez Mascare\~no, \'Etienne Artigau, Lucile Mignon, Xavier Delfosse, Neil J. Cook, Fran\c{c}ois Bouchy, Ren\'e Doyon, Jonay I. Gonz\'alez Hern\'andez, Thomas Vandal, Izan de Castro Le\~ao, Atanas K. Stefanov, Jo\~ao Faria, Charles Cadieux, Pierrot Lamontagne, Fr\'ed\'erique Baron, Susana C. C. Barros, Bj\"orn Benneke, Xavier Bonf…

Diving into the planetary system of Proxima with NIRPS -- Breaking the metre per second barrier in the infrared
We obtained 420 high-resolution spectra of Proxima, over 159 nights, using the Near Infra Red Planet Searcher (NIRPS). We derived 149 nightly binned radial velocity measurements with a standard deviation of 1.69 m/s and a median uncertainty of 55 cm/s, and performed a joint analysis combining radial velocities, spectroscopic activity indicators, and ground-based photometry, to model the planetary and stellar signals present in the data, applying multi-dimensional Gaussian process regression to …

NGC 6860, Mrk 915 and MCG -01-24-012. I. Spatial anti-correlation between cold molecular and ionized gas distributions in Seyfert galaxies
Bruno Dall'Agnol de Oliveira, Thaisa Storchi-Bergmann, Neil Nagar, Santiago Garcia-Burillo, Rogemar A. Riffel, Dominika Wylezalek, Pranav Kukreti, Venkatessh Ramakrishnan
https://arxiv.org/abs/2507.…

NGC 6860, Mrk 915 and MCG -01-24-012. I. Spatial anti-correlation between cold molecular and ionized gas distributions in Seyfert galaxies
We present a study of the cold molecular versus the ionized gas distribution in three nearby Seyfert galaxies: NGC 6860, Mrk 915 and MCG -01-24-012. To constrain the cold molecular flux distribution at $\sim$ 0.5 - 0.8$^{\prime\prime}$ ($\sim$ 150 - 400 pc) scales, we used data from the CO(2-1) emission line, obtained with the Atacama Large Millimeter/submillimeter Array (ALMA). For the ionized gas, we used Hubble Space Telescope (HST) narrow-band images, centered on the [O III]$λλ$4959,5007 …

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- Machine Learning Systems: A Survey from a Data-Oriented Perspective
Christian Cabrera, Andrei Paleyes, Pierre Thodoroff, Neil D. Lawrence

phylo2vec: a library for vector-based phylogenetic tree manipulation
Neil Scheidwasser, Ayush Nag, Matthew J Penn, Anthony MV Jakob, Frederik M{\o}lkj{\ae}r Andersen, Mark P Khurana, Landung Setiawan, Madeline Gordon, David A Duch\^ene, Samir Bhatt
https://arxiv.org/abs/2506.19490

phylo2vec: a library for vector-based phylogenetic tree manipulation
Phylogenetics is a fundamental component of many analysis frameworks in biology as well as linguistics to study the evolutionary relationships of different entities. Recently, the advent of large-scale genomics and the SARS-CoV-2 pandemic has underscored the necessity for phylogenetic software to handle large datasets of genomes or phylogenetic trees. While significant efforts have focused on scaling optimisation algorithms, visualization, and lineage identification, an emerging body of researc…

Discovery and Localization of the Swift-Observed FRB 20241228A in a Star-forming Host Galaxy
Alice P. Curtin, Shion Andrew, Sunil Simha, Alice Cai, Kenzie Nimmo, Shami Chatterjee, Amanda M. Cook, Fengqiu Adam Dong, Yuxin Dong, Tarraneh Eftekhari, Wen-fai Fong, Emmanuel Fonseca, Jason W. T. Hessels, Ronniy C. Joseph, Victoria Kaspi, Calvin Leung, Robert Main, Kiyoshi W. Masui, Ryan Mckinven, Daniele Michilli, Mason Ng, Ayush Pandhi, Aaron B. Pearlman, Ziggy Pleunis, Mawson W. Sammons, K…

Discovery and Localization of the Swift-Observed FRB 20241228A in a Star-forming Host Galaxy
On 2024 December 28, CHIME/FRB detected the thus-far non-repeating FRB 20241228A with a real-time signal-to-noise ratio of $>50$. Approximately 112~s later, the X-ray Telescope onboard the Neil Gehrels Swift Observatory was on source, the fastest follow-up to-date of a non-repeating FRB (Tohuvavohu et al. in prep.). Using CHIME/FRB and two of the three CHIME/FRB Outriggers, we obtained a Very Long Baseline Interferometry localization for FRB 20241228A with a 1$σ$ confidence ellipse of 11$^{\pr…