Tootfinder

Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery
Licong Xu, Milind Sarkar, Anto I. Lonappan, \'I\~nigo Zubeldia, Pablo Villanueva-Domingo, Santiago Casas, Christian Fidler, Chetana Amancharla, Ujjwal Tiwari, Adrian Bayer, Chadi Ait Ekiou, Miles Cranmer, Adrian Dimitrov, James Fergusson, Kahaan Gandhi, Sven Krippendorf, Andrew Laverick, Julien Lesgourgues, Antony Lewis, Thomas Meier, Blake Sherwin, Kristen Surrao, Francisco Villaescu…

Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery
We present a multi-agent system for automation of scientific research tasks, cmbagent. The system is formed by about 30 Large Language Model (LLM) agents and implements a Planning & Control strategy to orchestrate the agentic workflow, with no human-in-the-loop at any point. Each agent specializes in a different task (performing retrieval on scientific papers and codebases, writing code, interpreting results, critiquing the output of other agents) and the system is able to execute code locally.…

CASSTOR: a scientific and technology nanosatellite demonstrator for UV spectropolarimetry
Coralie Neiner, Vincent Lapeyrere, Eitan Pechevis, Claude Catala, Boris Segret, Feliu Lacreu, Rashika Jain, Jean-Michel Reess, Frederic Esteve, Charles-Antoine Chevrier, Jean-Luc Le Gal, Laurent Doumic, Adrien Saada, Maelle Le Gal, Olivier Dupuis, Alexandre Dupuy, Jean-Francois Aubrun, Romain Pinede, Aurelien Ledot, Andre Laurens, Tristan Buey

CASSTOR: a scientific and technology nanosatellite demonstrator for UV spectropolarimetry
In the context of the development of several space mission projects for UV spectropolarimetry at high resolution and over a wide UV wavelength range, such as Arago, Polstar, and Pollux onboard the Habitable Worlds Observatory, we are studying and developing the UV nanosatellite CASSTOR to obtain the very first UV spectropolarimetric observations of hot stars and test several new technologies, in particular a UV polarimeter and a Fine Guiding System. In this paper, we present the work and outcom…

Unmasking real-world audio deepfakes: A data-centric approach
David Combei, Adriana Stan, Dan Oneata, Nicolas M\"uller, Horia Cucu
https://arxiv.org/abs/2506.09606

Unmasking real-world audio deepfakes: A data-centric approach
The growing prevalence of real-world deepfakes presents a critical challenge for existing detection systems, which are often evaluated on datasets collected just for scientific purposes. To address this gap, we introduce a novel dataset of real-world audio deepfakes. Our analysis reveals that these real-world examples pose significant challenges, even for the most performant detection models. Rather than increasing model complexity or exhaustively search for a better alternative, in this work w…

Ten Essential Guidelines for Building High-Quality Research Software
Nasir U. Eisty, David E. Bernholdt, Alex Koufos, David J. Luet, Miranda Mundt
https://arxiv.org/abs/2507.16166

Ten Essential Guidelines for Building High-Quality Research Software
High-quality research software is a cornerstone of modern scientific progress, enabling researchers to analyze complex data, simulate phenomena, and share reproducible results. However, creating such software requires adherence to best practices that ensure robustness, usability, and sustainability. This paper presents ten guidelines for producing high-quality research software, covering every stage of the development lifecycle. These guidelines emphasize the importance of planning, writing cle…

SPAN: A cross-platform Python GUI software for optical and near-infrared spectral analysis
Daniele Gasparri, Lorenzo Morelli, Umberto Battino, Jairo M\'endez Abreu, Adriana de Lorenzo-C\'aceres
https://arxiv.org/abs/2508.01923

SPAN: A cross-platform Python GUI software for optical and near-infrared spectral analysis
The increasing availability of high-quality optical and near-infrared spectroscopic data, as well as advances in modelling techniques, have greatly expanded the scientific potential of spectroscopic studies. However, the software tools needed to fully exploit this potential often remain fragmented across multiple specialised packages, requiring scripting skills and manual integration to handle complex workflows. In this paper we present SPAN (SPectral ANalysis), a cross-platform, Python-based G…