Tootfinder

A Methodological Framework for LLM-Based Mining of Software Repositories
Vincenzo De Martino, Joel Casta\~no, Fabio Palomba, Xavier Franch, Silverio Mart\'inez-Fern\'andez
https://arxiv.org/abs/2508.02233

A Methodological Framework for LLM-Based Mining of Software Repositories
Large Language Models (LLMs) are increasingly used in software engineering research, offering new opportunities for automating repository mining tasks. However, despite their growing popularity, the methodological integration of LLMs into Mining Software Repositories (MSR) remains poorly understood. Existing studies tend to focus on specific capabilities or performance benchmarks, providing limited insight into how researchers utilize LLMs across the full research pipeline. To address this gap,…

Detecting and Correcting Gain Jumps in TES Microcalorimeters
Thomas A. Baker, Daniel T. Becker, Joseph W. Fowler, Mark W. Keller, Daniel S. Swetz, Joel N. Ullom
https://arxiv.org/abs/2509.04675

Detecting and Correcting Gain Jumps in TES Microcalorimeters
Arrays of microcalorimeters based on transition-edge sensors (TESs) are being actively deployed to laboratories all over the world. A TES microcalorimeter array produces very large quantities of data and users of these devices have varying levels of experience, so it is important to provide robust software for data acquisition and analysis that can function with minimal user supervision. This software should be capable of addressing common phenomena that can adversely affect spectrum quality. G…

AutoWISP: Automated Processing of Wide-Field Color Images
Angel E. Romero, Kaloyan Penev, S. Javad Jafarzadeh, Zoltan Csubry, Joel D. Hartman, Gaspar A. Bakos
https://arxiv.org/abs/2507.15830

AutoWISP: Automated Processing of Wide-Field Color Images
We have developed a software pipeline, AutoWISP, for extracting high-precision photometry from citizen scientists' observations made with consumer-grade color digital cameras (digital single-lens reflex, or DSLR, cameras), based on our previously developed tool, AstroWISP. The new pipeline is designed to convert these observations, including color images, into high-precision light curves of stars. We outline the individual steps of the pipeline and present a case study using a Sony-alpha 7R II …