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HAWC Collaboration(Albert, A. et al), Coutiño de Leon, S., & Salesa Greus, F. (2025). The first 10 years of the HAWC Gamma-Ray Observatory: science results. Rev. Mex. Astron. Astrofis., 61, 261–299.
Abstract: The High-Altitude Water Cherenkov (HAWC) Observatory, located on the slopes of the Sierra Negra volcano in Mexico, began operations in March 2015. Over the past decade, HAWC has enabled the exploration of a broad range of topics in high-energy astrophysics and particle physics, resulting in more than 90 peer-reviewed publications. These studies have significantly advanced our understanding of several previously unexplored and poorly understood phenomena in the TeV energy regime. The present work provides an overview of the key scientific contributions of HAWC during its first ten years of operation.
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Aehle, M. et al, & Ruiz de Austri, R. (2025). Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming. Rev. Phys., 13, 100120–38pp.
Abstract: In this article we examine recent developments in the research area concerning the creation of end-to-end models for the complete optimization of measuring instruments. The models we consider rely on differentiable programming methods and on the specification of a software pipeline including all factors impacting performance – from the data-generating processes to their reconstruction and the extraction of inference on the parameters of interest of a measuring instrument – along with the careful specification of a utility function well aligned with the end goals of the experiment. Building on previous studies originated within the MODE Collaboration, we focus specifically on applications involving instruments for particle physics experimentation, as well as industrial and medical applications that share the detection of radiation as their data-generating mechanism.
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Valiente-Dobon, J. J., Clement, E., Goasduff, A., Wimmer, K., & Zielinska, M. (2025). AGATA: A Journey Through γ-Ray Spectroscopy. Nucl. Phys. News, 35, 12–15.
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Folgado, M. G., Sanz, V., Hirn, J., Lorenzo-Saez, E., & Urchueguia, J. (2025). Deep learning for urban air quality: a traffic-based prediction and alert system for Valencia. Neural Comput. Appl., 37, 15837–15854.
Abstract: Urban traffic congestion is a critical issue with significant implications for mobility and urban planning. In this study, we develop a real-time predictive alarm system capable of forecasting whether a street is likely to experience unusually high traffic within the next 30 min. The system classifies road segments into three alert levels based on traffic data updated every 10 min, providing timely information that can support decision-making in traffic management. The prediction model is built using deep learning techniques trained on a whole year of traffic data in the city of Valencia, and tested with the following year’s data. We evaluated different neural network architectures, including long short-term memory (LSTM) networks, an extended LSTM variant (xLSTM), and Graph Neural Networks (GNNs). Our results show that LSTM provides the best balance between accuracy and computational efficiency, making it the most suitable model for real-time deployment. In addition to traffic data, we incorporate meteorological variables such as wind speed, wind direction, and precipitation to explore their potential impact on traffic dynamics. Although the relationship between traffic and environmental conditions warrants further study, this work demonstrates the feasibility of using real-time predictions to improve urban mobility strategies. The proposed system offers a data-driven approach that can be integrated into broader traffic management frameworks to improve efficiency and responsiveness.
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LHCb Collaboration(Aaij, R. et al), Fernandez Casani, A., Jaimes Elles, S. J., Jashal, B. K., Libralon, S., Martinez-Vidal, F., et al. (2025). Measurements of charmed meson and antimeson production asymmetries at √s=13.6 TeV. J. High Energy Phys., 10(10), 050–42pp.
Abstract: This article presents doubly differential measurements of the asymmetries in production rates between mesons containing a charm quark and those containing an anticharm quark in proton-proton collisions at a centre-of-mass energy of s√=13.6 TeV using data recorded by the LHCb experiment. The asymmetries of D0, D+ and D+s mesons are measured for two-dimensional intervals in transverse momentum and pseudorapidity, within the range 2.5<pT<25.0 GeV/c and 2.0<η<4.5. No significant production asymmetries are observed. Comparisons to the Pythia 8 and Herwig 7 event generators are also presented, and their agreement with the data is evaluated. These measurements constitute the first measurements of production asymmetries at this centre-of-mass energy of colliding beams, and the first measurements with the LHCb Run 3 detector.
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