Tootfinder

Assessing interstellar comet 3I/ATLAS with the 10.4 m Gran Telescopio Canarias and the Two-meter Twin Telescope
R. de la Fuente Marcos, J. Licandro, M. R. Alarcon, M Serra-Ricart, J. de Leon, C. de la Fuente Marcos, G. Lombardi, A. Tejero, A. Cabrera-Lavers, S. Guerra Arencibia, I. Ruiz Cejudo
https://arxiv.org/abs/2507.12922

Assessing interstellar comet 3I/ATLAS with the 10.4 m Gran Telescopio Canarias and the Two-meter Twin Telescope
Context. Theories of the formation and evolution of small bodies in planetary systems predict that they may escape into interstellar space at any time. After having characterized just two such interlopers -1I/2017 U1 (Oumuamua) and 2I/Borisov more questions were raised than answered. Assessing the recently discovered interstellar comet 3I/ATLAS will only broaden our understanding of this complex topic. Aims. Here, we investigate the spectral, cometary, and rotational properties of 3I/ATLAS as…

Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb
Laura Boggia, Carlos Cocha, Fotis Giasemis, Joachim Hansen, Patin Inkaew, Kaare Endrup Iversen, Pratik Jawahar, Henrique Pineiro Monteagudo, Micol Olocco, Sten Astrand, Martino Borsato, Leon Bozianu, Steven Schramm, the SMARTHEP Network

Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb
The field of high energy physics (HEP) has seen a marked increase in the use of machine learning (ML) techniques in recent years. The proliferation of applications has revolutionised many aspects of the data processing pipeline at collider experiments including the Large Hadron Collider (LHC). In this whitepaper, we discuss the increasingly crucial role that ML plays in real-time analysis (RTA) at the LHC, namely in the context of the unique challenges posed by the trigger systems of the large …

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025
Zonghao Ying, Siyang Wu, Run Hao, Peng Ying, Shixuan Sun, Pengyu Chen, Junze Chen, Hao Du, Kaiwen Shen, Shangkun Wu, Jiwei Wei, Shiyuan He, Yang Yang, Xiaohai Xu, Ke Ma, Qianqian Xu, Qingming Huang, Shi Lin, Xun Wang, Changting Lin, Meng Han, Yilei Jiang, Siqi Lai, Yaozhi Zheng, Yifei Song, Xiangyu Yue, Zonglei Jing, Tianyuan Zhang, Zhilei Zhu, Aishan Liu, Jiakai Wang, Siyuan Liang, Xianglong Kong, Hainan Li, …

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025
Multimodal Large Language Models (MLLMs) have enabled transformative advancements across diverse applications but remain susceptible to safety threats, especially jailbreak attacks that induce harmful outputs. To systematically evaluate and improve their safety, we organized the Adversarial Testing & Large-model Alignment Safety Grand Challenge (ATLAS) 2025}. This technical report presents findings from the competition, which involved 86 teams testing MLLM vulnerabilities via adversarial image-…

Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Piotr Kica, Sabina Licho{\l}ai, Micha{\l} Orzechowski, Maciej Malawski
https://arxiv.org/abs/2506.12611

Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
In this work, we explore the Transcriptomics Atlas pipeline adapted for cost-efficient and high-throughput computing in the cloud. We propose a scalable, cloud-native architecture designed for running a resource-intensive aligner -- STAR -- and processing tens or hundreds of terabytes of RNA-sequencing data. We implement multiple optimization techniques that give significant execution time and cost reduction. The impact of particular optimizations is measured in medium-scale experiments followe…

A timelapse of #interstellar comet ATLAS in the sky from the VLT: https://www.youtube.com/watch?v=IXJ221XXPvM. And there are already three papers: https://arxiv.org/abs/2507.02757 (Discovery and Preliminary Characterization of a Third Interstellar Object: 3I/ATLAS), https://arxiv.org/abs/2507.05252 (Interstellar comet 3I/ATLAS: discovery and physical description) and https://arxiv.org/abs/2507.05226 (Initial VLT/MUSE spectroscopy of the interstellar object 3I/ATLAS).

ADPv2: A Hierarchical Histological Tissue Type-Annotated Dataset for Potential Biomarker Discovery of Colorectal Disease
Zhiyuan Yang, Kai Li, Sophia Ghamoshi Ramandi, Patricia Brassard, Hakim Khellaf, Vincent Quoc-Huy Trinh, Jennifer Zhang, Lina Chen, Corwyn Rowsell, Sonal Varma, Kostas Plataniotis, Mahdi S. Hosseini
https://ar…

ADPv2: A Hierarchical Histological Tissue Type-Annotated Dataset for Potential Biomarker Discovery of Colorectal Disease
Computational pathology (CoPath) leverages histopathology images to enhance diagnostic precision and reproducibility in clinical pathology. However, publicly available datasets for CoPath that are annotated with extensive histological tissue type (HTT) taxonomies at a granular level remain scarce due to the significant expertise and high annotation costs required. Existing datasets, such as the Atlas of Digital Pathology (ADP), address this by offering diverse HTT annotations generalized to mul…

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder
Xinxu Wei, Kanhao Zhao, Yong Jiao, Lifang He, Yu Zhang
https://arxiv.org/abs/2506.02044

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder
As large language models (LLMs) continue to revolutionize AI research, there is a growing interest in building large-scale brain foundation models to advance neuroscience. While most existing brain foundation models are pre-trained on time-series signals or region-of-interest (ROI) features, we propose a novel graph-based pre-training paradigm for constructing a brain graph foundation model. In this paper, we introduce the Brain Graph Foundation Model, termed BrainGFM, a unified framework that …

Discovery and Preliminary Characterization of a Third Interstellar Object: 3I/ATLAS
Darryl Z. Seligman, Marco Micheli, Davide Farnocchia, Larry Denneau, John W. Noonan, Toni Santana-Ros, Luca Conversi, Maxime Devog\`ele, Laura Faggioli, Adina D. Feinstein, Marco Fenucci, Tessa Frincke, Olivier R. Hainaut, Willem B. Hoogendam, Henry H. Hsieh, Theodore Kareta, Michael S. P. Kelley, Tim Lister, Du\v{s}an Mar\v{c}eta, Karen J. Meech, Francisco Oca\~na, Eloy Pe\~na-Asensio, Benjamin J. Shap…

Discovery and Preliminary Characterization of a Third Interstellar Object: 3I/ATLAS
We report initial observations aimed at the characterization of a third interstellar object candidate. This object, 3I/ATLAS -- also C/2025 N1 (ATLAS) -- , was discovered on 2025 July 1 UT and has an orbital eccentricity of $e\sim6.2$, perihelion of $q\sim 1.35$ au, inclination of $\sim175^\circ$, and hyperbolic velocity of $V_\infty\sim 60$ km s$^{-1}$. 3I/ATLAS has an absolute magnitude of $H_V\sim12$, which corresponds to a nuclear radius of $\sim10\text{ km}$, assuming an asteroid-like albe…

X-ray Irradiation Studies on the Monopix DMAPS in 150$\,$nm and 180$\,$nm
Christian Bespin, Marlon Barbero, Pierre Barrillon, Patrick Breugnon, Ivan Caicedo, Yavuz Degerli, Jochen Dingfelder, Tomasz Hemperek, Toko Hirono, Hans Kr\"uger, Fabian H\"ugging, Konstantinos Moustakas, Patrick Pangaud, Heinz Pernegger, Petra Riedler, Piotr Rymaszewski, Lars Schall, Philippe Schwemling, Walter Snoeys, Tianyang Wang, Norbert Wermes, Sinou Zhang

X-ray Irradiation Studies on the Monopix DMAPS in 150$\,$nm and 180$\,$nm
Monolithic active pixel sensors with depleted substrates present a promising option for pixel detectors in high-radiation environments. High-resistivity silicon substrates and high bias voltage capabilities in commercial CMOS technologies facilitate depletion of the charge sensitive volume. TJ-Monopix2 and LF-Monopix2 are the most recent large-scale chips in their respective development line, aiming for the ATLAS Inner Tracker outer layer requirements. Those include a tolerance to ionizing radi…

Vom 12. bis 14. Juli fand im Fediverse wieder das "Canvas"-Event statt, bei dem User*innen Pixel auf einer weißen Fläche platzieren konnten.
Im Atlas kann man sich nicht nur das Endresultat ansehen, sondern auch Infos zu den einzelnen Kunstwerken durchlesen:
#canvas #canvas2025 #Fediverse #fediverseevents #rplace