Tootfinder

CFP: 2026 Gods and Monsters Conference at Texas State University
https://ift.tt/8Q3Emp9
REPOSTING: Lecture by Wiebke Denecke (MIT) on ‘How Can We Leverage Our Cultural Wiring Around Nature…
via Input 4 RELCFP

Flavor physics at high-energy muon colliders
Alfredo Glioti, David Marzocca, Andrea Wulzer
https://arxiv.org/abs/2509.08132 https://arxiv.org/pdf/2509.0813…

Flavor physics at high-energy muon colliders
Flavor-breaking interactions due to heavy new physics can be probed at a 10 TeV muon collider in the high-energy production of quarks and leptons. The high collision energy mitigates the suppression of the new interactions, offering sensitivity to interaction scales well above 100 TeV both in the lepton and in the quark sector. We investigate all possible deformations of the Standard Model that produce quadratic growth with energy of the four-fermion scattering amplitudes at the muon collider, …

RFK Jr, who doesn't have a medical degree, says he can diagnose children just by just looking at them (Ariana Baio/The Independent)
https://www.independent.co.uk/news/world/americas/us-politics/rfk-jr-children-health-diagnose-no-medical-degree-b2815849.html
http://www.memeorandum.com/250828/p45#a250828p45

Investigation of Low-Energy Particle Remnants in High-Energy Collisions at the LHC with a Skipper-CCD detector
Brenda A. Cervantes-Vergara, Santiago E. Perez, Nicola Bacchetta, Nuria Castello-Mor, Juan Estrada, Marcos Fernandez Garcia, Petra Merkel, Maria Perez Martinez, Dario Rodrigues, Javier Tiffenberg, Rocio Vilar Cortabitarte
https://…

Investigation of Low-Energy Particle Remnants in High-Energy Collisions at the LHC with a Skipper-CCD detector
We deployed MOSKITA $\sim$33 m away from the CMS collision point, the first skipper-CCD detector probing low-energy particles produced in high-energy collisions at the Large Hadron Collider (LHC). In this work, we search for beam-related events using data collected in 2024 during beam-on and beam-off periods. The dataset corresponds to integrated luminosities of 113.3 fb$^{-1}$ and 1.54 nb$^{-1}$ for the proton-proton and Pb-Pb collision periods, respectively. We report observed event rates in …

Rethinking Layer-wise Model Merging through Chain of Merges
Pietro Buzzega, Riccardo Salami, Angelo Porrello, Simone Calderara
https://arxiv.org/abs/2508.21421 https://

Rethinking Layer-wise Model Merging through Chain of Merges
Fine-tuning pretrained models has become a standard pathway to achieve state-of-the-art performance across a wide range of domains, leading to a proliferation of task-specific model variants. As the number of such specialized modules in-creases, merging them into a unified model without retraining has become a critical challenge. Existing merging techniques often rely on interference heuristics,importance weighting, or activation matching while treating each layer independently, thereby failing…

The role of communication in effective business management
Dariusz Baran, Ernest G\'orka, Micha{\l} \'Cwi\k{a}ka{\l}a, Gabriela Wojak, Mateusz Grzelak, Katarzyna Olszy\'nska, Piotr Mrzyg{\l}\'od, Maciej Frasunkiewicz, Piotr R\k{e}czajski, Maciej \'Slusarczyk, Jan Piwnik
https://arxiv.org/abs/2510.07016

The role of communication in effective business management
This paper examines the impact of internal communication on effective business management through a comparative analysis of two medium-sized car rental companies operating in Poland. Using a structured survey completed by 220 employees, the study evaluates 15 communication-related factors, including feedback culture, managerial accessibility, message clarity, and interdepartmental coordination. The findings indicate that Company X significantly outperforms Company Y across all evaluated dimensi…

Accurate and Efficient Low-Rank Model Merging in Core Space
Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bart{\l}omiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer
https://arxiv.org/abs/2509.17786

Accurate and Efficient Low-Rank Model Merging in Core Space
In this paper, we address the challenges associated with merging low-rank adaptations of large neural networks. With the rise of parameter-efficient adaptation techniques, such as Low-Rank Adaptation (LoRA), model fine-tuning has become more accessible. While fine-tuning models with LoRA is highly efficient, existing merging methods often sacrifice this efficiency by merging fully-sized weight matrices. We propose the Core Space merging framework, which enables the merging of LoRA-adapted model…

Techniques for mass peak reconstruction in Searches for Long-Lived Heavy Neutral Leptons Decaying to a Lepton and a \(\rho\) Meson
Marzieh Bahmani, Alessandro Guida, Maral Khandan, Heiko Markus Lacker, Anupama Reghunath
https://arxiv.org/abs/2509.01357

Techniques for mass peak reconstruction in Searches for Long-Lived Heavy Neutral Leptons Decaying to a Lepton and a \(ρ\) Meson
The precise reconstruction of the mass peak of long-lived heavy neutral leptons (HNLs) helps to improve the sensitivity for sterile neutrino searches in both fixed-target and collider environments (e.g., SHiP and the LHC). We present an analytical framework for reconstructing the HNL mass peak in the semileptonic HNL decay channel \(N\rightarrow lρ\) with \(ρ\toππ^0\), using only the lepton and the charged pion emerging from the decay vertex together with kinematic constraints and the known…

Toward an event-level analysis of hadron structure using differential programming
Kevin Braga, Markus Diefenthaler, Steven Goldenberg, Daniel Lersch, Yaohang Li, Jian-Wei Qiu, Kishansingh Rajput, Felix Ringer, Nobuo Sato, Malachi Schram
https://arxiv.org/abs/2507.15768

Toward an event-level analysis of hadron structure using differential programming
Reconstructing the internal properties of hadrons in terms of fundamental quark and gluon degrees of freedom is a central goal in nuclear and particle physics. This effort lies at the core of major experimental programs, such as the Jefferson Lab 12 GeV program and the upcoming Electron-Ion Collider. A primary challenge is the inherent inverse problem: converting large-scale observational data from collision events into the fundamental quantum correlation functions (QCFs) that characterize the …