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Probing Dark Jets from Higgs Decays at LHC

Published:Dec 31, 2025 12:00
1 min read
ArXiv

Analysis

This paper explores a novel search strategy for dark matter, focusing on a specific model where the Higgs boson decays into dark sector particles that subsequently produce gluon-rich jets. The focus on long-lived dark mesons decaying into gluons and the consideration of both cascade decays and dark showers are key aspects. The paper highlights the importance of trigger selection for detection and provides constraints on the branching ratios at the high-luminosity LHC.
Reference

The paper finds that appropriate trigger selection constitutes a crucial factor for detecting these signal signatures in both tracker system and CMS muon system. At the high-luminosity LHC, the exotic Higgs branching ratio to cascade decays (dark showers) can be constrained below $\mathcal{O}(10^{-5}-10^{-1})$ [$\mathcal{O}(10^{-5}-10^{-2})$] for dark meson proper lifetimes $c\tau$ ranging from $1$ mm to $100$ m.

Analysis

This paper presents a search for charged Higgs bosons, a hypothetical particle predicted by extensions to the Standard Model of particle physics. The search uses data from the CMS detector at the LHC, focusing on specific decay channels and final states. The results are interpreted within the generalized two-Higgs-doublet model (g2HDM), providing constraints on model parameters and potentially hinting at new physics. The observation of a 2.4 standard deviation excess at a specific mass point is intriguing and warrants further investigation.
Reference

An excess is observed with respect to the standard model expectation with a local significance of 2.4 standard deviations for a signal with an H$^\pm$ boson mass ($m_{\mathrm{H}^\pm}$) of 600 GeV.

Analysis

This paper investigates jet quenching in an anisotropic quark-gluon plasma using gauge-gravity duality. It explores the behavior of the jet quenching parameter under different orientations, particularly focusing on its response to phase transitions and critical regions within the plasma. The study utilizes a holographic model based on an Einstein-dilaton-three-Maxwell action, considering various physical conditions like temperature, chemical potential, magnetic field, and spatial anisotropy. The significance lies in understanding how the properties of the quark-gluon plasma, especially its phase transitions, affect the suppression of jets, which is crucial for understanding heavy-ion collision experiments.
Reference

Discontinuities of the jet quenching parameter occur at a first-order phase transition, and their magnitude depends on the orientation.

Analysis

This paper investigates how the properties of hadronic matter influence the energy loss of energetic partons (quarks and gluons) as they traverse the hot, dense medium created in heavy-ion collisions. The authors introduce a modification to the dispersion relations of partons, effectively accounting for the interactions with the medium's constituents. This allows them to model jet modification, including the nuclear modification factor and elliptic flow, across different collision energies and centralities, extending the applicability of jet energy loss calculations into the hadronic phase.
Reference

The paper introduces a multiplicative $(1 + a/T)$ correction to the dispersion relation of quarks and gluons.

Radio Continuum Detections near Methanol Maser Rings

Published:Dec 29, 2025 13:23
1 min read
ArXiv

Analysis

This paper investigates the radio continuum emission associated with methanol maser rings, which are signposts of star formation. The study uses the VLA to image radio continuum and maser emission, providing insights into the kinematics and structure of young stellar objects. The detection of thermal jets in four targets is a significant finding, contributing to our understanding of the early stages of high-mass star formation. The ambiguity in one target and the H II region association in another highlight the complexity of these environments and the need for further investigation.
Reference

The paper presents the first images of the thermal jets towards four targets in our sample.

Analysis

This paper investigates the impact of the momentum flux ratio (J) on the breakup mechanism, shock structures, and unsteady interactions of elliptical liquid jets in a supersonic cross-flow. The study builds upon previous research by examining how varying J affects atomization across different orifice aspect ratios (AR). The findings are crucial for understanding and potentially optimizing fuel injection processes in supersonic combustion applications.
Reference

The study finds that lower J values lead to greater unsteadiness and larger Rayleigh-Taylor waves, while higher J values result in decreased unsteadiness and smaller, more regular Rayleigh-Taylor waves.

Analysis

This paper explores the potential for observing lepton number violation (LNV) at the Large Hadron Collider (LHC) within a specific theoretical framework (Zee Model with leptoquarks). The significance lies in its potential to directly test LNV, which would confirm the Majorana nature of neutrinos, a fundamental aspect of particle physics. The study provides a detailed collider analysis, identifying promising signal channels and estimating the reach of the High-Luminosity LHC (HL-LHC).
Reference

The HL-LHC can probe leptoquark masses up to $m_{ m LQ} \sim 1.5~\mathrm{TeV}$ with this process.

Analysis

This paper investigates the formation of mesons, including excited states, from coalescing quark-antiquark pairs. It uses a non-relativistic quark model with a harmonic oscillator potential and Gaussian wave packets. The work is significant because it provides a framework for modeling excited meson states, which are often overlooked in simulations, and offers predictions for unconfirmed states. The phase space approach is particularly relevant for Monte Carlo simulations used in high-energy physics.
Reference

The paper demonstrates that excited meson states are populated abundantly for typical parton configurations expected in jets.

Double-Double Radio Galaxies: A New Accretion Model

Published:Dec 26, 2025 23:47
1 min read
ArXiv

Analysis

This paper proposes a novel model for the formation of double-double radio galaxies (DDRGs), suggesting that the observed inner and outer jets are linked by continuous accretion, even during the quiescent phase. The authors argue that the black hole spin plays a crucial role, with jet formation being dependent on spin and the quiescent time correlating with the subsequent jet duration. This challenges the conventional view of independent accretion events and offers a compelling explanation for the observed correlations in DDRGs.
Reference

The authors show that a correlation between the quiescent time and the inner jet time may exist, which they interpret as resulting from continued accretion through the quiescent jet phase.

Analysis

This paper investigates how jets, produced in heavy-ion collisions, are affected by the evolving quark-gluon plasma (QGP) during the initial, non-equilibrium stages. It focuses on the jet quenching parameter and elastic collision kernel, crucial for understanding jet-medium interactions. The study improves QCD kinetic theory simulations by incorporating more realistic medium effects and analyzes gluon splitting rates beyond isotropic approximations. The identification of a novel weak-coupling attractor further enhances the modeling of the QGP's evolution and equilibration.
Reference

The paper computes the jet quenching parameter and elastic collision kernel, and identifies a novel type of weak-coupling attractor.

Analysis

This paper addresses the challenge of running large language models (LLMs) on resource-constrained edge devices. It proposes LIME, a collaborative system that uses pipeline parallelism and model offloading to enable lossless inference, meaning it maintains accuracy while improving speed. The focus on edge devices and the use of techniques like fine-grained scheduling and memory adaptation are key contributions. The paper's experimental validation on heterogeneous Nvidia Jetson devices with LLaMA3.3-70B-Instruct is significant, demonstrating substantial speedups over existing methods.
Reference

LIME achieves 1.7x and 3.7x speedups over state-of-the-art baselines under sporadic and bursty request patterns respectively, without compromising model accuracy.

Analysis

This paper presents a significant advancement in understanding solar blowout jets. Unlike previous models that rely on prescribed magnetic field configurations, this research uses a self-consistent 3D MHD model to simulate the jet initiation process. The model's ability to reproduce observed characteristics, such as the slow mass upflow and fast heating front, validates the approach and provides valuable insights into the underlying mechanisms of these solar events. The self-consistent generation of the twisted flux tube is a key contribution.
Reference

The simulation self-consistently generates a twisted flux tube that emerges through the photosphere, interacts with the pre-existing magnetic field, and produces a blowout jet that matches the main characteristics of this type of jet found in observations.

Analysis

This paper addresses the critical need for real-time, high-resolution video prediction in autonomous UAVs, a domain where latency is paramount. The authors introduce RAPTOR, a novel architecture designed to overcome the limitations of existing methods that struggle with speed and resolution. The core innovation, Efficient Video Attention (EVA), allows for efficient spatiotemporal modeling, enabling real-time performance on edge hardware. The paper's significance lies in its potential to improve the safety and performance of UAVs in complex environments by enabling them to anticipate future events.
Reference

RAPTOR is the first predictor to exceed 30 FPS on a Jetson AGX Orin for $512^2$ video, setting a new state-of-the-art on UAVid, KTH, and a custom high-resolution dataset in PSNR, SSIM, and LPIPS. Critically, RAPTOR boosts the mission success rate in a real-world UAV navigation task by 18%.

Research Paper#Astrophysics🔬 ResearchAnalyzed: Jan 4, 2026 00:19

VLBI Diagnostics for Off-axis Jets in Tidal Disruption Events

Published:Dec 25, 2025 13:26
1 min read
ArXiv

Analysis

This paper addresses the ambiguity in the origin of late-time radio flares in tidal disruption events (TDEs), specifically focusing on the AT2018hyz event. It proposes using Very Long Baseline Interferometry (VLBI) to differentiate between a delayed outflow and an off-axis relativistic jet. The paper's significance lies in its potential to provide a definitive observational signature (superluminal motion) to distinguish between these competing models, offering a crucial tool for understanding the physics of TDEs and potentially other jetted explosions.
Reference

Detecting superluminal motion would provide a smoking-gun signature of the off-axis jet interpretation.

Analysis

This article focuses on the application of deep learning in particle physics, specifically for improving the accuracy of Higgs boson measurements at future electron-positron colliders. The use of deep learning for jet flavor tagging is a key aspect, aiming to enhance the precision of hadronic Higgs measurements. The research likely explores the development and performance of deep learning algorithms in identifying the flavor of jets produced in particle collisions.
Reference

Analysis

This ArXiv article delves into a complex astrophysical phenomenon, offering insights into the formation of jets from magnetized accretion flows. The study likely employs advanced computational models and theoretical frameworks to explore the interplay of vector potential and plasma-beta.
Reference

The article's context revolves around the study of jet formation.

Analysis

This article describes a calibration method for jet energy measurements in high-energy physics, specifically focusing on small-radius jets using data from the ATLAS detector. The method utilizes semileptonic top quark pair ($t\bar{t}$) events. The research likely aims to improve the precision of measurements involving jets, which are crucial for many physics analyses at the Large Hadron Collider.
Reference

The article focuses on calibrating jet energy scale and resolution.

Analysis

This article likely discusses the application of deep learning techniques, specifically deep sets and maximum-likelihood estimation, to improve the rejection of pile-up jets in the ATLAS experiment. The focus is on achieving faster and more efficient jet rejection, which is crucial for high-energy physics experiments.
Reference

Analysis

The article announces holiday discounts on NVIDIA Jetson developer kits for edge AI and robotics. It highlights the platform's appeal to developers, researchers, hobbyists, and students. The focus is on the availability of the platform and its potential for use in edge AI and robotics applications.
Reference

N/A

News#Current Events🏛️ OfficialAnalyzed: Dec 29, 2025 17:56

929 - Given feat. Alex Nichols (4/28/25)

Published:Apr 29, 2025 06:07
1 min read
NVIDIA AI Podcast

Analysis

This is a summary of an episode of the NVIDIA AI Podcast. The episode covers a range of topics, including current events such as the situation in the Red Sea and political developments. It also features a discussion with Alex Nichols. The podcast also promotes the sale of a book, "¡No Pasarán!" by Matt Christman. The tone suggests a casual and potentially humorous approach to discussing current affairs, with references to "Keystone Kops" and the "funeral home waiting room of Democratic leadership."
Reference

Fighter jets are just falling off the back of our aircraft carriers now in yet another Keystone Kops-ass bungle in the Red Sea.

Product#Edge AI👥 CommunityAnalyzed: Jan 10, 2026 16:25

Nvidia Jetson Orin Nano: Addressing Entry-Level Edge AI Hurdles

Published:Sep 21, 2022 05:33
1 min read
Hacker News

Analysis

The article likely discusses the capabilities of the Nvidia Jetson Orin Nano in the context of edge AI applications, potentially highlighting its performance and accessibility for developers. An effective analysis will likely compare the Orin Nano to its predecessors and competitors, focusing on its specific advantages within the entry-level edge AI space.
Reference

The article's key fact likely revolves around the Jetson Orin Nano's specifications or its intended use-cases, providing a tangible benchmark for its performance.

Science & Technology#UFOs📝 BlogAnalyzed: Dec 29, 2025 17:14

Ryan Graves: UFOs, Fighter Jets, and Aliens

Published:Aug 1, 2022 16:07
1 min read
Lex Fridman Podcast

Analysis

This podcast episode features Lt. Ryan Graves, a former Navy fighter pilot, discussing his experiences with UFOs. The episode delves into Graves' encounters and his willingness to speak publicly about them, a rare stance in this field. The discussion likely covers the technical aspects of these encounters, given Graves' background in advanced research and development programs related to AI and air combat. The episode also includes information about the podcast's sponsors, which is a common practice for podcasts.
Reference

Lt. Ryan Graves is a former Navy fighter pilot, who has worked on advanced research and development programs.

Analysis

This podcast episode features David Fravor, a former Navy pilot and key witness to a highly credible UFO sighting, as documented by the Pentagon and reported by the NY Times. The episode delves into Fravor's experiences, including his 18-year career as a pilot, the specifics of the Tic Tac UFO incident, and his perspectives on extraterrestrial life and government investigations. The conversation also touches upon related topics such as AI in fighter jets, the challenges of landing on aircraft carriers, and the potential for secret military tests. The episode provides a detailed account of a significant UFO encounter and explores broader themes of aerospace engineering and the search for extraterrestrial intelligence.
Reference

The episode discusses the Tic Tac UFO story and the details surrounding it.

Product#Edge AI👥 CommunityAnalyzed: Jan 10, 2026 16:41

Nvidia Jetson Nano Simplifies AI Project Integration

Published:Jun 21, 2020 11:06
1 min read
Hacker News

Analysis

This article highlights the utility of the Nvidia Jetson Nano for developers looking to incorporate AI into their projects, likely focusing on ease of use and accessibility. The lack of specific details from the context makes it difficult to assess the actual value proposition presented within the original article.
Reference

Embed AI into Projects with Nvidia’s Jetson Nano

Hardware#AI Hardware👥 CommunityAnalyzed: Jan 3, 2026 18:08

Nvidia's $99 Jetson Nano Is an AI Computer for DIY Enthusiasts

Published:Mar 18, 2019 22:36
1 min read
Hacker News

Analysis

The article highlights the accessibility of AI computing through a low-cost device. The focus is on the Jetson Nano's affordability and its appeal to DIY enthusiasts, suggesting a democratization of AI development.
Reference