Close Menu
geekfence.comgeekfence.com
    What's Hot

    Oppo Find X9s Gets Global Launch Alongside Ultra

    April 18, 2026

    The Best Smart Home Accessories to Boost Your Curb Appeal (2026)

    April 18, 2026

    How Yeastar Simplifies Self-hosted UCaaS for Service Providers

    April 18, 2026
    Facebook X (Twitter) Instagram
    • About Us
    • Contact Us
    Facebook Instagram
    geekfence.comgeekfence.com
    • Home
    • UK Tech News
    • AI
    • Big Data
    • Cyber Security
      • Cloud Computing
      • iOS Development
    • IoT
    • Mobile
    • Software
      • Software Development
      • Software Engineering
    • Technology
      • Green Technology
      • Nanotechnology
    • Telecom
    geekfence.comgeekfence.com
    Home»Nanotechnology»ATLAS narrows the hunt for dark matter – Physics World
    Nanotechnology

    ATLAS narrows the hunt for dark matter – Physics World

    AdminBy AdminFebruary 1, 2026No Comments2 Mins Read3 Views
    Facebook Twitter Pinterest LinkedIn Telegram Tumblr Email
    ATLAS narrows the hunt for dark matter – Physics World
    Share
    Facebook Twitter LinkedIn Pinterest Email


    A new search for emerging jets at CERN has ruled out key dark sector scenarios

    Collider image

    Collider image (Courtesy: iStock/Koto Feja)

    Researchers at the ATLAS collaboration have been searching for signs of new particles in the dark sector of the universe, a hidden realm that could help explain dark matter. In some theories, this sector contains dark quarks (fundamental particles) that undergo a shower and hadronization process, forming long-lived dark mesons (dark quarks and antiquarks bound by a new dark strong force), which eventually decay into ordinary particles. These decays would appear in the detector as unusual “emerging jets”: bursts of particles originating from displaced vertices relative to the primary collision point.

    Using 51.8 fb⁻¹ of proton–proton collision data at 13.6 TeV collected in 2022–2023, the ATLAS team looked for events containing two such emerging jets. They explored two possible production mechanisms, which are a vector mediator (Z′) produced in the s‑channel and a scalar mediator (Φ) exchanged in the t‑channel. The analysis combined two complementary strategies. A cut-based strategy relying on high-level jet observables, including track-, vertex-, and jet-substructure-based selections, enables a straightforward reinterpretation for alternative theoretical models. A machine learning approach employs a per-jet tagger using a transformer architecture trained on low-level tracking variables to discriminate emerging from Standard Model jets, maximizing sensitivity for the specific models studied.

    No emerging‑jet signal excess was found, but the search set the first direct limits on emerging‑jet production via a Z′ mediator and the first constraints on t‑channel Φ production. Depending on the model assumptions, Z′ masses up to around 2.5 TeV and Φ masses up to about 1.35 TeV are excluded. These results significantly narrow the space in which dark sector particles could exist and form part of a broader ATLAS programme to probe dark quantum chromodynamics. The work sharpens future searches for dark matter and advances our understanding of how a dark sector might behave.

    Do you want to learn more about this topic?

    Dark matter and dark energy interactions: theoretical challenges, cosmological implications and observational signatures by B Wang, E Abdalla, F Atrio-Barandela and D Pavón (2016)



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

    Related Posts

    Enhancing antitumour nanovaccine efficacy via integrated cholesterol modulation in situ

    April 18, 2026

    NNI Supplement to the President’s 2026 Budget

    April 17, 2026

    Ferroelectric devices push reservoir computing forward – Physics World

    April 16, 2026

    HgTe Nanocrystal Photodiodes: Improved Voltage and Detection

    April 15, 2026

    “Giant superatoms” could finally solve quantum computing’s biggest problem

    April 14, 2026

    Biomineralization-inspired tuning of hydroxyapatite nanostructures: Decoupling topography and material effects on antimicrobial properties

    April 12, 2026
    Top Posts

    Understanding U-Net Architecture in Deep Learning

    November 25, 202530 Views

    Hard-braking events as indicators of road segment crash risk

    January 14, 202625 Views

    Redefining AI efficiency with extreme compression

    March 25, 202624 Views
    Don't Miss

    Oppo Find X9s Gets Global Launch Alongside Ultra

    April 18, 2026

    Summary created by Smart Answers AIIn summary:Tech Advisor reports that Oppo has confirmed a global…

    The Best Smart Home Accessories to Boost Your Curb Appeal (2026)

    April 18, 2026

    How Yeastar Simplifies Self-hosted UCaaS for Service Providers

    April 18, 2026

    Posit AI Blog: Implementing rotation equivariance: Group-equivariant CNN from scratch

    April 18, 2026
    Stay In Touch
    • Facebook
    • Instagram
    About Us

    At GeekFence, we are a team of tech-enthusiasts, industry watchers and content creators who believe that technology isn’t just about gadgets—it’s about how innovation transforms our lives, work and society. We’ve come together to build a place where readers, thinkers and industry insiders can converge to explore what’s next in tech.

    Our Picks

    Oppo Find X9s Gets Global Launch Alongside Ultra

    April 18, 2026

    The Best Smart Home Accessories to Boost Your Curb Appeal (2026)

    April 18, 2026

    Subscribe to Updates

    Please enable JavaScript in your browser to complete this form.
    Loading
    • About Us
    • Contact Us
    • Disclaimer
    • Privacy Policy
    • Terms and Conditions
    © 2026 Geekfence.All Rigt Reserved.

    Type above and press Enter to search. Press Esc to cancel.