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    Shaping Dark Photon Spectral Distortions

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    The cosmic microwave background (CMB) spectrum is an extraordinary tool for exploring physics beyond the Standard Model. The exquisite precision of its measurement makes it particularly sensitive to small effects caused by hidden sector interactions. In particular, CMB spectral distortions can unveil the existence of dark photons which are kinetically coupled to the standard photon. In this work, we use the COBE-FIRAS dataset to derive accurate and robust limits on photon-to-dark-photon oscillations for a large range of dark photon masses, from 1010^{−10} to 104^{−4} eV. We consider in detail the redshift dependence of the bounds, computing CMB distortions due to photon injection/removal using a Green’s function method. Our treatment improves on previous results, which had set limits studying energy injection/removal into baryons rather than photon injection/removal, or ignoring the redshift evolution of distortions. The difference between our treatment and previous ones is particularly noticeable in the predicted spectral shape of the distortions, a smoking gun signature for photon-to-dark-photon oscillations. The characterization of the spectral shape is crucial for future CMB missions, which could improve the present sensitivity by orders of magnitude, exploring regions of the dark photon parameter space that are otherwise difficult to access [inline-graphic not available: see fulltext].The cosmic microwave background (CMB) spectrum is an extraordinary tool for exploring physics beyond the Standard Model. The exquisite precision of the measurement makes it particularly sensitive to small effects caused by hidden sector interactions. In particular, CMB spectral distortions can unveil the existence of dark photons which are kinetically coupled to the standard photon. In this work, we use the COBE-FIRAS dataset to derive accurate and robust limits on photon-to-dark-photon oscillations for a large range of dark photon masses, from 101010^{-10} to 10410^{-4} eV. We consider in detail the redshift dependence of the bounds, computing CMB distortions due to photon injection/removal using a Green's function method. Our treatment improves on previous results, which had set limits studying energy injection/removal into baryons rather than photon injection/removal, or ignored the redshift evolution of distortions. The difference between our treatment and previous ones is particularly noticeable in the predicted spectral shape of the distortions, a smoking gun signature for photon-to-dark-photon oscillations. The characterization of the spectral shape is crucial for future CMB missions, which could improve the present sensitivity by orders of magnitude, exploring regions of the dark photon parameter space that are otherwise difficult to access

    Visit by Professor Michael Luck, Deputy Vice-Chancellor and Provost, University of Sussex, Great-Britain

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    Visit by Professor Michael Luck, Deputy Vice-Chancellor and Provost, University of Sussex, United Kingdom of Great-Britain and Northern Irelan

    Updating the software description of the ATLAS Detector

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    The software description of the ATLAS detector is based on the GeoModel toolkit, developed in-house for the ATLAS experiment but released and maintained as a separate package with few dependencies. A compact SQLite-based exchange format permits the sharing of geometrical information between applications, including visualization, clash detection, material inventory, database browsing, and lightweight full simulation. ATLAS simulation, reconstruction, and other elements of standard ATLAS offline workflows are now being adapted to ingest the geometry files, which are prepared using platform-independent modular geometry plugin code. This represents a major transformation of the ATLAS detector description software, impacting even the development procedures for which new roles have been invented. During these integration activities, both the GeoModel geometry kernel and the GeoModel toolkit have seen improvements, including volume calculation, material blending, helper classes for simpler memory management, and a richer collection of supported geometrical objects. This paper reports on these activities

    (Re)interpretation of the LHC results for new physics

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    We explore the collider phenomenology of the fat-brane realization of the Minimal Universal Extra Dimension (mUED) model, where Standard Model (SM) fields propagate in a small extra dimension while gravity accesses additional large extra dimensions. This configuration allows for gravity-mediated decay (GMD) of Kaluza-Klein (KK) particles, resulting in unique final states with hard photons, jets, massive SM bosons, and large missing transverse energy due to invisible KK gravitons. We derive updated constraints on the model's parameter space by recasting ATLAS mono-photon, di-photon, and multi-jet search results using 139 inverse femtobern of integrated luminosity data

    (Re)interpretation of the LHC results for new physics

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    Traditional approaches to precise Standard Model (SM) measurements of fundamental particles at the LHC generally restrict the format of these measurements to just one or two properties at a time in predetermined histogram bins. The ATLAS Experiment recently published such a measurement in a notable new format for LHC experiments: high-dimensional and unbinned datasets that can be used for a wide range of scientific applications. This precision measurement of high-momentum ZZ boson events uses neural networks to reduce detector distortions and therefore facilitate direct comparison with theoretical QCD predictions. Physicists can easily configure the datasets to produce traditional binned measurements of any of the measured properties, or arbitrary combinations of them, with full uncertainty covariances and customized binning

    IPPOG Collaboration Forum and Author Lists, 2025

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    he International Particle Physics Outreach Group is a network of scientists, science educators and communication specialists created in 1997 to demonstrate the need and importance of outreach in science in general and High Energy Particle Physics in particular. Collaboration members are grouped into an informal discussion body called the IPPOG forum, and are offered the possibility to become IPPOG authors. The present lists will be updated once per year, to reflect the collaboration evolution

    Fast timing silicon R&D; for the future Electron-Ion Collider

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    The proposed Electron-Ion Collider (EIC) will utilize high- luminosity high-energy electron+proton (e + p) and electron+nucleus (e + A) collisions to solve several fundamental questions including searching for gluon saturation and studying the proton/nuclear structure. Complementary to the ongoing EIC project detector technical prototype carried out by the ePIC collaboration, a Depleted Monolithic Active Pixel Sensor (i.e., MALTA2) based fast timing silicon tracking detector (FMT) has been proposed to provide additional hits for track reconstruction in the forward region at the EIC to improve the overall track reconstruction quality. The fast timing resolution of the MALTA2 technology will help reject background events at the EIC as well. Progress of latest MALTA2 R&D;, the development of a new MALTA2 quad-sensor prototype module and impacts of the proposed FMT in EIC physics studies will be discussed

    Beam Dump Facility (BDF) Targetry Systems Advisory Committee (TSAC)

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    The BDF Target Systems Advisory Committee (BDF-TSAC) is formed to provide independent advice to the HI-ECN3 Project team and specifically to the BDF Target Systems team working in Work Packages 3 & 4, on matters associated with successfully achieving project goals, based on the most recent knowledge, state-of-the-art and experience worldwide. The first event took place on 4-6 March 2025

    Photos of MARCHESE Prototype: Medical Applications

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    Prototype of medical application; MARCHESE, which uses a set of lasers, cameras and sensors, alongside machine learning algorithms, to remotely monitor key health signals, such as heart rate and respiration rate

    2025 CERN openlab Technical Workshop

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