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10
result(s) for
"Kasianova, E A"
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First constraints on the Lμ− Lτ explanation of the muon g-2 anomaly from NA64-e at CERN
by
Karneyeu, A. E.
,
Depero, E.
,
Banto Oberhauser, B.
in
Beyond Standard Model
,
CERN
,
Classical and Quantum Gravitation
2024
A
bstract
The inclusion of an additional U(1) gauge
L
μ
−
L
τ
symmetry would release the tension between the measured and the predicted value of the anomalous muon magnetic moment: this paradigm assumes the existence of a new, light
Z
′ vector boson, with dominant coupling to
μ
and
τ
leptons and interacting with electrons via a loop mechanism. The
L
μ
−
L
τ
model can also explain the Dark Matter relic abundance, by assuming that the
Z
′ boson acts as a “portal” to a new Dark Sector of particles in Nature, not charged under known interactions. In this work we present the results of the
Z
′ search performed by the NA64-
e
experiment at CERN SPS, that collected ~ 9 × 10
11
100 GeV electrons impinging on an active thick target. Despite the suppressed
Z
′ production yield with an electron beam, NA64-
e
provides the first accelerator-based results excluding the
g −
2 preferred band of the
Z
′ parameter space in the 1 keV
<
m
Z
′
≲ 2 MeV range, in complementarity with the limits recently obtained by the NA64-
μ
experiment with a muon beam.
Journal Article
Shedding light on Dark Sectors with high-energy muons at the NA64 experiment at the CERN SPS
2024
A search for Dark Sectors is performed using the unique M2 beam line at the CERN Super Proton Synchrotron. New particles (\\(X\\)) could be produced in the bremsstrahlung-like reaction of high energy 160 GeV muons impinging on an active target, \\( N NX\\), followed by their decays, \\(X\\). The experimental signature would be a scattered single muon from the target, with about less than half of its initial energy and no activity in the sub-detectors located downstream the interaction point. The full sample of the 2022 run is analyzed through the missing energy/momentum channel, with a total statistics of \\((1.980.02)10^10\\) muons on target. We demonstrate that various muon-philic scenarios involving different types of mediators, such as scalar or vector particles, can be probed simultaneously with such a technique. For the vector-case, besides a \\(L_-L_\\) \\(Z'\\) vector boson, we also consider an invisibly decaying dark photon (\\(A'\\)). This search is complementary to NA64 running with electrons and positrons, thus, opening the possibility to expand the exploration of the thermal light dark matter parameter space by combining the results obtained with the three beams.
First constraints on the \\(L_\\mu-L_\\tau\\) explanation of the muon \\(g-2\\) anomaly from NA64-\\(e\\) at CERN
2024
The inclusion of an additional \\(U(1)\\) gauge \\(L_\\mu-L_\\tau\\) symmetry would release the tension between the measured and the predicted value of the anomalous muon magnetic moment: this paradigm assumes the existence of a new, light \\(Z^\\prime\\) vector boson, with dominant coupling to \\(\\mu\\) and \\(\\tau\\) leptons and interacting with electrons via a loop mechanism. The \\(L_\\mu-L_\\tau\\) model can also explain the Dark Matter relic abundance, by assuming that the \\(Z'\\) boson acts as a \"portal\" to a new Dark Sector of particles in Nature, not charged under known interactions. In this work we present the results of the \\(Z'\\) search performed by the NA64-\\(e\\) experiment at CERN SPS, that collected \\(\\sim 9\\times10^{11}\\) 100 GeV electrons impinging on an active thick target. Despite the suppressed \\(Z'\\) production yield with an electron beam, NA64-\\(e\\) provides the first accelerator-based results excluding the \\(g-2\\) preferred band of the \\(Z'\\) parameter space in the 1 keV \\( < m_{Z'} \\lesssim 2\\) MeV range, in complementarity with the limits recently obtained by the NA64-\\(\\mu\\) experiment with a muon beam.
Exploration of the Muon \\(g-2\\) and Light Dark Matter explanations in NA64 with the CERN SPS high energy muon beam
2024
We report on a search for a new \\(Z'\\) (\\(L_\\mu-L_\\tau\\)) vector boson performed at the NA64 experiment employing a high energy muon beam and a missing energy-momentum technique. Muons from the M2 beamline at the CERN Super Proton Synchrotron with a momentum of 160 GeV/c are directed to an active target. A signal event is a single scattered muon with momentum \\(<\\) 80 GeV/c in the final state, accompanied by missing energy, i.e. no detectable activity in the downstream calorimeters. For a total statistic of \\((1.98\\pm0.02)\\times10^{10}\\) muons on target, no event is observed in the expected signal region. This allows us to set new limits on part of the remaining \\((m_{Z'},\\ g_{Z'})\\) parameter space which could provide an explanation for the muon \\((g-2)_\\mu\\) anomaly. Additionally, our study excludes part of the parameter space suggested by the thermal Dark Matter relic abundance. Our results pave the way to explore Dark Sectors and light Dark Matter with muon beams in a unique and complementary way to other experiments.
Measurement of the intrinsic hadronic contamination in the NA64\\(-e\\) high-purity \\(e^+/e^-\\) beam at CERN
2023
In this study, we present the measurement of the intrinsic hadronic contamination at the CERN SPS H4 beamline configured to transport electrons and positrons at 100 GeV/c momentum. The analysis was performed using data collected by the NA64-\\(e\\) experiment in 2022. Our study is based on calorimetric measurements, exploiting the different interaction mechanisms of electrons and hadrons in the NA64-ECAL and NA64-HCAL detectors. We determined the intrinsic hadronic contamination by comparing the results obtained using the nominal electron/positron beamline configuration with those obtained in a dedicated setup, in which only hadrons impinged on the detector. The significant differences in the experimental signatures of electrons and hadrons motivated our approach, resulting in a small and well-controlled systematic uncertainty for the measurement. Our study allowed us to precisely determine the intrinsic hadronic contamination, which represents a crucial parameter for the NA64 experiment in which the hadron contaminants may result in non-trivial backgrounds. Moreover, we performed dedicated Monte Carlo simulations for the hadron production induced by the primary T2 target. We found a good agreement between measurements and simulation results, confirming the validity of the applied methodology and our evaluation of the intrinsic hadronic contamination.
Probing Light Dark Matter with positron beams at NA64
2023
We present the results of a missing-energy search for Light Dark Matter which has a new interaction with ordinary matter transmitted by a vector boson, called dark photon \\(A^\\prime\\). For the first time, this search is performed with a positron beam by using the significantly enhanced production of \\(A^\\prime\\) in the resonant annihilation of positrons with atomic electrons of the target nuclei, followed by the invisible decay of \\(A^\\prime\\) into dark matter. No events were found in the signal region with \\((10.1 \\pm 0.1)~\\times~10^{9}\\) positrons on target with 100 GeV energy. This allowed us to set new exclusion limits that, relative to the collected statistics, prove the power of this experimental technique. This measurement is a crucial first step toward a future exploration program with positron beams, whose estimated sensitivity is here presented.
Search for Light Dark Matter with NA64 at CERN
2023
Thermal dark matter models with particle \\(\\chi\\) masses below the electroweak scale can provide an explanation for the observed relic dark matter density. This would imply the existence of a new feeble interaction between the dark and ordinary matter. We report on a new search for the sub-GeV \\(\\chi\\) production through the interaction mediated by a new vector boson, called the dark photon \\(A'\\), in collisions of 100 GeV electrons with the active target of the NA64 experiment at the CERN SPS. With \\(9.37\\times10^{11}\\) electrons on target collected during 2016-2022 runs NA64 probes for the first time the well-motivated region of parameter space of benchmark thermal scalar and fermionic dark matter models. No evidence for dark matter production has been found. This allows us to set the most sensitive limits on the \\(A'\\) couplings to photons for masses \\(m_{A'} \\lesssim 0.35\\) GeV, and to exclude scalar and Majorana dark matter with the \\(\\chi-A'\\) coupling \\(\\alpha_D \\leq 0.1\\) for masses \\(0.001 \\lesssim m_\\chi \\lesssim 0.1\\) GeV and \\(3m_\\chi \\leq m_{A'}\\).
Testing the effect of relative pollen productivity on the REVEALS model: a validated reconstruction of Europe-wide Holocene vegetation
2023
Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ?Regional Estimates of VEgetation Abundance from Large Sites? (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity.
Journal Article
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
2023
Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ‘Regional Estimates of VEgetation Abundance from Large Sites’ (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity.
Journal Article
Testing the effect of relative pollen productivity on the REVEALS model: a validated reconstruction of Europe-wide holocene vegetation
2023
Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ‘Regional Estimates of VEgetation Abundance from Large Sites’ (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity.
Journal Article