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This paper investigates fuel price regulations implemented in Austria prohibiting retailers from raising their prices more than once per day. We analyse price transmission dynamics over three subsamples and find evidence for asymmetric adjustment in the post-regulation period. Considering the combined effect of input price changes reveals that gasoline now passes through input price changes faster in the post-regulation period. We do not obtain the same finding for diesel, where only input price increases are transmitted significantly faster. We conclude that the Austrian fuel price regulation seems to have been a partial success in terms of efficiency in price transmission.

A bstract Neutrino oscillation experiments provide a unique window in exploring several new physics scenarios beyond the standard three flavour. One such scenario is quantum decoherence in neutrino oscillation which tends to destroy the interference pattern of neutrinos reaching the far detector from the source. In this work, we study the decoherence in neutrino oscillation in the context of the ESSnuSB experiment. We consider the energy-independent decoherence parameter and derive the analytical expressions for P μe and P μμ probabilities in vacuum. We have computed the capability of ESSnuSB to put bounds on the decoherence parameters namely, Γ 21 and Γ 32 and found that the constraints on Γ 21 are competitive compared to the DUNE bounds and better than the most stringent LBL ones from MINOS/MINOS+. We have also investigated the impact of decoherence on the ESSnuSB measurement of the Dirac CP phase δ CP and concluded that it remains robust in the presence of new physics.

A bstract This study provides an analysis of atmospheric neutrino oscillations at the ESSnuSB far detector facility. The prospects of the two cylindrical Water Cherenkov detectors with a total fiducial mass of 540 kt are investigated over 10 years of data taking in the standard three-flavor oscillation scenario. We present the confidence intervals for the determination of mass ordering, θ 23 octant as well as for the precisions on sin 2 θ 23 and Δ m 31 2 . It is shown that mass ordering can be resolved by 3 σ CL (5 σ CL) after 4 years (10 years) regardless of the true neutrino mass ordering. Correspondingly, the wrong θ 23 octant could be excluded by 3 σ CL after 4 years (8 years) in the case where the true neutrino mass ordering is normal ordering (inverted ordering). The results presented in this work are complementary to the accelerator neutrino program in the ESSnuSB project.

A bstract Neutrino oscillations constitute an excellent tool to probe physics beyond the Standard Model. In this paper, we investigate the potential of the ESSnuSB experiment to constrain the effects of flavour-dependent long-range forces (LRFs) in neutrino oscillations, which may arise due to the extension of the Standard Model gauge group by introducing new U(1) symmetries. Focusing on three specific U(1) symmetries — L e − L μ , L e − L τ , and L μ − L τ , we demonstrate that ESSnuSB offers a favourable environment to search for LRF effects. Our analyses reveal that ESSnuSB can set 90% confidence level bounds of V eμ < 2.99 × 10 − 14 eV, V eτ < 2.05 × 10 − 14 eV, and V μτ < 1.81 × 10 − 14 eV, which are competitive to the upcoming Deep Underground Neutrino Experiment (DUNE). It is also observed that reducing the systematic uncertainties from 5% to 2% improves the ESSnuSB limits on V αβ . Interestingly, we find limited correlations between LRF parameters and the less constrained lepton mixing parameters θ 23 and δ CP , preserving the robustness of ESSnuSB’s sensitivity to CP violation. Even under extreme LRF potentials ( V αβ ≫ 10 − 13 eV), the CP-violation sensitivity and δ CP precision remain largely unaffected. These results establish ESSnuSB as a competitive experimental setup for probing LRF effects, complementing constraints from other neutrino sources and offering critical insights into the physics of long-range forces.

Neutrino oscillation experiments provide a unique window in exploring several new physics scenarios beyond the standard three flavour. One such scenario is quantum decoherence in neutrino oscillation which tends to destroy the interference pattern of neutrinos reaching the far detector from the source. In this work, we study the decoherence in neutrino oscillation in the context of the ESSnuSB experiment. We consider the energy-independent decoherence parameter and derive the analytical expressions for P\\(_ e\\) and P\\(_ \\) probabilities in vacuum. We have computed the capability of ESSnuSB to put bounds on the decoherence parameters namely, \\(_21\\) and \\(_32\\) and found that the constraints on \\(_21\\) are competitive compared to the DUNE bounds and better than the most stringent LBL ones from MINOS/MINOS+. We have also investigated the impact of decoherence on the ESSnuSB measurement of the Dirac CP phase \\(_ CP\\) and concluded that it remains robust in the presence of new physics.

Optical readout of MicroPattern Gaseous Detectors (MPGDs) makes use of the high granularity of imaging sensors to achieve good spatial resolution for radiation imaging and particle detection. CF4 is widely used as a scintillating gas because its emission lies in the visible range, where optical sensors are most sensitive. However, to reduce reliance on greenhouse gas, such as CF4, which also has limited availability, alternative gas mixtures emitting scintillation light in the ultraviolet range can be used in combination with wavelength shifters. We investigate the spatial resolution achievable with optically read out Gaseous Electron Multipliers (GEMs) and Micromegas when using solid wavelength shifter layers such as Tetraphenyl butadiene (TPB). TPB coatings on the anode of glass Micromegas achieve the best spatial resolution of 0.22 mm owing to the minimal distance between the origin of the scintillation light and the wavelength shifter. Nevertheless, TPB layers were also shown to achieve moderate spatial resolution in combination with optically read out GEMs.

The ESSnuSB experiment aims to measure the leptonic CP phase \\(\\delta_{CP}\\) with an unprecedented resolution by probing neutrino oscillations at the second oscillation maximum. In the present work, the complementarity between the long-baseline neutrino program and atmospheric neutrinos is investigated for ESSnuSB. By simulating atmospheric neutrino events equivalent of 5.4 Mt\\(\\cdot\\)year exposure, the resolution for \\(\\delta_{\\rm CP}^{}\\) is found to improve from \\(7.5^\\circ\\) (\\(6.7^\\circ\\)) to \\(7.1^\\circ\\) (\\(6.5^\\circ\\)) at \\(1\\sigma\\)~CL for \\(\\delta_{\\rm CP}^{} = -90^\\circ\\) (\\(+90^\\circ\\)) with respect to super-beam neutrinos, resolving also the degeneracies arising from neutrino mass ordering. These findings highlight the synergies that exist between super-beam neutrinos and atmospheric neutrinos in ESSnuSB.

Atmospheric neutrinos provide a unique avenue to study neutrino interactions in matter. In this work, the prospects of constraining non-standard neutrino interactions with atmospheric neutrino oscillations are investigated for the proposed ESSnuSB far detector. By analyzing atmospheric neutrino samples equivalent to 5.4 Mt\\(\\cdot\\)year exposure, it is found that ESSnuSB could be able to set the upper bounds \\(|\\epsilon_{e\\mu}^m| < 0.053, |\\epsilon_{e\\tau}^m| < 0.057, |\\epsilon_{\\mu\\tau}^m| < 0.021, \\epsilon_{ee}^m - \\epsilon_{\\mu\\mu}^m < 0.075\\) and \\(|\\epsilon_{\\tau\\tau}^m - \\epsilon_{\\mu\\mu}^m| < 0.031\\) at \\(90\\%\\) CL, when the results are minimized for \\(\\phi_{e\\mu}^m, \\phi_{e\\tau}^m\\) and \\(\\phi_{\\mu\\tau}^m\\) and normal ordering is assumed for neutrino masses. It is also shown that the presence of non-standard interactions could affect the sensitivities to neutrino mass ordering and \\(\\theta_{23}^{}\\) octant in comparison to the standard interaction scheme. The results of this work highlight the complementarity between atmospheric and accelerator neutrino programs in ESSnuSB.

Neutrino oscillations constitute an excellent tool to probe physics beyond the Standard Model. In this paper, we investigate the potential of the ESSnuSB experiment to constrain the effects of flavour-dependent long-range forces (LRFs) in neutrino oscillations, which may arise due to the extension of the Standard Model gauge group by introducing new \\(U(1)\\) symmetries. Focusing on three specific \\(U(1)\\) symmetries -- \\(L_e - L_\\), \\(L_e - L_\\), and \\(L_ - L_\\), we demonstrate that ESSnuSB offers a favourable environment to search for LRF effects. Our analyses reveal that ESSnuSB can set \\(90\\%\\) confidence level bounds of \\(V_e < 2.99 10^-14 \\, eV\\), \\(V_e < 2.05 10^-14 \\, eV\\), and \\(V_ < 1.81 10^-14 \\, eV\\), which are competitive to the upcoming Deep Underground Neutrino Experiment (DUNE). It is also observed that reducing the systematic uncertainties from \\(5\\%\\) to \\(2\\%\\) improves the ESSnuSB limits on \\(V_\\). Interestingly, we find limited correlations between LRF parameters and the less constrained lepton mixing parameters \\(_23\\) and \\(_CP\\), preserving the robustness of ESSnuSB's sensitivity to CP violation. Even under extreme LRF potentials (\\(V_ 10^-13 \\, eV\\)), the CP-violation sensitivity and \\(_CP\\) precision remain largely unaffected. These results establish ESSnuSB as a competitive experimental setup for probing LRF effects, complementing constraints from other neutrino sources and offering critical insights into the physics of long-range forces.

In the effort to obtain a precise measurement of leptonic CP-violation with the ESS\\(\\nu\\)SB experiment, accurate and fast reconstruction of detector events plays a pivotal role. In this work, we examine the possibility of replacing the currently proposed likelihood-based reconstruction method with an approach based on Graph Neural Networks (GNNs). As the likelihood-based reconstruction method is reasonably accurate but computationally expensive, one of the benefits of a Machine Learning (ML) based method is enabling fast event reconstruction in the detector development phase, allowing for easier investigation of the effects of changes to the detector design. Focusing on classification of flavour and interaction type in muon and electron events and muon- and electron neutrino interaction events, we demonstrate that the GNN reconstructs events with greater accuracy than the likelihood method for events with greater complexity, and with increased speed for all events. Additionally, we investigate the key factors impacting reconstruction performance, and demonstrate how separation of events by pion production using another GNN classifier can benefit flavour classification.