Dark matter search in missing energy events with NA64
D. Banerjee, V.E. Burtsev, A.G. Chumakov, D. Cooke, P. Crivelli, E., Depero, A.V. Dermenev, S.V. Donskov, R.R. Dusaev, T. Enik, N. Charitonidis,, A. Feshchenko, V.N. Frolov, A. Gardikiotis, S.G. Gerassimov, S.N. Gninenko,, M. Hosgen, M. Jeckel, A.E. Karneyeu, G. Kekelidze

TL;DR
The NA64 experiment searched for sub-GeV dark matter mediated by a dark photon in missing energy events and set new constraints on its properties, demonstrating the effectiveness of active beam dump methods.
Contribution
This work provides the most stringent constraints to date on dark photon mixing and dark matter parameter space below 0.2 GeV using an active beam dump approach.
Findings
No evidence of dark photon production was observed.
New limits on dark photon mixing strength were established.
Constraints on scalar and fermionic dark matter models were improved.
Abstract
A search for sub-GeV dark matter production mediated by a new vector boson , called dark photon, is performed by the NA64 experiment in missing energy events from 100 GeV electron interactions in an active beam dump at the CERN SPS. From the analysis of the data collected in the years 2016, 2017, and 2018 with electrons on target no evidence of such a process has been found. The most stringent constraints on the mixing strength with photons and the parameter space for the scalar and fermionic dark matter in the mass range GeV are derived, thus demonstrating the power of the active beam dump approach for the dark matter search.
| Background source | Background, |
|---|---|
| (i) dimuons | |
| (ii) , decays | |
| (iii) hadron interactions in the beam line | |
| (iv) hadron interactions in the target | |
| (v) Punch-through ’s, cracks, holes | |
| Total (conservatively) |
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The NA64 Collaboration
Dark Matter Search in Missing Energy Events with NA64
D. Banerjee
CERN, European Organization for Nuclear Research, CH-1211 Geneva, Switzerland
University of Illinois at Urbana Champaign, Urbana, 61801-3080 Illinois, USA
V. E. Burtsev
Joint Institute for Nuclear Research, 141980 Dubna, Russia
A. G. Chumakov
Tomsk State Pedagogical University, 634061 Tomsk, Russia
D. Cooke
Department of Physics and Astronomy, University College London, Gower St., London WC1E 6BT, United Kingdom
P. Crivelli
ETH Zürich, Institute for Particle Physics and Astrophysics, CH-8093 Zürich, Switzerland
E. Depero
ETH Zürich, Institute for Particle Physics and Astrophysics, CH-8093 Zürich, Switzerland
A. V. Dermenev
Institute for Nuclear Research, 117312 Moscow, Russia
S. V. Donskov
State Scientific Center of the Russian Federation Institute for High Energy Physics of National Research Center ’Kurchatov Institute’ (IHEP), 142281 Protvino, Russia
R. R. Dusaev
Tomsk State Pedagogical University, 634061 Tomsk, Russia
T. Enik
Joint Institute for Nuclear Research, 141980 Dubna, Russia
N. Charitonidis
CERN, European Organization for Nuclear Research, CH-1211 Geneva, Switzerland
A. Feshchenko
Joint Institute for Nuclear Research, 141980 Dubna, Russia
V. N. Frolov
Joint Institute for Nuclear Research, 141980 Dubna, Russia
A. Gardikiotis
Physics Department, University of Patras, 265 04 Patras, Greece
S. G. Gerassimov
P.N. Lebedev Physical Institute, Moscow, Russia, 119 991 Moscow, Russia
Technische Universität München, Physik Department, 85748 Garching, Germany
S. N. Gninenko
Institute for Nuclear Research, 117312 Moscow, Russia
M. Hösgen
Universität Bonn, Helmholtz-Institut für Strahlen-und Kernphysik, 53115 Bonn, Germany
M. Jeckel
CERN, European Organization for Nuclear Research, CH-1211 Geneva, Switzerland
A. E. Karneyeu
Institute for Nuclear Research, 117312 Moscow, Russia
G. Kekelidze
Joint Institute for Nuclear Research, 141980 Dubna, Russia
B. Ketzer
Universität Bonn, Helmholtz-Institut für Strahlen-und Kernphysik, 53115 Bonn, Germany
D. V. Kirpichnikov
Institute for Nuclear Research, 117312 Moscow, Russia
M. M. Kirsanov
Institute for Nuclear Research, 117312 Moscow, Russia
I. V. Konorov
P.N. Lebedev Physical Institute, Moscow, Russia, 119 991 Moscow, Russia
Technische Universität München, Physik Department, 85748 Garching, Germany
S. G. Kovalenko
Universidad Técnica Federico Santa María, 2390123 Valparaíso, Chile
V. A. Kramarenko
Joint Institute for Nuclear Research, 141980 Dubna, Russia
Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
L. V. Kravchuk
Institute for Nuclear Research, 117312 Moscow, Russia
N. V. Krasnikov
Institute for Nuclear Research, 117312 Moscow, Russia
S. V. Kuleshov
Departamento de Ciencias Fıisicas, Universidad Andres Bello, Sazié 2212, Piso 7, Santiago, Chile
V. E. Lyubovitskij
Tomsk State Pedagogical University, 634061 Tomsk, Russia
Universidad Técnica Federico Santa María, 2390123 Valparaíso, Chile
V. Lysan
Joint Institute for Nuclear Research, 141980 Dubna, Russia
V. A. Matveev
Joint Institute for Nuclear Research, 141980 Dubna, Russia
Yu. V. Mikhailov
State Scientific Center of the Russian Federation Institute for High Energy Physics of National Research Center ’Kurchatov Institute’ (IHEP), 142281 Protvino, Russia
L. Molina Bueno
ETH Zürich, Institute for Particle Physics and Astrophysics, CH-8093 Zürich, Switzerland
D. V. Peshekhonov
Joint Institute for Nuclear Research, 141980 Dubna, Russia
V. A. Polyakov
State Scientific Center of the Russian Federation Institute for High Energy Physics of National Research Center ’Kurchatov Institute’ (IHEP), 142281 Protvino, Russia
B. Radics
ETH Zürich, Institute for Particle Physics and Astrophysics, CH-8093 Zürich, Switzerland
R. Rojas
Universidad Técnica Federico Santa María, 2390123 Valparaíso, Chile
A. Rubbia
ETH Zürich, Institute for Particle Physics and Astrophysics, CH-8093 Zürich, Switzerland
V. D. Samoylenko
State Scientific Center of the Russian Federation Institute for High Energy Physics of National Research Center ’Kurchatov Institute’ (IHEP), 142281 Protvino, Russia
D. Shchukin
P.N. Lebedev Physical Institute, Moscow, Russia, 119 991 Moscow, Russia
V. O. Tikhomirov
P.N. Lebedev Physical Institute, Moscow, Russia, 119 991 Moscow, Russia
I. Tlisova
Institute for Nuclear Research, 117312 Moscow, Russia
D. A. Tlisov
Institute for Nuclear Research, 117312 Moscow, Russia
A. N. Toropin
Institute for Nuclear Research, 117312 Moscow, Russia
A. Yu. Trifonov
Tomsk State Pedagogical University, 634061 Tomsk, Russia
B. I. Vasilishin
Tomsk State Pedagogical University, 634061 Tomsk, Russia
G. Vasquez Arenas
Universidad Técnica Federico Santa María, 2390123 Valparaíso, Chile
P. V. Volkov
Joint Institute for Nuclear Research, 141980 Dubna, Russia
Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
V. Yu. Volkov
Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
P. Ulloa
Universidad Técnica Federico Santa María, 2390123 Valparaíso, Chile
Abstract
A search for sub-GeV dark matter production mediated by a new vector boson , called a dark photon, is performed by the NA64 experiment in missing energy events from 100 GeV electron interactions in an active beam dump at the CERN SPS. From the analysis of the data collected in the years 2016, 2017, and 2018 with electrons on target no evidence of such a process has been found. The most stringent constraints on the mixing strength with photons and the parameter space for the scalar and fermionic dark matter in the mass range GeV are derived, thus demonstrating the power of the active beam dump approach for the dark matter search.
pacs:
14.80.-j, 12.60.-i, 13.20.Cz, 13.35.Hb
The idea that in addition to gravity a new force between the dark and visible matter transmitted by a vector boson, , called dark photon, might exist is quite exciting Fayet ; prv ; ArkaniHamed:2008qn ; jr . The can have a mass in the sub-GeV mass range, and couple to the standard model (SM) via kinetic mixing with the ordinary photon, described by the term and parametrized by the mixing strength . An example of the Lagrangian of the SM extended by the dark sector (DS) is given by:
[TABLE]
where the massive field is associated with the spontaneously broken gauge group, , and are, respectively, the masses of the and dark matter (DM) particles, , which are treated as Dirac fermions coupled to with the dark coupling strength of the gauge interactions. The mixing term of (1) results in the interaction of dark photons with the electromagnetic current with a strength , where is the electromagnetic coupling and Okun:1982xi ; Galison:1983pa ; Holdom:1985ag . Such small values of can be obtained in grand unified theories from loop effects of particles charged under both the dark and SM interactions with a typical one-loop value Holdom:1985ag , or from two-loop contributions resulting in . The accessibility of these values at accelerator experiments has motivated a worldwide effort towards dark forces and other portals between the visible and dark sectors; see Refs. jr ; gk ; Fayet:2007ua ; Pospelov:2008zw ; Essig:2013lka ; report1 ; report2 ; pbc-bsm ; pbc ; berlin ; pdg for a review.
If the is the lightest state in the dark sector, then it would decay mainly visibly to SM leptons (or hadrons); see, e.g., apex ; merkel ; babar1 ; phenix ; na48 ; kloe3 , and also pdg . In the presence of light DM states with the masses , the would predominantly decay invisibly into those particles provided that . Various dark sector models motivate the existence of sub-GeV scalar and Majorana or pseudo-Dirac DM coupled to the report2 ; pbc-bsm ; deNiverville:2011it ; pdg ; Izaguirre:2014bca ; Iza2015 ; Iza2017 ; luc . To interpret the observed abundance of DM relic density, the requirement of the thermal freeze-out of DM annihilation into visible matter through mixing allows one to derive a relation
[TABLE]
where and the parameter depends on and Kolb . For , for a scalar deNiverville:2011it , and for a fermion Izaguirre:2014bca . This prediction provides an important target for the () parameter space which can be probed at the CERN SPS energies. Models introducing the invisible also may explain various astrophysical anomalies Lee:2014tba and are subject to various experimental constraints leaving, however, a large area that is still unexplored deNiverville:2011it ; Diamond:2013oda ; hd ; Essig:2013vha ; Batell:2009di ; e137th ; na64prl ; minib2018 ; na64prd ; babarg-2 ; na62 .
In this work we report new results on the search for the mediator and light dark matter (LDM) in the fixed-target experiment NA64 at the CERN SPS. In the following we assume that the invisible decay mode is predominant, i.e. . If such invisible exists, many crucial questions about its coupling constants, mass scale, decay modes, etc. arise. One possible way to answer these questions is to search for the in fixed-target experiments. The s could be produced by a high-intensity beam in a dump and generate a flux of DM particles through the decay, which can be detected through the scattering off electrons in the far target deNiverville:2011it ; Izaguirre:2014bca ; Diamond:2013oda ; Batell:2009di ; Gninenko:2012prd ; Gninenko:2012plb . The signal event rate in the detector in this case, scales as , with one associated with the production in the dump and coming from the particle scattering in the detector, and with the parameter defined as y=\epsilon^{2}\alpha_{D}\Bigl{(}\frac{m_{\chi}}{m_{A^{\prime}}}\Bigr{)}^{4}. Another method, discussed in this work and proposed in Refs. Gninenko:2013rka ; Andreas:2013lya , is based on the detection of the missing energy, carried away by the hard bremsstrahlung produced in the process of high-energy electrons scattering in the active beam dump target. The advantage of this type of experiment compared to the beam dump ones is that its sensitivity is proportional to , associated with the production and its subsequent prompt invisible decay.
The NA64 detector is schematically shown in Fig. 1. The experiment employed the optimized H4 100 GeV electron beam h4 . The beam has a maximal intensity electrons per SPS spill of 4.8 s produced by the primary 400 GeV proton beam with an intensity of few 1012 protons on target. The detector utilized the beam defining scintillator (Sc) counters and veto , a magnetic spectrometer consisting of two successive dipole magnets MBPL1,2 with the integral magnetic field of 7 Tm and a low-material-budget tracker. The tracker was a set of two upstream Micromegas chambers MM1,2, and four MM3-6, downstream stations, as well as two straw-tube ST1,2 and GEM1,2 chambers allowing the measurements of momenta with the precision Banerjee:2015eno . To enhance electron identification, synchrotron radiation (SR) emitted in the MBPL magnetic field was used for their efficient tagging with a SR detector (SRD), which was an array of a PbSc sandwich calorimeter of a very fine segmentation Gninenko:2013rka ; na64srd . By using the SRD the initial admixture of the hadron contamination in the beam was further suppressed by a factor . The detector was also equipped with an active dump target, which is an electromagnetic calorimeter (ECAL), a matrix of Shashlik-type modules assembled from Pb and Sc plates for measurement of the electron energy . Each module has radiation lengths () with the first 4 serving as a preshower detector. Downstream of the ECAL, the detector was equipped with a large high-efficiency veto counter VETO, and a massive, hermetic hadronic calorimeter (HCAL) of nuclear interaction lengths in total. The modules HCAL1-3 provided an efficient veto to detect muons or hadronic secondaries produced in the interactions in the target. The events were collected with the hardware trigger requiring an in-time cluster in the ECAL with the energy GeV. The search described in this paper uses the data samples of and electrons on target (EOT), collected in the years 2016, 2017 and 2018 with the beam intensities in the range and e- per spill, respectively. Data corresponding it total to EOT from these three runs (hereafter called respectively runs I,II, and III) were processed with selection criteria similar to the one used in Ref. na64prd and finally combined as described below. Compared to the analysis of Ref.na64prd , a number of improvements , in particular in the track reconstruction were made in the 2018 run to increase the overall efficiency. Also, the zero-degree calorimeter HCAL0 was used to reject events accompanied by hard neutrals from the upstream interactions, see Fig. 1.
In order to avoid biases in the determination of selection criteria for signal events, a blind analysis was performed. Candidate events were requested to have the missing energy GeV. The signal box () was defined based on the energy spectrum calculations for s emitted by from the electromagnetic () shower generated by the primary s in the target gkkk ; gkkketl . A Geant4 Agostinelli:2002hh ; geant based Monte Carlo (MC) simulation used to study the detector performance, signal acceptance, and background level, as well as the analysis procedure including selection of cuts and estimate of the sensitivity are described in detail in Ref.na64prd .
The left panel in Fig. 2 shows the distribution of events from the reaction in the plane measured with loose selection criteria requiring mainly the presence of a beam identified with the SR tag. Events from area I originate from the QED dimuon production, dominated by the reaction with a hard bremsstrahlung photon conversion on a target nucleus and characterized by the energy of GeV deposited by the dimuon pair in the HCAL. This rare process was used as a benchmark allowing us to verify the reliability of the MC simulation, correct the signal acceptance, cross-check systematic uncertainties and background estimate na64prd . Region II shows the SM events from the hadron electroproduction in the target that satisfy the energy conservation GeV within the energy resolution of the detectors.
Finally, the following selection criteria were chosen to maximize the acceptance for signal events and to minimize background. (i) The incoming particle track should have the momentum GeV and a small angle with respect to the beam axis to reject large angle tracks from the upstream interactions. (ii) The energy deposited in the SRD detector should be within the SR range emitted by s and in time with the trigger. (iii) The lateral and longitudinal shape of the shower in the ECAL should be consistent with the one expected for the signal shower gkkk . (iv) There should be no multiple hits activity in the straw-tube chambers, which was an effective cut against hadron electroproduction in the beam material upstream of the dump, and no activity in VETO. Only events passed these criteria from combined runs.
There are several background sources shown in Table 1 that may fake the signal: (i) loss of dimuons due to statistical fluctuations of the signal or muon decays, (ii) decays in flight of mistakenly SRD tagged , (iii) the energy loss from the hadronic interactions in the beam line due to the insufficient downstream detector coverage, and (iv) punch-through of leading neutral hadrons produced in the interactions in the target.
The backgrounds (i) and (ii) were simulated with the full statistics of the data. The background estimate in the case (iii) was mainly obtained from data by the extrapolation of events from the sideband () shown in the right panel of Fig. 2 into the signal region and assessing the systematic errors by varying the fit functions selected as described in Ref. na64prd . The shape of the extrapolation functions was taken from the analysis of a much larger data sample of events from case (iv), and cross-checked with simulations of the hadronic interactions in the dump. For case (iv), events from the region A () of Fig. 2, which are pure neutral hadronic secondaries produced in the ECAL, were used. The background (iv) was extracted from the data themselves by using the longitudinal segmentation of HCAL for the conservative punch-through probability estimate. After determining all the selection criteria and background levels, we unblind the data. No event in the signal box was found, as shown in Fig. 2, allowing us to obtain the -dependent upper limits on the mixing strength.
In the final combined statistical analysis, runs I-III were analysed simultaneously using the multibin limit setting technique na64prd based on the RooStats package root . First, the background estimate, efficiencies, and their corrections and uncertainties were used to optimize the main cut defining the signal box, by comparing sensitivities, defined as an average expected limit calculated using the profile likelihood method. The calculations were done with uncertainties used as nuisance parameters, assuming their log-normal distributions Gross:2007zz . For this optimization, the most important inputs were the expected values from the background extrapolation into the signal region from the data samples of runs I-III with their errors estimated from the variation of the extrapolation functions. The optimal cut was found to be weakly dependent on the mass choice and can be safely set to GeV for the whole mass range.
The combined 90% confidence level (C.L.) upper limits for were determined by using the modified frequentist approach for confidence levels, taking the profile likelihood as a test statistic in the asymptotic approximation junk ; limit ; Read:2002hq . The total number of expected signal events in the signal box was the sum of expected events from the three runs:
[TABLE]
where is the signal efficiency in run , and is the signal yield per EOT generated in the energy range . Each th entry in this sum was calculated with simulations of signal events and processing them through the reconstruction program with the same selection criteria and efficiency corrections as for the data sample from run . The combined 90% C.L. exclusion limits on the mixing strength as a function of the mass, calculated by taken into account the expected backgrounds and estimated systematic errors, can be seen in Fig. 3. The derived bounds are currently the best for the mass range GeV obtained from direct searches of decays pdg .
The overall signal efficiency is slightly dependent and is given by the product of efficiencies accounting for the geometrical acceptance (0.97), the track (), SRD (), VETO ( 0.94) and HCAL (0.94) signal reconstruction, and the DAQ dead time (0.93). The signal acceptance loss due to pileup was for high-intensity runs. The VETO and HCAL efficiency was defined as a fraction of events below the corresponding zero-energy thresholds. The spectrum of the energy distributions in these detectors from the leak of the signal shower energy in the ECAL was simulated for different masses gkkk and cross-checked with measurements at the beam. The uncertainty in the VETO and HCAL efficiency for the signal events, dominated mostly by the pileup effect from penetrating hadrons in the high-intensity run III, was estimated to be . The trigger efficiency was found to be with a small uncertainty 2%. The acceptance was evaluated by taking into account the selection efficiency for the shower shape in the ECAL from signal events gkkk . The production cross section in the primary reaction was obtained with the exact tree-level calculations as described in Ref.gkkketl . An additional uncertainty in the yield was conservatively accounted for the difference between the predicted and measured dimuon yield na64prl ; na64prd , which was the dominant source of systematic uncertainties on the expected number of signal events. The total signal efficiency for high- (low-) intensity runs varied from 0.53 0.09 (0.690.09) to 0.480.08 (0.550.07) decreasing for the higher masses.
Using constraints on the cross section of the DM annihilation freeze-out [see Eq.(2)], and obtained limits on mixing strength, one can derive constraints on the LDM models, which are shown in the (;) and (;) planes in Fig. 4 for masses GeV. On the same plot one can also see the favored parameter curves for scalar, pseudo-Dirac (with a small splitting) and Majorana scenario of LDM obtained by taking into account the observed relic DM density berlin . The limits on the variable are calculated under the convention and 0.5, and report2 ; pbc-bsm and shown also for comparison with bounds from other experiments. This choice of the region is compatible with the bounds derived based on the running of the dark gauge coupling arguments of Refs. gkkketl ; davou . It should be noted that for smaller values of the NA64 limits will be stronger, due to the fact that the signal rate in our case scales as , instead of as for beam dump searches. The bounds on for the case of pseudo-Dirac fermions shown in Fig. 4 (left panel in the bottom row) were calculated by taking the value , while for the Majorana case (right panel) the value in Eq.(2) na64prd was used 111We have made the calculations based on semianalytical formulae of Ref.Kolb and found that for pseudo-Dirac (Majorana) fermions for the mass range MeV. For limit calculations shown in Fig. 4 we used the conservative estimate with similar to Refs. report2 ; na64prd .. One can see that using the NA64 approach allows us to obtain more stringent bounds on for the mass range GeV than the limits obtained from the results of classical beam dump experiments, thus, demonstrating its power for the dark matter search. Further improving of the sensitivity is expected after the NA64 detector upgrade.
We gratefully acknowledge the support of the CERN management and staff and the technical staffs of the participating institutions for their vital contributions. This work was supported by the Helmholtz-Institut für Strahlen-und Kernphysik (HISKP), University of Bonn (Germany), Joint Institute for Nuclear Research (JINR) (Dubna), the Ministry of Science and Higher Education (MSHE) and RAS (Russia), ETH Zurich and SNSF Grant No. 169133 (Switzerland), and FONDECYT Grants No.1191103, No. 190845, and No. 3170852, UTFSM PI M 18 13, and Basal Grant No. FB0821 CONICYT (Chile).
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