First Search for Dark-Trident Processes Using the MicroBooNE Detector-Reference-Cited by-同舟云学术

First Search for Dark-Trident Processes Using the MicroBooNE Detector

Published:2024-06-11 Issue:24 Volume:132 Page:
ISSN:0031-9007
Container-title:Physical Review Letters
language:en
Short-container-title:Phys. Rev. Lett.

Author:

Abratenko P.¹,Alterkait O.¹,Andrade Aldana D.²,Arellano L.³,Asaadi J.⁴,Ashkenazi A.⁵,Balasubramanian S.⁶,Baller B.⁶,Barr G.⁷,Barrow D.⁷,Barrow J.⁸⁹⁵,Basque V.⁶,Benevides Rodrigues O.²,Berkman S.⁶¹⁰,Bhanderi A.³,Bhat A.¹¹,Bhattacharya M.⁶,Bishai M.¹²,Blake A.¹³,Bogart B.¹⁴,Bolton T.¹⁵,Book J. Y.¹⁶,Brunetti M. B.¹⁷,Camilleri L.¹⁸,Cao Y.³,Caratelli D.¹⁹,Cavanna F.⁶,Cerati G.⁶,Chappell A.¹⁷,Chen Y.²⁰,Conrad J. M.⁸,Convery M.²⁰,Cooper-Troendle L.²¹,Crespo-Anadón J. I.²²,Cross R.¹⁷,Del Tutto M.⁶,Dennis S. R.²³,Detje P.²³,Devitt A.¹³,Diurba R.²⁴,Djurcic Z.²⁵,Dorrill R.²,Duffy K.⁷,Dytman S.²¹,Eberly B.²⁶,Englezos P.²⁷,Ereditato A.¹¹⁶,Evans J. J.³,Fine R.²⁸,Finnerud O. G.³,Foreman W.²,Fleming B. T.¹¹,Franco D.¹¹,Furmanski A. P.⁹,Gao F.¹⁹,Garcia-Gamez D.²⁹,Gardiner S.⁶,Ge G.¹⁸,Gollapinni S.²⁸,Gramellini E.³,Green P.⁷,Greenlee H.⁶,Gu L.¹³,Gu W.¹²,Guenette R.³,Guzowski P.³,Hagaman L.¹¹,Hen O.⁸,Hilgenberg C.⁹,Horton-Smith G. A.¹⁵,Imani Z.¹,Irwin B.⁹,Ismail M. S.²¹,James C.⁶,Ji X.³⁰,Jo J. H.¹²,Johnson R. A.³¹,Jwa Y.-J.¹⁸,Kalra D.¹⁸,Kamp N.⁸,Karagiorgi G.¹⁸,Ketchum W.⁶,Kirby M.¹²⁶,Kobilarcik T.⁶,Kreslo I.²⁴,Leibovitch M. B.¹⁹,Lepetic I.²⁷,Li J.-Y.³²,Li K.³³,Li Y.¹²,Lin K.²⁷,Littlejohn B. R.²,Liu H.¹²,Louis W. C.²⁸,Luo X.¹⁹,Mariani C.³⁴,Marsden D.³,Marshall J.¹⁷,Martinez N.¹⁵,Martinez Caicedo D. A.³⁵,Martynenko S.¹²,Mastbaum A.²⁷,Mawby I.¹⁷,McConkey N.³⁶,Meddage V.¹⁵,Micallef J.⁸¹,Miller K.¹¹,Mogan A.³⁷,Mohayai T.⁶³⁸,Mooney M.³⁷,Moor A. F.²³,Moore C. D.⁶,Mora Lepin L.³,Moudgalya M. M.³,Mulleriababu S.²⁴,Naples D.²¹,Navrer-Agasson A.³,Nayak N.¹²,Nebot-Guinot M.³²,Nowak J.¹³,Oza N.¹⁸,Palamara O.⁶,Pallat N.⁹,Paolone V.²¹,Papadopoulou A.²⁵,Papavassiliou V.³⁹,Parkinson H. B.³²,Pate S. F.³⁹,Patel N.¹³,Pavlovic Z.⁶,Piasetzky E.⁵,Pophale I.¹³,Qian X.¹²,Raaf J. L.⁶,Radeka V.¹²,Rafique A.²⁵,Reggiani-Guzzo M.³²³,Ren L.³⁹,Rochester L.²⁰,Rodriguez Rondon J.³⁵,Rosenberg M.¹,Ross-Lonergan M.²⁸,Rudolf von Rohr C.²⁴,Safa I.¹⁸,Scanavini G.³³,Schmitz D. W.¹¹,Schukraft A.⁶,Seligman W.¹⁸,Shaevitz M. H.¹⁸,Sharankova R.⁶,Shi J.²³,Snider E. L.⁶,Soderberg M.⁴⁰,Söldner-Rembold S.³,Spitz J.¹⁴,Stancari M.⁶,John J. St.⁶,Strauss T.⁶,Szelc A. M.³²,Tang W.⁴¹,Taniuchi N.²³,Terao K.²⁰,Thorpe C.³,Torbunov D.¹²,Totani D.¹⁹,Toups M.⁶,Tsai Y.-T.²⁰,Tyler J.¹⁵,Uchida M. A.²³,Usher T.²⁰,Viren B.¹²,Weber M.²⁴,Wei H.⁴²,White A. J.¹¹,Wolbers S.⁶,Wongjirad T.¹,Wospakrik M.⁶,Wresilo K.²³,Wu W.²¹,Yandel E.¹⁹,Yang T.⁶,Yates L. E.⁶,Yu H. W.¹²,Zeller G. P.⁶,Zennamo J.⁶,Zhang C.¹²,

Affiliation:

1. Tufts University

2. Illinois Institute of Technology (IIT)

3. The University of Manchester

4. University of Texas

5. Tel Aviv University

6. Fermi National Accelerator Laboratory (FNAL)

7. University of Oxford

8. Massachusetts Institute of Technology (MIT)

9. University of Minnesota

10. Michigan State University

11. University of Chicago

12. Brookhaven National Laboratory (BNL)

13. Lancaster University

14. University of Michigan

15. Kansas State University (KSU)

16. Harvard University

17. University of Warwick

18. Columbia University

19. University of California

20. SLAC National Accelerator Laboratory

21. University of Pittsburgh

22. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT)

23. University of Cambridge

24. Universität Bern

25. Argonne National Laboratory (ANL)

26. University of Southern Maine

27. Rutgers University

28. Los Alamos National Laboratory (LANL)

29. Universidad de Granada

30. Nankai University

31. University of Cincinnati

32. University of Edinburgh

33. Yale University

34. Virginia Tech

35. South Dakota School of Mines and Technology (SDSMT)

36. University College London

37. Colorado State University

38. Indiana University

39. New Mexico State University (NMSU)

40. Syracuse University

41. University of Tennessee

42. Louisiana State University

Abstract

We present a first search for dark-trident scattering in a neutrino beam using a dataset corresponding to 7.2×1020 protons on target taken with the MicroBooNE detector at Fermilab. Proton interactions in the neutrino target at the main injector produce π0 and η mesons, which could decay into dark-matter (DM) particles mediated via a dark photon A′. A convolutional neural network is trained to identify interactions of the DM particles in the liquid-argon time projection chamber (LArTPC) exploiting its imagelike reconstruction capability. In the absence of a DM signal, we provide limits at the 90% confidence level on the squared kinematic mixing parameter ϵ2 as a function of the dark-photon mass in the range 10≤MA′≤400 MeV. The limits cover previously unconstrained parameter space for the production of fermion or scalar DM particles χ for two benchmark models with mass ratios Mχ/MA′=0.6 and 2 and for dark fine-structure constants 0.1≤αD≤1.

Published by the American Physical Society

2024

Funder

U.S. Department of Energy

Office of Science

High Energy Physics

National Science Foundation

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Science and Technology Facilities Council

Royal Society

Fermi Research Alliance

Publisher