Abratenko P, An R, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book J Y, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad J M, Convery M, Cooper-Troendle L, Crespo-Anadón J I, Del Tutto M, Dennis S R, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans J J, Fine R, Fiorentini Aguirre G A, Fitzpatrick R S, Fleming B T, Foppiani N, Franco D, Furmanski A P, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith G A, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo J H, Johnson R A, Jwa Y-J, Kalra D, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li K, Li Y, Lin K, Littlejohn B R, Louis W C, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo D A, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A F, Moore C D, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Nebot-Guinot M, Neely R K, Newmark D A, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S F, Patel N, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I D, Prince S, Qian X, Raaf J L, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice L C J, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz D W, Schukraft A, Seligman W, Shaevitz M H, Sharankova R, Shi J, Sinclair J, Smith A, Snider E L, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John J St, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A M, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai Y-T, Uchida M A, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates L E, Yu H W, Zeller G P, Zennamo J, Zhang C
Tufts University, Medford, Massachusetts 02155, USA.
Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA.
Phys Rev Lett. 2022 Apr 15;128(15):151801. doi: 10.1103/PhysRevLett.128.151801.
We report a measurement of the energy-dependent total charged-current cross section σ(E_{ν}) for inclusive muon neutrinos scattering on argon, as well as measurements of flux-averaged differential cross sections as a function of muon energy and hadronic energy transfer (ν). Data corresponding to 5.3×10^{19} protons on target of exposure were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab booster neutrino beam with a mean neutrino energy of approximately 0.8 GeV. The mapping between the true neutrino energy E_{ν} and reconstructed neutrino energy E_{ν}^{rec} and between the energy transfer ν and reconstructed hadronic energy E_{had}^{rec} are validated by comparing the data and Monte Carlo (MC) predictions. In particular, the modeling of the missing hadronic energy and its associated uncertainties are verified by a new method that compares the E_{had}^{rec} distributions between data and a MC prediction after constraining the reconstructed muon kinematic distributions, energy, and polar angle to those of data. The success of this validation gives confidence that the missing energy in the MicroBooNE detector is well modeled and underpins first-time measurements of both the total cross section σ(E_{ν}) and the differential cross section dσ/dν on argon.
我们报告了对氩气上包含μ子中微子散射的能量依赖总带电流截面σ(Eₙ)的测量，以及作为μ子能量和强子能量转移(ν)函数的通量平均微分截面的测量。使用位于费米实验室助推器中微子束的MicroBooNE液态氩时间投影室收集了相当于5.3×10¹⁹个靶上质子曝光的数据，平均中微子能量约为0.8 GeV。通过比较数据和蒙特卡罗(MC)预测，验证了真实中微子能量Eₙ与重建中微子能量Eₙʳᵉᶜ以及能量转移ν与重建强子能量Eₕᵃᵈʳᵉᶜ之间的映射。特别是，通过一种新方法验证了缺失强子能量的建模及其相关不确定性，该方法在将重建的μ子运动学分布、能量和极角约束为与数据相同时，比较数据和MC预测之间的Eₕᵃᵈʳᵉᶜ分布。这种验证的成功让人相信MicroBooNE探测器中的缺失能量得到了很好的建模，并为首次测量氩气上的总截面σ(Eₙ)和微分截面dσ/dν提供了支持。
