# Michel Electron Reconstruction Using Cosmic-Ray Data from the MicroBooNE   LArTPC

**Authors:** MicroBooNE collaboration: R. Acciarri, C. Adams, R. An, J. Anthony, J., Asaadi, M. Auger, L. Bagby, S. Balasubramanian, B. Baller, C. Barnes, G., Barr, M. Bass, F. Bay, M. Bishai, A. Blake, T. Bolton, L. Bugel, L., Camilleri, D. Caratelli, B. Carls, R. Castillo Fernandez, F. Cavanna, H., Chen, E. Church, D. Cianci, E. Cohen, G.H. Collin, J.M. Conrad, M. Convery,, J.I. Crespo-Anadon, M. Del Tutto, D. Devitt, S. Dytman, B. Eberly, A., Ereditato, L. Escudero Sanchez, J. Esquivel, B.T. Fleming, W. Foreman, A.P., Furmanski, D. Garcia-Gamez, G.T. Garvey, V. Genty, D. Goeldi, S. Gollapinni,, N. Graf, E. Gramellini, H. Greenlee, R. Grosso, R. Guenette, A. Hackenburg,, P. Hamilton, O. Hen, V Hewes, C. Hill, J. Ho, G. Horton-Smith, E.-C. Huang,, C. James, J. Jan de Vries, C.-M. Jen, L. Jiang, R.A. Johnson, J. Joshi, H., Jostlein, D. Kaleko, G. Karagiorgi, W. Ketchum, B. Kirby, M. Kirby, T., Kobilarcik, I. Kreslo, A. Laube, Y. Li, A. Lister, B.R. Littlejohn, S., Lockwitz, D. Lorca, W.C. Louis, M. Luethi, B. Lundberg, X. Luo, A., Marchionni, C. Mariani, J. Marshall, D.A. Martinez Caicedo, V. Meddage, T., Miceli, G.B. Mills, J. Moon, M. Mooney, C.D. Moore, J. Mousseau, R. Murrells,, D. Naples, P. Nienaber, J. Nowak, O. Palamara, V. Paolone, V. Papavassiliou,, S.F. Pate, Z. Pavlovic, E. Piasetzky, D. Porzio, G. Pulliam, X. Qian, J.L., Raaf, A. Rafique, L. Rochester, C. Rudolf von Rohr, B. Russell, D.W. Schmitz,, A. Schukraft, W. Seligman, M.H. Shaevitz, J. Sinclair, E.L. Snider, M., Soderberg, S. Soldner-Rembold, S.R. Soleti, P. Spentzouris, J. Spitz, J. St., John, T. Strauss, K.A. Sutton, A.M. Szelc, N. Tagg, K. Terao, M. Thomson, M., Toups, Y.-T. Tsai, S. Tufanli, T. Usher, R.G. Van de Water, B. Viren, M., Weber, D.A. Wickremasinghe, S. Wolbers, T. Wongjirad, K. Woodruff, T. Yang,, L. Yates, G.P. Zeller, J. Zennamo, C. Zhang

arXiv: 1704.02927 · 2023-02-17

## TL;DR

This paper presents a new automated method for reconstructing Michel electrons in the MicroBooNE LArTPC, improving energy measurement accuracy by accounting for radiative photons, crucial for neutrino electron interaction studies.

## Contribution

Developed a fully-automated Michel electron reconstruction algorithm that includes radiative photon effects, enhancing energy resolution in low-energy electron detection.

## Key findings

- Energy resolution improved from over 30% to ~20% with photon inclusion.
- Reconstructed ~14,000 Michel electron candidates from cosmic-ray data.
- Radiative photons significantly impact electron energy measurement accuracy.

## Abstract

The MicroBooNE liquid argon time projection chamber (LArTPC) has been taking data at Fermilab since 2015 collecting, in addition to neutrino beam, cosmic-ray muons. Results are presented on the reconstruction of Michel electrons produced by the decay at rest of cosmic-ray muons. Michel electrons are abundantly produced in the TPC, and given their well known energy spectrum can be used to study MicroBooNE's detector response to low-energy electrons (electrons with energies up to ~50 MeV). We describe the fully-automated algorithm developed to reconstruct Michel electrons, with which a sample of ~14,000 Michel electron candidates is obtained. Most of this article is dedicated to studying the impact of radiative photons produced by Michel electrons on the accuracy and resolution of their energy measurement. In this energy range, ionization and bremsstrahlung photon production contribute similarly to electron energy loss in argon, leading to a complex electron topology in the TPC. By profiling the performance of the reconstruction algorithm on simulation we show that the ability to identify and include energy deposited by radiative photons leads to a significant improvement in the energy measurement of low-energy electrons. The fractional energy resolution we measure improves from over 30% to ~20% when we attempt to include radiative photons in the reconstruction. These studies are relevant to a large number of analyses which aim to study neutrinos by measuring electrons produced by $\nu_e$ interactions over a broad energy range.

## Full text

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## Figures

24 figures with captions in the complete paper: https://tomesphere.com/paper/1704.02927/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/1704.02927/full.md

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Source: https://tomesphere.com/paper/1704.02927