Study of electron recombination in liquid argon with the ICARUS TPC

Amoruso, S.; Antonello, M.; Aprili, P.; Arneodo, F.; Badertscher, A.; Baiboussinov, B.; Ceolin, M. Baldo; Battistoni, G.; Bekman, B.; Benetti, P.; Bischofberger, M.; Tigliole, A. Borio di; Brunetti, R.; Bruzzese, R.; Bueno, A.; Buzzanca, Marissa; Calligarich, E.; Campanelli, M.; Carbonara, F.; Carpanese, C.; Cavalli, D.; Cavanna, F.; Cennini, P.; Centro, S.; Cesana, A.; Chen, C.; Chen, D.; Chen, D.B.; Chen, Y.; Cieślik, K.; Cline, D.; Cocco, A. G.; Dai, Z.; Vecchi, C. De; Dąbrowska, A.; Cicco, Alessandro Di; Dolfini, R.; Ereditato, A.; Felcini, M.; Ferrari, A.; Ferri, F.; Fiorillo, G.; Galli, Stefano; Ge, Yuanyuan; Gibin, D.; Berzolari, A. Gigli; Gil-Botella, I.; Graczyk, Krzysztof M.; Grandi, L.; Guglielmi, A.; He, K. L.; Holeczek, J.; Huang, X. P.; Juszczak, Cezary; Kiełczewska, D.; Kisiel, J.; Kozłowski, T.; Łaffranchi, M.; Łagoda, J.; Li, Z.; Lu, F.; Ma, J.; Mangano, G.; Markiewicz, Marcin; Ossa, A. Martínez de la; Matthey, C.; Mauri, F.; Meng, G.; Messina, M.; Montanari, C.; Muraro, S.; Navas, S.; Otwinowski, S.; Ouyang, Q.; Palamara, O.; Pascoli, D.; Periale, L.; Mortari, G. Piano; Piazzoli, A.; Picchi, P.; Pietropaolo, F.; Półchłopek, W.; Rancati, T.; Rappoldi, A.; Raselli, G.L.; Rico, J.; Rondio, E.; Rossella, M.; Rubbia, A.; Rubbia, C.; Sala, P.; Santorelli, R.; Scannicchio, D. A.; Segreto, E.; Seo, Yong-Ho; Sergiampietri, F.; Sobczyk, J. T.; Spinelli, N.; Steṕaniak, J.; Sulej, R.; Szarska, M.; Szeptycka, M.; Terrani, M.; Velotta, R.; Ventura, S.; Vignoli, C.; Wang, H.; Wang, X.; Woo, J.; Xu, G. F.; Xu, Z.; Zalewska, A.; Zhang, Chi; Zhang, Q.; Shen, Zhen; Zipper, W.

doi:10.1016/j.nima.2003.11.423

Cited by 117 publications

(149 citation statements)

References 19 publications

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“…In this specific case: i) the charge attenuation as a function of drift distance and ii) the charge recombination probability ("quenching") as a function of ionization density and electric field. The second of these two aspects required a detailed work in order to find the correct quenching parameters 14 . These cannot be put in the form of a global correction to be applied to a whole track by means of a unique Birks' law-like correction, but instead they must be applied to each energy deposition step.…”

Section: Application Of Fluka To Em Shower Simulationmentioning

confidence: 99%

E.M. And Hadronic Shower Simulation With Fluka

Battistoni¹,

Fassó²,

Ferrari³

et al. 2005

Calorimetry in Particle Physics

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Section: Application Of Fluka To Em Shower Simulationmentioning

confidence: 99%

E.M. And Hadronic Shower Simulation With Fluka

Battistoni¹,

Fassó²,

Ferrari³

et al. 2005

Calorimetry in Particle Physics

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“…The ArgoNeuT [10] and ICARUS T600 [11] detectors have made a series of measurements useful in addressing questions regarding the ability of LArTPCs to provide precise calorimetric energy reconstruction of EM activity. Studies of recombination [12,13] and electron absorption [14] address the ability to recover information about the energy deposited in the TPC volume. Measurements of γ EM showers produced by π 0 decay [15,16], as well as the calorimetric separation of electron and γ EM showers [17], provide information specific to the reconstruction of EM shower kinematic properties.…”

Section: Introductionmentioning

confidence: 99%

Michel electron reconstruction using cosmic-ray data from the MicroBooNE LArTPC

Acciarri

Adams

et al. 2017

J. Inst.

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A: 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 ν e interactions over a broad energy range. K: Michel electrons, LArTPC, MicroBooNE

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“…Energy deposits by charged particles passing through the voxels are tallied into a map between the co-ordinates of the centres of each voxel (x, y, z) and the total deposited energy (charge) Q. To take into account the effect of electron-ion recombination on the particle stopping power in liquid argon, a quenching factor is applied to all deposited energies using a modified form of Birks' law according to results obtained from the ICARUS project [8]. No attempt is made to model the detector readout system since this is highly experiment-specific.…”

Section: Simulation Of Neutrino Interactions In Liquid Argonmentioning

confidence: 99%