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dc.contributor.authorCollin, G. H.
dc.contributor.authorConrad, Janet Marie
dc.contributor.authorDiaz, Alejandro
dc.contributor.authorHen, Or
dc.contributor.authorHourlier, Adrien C.
dc.contributor.authorMoon, Jarrett S.
dc.contributor.authorPapadopoulou, Afroditi
dc.contributor.authorYates, Lauren Elizabeth
dc.date.accessioned2019-03-29T19:18:51Z
dc.date.available2019-03-29T19:18:51Z
dc.date.issued2018-07
dc.identifier.issn1748-0221
dc.identifier.urihttp://hdl.handle.net/1721.1/121112
dc.description.abstractWe describe the concept and procedure of drifted-charge extraction developed in the MicroBooNE experiment, a single-phase liquid argon time projection chamber (LArTPC). This technique converts the raw digitized TPC waveform to the number of ionization electrons passing through a wire plane at a given time. A robust recovery of the number of ionization electrons from both induction and collection anode wire planes will augment the 3D reconstruction, and is particularly important for tomographic reconstruction algorithms. A number of building blocks of the overall procedure are described. The performance of the signal processing is quantitatively evaluated by comparing extracted charge with the true charge through a detailed TPC detector simulation taking into account position-dependent induced current inside a single wire region and across multiple wires. Some areas for further improvement of the performance of the charge extraction procedure are also discussed. Keywords: MicroBooNE, Signal Processing, Deconvolution, ROIen_US
dc.description.sponsorshipUnited States. Department of Energy. High Energy Physics Divisionen_US
dc.description.sponsorshipNational Science Foundation (U.S.)en_US
dc.description.sponsorshipSwiss National Science Foundationen_US
dc.description.sponsorshipScience and Technology Facilities Council (Great Britain)en_US
dc.description.sponsorshipRoyal Society (Great Britain)en_US
dc.publisherIOP Publishingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1088/1748-0221/13/07/P07006en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleIonization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulationen_US
dc.typeArticleen_US
dc.identifier.citationAdams, C., R. An, J. Anthony, J. Asaadi, M. Auger, L. Bagby, S. Balasubramanian, et al. “Ionization Electron Signal Processing in Single Phase LArTPCs. Part I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation.” Journal of Instrumentation 13, no. 07 (July 6, 2018): P07006–P07006.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Nuclear Scienceen_US
dc.contributor.mitauthorCollin, G. H.
dc.contributor.mitauthorConrad, Janet Marie
dc.contributor.mitauthorDiaz, Alejandro
dc.contributor.mitauthorHen, Or
dc.contributor.mitauthorHourlier, Adrien C.
dc.contributor.mitauthorMoon, Jarrett S.
dc.contributor.mitauthorPapadopoulou, Afroditi
dc.contributor.mitauthorYates, Lauren Elizabeth
dc.relation.journalJournal of Instrumentationen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-03-15T14:47:12Z
dspace.orderedauthorsAdams, C.; An, R.; Anthony, J.; Asaadi, J.; Auger, M.; Bagby, L.; Balasubramanian, S.; Baller, B.; Barnes, C.; Barr, G.; Bass, M.; Bay, F.; Bhat, A.; Bhattacharya, K.; Bishai, M.; Blake, A.; Bolton, T.; Camilleri, L.; Caratelli, D.; Fernandez, R. Castillo; Cavanna, F.; Cerati, G.; Chen, H.; Chen, Y.; Church, E.; Cianci, D.; Cohen, E.; Collin, G.H.; Conrad, J.M.; Convery, M.; Cooper-Troendle, L.; Crespo-Anadón, J.I.; Tutto, M. Del; Devitt, D.; Diaz, A.; Dytman, S.; Eberly, B.; Ereditato, A.; Sanchez, L. Escudero; Esquivel, J.; Evans, J.J.; Fadeeva, A.A.; Fleming, B.T.; Foreman, W.; Furmanski, A.P.; Garcia-Gamez, D.; Garvey, G.T.; Genty, V.; Goeldi, D.; Gollapinni, S.; Gramellini, E.; Greenlee, H.; Grosso, R.; Guenette, R.; Guzowski, P.; Hackenburg, A.; Hamilton, P.; Hen, O.; Hewes, J.; Hill, C.; Ho, J.; Horton-Smith, G.A.; Hourlier, A.; Huang, E.-C.; James, C.; de Vries, J. Jan; Jiang, L.; Johnson, R.A.; Joshi, J.; Jostlein, H.; Jwa, Y.-J.; Kaleko, D.; Karagiorgi, G.; Ketchum, W.; Kirby, B.; Kirby, M.; Kobilarcik, T.; Kreslo, I.; Li, Y.; Lister, A.; Littlejohn, B.R.; Lockwitz, S.; Lorca, D.; Louis, W.C.; Luethi, M.; Lundberg, B.; Luo, X.; Marchionni, A.; Marcocci, S.; Mariani, C.; Marshall, J.; Caicedo, D.A. Martinez; Mastbaum, A.; Meddage, V.; Miceli, T.; Mills, G.B.; Mogan, A.; Moon, J.; Mooney, M.; Moore, C.D.; Mousseau, J.; Murphy, M.; Murrells, R.; Naples, D.; Nienaber, P.; Nowak, J.; Palamara, O.; Pandey, V.; Paolone, V.; Papadopoulou, A.; Papavassiliou, V.; Pate, S.F.; Pavlovic, Z.; Piasetzky, E.; Porzio, D.; Pulliam, G.; Qian, X.; Raaf, J.L.; Radeka, V.; Rafique, A.; Rochester, L.; Ross-Lonergan, M.; Rohr, C. Rudolf von; Russell, B.; Schmitz, D.W.; Schukraft, A.; Seligman, W.; Shaevitz, M.H.; Sinclair, J.; Smith, A.; Snider, E.L.; Soderberg, M.; Söldner-Rembold, S.; Soleti, S.R.; Spentzouris, P.; Spitz, J.; John, J. St.; Strauss, T.; Sutton, K.; Sword-Fehlberg, S.; Szelc, A.M.; Tagg, N.; Tang, W.; Terao, K.; Thomson, M.; Thorn, C.; Toups, M.; Tsai, Y.-T.; Tufanli, S.; Usher, T.; Pontseele, W. Van De; de Water, R.G. Van; Viren, B.; Weber, M.; Wei, H.; Wickremasinghe, D.A.; Wierman, K.; Williams, Z.; Wolbers, S.; Wongjirad, T.; Woodruff, K.; Yang, T.; Yarbrough, G.; Yates, L.E.; Yu, B.; Zeller, G.P.; Zennamo, J.; Zhang, C.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6393-0438
dc.identifier.orcidhttps://orcid.org/0000-0002-4890-6544
dc.identifier.orcidhttps://orcid.org/0000-0002-8346-8375
mit.licenseOPEN_ACCESS_POLICYen_US


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