Improvement in Fast Particle Track Reconstruction with Robust Statistics

The IceCube project has transformed one cubic kilometer of deep natural Antarctic ice into a Cherenkov detector. Muon neutrinos are detected and their direction inferred by mapping the light produced by the secondary muon track inside the volume instrumented with photomultipliers. Reconstructing the...

Full description

Bibliographic Details
Main Authors: Aartsen, M. G., Abbasi, R., Baker, M., Hanson, K., Heereman, D., Heinen, D., Helbing, K., Hellauer, R., Hickford, S., Hill, G. C., Hoffman, K. D., Hoffmann, R., Homeier, A., Barwick, S. W., Hoshina, K., Huelsnitz, W., Hulth, P. O., Hultqvist, K., Hussain, S., Ishihara, A., Jacobi, E., Jacobsen, J., Jagielski, K., Japaridze, G. S., Baum, V., Jero, K., Jlelati, O., Kaminsky, B., Kappes, A., Karg, T., Karle, A., Kelley, J. L., Kiryluk, J., Kläs, J., Klein, S. R., Bay, R., Köhne, J. -H., Kohnen, G., Kolanoski, H., Köpke, L., Kopper, C., Kopper, S., Koskinen, D. J., Kowalski, M., Krasberg, M., Krings, K., Beatty, J. J., Kroll, G., Kunnen, J., Kurahashi, N.
Format: Report
Language:English
Published: 2013
Subjects:
Online Access:https://bib-pubdb1.desy.de/record/166428
https://bib-pubdb1.desy.de/search?p=id:%22DESY-2014-01332%22
id ftdesyvdb:oai:bib-pubdb1.desy.de:166428
record_format openpolar
spelling ftdesyvdb:oai:bib-pubdb1.desy.de:166428 2023-05-15T13:57:10+02:00 Improvement in Fast Particle Track Reconstruction with Robust Statistics Aartsen, M. G. Abbasi, R. Baker, M. Hanson, K. Heereman, D. Heinen, D. Helbing, K. Hellauer, R. Hickford, S. Hill, G. C. Hoffman, K. D. Hoffmann, R. Homeier, A. Barwick, S. W. Hoshina, K. Huelsnitz, W. Hulth, P. O. Hultqvist, K. Hussain, S. Ishihara, A. Jacobi, E. Jacobsen, J. Jagielski, K. Japaridze, G. S. Baum, V. Jero, K. Jlelati, O. Kaminsky, B. Kappes, A. Karg, T. Karle, A. Kelley, J. L. Kiryluk, J. Kläs, J. Klein, S. R. Bay, R. Köhne, J. -H. Kohnen, G. Kolanoski, H. Köpke, L. Kopper, C. Kopper, S. Koskinen, D. J. Kowalski, M. Krasberg, M. Krings, K. Beatty, J. J. Kroll, G. Kunnen, J. Kurahashi, N. DE 2013 https://bib-pubdb1.desy.de/record/166428 https://bib-pubdb1.desy.de/search?p=id:%22DESY-2014-01332%22 eng eng info:eu-repo/semantics/altIdentifier/arxiv/arXiv:1308.5501 https://bib-pubdb1.desy.de/record/166428 https://bib-pubdb1.desy.de/search?p=id:%22DESY-2014-01332%22 info:eu-repo/semantics/openAccess info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion 2013 ftdesyvdb 2022-06-30T20:10:29Z The IceCube project has transformed one cubic kilometer of deep natural Antarctic ice into a Cherenkov detector. Muon neutrinos are detected and their direction inferred by mapping the light produced by the secondary muon track inside the volume instrumented with photomultipliers. Reconstructing the muon track from the observed light is challenging due to noise, light scattering in the ice medium, and the possibility of simultaneously having multiple muons inside the detector, resulting from the large flux of cosmic ray muons. This manuscript describes work on two problems: (1) the track reconstruction problem, in which, given a set of observations, the goal is to recover the track of a muon; and (2) the coincident event problem, which is to determine how many muons are active in the detector during a time window. Rather than solving these problems by developing more complex physical models that are applied at later stages of the analysis, our approach is to augment the detectors early reconstruction with data filters and robust statistical techniques. These can be implemented at the level of on-line reconstruction and, therefore, improve all subsequent reconstructions. Using the metric of median angular resolution, a standard metric for track reconstruction, we improve the accuracy in the initial reconstruction direction by 13%. We also present improvements in measuring the number of muons in coincident events: we can accurately determine the number of muons 98% of the time. Report Antarc* Antarctic DESY Publication Database (PUBDB) Antarctic
institution Open Polar
collection DESY Publication Database (PUBDB)
op_collection_id ftdesyvdb
language English
description The IceCube project has transformed one cubic kilometer of deep natural Antarctic ice into a Cherenkov detector. Muon neutrinos are detected and their direction inferred by mapping the light produced by the secondary muon track inside the volume instrumented with photomultipliers. Reconstructing the muon track from the observed light is challenging due to noise, light scattering in the ice medium, and the possibility of simultaneously having multiple muons inside the detector, resulting from the large flux of cosmic ray muons. This manuscript describes work on two problems: (1) the track reconstruction problem, in which, given a set of observations, the goal is to recover the track of a muon; and (2) the coincident event problem, which is to determine how many muons are active in the detector during a time window. Rather than solving these problems by developing more complex physical models that are applied at later stages of the analysis, our approach is to augment the detectors early reconstruction with data filters and robust statistical techniques. These can be implemented at the level of on-line reconstruction and, therefore, improve all subsequent reconstructions. Using the metric of median angular resolution, a standard metric for track reconstruction, we improve the accuracy in the initial reconstruction direction by 13%. We also present improvements in measuring the number of muons in coincident events: we can accurately determine the number of muons 98% of the time.
format Report
author Aartsen, M. G.
Abbasi, R.
Baker, M.
Hanson, K.
Heereman, D.
Heinen, D.
Helbing, K.
Hellauer, R.
Hickford, S.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Homeier, A.
Barwick, S. W.
Hoshina, K.
Huelsnitz, W.
Hulth, P. O.
Hultqvist, K.
Hussain, S.
Ishihara, A.
Jacobi, E.
Jacobsen, J.
Jagielski, K.
Japaridze, G. S.
Baum, V.
Jero, K.
Jlelati, O.
Kaminsky, B.
Kappes, A.
Karg, T.
Karle, A.
Kelley, J. L.
Kiryluk, J.
Kläs, J.
Klein, S. R.
Bay, R.
Köhne, J. -H.
Kohnen, G.
Kolanoski, H.
Köpke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Kowalski, M.
Krasberg, M.
Krings, K.
Beatty, J. J.
Kroll, G.
Kunnen, J.
Kurahashi, N.
spellingShingle Aartsen, M. G.
Abbasi, R.
Baker, M.
Hanson, K.
Heereman, D.
Heinen, D.
Helbing, K.
Hellauer, R.
Hickford, S.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Homeier, A.
Barwick, S. W.
Hoshina, K.
Huelsnitz, W.
Hulth, P. O.
Hultqvist, K.
Hussain, S.
Ishihara, A.
Jacobi, E.
Jacobsen, J.
Jagielski, K.
Japaridze, G. S.
Baum, V.
Jero, K.
Jlelati, O.
Kaminsky, B.
Kappes, A.
Karg, T.
Karle, A.
Kelley, J. L.
Kiryluk, J.
Kläs, J.
Klein, S. R.
Bay, R.
Köhne, J. -H.
Kohnen, G.
Kolanoski, H.
Köpke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Kowalski, M.
Krasberg, M.
Krings, K.
Beatty, J. J.
Kroll, G.
Kunnen, J.
Kurahashi, N.
Improvement in Fast Particle Track Reconstruction with Robust Statistics
author_facet Aartsen, M. G.
Abbasi, R.
Baker, M.
Hanson, K.
Heereman, D.
Heinen, D.
Helbing, K.
Hellauer, R.
Hickford, S.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Homeier, A.
Barwick, S. W.
Hoshina, K.
Huelsnitz, W.
Hulth, P. O.
Hultqvist, K.
Hussain, S.
Ishihara, A.
Jacobi, E.
Jacobsen, J.
Jagielski, K.
Japaridze, G. S.
Baum, V.
Jero, K.
Jlelati, O.
Kaminsky, B.
Kappes, A.
Karg, T.
Karle, A.
Kelley, J. L.
Kiryluk, J.
Kläs, J.
Klein, S. R.
Bay, R.
Köhne, J. -H.
Kohnen, G.
Kolanoski, H.
Köpke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Kowalski, M.
Krasberg, M.
Krings, K.
Beatty, J. J.
Kroll, G.
Kunnen, J.
Kurahashi, N.
author_sort Aartsen, M. G.
title Improvement in Fast Particle Track Reconstruction with Robust Statistics
title_short Improvement in Fast Particle Track Reconstruction with Robust Statistics
title_full Improvement in Fast Particle Track Reconstruction with Robust Statistics
title_fullStr Improvement in Fast Particle Track Reconstruction with Robust Statistics
title_full_unstemmed Improvement in Fast Particle Track Reconstruction with Robust Statistics
title_sort improvement in fast particle track reconstruction with robust statistics
publishDate 2013
url https://bib-pubdb1.desy.de/record/166428
https://bib-pubdb1.desy.de/search?p=id:%22DESY-2014-01332%22
op_coverage DE
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation info:eu-repo/semantics/altIdentifier/arxiv/arXiv:1308.5501
https://bib-pubdb1.desy.de/record/166428
https://bib-pubdb1.desy.de/search?p=id:%22DESY-2014-01332%22
op_rights info:eu-repo/semantics/openAccess
_version_ 1766264773302812672