pith. machine review for the scientific record. sign in

arxiv: 1308.5501 · v2 · submitted 2013-08-26 · 🌌 astro-ph.IM

Recognition: unknown

Improvement in Fast Particle Track Reconstruction with Robust Statistics

M. G. Aartsen , R. Abbasi , Y. Abdou , M. Ackermann , J. Adams , J. A. Aguilar , M. Ahlers , D. Altmann
show 272 more authors
J. Auffenberg X. Bai M. Baker S. W. Barwick V. Baum R. Bay J. J. Beatty S. Bechet J. Becker Tjus K.-H. Becker M. L. Benabderrahmane S. BenZvi P. Berghaus D. Berley E. Bernardini A. Bernhard D. Z. Besson G. Binder D. Bindig M. Bissok E. Blaufuss J. Blumenthal D. J. Boersma S. Bohaichuk C. Bohm D. Bose S. B\"oser O. Botner L. Brayeur H.-P. Bretz A. M. Brown R. Bruijn J. Brunner M. Carson J. Casey M. Casier D. Chirkin A. Christov B. Christy K. Clark F. Clevermann S. Coenders S. Cohen D. F. Cowen A. H. Cruz Silva M. Danninger J. Daughhetee J. C. Davis M. Day C. De Clercq S. De Ridder P. Desiati K. D. de Vries M. de With T. DeYoung J. C. D\'iaz-V\'elez M. Dunkman R. Eagan B. Eberhardt J. Eisch S. Euler P. A. Evenson O. Fadiran A. R. Fazely A. Fedynitch J. Feintzeig T. Feusels K. Filimonov C. Finley T. Fischer-Wasels S. Flis A. Franckowiak K. Frantzen T. Fuchs T. K. Gaisser J. Gallagher L. Gerhardt L. Gladstone T. Gl\"usenkamp A. Goldschmidt G. Golup J. G. Gonzalez J. A. Goodman D. G\'ora D. T. Grandmont D. Grant A. Gro{\ss} C. Ha A. Haj Ismail P. Hallen A. Hallgren F. Halzen K. Hanson D. Heereman D. Heinen K. Helbing R. Hellauer S. Hickford G. C. Hill K. D. Hoffman R. Hoffmann A. Homeier K. Hoshina W. Huelsnitz P. O. Hulth K. Hultqvist S. Hussain A. Ishihara E. Jacobi J. Jacobsen K. Jagielski G. S. Japaridze K. Jero O. Jlelati B. Kaminsky A. Kappes T. Karg A. Karle J. L. Kelley J. Kiryluk J. Kl\"as S. R. Klein J.-H. K\"ohne G. Kohnen H. Kolanoski L. K\"opke C. Kopper S. Kopper D. J. Koskinen M. Kowalski M. Krasberg K. Krings G. Kroll J. Kunnen N. Kurahashi T. Kuwabara M. Labare H. Landsman M. J. Larson M. Lesiak-Bzdak M. Leuermann J. Leute J. L\"unemann O. Mac\'ias J. Madsen G. Maggi R. Maruyama K. Mase H. S. Matis F. McNally K. Meagher M. Merck T. Meures S. Miarecki E. Middell N. Milke J. Miller L. Mohrmann T. Montaruli R. Morse R. Nahnhauer U. Naumann H. Niederhausen S. C. Nowicki D. R. Nygren A. Obertacke S. Odrowski A. Olivas A. Omairat A. O'Murchadha L. Paul J. A. Pepper C. P\'erez de los Heros C. Pfendner D. Pieloth E. Pinat J. Posselt P. B. Price G. T. Przybylski L. R\"adel M. Rameez K. Rawlins C. R\'e B. Recht P. Redl R. Reimann E. Resconi W. Rhode M. Ribordy M. Richman B. Riedel J. P. Rodrigues C. Rott T. Ruhe B. Ruzybayev D. Ryckbosch S. M. Saba T. Salameh H.-G. Sander M. Santander S. Sarkar K. Schatto F. Scheriau T. Schmidt M. Schmitz S. Schoenen S. Sch\"oneberg A. Sch\"onwald A. Schukraft L. Schulte O. Schulz D. Seckel Y. Sestayo S. Seunarine R. Shanidze C. Sheremata M. W. E. Smith D. Soldin G. M. Spiczak C. Spiering M. Stamatikos T. Stanev N. A. Stanisha A. Stasik T. Stezelberger R. G. Stokstad A. St\"o{\ss}l E. A. Strahler R. Str\"om G. W. Sullivan H. Taavola I. Taboada A. Tamburro A. Tepe S. Ter-Antonyan G. Te\v{s}i\'c S. Tilav P. A. Toale S. Toscano E. Unger M. Usner S. Vallecorsa N. van Eijndhoven A. Van Overloop J. van Santen M. Vehring M. Voge M. Vraeghe C. Walck T. Waldenmaier M. Wallraff Ch. Weaver M. Wellons C. Wendt S. Westerhoff N. Whitehorn K. Wiebe C. H. Wiebusch D. R. Williams H. Wissing M. Wolf T. R. Wood K. Woschnagg D. L. Xu X. W. Xu J. P. Yanez G. Yodh S. Yoshida P. Zarzhitsky J. Ziemann S. Zierke M. Zoll
Authors on Pith no claims yet
classification 🌌 astro-ph.IM
keywords reconstructiontrackmuonsmuondetectorlightcoincidentdetermine
0
0 comments X
read the original abstract

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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Improving Neutrino Point Source Sensitivity with Source-Informed Event Selection

    hep-ex 2026-04 conditional novelty 6.0

    Source-informed event selection in multi-level neutrino reconstruction improves median point source sensitivity by factors of ~2-3 over uniform subsampling.