Aartsen MG, Ackermann M, Adams J, Aguilar JA, Ahlers M, Alispach C, Atoum BA, Andeen K, Anderson T, Ansseau I, Anton G, Argüelles C, Auffenberg J, Axani S, Backes P, Bagherpour H, Bai X, V. AB, Barbano A, Barwick SW, Bastian B, Baum V, Baur S, Bay R, Beatty JJ, Becker KH, Tjus JB, Benzvi S, Berley D, Bernardini E, Besson DZ, Binder G, Bindig D, Blaufuss E, Blot S, Bohm C, Börner M, Böser S, Botner O, Böttcher J, Bourbeau E, Bourbeau J, Bradascio F, Braun J, Bron S, Brostean-Kaiser J, Burgman A, Buscher J, Busse RS, Carver T, Chen C, Cheung E, Chirkin D, Choi S, Clark K, Classen L, Coleman A, Collin GH, Conrad JM, Coppin P, Correa P, Cowen DF, Cross R, Dave P, Clercq CD, Delaunay JJ, Dembinski H, Deoskar K, Ridder SD, Desiati P, De Vries KD, De Wasseige G, De With M, Deyoung T, Diaz A, Díaz-Vélez JC, Dujmovic H, Dunkman M, Dvorak E, Eberhardt B, Ehrhardt T, Eller P, Engel R, Evenson PA, Fahey S, Fazely AR, Felde J, Filimonov K, Finley C, Franckowiak A, Friedman E, Fritz A, Gaisser TK, Gallagher J, Ganster E, Garrappa S, Gerhardt L, Ghorbani K, Glauch T, Glüsenkamp T, Goldschmidt A, Gonzalez JG, Grant D, Griffith Z, Griswold S, Günder M, Gündüz M, Haack C, Hallgren A, Halve L, Halzen F, Hanson K, Haungs A, Hebecker D, Heereman D, Heix P, Helbing K, Hellauer R, Henningsen F, Hickford S, Hignight J, Hill GC, Hoffman KD, Hoffmann R, Hoinka T, Hokanson-Fasig B, Hoshina K, Huang F, Huber M, Huber T, Hultqvist K, Hünnefeld M, Hussain R, In S, Iovine N, Ishihara A, Japaridze GS, Jeong M, Jero K, Jones BJ, Jonske F, Joppe R, Kang D, Kang W, Kappes A, Kappesser D, Karg T, Karl M, Karle A, Katz U, Kauer M, Kelley JL, Kheirandish A, Kim J, Kintscher T, Kiryluk J, Kittler T, Klein SR, Koirala R, Kolanoski H, Köpke L, Kopper C, Kopper S, Koskinen DJ, Kowalski M, Krings K, Krückl G, Kulacz N, Kurahashi N, Kyriacou A, Labare M, Lanfranchi JL, Larson MJ, Lauber F, Lazar JP, Leonard K, Leszczyńska A, Leuermann M, Liu QR, Lohfink E, Mariscal CJ, Lu L, Lucarelli F, Lünemann J, Luszczak W, Lyu Y, Ma WY, Madsen J, Maggi G, Mahn KB, Makino Y, Mallik P, Mallot K, Mancina S, Mariş IC, Maruyama R, Mase K, Maunu R, McNally F, Meagher K, Medici M, Medina A, Meier M, Meighen-Berger S, Menne T, Merino G, Meures T, Micallef J, Mockler D, Momenté G, Montaruli T, Moore RW, Morse R, Moulai M, Muth P, Nagai R, Naumann U, Neer G, Niederhausen H, Nowicki SC, Nygren DR, Pollmann AO, Oehler M, Olivas A, O'Murchadha A, O'Sullivan E, Palczewski T, Pandya H, Pankova DV, Park N, Peiffer P, Pérez De Los Heros C, Philippen S, Pieloth D, Pinat E, Pizzuto A, Plum M, Porcelli A, Price PB, Przybylski GT, Raab C, Raissi A, Rameez M, Rauch L, Rawlins K, Rea IC, Reimann R, Relethford B, Renschler M, Renzi G, Resconi E, Rhode W, Richman M, Robertson S, Rongen M, Rott C, Ruhe T, Ryckbosch D, Rysewyk D, Safa I, Herrera SE, Sandrock A, Sandroos J, Santander M, Sarkar S, Sarkar S, Satalecka K, Schaufel M, Schieler H, Schlunder P, Schmidt T, Schneider A, Schneider J, Schröder FG, Schumacher L, Sclafani S, Seckel D, Seunarine S, Shefali S, Silva M, Snihur R, Soedingrekso J, Soldin D, Song M, Spiczak GM, Spiering C, Stachurska J, Stamatikos M, Stanev T, Stein R, Steinmüller P, Stettner J, Steuer A, Stezelberger T, Stokstad RG, Stößl A, Strotjohann NL, Stürwald T, Stuttard T, Sullivan GW, Taboada I, Tenholt F, Ter-Antonyan S, Terliuk A, Tilav S, Tollefson K, Tomankova L, Tönnis C, Toscano S, Tosi D, Trettin A, Tselengidou M, Tung CF, Turcati A, Turcotte R, Turley CF, Ty B, Unger E, Elorrieta MA, Usner M, Vandenbroucke J, Driessche WV, Eijk DV, Eijndhoven NV, Vanheule S, Santen JV, Vraeghe M, Walck C, Wallace A, Wallraff M, Wandkowsky N, Watson TB, Weaver C, Weindl A, Weiss MJ, Weldert J, Wendt C, Werthebach J, Whelan BJ, Whitehorn N, Wiebe K, Wiebusch CH, Wille L, Williams DR, Wills L, Wolf M, Wood J, Wood TR, Woschnagg K, Wrede G, Xu DL, Xu XW, Xu Y, Yanez JP, Yodh G, Yoshida S, Yuan T, Zöcklein M (2019)
Publication Type: Journal article
Publication year: 2019
Book Volume: 2019
Article Number: 048
Journal Issue: 10
DOI: 10.1088/1475-7516/2019/10/048
Efficient treatment of systematic uncertainties that depend on a large number of nuisance parameters is a persistent difficulty in particle physics and astrophysics experiments. Where low-level effects are not amenable to simple parameterization or re-weighting, analyses often rely on discrete simulation sets to quantify the effects of nuisance parameters on key analysis observables. Such methods may become computationally untenable for analyses requiring high statistics Monte Carlo with a large number of nuisance degrees of freedom, especially in cases where these degrees of freedom parameterize the shape of a continuous distribution. In this paper we present a method for treating systematic uncertainties in a computationally efficient and comprehensive manner using a single simulation set with multiple and continuously varied nuisance parameters. This method is demonstrated for the case of the depth-dependent effective dust distribution within the IceCube Neutrino Telescope.
APA:
Aartsen, M.G., Ackermann, M., Adams, J., Aguilar, J.A., Ahlers, M., Alispach, C.,... Zöcklein, M. (2019). Efficient propagation of systematic uncertainties from calibration to analysis with the SnowStorm method in IceCube. Journal of Cosmology and Astroparticle Physics, 2019(10). https://doi.org/10.1088/1475-7516/2019/10/048
MLA:
Aartsen, M. G., et al. "Efficient propagation of systematic uncertainties from calibration to analysis with the SnowStorm method in IceCube." Journal of Cosmology and Astroparticle Physics 2019.10 (2019).
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