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Journal article
Efficient propagation of systematic uncertainties from calibration to analysis with the SnowStorm method in IceCube
Journal of cosmology and astroparticle physics, v 2019(10), pp 48-48
2019
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Abstract
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.
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Details
- Title
- Efficient propagation of systematic uncertainties from calibration to analysis with the SnowStorm method in IceCube
- Creators
- Christian Bohm - Stockholm UniversityKunal Deoskar - Stockholm UniversityChad Finley - Stockholm UniversityKlas Hultqvist - Stockholm UniversityErin O'Sullivan - Oskar Klein-centrum för kosmopartikelfysik (OKC)Christian Walck - Stockholm UniversityIceCube Collaboration
- Publication Details
- Journal of cosmology and astroparticle physics, v 2019(10), pp 48-48
- Publisher
- Institute of Physics (IOP)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000503491500016
- Scopus ID
- 2-s2.0-85075914289
- Other Identifier
- 991019169635904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Astronomy & Astrophysics
- Physics, Particles & Fields