Fast and precise model calculation for KATRIN using a neural network

doi:10.1140/epjc/s10052-022-10384-z

2022-05-13

Christian K. Karl *

P. Eller

S. Mertens

DOI：10.1140/epjc/s10052-022-10384-z

原文链接

原文求助

摘要

En 中文

We present a fast and precise method to approximate the physics model of the Karlsruhe Tritium Neutrino (KATRIN) experiment using a neural network. KATRIN is designed to measure the effective electron anti-neutrino mass m(nu) using the kinematics of beta-decay with a sensitivity of 200 meV at 90% confidence level. To achieve this goal, a highly accurate model prediction with relative errors below the 10(-4)-level is required. Using the regular numerical model for the analysis of the final KATRIN dataset is computationally extremely costly or requires approximations to decrease the computation time. Our solution to reduce the computational requirements is to train a neural network to learn the predicted beta-spectrum and its dependence on all relevant input parameters. This results in a speed-up of the calculation by about three orders of magnitude, while meeting the stringent accuracy requirements of KATRIN.

Keyword:

TRITIUM

期刊

European Physical Journal C

IF:

4.8

论文数:

1.8W

被引数:

4.7W

机构

Technical University of Munich

学者数:

5.2W

论文数: 3.9W

被引数: 6.2W

Max Planck Society

学者数:

8.2W

论文数: 7.7W

被引数: 3.3W

引用论文

Modified Atmosphere Packaging (MAP) and the Effect of Chemical Preservative to Enhance Shelf Life of Khoa (Heat Desiccated Milk Product)

Journal of Packaging Technology and Research

IF0

2017-03-16

PREAI

Tanima Chowdhury; Sanjay Kr. Chattopadhyay; Narayan Ch. Saha

Value creation and co-creation in tourist experiences: an East Asian cultural knowledge framework approach.旅游体验中的价值创造与共同创造：一种东亚文化知识框架方法。

Creating experience value in tourism

IF0

2022-05-19

PREAI

Lee YoungSook Lee YoungSook; N. K. Prebensen

Final results from phase II of the Mainz neutrino mass search in tritium β decay 美因茨中微子质量搜索第二阶段的最终结果

EUROPEAN PHYSICAL JOURNAL C

IF4.8

2005-04-01

621

OAAI

Kraus, C; Bornschein, B; Bornschein, L; Bonn, J; Flatt, B; Kovalik, A; Ostrick, B; Otten, EW; Schall, JP; Thümmler, T; Weinheimer, C

A new modification of NaCoPO₄with the zeolite ABW structure

Acta Crystallographica Section C Crystal Structure Communications

IF0

1999-06-15

PREAI

A. M. Chippindale; A. R. Cowley; J. Chen; Q. Gao; R. Xu

Effect of grape seed extract on puromycin-aminonucleoside-induced nephrosis in rats

Pediatric Nephrology

IF0

2003-09-01

PREAI

Tej K. Mattoo; Larisa Kovacevic

Cloning of Rat Interleukin-13 (IL-13) cDNA and Analysis of IL-13 Gene Expression in Experimental Glomerulonephritis

Biochemical and Biophysical Research Communications

IF0

1993-12-01

PREAI

F.G. Lakkis; E.N. Cruet

Precision measurement of the electron energy-loss function in tritium and deuterium gas for the KATRIN experiment

EUROPEAN PHYSICAL JOURNAL C

IF4.8

2021-07-05

OAAI

Aker, M.; Beglarian, A.; Behrens, J.; Berlev, A.; Besserer, U.; Bieringer, B.; Block, F.; Bornschein, B.; Bornschein, L.; Boettcher, M.; Brunst, T.; Caldwell, T. S.; Carney, R. M. D.; Chilingaryan, S.; Choi, W.; Debowski, K.; Deffert, M.; Descher, M.; Barrero, D. Diaz; Doe, P. J.; Dragoun, O.; Drexlin, G.; Edzards, F.; Eitel, K.; Ellinger, E.; Miniawy, A. El; Engel, R.; Enomoto, S.; Felden, A.; Formaggio, J. A.; Fraenkle, F. M.; Franklin, G. B.; Friedel, F.; Fulst, A.; Gauda, K.; Gil, W.; Glueck, F.; Groh, S.; Groessle, R.; Gumbsheimer, R.; Hannen, V.; Haussmann, N.; Heizmann, F.; Helbing, K.; Hickford, S.; Hiller, R.; Hillesheimer, D.; Hinz, D.; Hoehn, T.; Houdy, T.; Huber, A.; Jansen, A.; Karl, C.; Kellerer, J.; Kleesiek, M.; Klein, M.; Koehler, C.; Koellenberger, L.; Kopmann, A.; Korzeczek, M.; Kovalik, A.; Krasch, B.; Krause, H.; Kunka, N.; Lasserre, T.; La Cascio, L.; Lebeda, O.; Lehnert, B.; Le, T. L.; Lokhov, A.; Machatschek, M.; Malcherek, E.; Mark, M.; Marsteller, A.; Martin, E. L.; Meier, M.; Melzer, C.; Menshikov, A.; Mertens, S.; Mostafa, J.; Mueller, K.; Niemes, S.; Oelpmann, P.; Parno, D. S.; Poon, A. W. P.; Poyato, J. M. L.; Priester, F.; Ranitzsch, P. C. -O.; Robertson, R. G. H.; Rodejohann, W.; Rodenbeck, C.; Roellig, M.; Roettele, C.; Rysavy, M.; Sack, R.; Saenz, A.; Schaefer, P.; Schaller (nee Pollithy), A.; Schimpf, L.; Schloesser, K.; Schloesser, M.; Schlueter, L.; Schneidewind, S.; Schrank, M.; Schulz, B.; Schwachtgen, C.; Sefcik, M.; Seitz-Moskaliuk, H.; Sibille, V.; Siegmann, D.; Slezak, M.; Steidl, M.; Sturm, M.; Sun, M.; Tcherniakhovski, D.; Telle, H. H.; Thorne, L. A.; Thuemmler, T.; Titov, N.; Tkachev, I.; Trost, N.; Urban, K.; Valerius, K.; Venos, D.; Hernandez, A. P. Vizcaya; Weinheimer, C.; Welte, S.; Wendel, J.; Wilkerson, J. F.; Wolf, J.; Wuestling, S.; Xu, W.; Yen, Y. -R.; Zadoroghny, S.; Zeller, G.

The EU General Data Protection Regulation (GDPR)欧盟通用数据保护条例 (GDPR)

IF0

2017-01-01

PREAI

Paul Voigt; Axel von dem Bussche

SciPy 1.0: fundamental algorithms for scientific computing in Python (vol 33, pg 219, 2020)

NATURE METHODS

IF32.1

2020-02-24

OAAI

Virtanen, Pauli; Gommers, Ralf; Oliphant, Travis E.; Haberland, Matt; Reddy, Tyler; Cournapeau, David; Burovski, Evgeni; Peterson, Pearu; Weckesser, Warren; Bright, Jonathan; van der Walt, Stefan J.; Brett, Matthew; Wilson, Joshua; Millman, K. Jarrod; Mayorov, Nikolay; Nelson, Andrew R. J.; Jones, Eric; Kern, Robert; Larson, Eric; Carey, C. J.; Polat, Ilhan; Feng, Yu; Moore, Eric W.; VanderPlas, Jake; Laxalde, Denis; Perktold, Josef; Cimrman, Robert; Henriksen, Ian; Quintero, E. A.; Harris, Charles R.; Archibald, Anne M.; Ribeiro, Antonio H.; Pedregosa, Fabian; van Mulbregt, Paul

没有更多内容