Journal
COMPUTER PHYSICS COMMUNICATIONS
Volume 262, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.cpc.2020.107813
Keywords
Python; Boltzmann equation; Leptogenesis; Neutrino physics
Funding
- Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility
- European Research Council under the European Union [617143]
- Fermi Research Alliance, LLC (FRA) [DE-AC02-07CH11359]
- U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program [1013935]
- U.S. Department of Energy [DE-AC02-76SF00515]
- European Research Council (ERC) [617143] Funding Source: European Research Council (ERC)
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ULYSSES is a Python package that calculates the baryon asymmetry produced from leptogenesis in the context of a type-I seesaw mechanism. The code provides predefined Boltzmann equations and a plugin mechanism, as well as tools for multi-dimensional parameter space exploration. User flexibility and rapid evaluation are emphasized in the code.
ULYSSES is a python package that calculates the baryon asymmetry produced from leptogenesis in the context of a type-I seesaw mechanism. The code solves the semi-classical Boltzmann equations for points in the model parameter space as specified by the user. We provide a selection of predefined Boltzmann equations as well as a plugin mechanism for externally provided models of leptogenesis. Furthermore, the ULYSSES code provides tools for multi-dimensional parameter space exploration. The emphasis of the code is on user flexibility and rapid evaluation. It is publicly available at https://gith ub.com/earlyuniverse/ulysses. Program summary Program Title: ULYSSES CPC Library link to program files: https://doi.org/10.17632/rzd24f34h2.1 Developer's repository link: github.com/earlyuniverse/ulysses Licensing provisions: MIT Programming language: python3 Nature of problem: Solving semi-classical momentum averaged Boltzmann equations for leptogenesis in the context of a type-I seesaw mechanism. Solution method: Numerically solving coupled differential equations that can be complex. (c) 2020 Elsevier B.V. All rights reserved.
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