Hierarchies from landscape probability gradients and critical boundaries
Abstract If the gradient of a probability distribution on a landscape of vacua aligns with the variation of some fundamental parameter, the parameter may be likely to take some non-generic value. Such non-generic values can be associated to critical boundaries, where qualitative changes of the lands...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-08-01
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| Series: | Journal of High Energy Physics |
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| Online Access: | https://doi.org/10.1007/JHEP08(2024)170 |
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| author | Oleksii Matsedonskyi |
| author_facet | Oleksii Matsedonskyi |
| author_sort | Oleksii Matsedonskyi |
| collection | DOAJ |
| description | Abstract If the gradient of a probability distribution on a landscape of vacua aligns with the variation of some fundamental parameter, the parameter may be likely to take some non-generic value. Such non-generic values can be associated to critical boundaries, where qualitative changes of the landscape properties happen, or an anthropic bound is located. Assuming the standard volume-weighted and the local probability measures, we discuss ordered landscapes which can produce several types of the aligned probability gradients. The resulting values of the gradients are defined by the “closeness” of a given vacuum to the highest- or the lowest-energy vacuum. Using these ingredients we construct a landscape scanning independently the Higgs mass and the cosmological constant (CC). The probability gradient pushes the Higgs mass to its observed value, where a structural change of the landscape takes place, while the CC is chosen anthropically. |
| format | Article |
| id | doaj-art-a7aa7c58c13b4dc3b0323292aa2a8ff6 |
| institution | OA Journals |
| issn | 1029-8479 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of High Energy Physics |
| spelling | doaj-art-a7aa7c58c13b4dc3b0323292aa2a8ff62025-08-20T02:32:52ZengSpringerOpenJournal of High Energy Physics1029-84792024-08-012024813610.1007/JHEP08(2024)170Hierarchies from landscape probability gradients and critical boundariesOleksii Matsedonskyi0Technische Universität München, Physik-DepartmentAbstract If the gradient of a probability distribution on a landscape of vacua aligns with the variation of some fundamental parameter, the parameter may be likely to take some non-generic value. Such non-generic values can be associated to critical boundaries, where qualitative changes of the landscape properties happen, or an anthropic bound is located. Assuming the standard volume-weighted and the local probability measures, we discuss ordered landscapes which can produce several types of the aligned probability gradients. The resulting values of the gradients are defined by the “closeness” of a given vacuum to the highest- or the lowest-energy vacuum. Using these ingredients we construct a landscape scanning independently the Higgs mass and the cosmological constant (CC). The probability gradient pushes the Higgs mass to its observed value, where a structural change of the landscape takes place, while the CC is chosen anthropically.https://doi.org/10.1007/JHEP08(2024)170Cosmology of Theories BSMHierarchy Problem |
| spellingShingle | Oleksii Matsedonskyi Hierarchies from landscape probability gradients and critical boundaries Journal of High Energy Physics Cosmology of Theories BSM Hierarchy Problem |
| title | Hierarchies from landscape probability gradients and critical boundaries |
| title_full | Hierarchies from landscape probability gradients and critical boundaries |
| title_fullStr | Hierarchies from landscape probability gradients and critical boundaries |
| title_full_unstemmed | Hierarchies from landscape probability gradients and critical boundaries |
| title_short | Hierarchies from landscape probability gradients and critical boundaries |
| title_sort | hierarchies from landscape probability gradients and critical boundaries |
| topic | Cosmology of Theories BSM Hierarchy Problem |
| url | https://doi.org/10.1007/JHEP08(2024)170 |
| work_keys_str_mv | AT oleksiimatsedonskyi hierarchiesfromlandscapeprobabilitygradientsandcriticalboundaries |