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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.06559 |
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| _version_ | 1866918145944453120 |
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| author | Pană, Gabriel Tiberiu Gogîţă, Paul-Adrian Nicolin-Żaczek, Alexandru |
| author_facet | Pană, Gabriel Tiberiu Gogîţă, Paul-Adrian Nicolin-Żaczek, Alexandru |
| contents | We report here a series of detailed statistical analyses on the sea level variations in the Port of Trieste using one of the largest existing catalogues that covers more than a century of measurements. We show that the distribution of waiting times, which are defined here akin to econophysics, namely the series of shortest time spans between a given sea level L and the next sea level of at least L + δ in the catalogue, exhibits a distinct scale-free character for small values of δ, while for larger values of δ the distribution is very similar to the exponential distribution. The distribution of waiting times for small values of δ is typical for complex systems exhibiting criticality and is reported abundantly in the literature, while the exponential-like distribution observed for large values of δ has been observed in contexts as diverse as magnetic systems and light sleep duration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_06559 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Waiting times for sea level variations in the Port of Trieste: a computational data-driven study Pană, Gabriel Tiberiu Gogîţă, Paul-Adrian Nicolin-Żaczek, Alexandru Computational Physics Physics and Society We report here a series of detailed statistical analyses on the sea level variations in the Port of Trieste using one of the largest existing catalogues that covers more than a century of measurements. We show that the distribution of waiting times, which are defined here akin to econophysics, namely the series of shortest time spans between a given sea level L and the next sea level of at least L + δ in the catalogue, exhibits a distinct scale-free character for small values of δ, while for larger values of δ the distribution is very similar to the exponential distribution. The distribution of waiting times for small values of δ is typical for complex systems exhibiting criticality and is reported abundantly in the literature, while the exponential-like distribution observed for large values of δ has been observed in contexts as diverse as magnetic systems and light sleep duration. |
| title | Waiting times for sea level variations in the Port of Trieste: a computational data-driven study |
| topic | Computational Physics Physics and Society |
| url | https://arxiv.org/abs/2403.06559 |