Searching for Lorentz invariance violation with artificial neural networks
Fuente:
arXiv
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914044879831040 |
|---|---|
| author | Terzić, Tomislav Mrakovčić, Karlo |
| author_facet | Terzić, Tomislav Mrakovčić, Karlo |
| contents | Lorentz invariance violation (LIV) can have multiple consequences on very-high energy gamma rays' emission, propagation, and detection, such as energy-dependent photon group velocity, photon instability, vacuum birefringence, and modified electromagnetic interaction. Depending on the underlying theoretical model, several of these effects can coexist. Nevertheless, in experimental tests of LIV, each effect is tested separately and independently. Here, we are performing a search for traces of several coexisting effects in a single analysis. We present our analysis method based on artificial neural networks and put our very first results in the context of experimental searches for LIV. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_14818 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Searching for Lorentz invariance violation with artificial neural networks Terzić, Tomislav Mrakovčić, Karlo High Energy Astrophysical Phenomena High Energy Physics - Experiment High Energy Physics - Phenomenology Lorentz invariance violation (LIV) can have multiple consequences on very-high energy gamma rays' emission, propagation, and detection, such as energy-dependent photon group velocity, photon instability, vacuum birefringence, and modified electromagnetic interaction. Depending on the underlying theoretical model, several of these effects can coexist. Nevertheless, in experimental tests of LIV, each effect is tested separately and independently. Here, we are performing a search for traces of several coexisting effects in a single analysis. We present our analysis method based on artificial neural networks and put our very first results in the context of experimental searches for LIV. |
| title | Searching for Lorentz invariance violation with artificial neural networks |
| topic | High Energy Astrophysical Phenomena High Energy Physics - Experiment High Energy Physics - Phenomenology |
| url | https://arxiv.org/abs/2509.14818 |