Loss function to optimise signal significance in particle physics
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910743362797568 |
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| author | Bardhan, Jai Neeraj, Cyrin Mitra, Subhadip Mandal, Tanumoy |
| author_facet | Bardhan, Jai Neeraj, Cyrin Mitra, Subhadip Mandal, Tanumoy |
| contents | We construct a surrogate loss to directly optimise the significance metric used in particle physics. We evaluate our loss function for a simple event classification task using a linear model and show that it produces decision boundaries that change according to the cross sections of the processes involved. We find that the models trained with the new loss have higher signal efficiency for similar values of estimated signal significance compared to ones trained with a cross-entropy loss, showing promise to improve sensitivity of particle physics searches at colliders. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_09500 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Loss function to optimise signal significance in particle physics Bardhan, Jai Neeraj, Cyrin Mitra, Subhadip Mandal, Tanumoy High Energy Physics - Phenomenology Machine Learning High Energy Physics - Experiment We construct a surrogate loss to directly optimise the significance metric used in particle physics. We evaluate our loss function for a simple event classification task using a linear model and show that it produces decision boundaries that change according to the cross sections of the processes involved. We find that the models trained with the new loss have higher signal efficiency for similar values of estimated signal significance compared to ones trained with a cross-entropy loss, showing promise to improve sensitivity of particle physics searches at colliders. |
| title | Loss function to optimise signal significance in particle physics |
| topic | High Energy Physics - Phenomenology Machine Learning High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2412.09500 |