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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.11977 |
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| _version_ | 1866916845625278464 |
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| author | Mokhtar, Farouk |
| author_facet | Mokhtar, Farouk |
| contents | The study of boosted Higgs bosons at the LHC provides a unique window to probe Higgs boson couplings at high energy scales and search for signs of physics beyond the standard model. In these proceedings, we present recent results on boosted Higgs boson searches at the CMS experiment, highlighting innovative reconstruction and tagging techniques that enhance sensitivity in this challenging regime. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11977 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Recent results on searches with boosted Higgs bosons at CMS Mokhtar, Farouk High Energy Physics - Experiment Machine Learning The study of boosted Higgs bosons at the LHC provides a unique window to probe Higgs boson couplings at high energy scales and search for signs of physics beyond the standard model. In these proceedings, we present recent results on boosted Higgs boson searches at the CMS experiment, highlighting innovative reconstruction and tagging techniques that enhance sensitivity in this challenging regime. |
| title | Recent results on searches with boosted Higgs bosons at CMS |
| topic | High Energy Physics - Experiment Machine Learning |
| url | https://arxiv.org/abs/2507.11977 |