Interdisciplinary Digital Twin Engine InterTwin for calorimeter simulation
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_ | 1866911392953532416 |
|---|---|
| author | Allaire, Corentin Maiboroda, Vera Rousseau, David |
| author_facet | Allaire, Corentin Maiboroda, Vera Rousseau, David |
| contents | Calorimeter shower simulations are computationally expensive, and generative models offer an efficient alternative. However, achieving a balance between accuracy and speed remains a challenge, with distribution tail modeling being a key limitation. Invertible generative network CaloINN provides a trade-off between simulation quality and efficiency. The ongoing study targets introducing a set of post-processing modifications of analysis-level observables aimed at improving the accuracy of distribution tails. As part of interTwin project initiative developing an open-source Digital Twin Engine, we implemented the CaloINN within the interTwin AI framework. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_26527 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interdisciplinary Digital Twin Engine InterTwin for calorimeter simulation Allaire, Corentin Maiboroda, Vera Rousseau, David High Energy Physics - Experiment Calorimeter shower simulations are computationally expensive, and generative models offer an efficient alternative. However, achieving a balance between accuracy and speed remains a challenge, with distribution tail modeling being a key limitation. Invertible generative network CaloINN provides a trade-off between simulation quality and efficiency. The ongoing study targets introducing a set of post-processing modifications of analysis-level observables aimed at improving the accuracy of distribution tails. As part of interTwin project initiative developing an open-source Digital Twin Engine, we implemented the CaloINN within the interTwin AI framework. |
| title | Interdisciplinary Digital Twin Engine InterTwin for calorimeter simulation |
| topic | High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2509.26527 |