Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
research_details [2019/11/13 13:41]
jthaler [Jet Substructure for Boosted Objects]
research_details [2019/11/22 02:37] (current)
jthaler [Data Science and Machine Learning]
Line 17: Line 17:
  
 Machine learning has impacted many scientific fields, and particle physics is no exception. ​ In my research, I aim to enhance the search for new phenomena at colliders by merging the performance of deep learning algorithms with the robustness of "deep thinking"​ approaches. Machine learning has impacted many scientific fields, and particle physics is no exception. ​ In my research, I aim to enhance the search for new phenomena at colliders by merging the performance of deep learning algorithms with the robustness of "deep thinking"​ approaches.
 +
 +  * **OmniFold: A Method to Simultaneously Unfold All Observables**. \\ Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, and Jesse Thaler. \\ [[https://​arxiv.org/​abs/​1911.09107|arXiv:​1911.09107]].
  
   * **The Metric Space of Collider Events**. \\ Patrick T. Komiske, Eric M. Metodiev, and Jesse Thaler. ​ \\ [[http://​dx.doi.org/​10.1103/​PhysRevLett.123.041801|Phys. Rev. Lett. 123:041801 (2019)]] ([[https://​physics.aps.org/​articles/​v12/​85|Viewpoint]]),​ [[https://​arxiv.org/​abs/​1902.02346|arXiv:​1902.02346]].   * **The Metric Space of Collider Events**. \\ Patrick T. Komiske, Eric M. Metodiev, and Jesse Thaler. ​ \\ [[http://​dx.doi.org/​10.1103/​PhysRevLett.123.041801|Phys. Rev. Lett. 123:041801 (2019)]] ([[https://​physics.aps.org/​articles/​v12/​85|Viewpoint]]),​ [[https://​arxiv.org/​abs/​1902.02346|arXiv:​1902.02346]].
research_details.txt ยท Last modified: 2019/11/22 02:37 by jthaler