Publications

2026

1. 

   High Multiplicity Trigger for long-lived particles in CMS detector

   M. Abbott and others

   JINST, 2026

   DOI arXiv Cite

   @article{Abbott:2026nji,
     doi = {10.1088/1748-0221/21/07/P07040},
     title = {High Multiplicity Trigger for long-lived particles in CMS detector},
     author = {Abbott, M. and others},
     journal = {JINST},
     volume = {21},
     number = {07},
     pages = {P07040},
     year = {2026},
     archiveprefix = {arXiv},
     primaryclass = {hep-ex},
   }

2. 

   Improved results on Higgs boson pair production in the 4b final state

   CMS Collaboration

   Physical Review D, Sep 2026

   DOI arXiv Cite Code

   @article{cmscollaboration2026improvedresultshiggsboson,
     doi = {10.1103/w2zp-fckl},
     title = {Improved results on Higgs boson pair production in the 4b final state},
     author = {{CMS Collaboration}},
     journal = {Physical Review D},
     year = {2026},
     month = sep,
     publisher = {American Physical Society},
     archiveprefix = {arXiv},
     primaryclass = {hep-ex},
   }

3. 

   The CMS barrel timing layer: test beam confirmation of module timing performance

   F. Addesa and others

   Nucl. Instrum. Meth. A, 2026

   DOI arXiv Cite

   @article{Addesa:2025kyl,
     doi = {10.1016/j.nima.2025.170823},
     title = {The CMS barrel timing layer: test beam confirmation of module timing performance},
     author = {Addesa, F. and others},
     journal = {Nucl. Instrum. Meth. A},
     volume = {1081},
     pages = {170823},
     year = {2026},
     archiveprefix = {arXiv},
     primaryclass = {physics.ins-det},
   }

2025

1. 

   RINO: Renormalization Group Invariance with No Labels

   Zichun Hao, Raghav Kansal, Abhijith Gandrakota, Chang Sun, Jennifer Ngadiuba, Javier Duarte, and Maria Spiropulu

   Nov 2025

   ML4PS spotlight arXiv Cite Code Poster

   Spotlight paper at the ML4PS workshop at NeurIPS 2025, offered to about 1% of the workshop’s accepted papers.

   @misc{hao2025rino,
     title = {RINO: Renormalization Group Invariance with No Labels},
     author = {Hao, Zichun and Kansal, Raghav and Gandrakota, Abhijith and Sun, Chang and Ngadiuba, Jennifer and Duarte, Javier and Spiropulu, Maria},
     year = {2025},
     month = nov,
     archiveprefix = {arXiv},
     primaryclass = {hep-ph},
   }

2. 

   An Evaluation of Representation Learning Methods in Particle Physics Foundation Models

   Michael Chen, Raghav Kansal, Abhijith Gandrakota, Zichun Hao, Jennifer Ngadiuba, and Maria Spiropulu

   Nov 2025

   arXiv Cite Poster

   @article{chen2025evaluation,
     title = {An Evaluation of Representation Learning Methods in Particle Physics Foundation Models},
     author = {Chen, Michael and Kansal, Raghav and Gandrakota, Abhijith and Hao, Zichun and Ngadiuba, Jennifer and Spiropulu, Maria},
     year = {2025},
     month = nov,
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
   }

3. 

   Particle transformers for identifying Lorentz-boosted Higgs bosons decaying to a pair of W bosons

   CMS Collaboration

   2025

   arXiv Cite

   @techreport{CMS-PAS-JME-25-001,
     title = {Particle transformers for identifying Lorentz-boosted Higgs bosons decaying to a pair of W bosons},
     author = {{CMS Collaboration}},
     journal = {Submitted to JHEP},
     institution = {CERN},
     address = {Geneva},
     year = {2025},
     number = {CMS-PAS-JME-25-001},
     url = {https://cds.cern.ch/record/2958775},
   }

2024

1. 

   Search for highly energetic double Higgs boson production in the two bottom quark and two vector boson all-hadronic final state

   CMS Collaboration

   2024

   Cite

   @techreport{CMS-PAS-HIG-23-012,
     title = {Search for highly energetic double Higgs boson production in the two bottom quark and two vector boson all-hadronic final state},
     author = {{CMS Collaboration}},
     institution = {CERN},
     address = {Geneva},
     year = {2024},
     number = {CMS-PAS-HIG-23-012},
     url = {https://cds.cern.ch/record/2904879},
   }

2023

1. 

   JetNet: A Python Package for Accessing Open Datasets and Benchmarking Machine Learning Methods in High Energy Physics

   Raghav Kansal, Carlos Pareja, Zichun Hao, and Javier Duarte

   Journal of Open Source Software, 2023

   DOI Cite Code

   @article{kansal2023jetnet,
     doi = {10.21105/joss.05789},
     title = {JetNet: A Python Package for Accessing Open Datasets and Benchmarking Machine Learning Methods in High Energy Physics},
     author = {Kansal, Raghav and Pareja, Carlos and Hao, Zichun and Duarte, Javier},
     journal = {Journal of Open Source Software},
     volume = {8},
     number = {90},
     pages = {5789},
     year = {2023},
   }

2. 

   Lorentz Group Equivariant Autoencoders

   Zichun Hao, Raghav Kansal, Javier Duarte, and Nadezda Chernyavskaya

   The European Physical Journal C, 2023

   DOI arXiv Cite Code

   @article{hao2023lgae,
     doi = {10.1140/epjc/s10052-023-11633-5},
     title = {Lorentz Group Equivariant Autoencoders},
     author = {Hao, Zichun and Kansal, Raghav and Duarte, Javier and Chernyavskaya, Nadezda},
     journal = {The European Physical Journal C},
     volume = {83},
     pages = {485},
     year = {2023},
   }