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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Simulated and Reconstructed Events with CMS and DELPHES

Authors: Dreyer, Etienne; Gross, Eilam; Kobylianskii, Dmitrii; Mikuni, Vinicius; Nachman, Benjamin;

Simulated and Reconstructed Events with CMS and DELPHES

Abstract

We provide the dataset used for fast simulation studies. The dataset consists of preprocessed CMS Open Data for the ttbar, gg->H->4l, QCD 470, and QCD 600 processes. Each file includes a branch with stable input particles before detector simulation and a branch with the reconstructed particle flow candidates. A 1 GeV pT cut is applied to the particle flow candidates, while a 0.25 GeV cut is applied to the stable input particles. Additionally, a |η| < 2.7 cut is applied to both collections. Our model was trained on the first 2,800,000 events from the `qcd470_ttbar_train_cms.root` file, with the remaining 35,000 events used for validation. Each test file contains 100,000 events. For comparison, we provide detector simulations obtained with DELPHES 3.5 for the same set of truth-level events. We used the CMS card with pileup, including an average of 6.35 pileup vertices per event. To match the full simulation, we disabled the smearing of the truth primary vertex in Delphes, while the pileup vertices were smeared using the default values.

Keywords

cms, open data, delphes, lhc, simulation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average