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LEMURS-ds3 dataset: Large-scale ElectroMagnetic Universal Representation of Showers with higher granularity

Title: LEMURS-ds3 dataset: Large-scale ElectroMagnetic Universal Representation of Showers with higher granularity
Authors: Zaborowska, Anna; Raikwar, Piyush; McKeown, Peter
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Description: This dataset (LEMURS-ds3) is a follow-up of LEMURS dataset, but using a single detector (Par04 SiW), but with a higher granularity. The structure of the dataset is identical to LEMURS, with the dimension of Universal Representation of Showers changed from (R,Phi,Z) = (9,16,45) to (R,Phi,Z)=(18, 50, 45). This means that radially the voxels are twice smaller, and in azimuthal angle the full 2*pi is divided by 50 instead of 16 voxels. This granularity is an equivalent of CaloChallenge dataset3 (hence the name). The same detector was used in both cases, here photon showers are presented, and in a much larger scale (1 million showers) and much wider region of the detector (theta, phi). The structure of the HDF5 file is as follows: Dataset name Shape Description incident_energy (S) Incident particle energy incident_phi (S) Incident azimuthal angle incident_theta (S) Incident polar angle showers (S,R,Phi,Z)=(S,18,50,45) Showers in Unified Representation Grid 10 files of the training datasets contain 100k showers each (initiated by incident photons). The zip archive contains additionally 2 discrete testing datasets (`testing/`) with 1k showers that may be used for final validation, with validation plots as described in detail for LEMURS dataset in its description on arXiV within `plots/` directory (both for testing and training datasets).
Document Type: dataset
Language: unknown
Relation: https://zenodo.org/records/17077137; oai:zenodo.org:17077137; https://doi.org/10.5281/zenodo.17077137
DOI: 10.5281/zenodo.17077137
Availability: https://doi.org/10.5281/zenodo.17077137; https://zenodo.org/records/17077137
Rights: Creative Commons Attribution Share Alike 4.0 International ; cc-by-sa-4.0 ; https://creativecommons.org/licenses/by-sa/4.0/legalcode
Accession Number: edsbas.B07F924
Database: BASE