Simulation of an imaging calorimeter to demonstrate GarNet on FPGA

Open data API in a single place

Provided by Zenodo

Get early access to Simulation of an imaging calorimeter to demonstrate GarNet on FPGA API!

Let us know and we will figure it out for you.

Dataset information

Country of origin
Updated
2020.08.19 00:00
Created
2020.06.10
Available languages
English
Keywords
Fast inference, Graph neural network, Particle reconstruction, Particle identification, Imaging calorimeter
Quality scoring

Dataset description

This data set is an output of a simulation of electrons and pions shot at a chunk of an imaging calorimeter. It is used in the case study for GarNet-on-FPGA, documented in arXiv:2008.03601. Each HDF5 file contains the following arrays:            Name  | Shape              |   Description cluster | (10000, 128, 4) | Samples for training and inference. Outermost dimension is the event (cluster). Each cluster has maximum 128 hits, each of which has four features: x, y, z, and energy. The coordinates of the hits are in cm. The energy is in GeV. The x and y coordinates are relative to the seed hit, while the z coordinate is with respect to the calorimeter front face. size     | (10000)             | Number of hits in each cluster. The cluster array is zero-padded when the cluster size is below 128. truth_pid | (10000) | Identity of the primary particle (0: electron, 1: pion). truth_energy | (10000) | True energy of the primary particle. raw | (10000, 4375, 2) | Raw data (actual output of the simulation). For each event (outermost dimension), hit energy and primary fraction (innermost dimension indices 0 and 1) are given for each of the 4375 sensors. Energy is in MeV. coordinates | (4375, 3) | The x, y, and z coordinates of the 4375 sensors, to be used to interpret the raw data. See the paper for the details of the simulation.
European data infrastructure with broad catalog discovery, free evaluation access and production-grade API options.
190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
FAQ

Questions before production use

Practical answers on evaluation, licensing, freshness, versioning and support.

api.store is built and operated by Apitalks s.r.o. Company details and a direct contact path are linked in the footer for vendor checks and procurement review.
Yes. Selected APIs include a free API quota, so your team can validate coverage, freshness, response shape and workflow fit before asking for a production plan.
Often yes, but usage rights depend on the source license and dataset. We surface source, license and update metadata where available, and can help review terms before a production integration.
Maintained APIs include update metadata where available. For production integrations, we can add history, monitoring and push updates so changes are easier to detect and act on.
Production APIs can add SLA, stable identifiers, versioning support, history, push updates and direct support around the data your product or AI workflow depends on.

Didn't find the API you need?

Let us know and we will figure it out for you.

European data discovery with free evaluation access and production-grade API options.

Copyright © 2026. Made by Apitalks