{"url":"/dataset/simulated-tgc-for-muon-angle-fitting","name":"Simulated TGC for Muon Angle Fitting","full_name":null,"description_markdown":"#### Dataset Details\r\n\r\nThis dataset is primarily created for the work [Fast muon tracking with machine learning implemented in FPGA](http://dx.doi.org/10.1016/j.nima.2022.167546) ([Arxiv link](https://arxiv.org/abs/2202.04976)) that contains ~3M simulated muon events with Geant4.\r\nHits in the muon chamber and ground truth of track angle are saved.\r\n\r\n#### Dataset Description\r\n\r\nPlease refer to the Section Simulation samples in the referenced work for details.\r\n\r\nThe file contains 3 keys: 'X', 'Y', and 'corr'.\r\n\r\n'X' is a boolean array of size (3072000, 7, 50) used as the input information.\r\n\r\n'Y' is a float vector of size (3072000) that contains the ground truth angle to be predicted.\r\n\r\n'corr' contains three keys each of size (100, 100) that contains the Pearson correlation factor between the named stations that can be derived from X. Not useful for general purpose.","description_withheld":null,"homepage":"https://huggingface.co/datasets/Calad/fake-TGC","introduced_date":"2022-11-06","introduced_date_note":null,"introduced_by":null,"license":{"name":"Apache 2.0","url":null},"modalities":[],"tasks":[{"name":"regression","url":"/task/regression-1","datasets_with_task":"/datasets/task/regression-1"}],"languages":[],"variants":["Simulated TGC for Muon Angle Fitting"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}