ATLAS SUSY Searches in Wh1Lbb Channel Open Data Set

The dataset is organised into 16 folders, each containing root files derived from Monte Carlo (MC) simulations. These files encompass both object-level and event-level variables, incorporating their associated systematic uncertainties.</p> <p>Within these folders, 14 pertain to Standard Model background samples, with three major contributors being Single Top, ttbar, and W jets. The remaining two folders house signal samples and theory uncertainties for all MC-generated events.

Each file is enriched with additional variables representing BDT scores for both Signal and Backgrounds.</p> <p>Adopting a 1 vs all strategy, separate BDTs undergo individual training, reweighing, and optimisation tailored to specific classifications. The resultant scores conform to a comprehensive classification framework, providing sample-targeted independent probabilities spanning from 0 to 1 for all noteworthy Backgrounds and Signal categories.

These scores serve as benchmarks for evaluating other cutting-edge models, such as Graph Neural Networks (GNNs), in the ongoing exploration of competitive state-of-the-art methodologies.</p><p>The dataset contains a total number of 12,380,322 events of which more than 6 million are ttbar events, 463,056 events in MC-generated Signal samples, and 23,251,217 events in theory samples.</p>