Stitching Monte Carlo samples

Monte Carlo (MC) simulations are extensively used for various purposes in modern high-energy physics (HEP) experiments. Precision measurements of established Standard Model processes or searches new often require the collection vast amounts data. It is difficult to produce MC samples containing an adequate number events allow a meaningful comparison with data, as substantial computing resources required and store such samples. One solution employed when producing HEP experiments partition phase space particle interactions into multiple regions separately each region. This approach allows adapt size needs analyses that performed these regions. In this paper we present procedure combining overlap space. The based on applying suitably chosen weights simulated events. We refer "stitching". includes different examples proton-proton collisions at CERN Large Hadron Collider.