The ILD Software Tools and Detector Performance

The ILD detector is a detector concept designed for high precision physics at the ILC. It is optimized for particle flow event reconstruction with extremely precise tracking capabilities and highly granular calorimeters. Over the last decade ILD has developed a suite of sophisticated software components for simulation and reconstruction in the context of the iLCSoft ecosystem in collaboration with other future collider projects. We will present an overview of the ILD software from the detailed and realistic modeling of the detector with DD4hep, over the event reconstruction algorithms with its pattern recognition and particle flow algorithms to the high level reconstruction for flavor tagging and particle identification. Most of the these tools have been developed in a detector agnostic way and are also applicable to other future lepton colliders. Finally we will present an overview of the resulting detector performance that can be achieved with ILD following the ILD Interim Design Report (IDR) that recently has been made public

The DQM4hep project - CHEP 2018 conference

Data quality monitoring is the first step to the certification of the recorded data for off-line physics analysis. Dedicated monitoring framework have been developed by many experiments in the past and usually rely on the event data model (EDM) of the experiment, leading to a strong dependency on the data format and storage. We present here a generic data quality monitoring system, DQM4HEP, that has been developed without any assumption on the EDM. This increases the code maintenance, the portability across different experiments and re-usability for future experiment.We present the framework architecture and the various tools provided by the software package as well as various performances such as memory usage, stability and network bandwidth. We give an overview of the different experiments using DQM4HEP and the foreseen integration in future other experiments. We finally present the ongoing and future software development for DQM4HEP and long term prospects