This talk will discuss recent work towards developing a ML (CNN/GNN) tagger to distinguish anomalous showers caused by the decays of long-lived particles from QCD jets with the ATLAS detector
dCache is a storage system for scientific
institutions that manages large amounts
of data in a distributed system. Although
the dCache code base already has self-
regulating mechanisms, there are still
situations in daily operation, in which
the storage system is overloaded. The
challenge of the project is to
identify indicators, which can be used to
reliably identify the times and...
In this talk, I will discuss the basic ideas of Monte Carlo algorithms for computing correlation functions and how to extract physical information from them. In particular, I will discuss our recent use of advanced algorithms to reduce the statistical errors.
Following FAIR principles, we are setting up portals for access to Open Data and the corresponding infrastructure to explore the published data sets. The open datasets and their metadata are available in a Scicat instance to everyone interested and can either be downloaded directly or accessed through an open infrastructure portal called VISA upon reasonable request.
In the short talk I will...
Particle cascades originating from quarks and gluons decays (jets) are omnipresent in proton-proton collisions at the LHC. The identification of jet flavours is essential for many physics searches at the ATLAS experiment. This is achieved using machine learning algorithms (taggers) which combine tracks and jets information to determine the flavour of the jets ($b$-jets, $c$-jets and light...
The main objectives of the project are to to develop a user friendly service via which users will be able to publish open data following the FAIR principles and also to find these published data again and access them in a convenient and performant way. The service shall be operable via
a large language model based user interface so that users would be able to ''talk'' to the service...
A novel approach for fast simulation of energy depositions in high-granular detectors, essential for upcoming high-luminosity collider experiments.
