DESY plays a significant role in the German national research data infrastructure, with the PUNCH4NFDI and DAPHNE4NFDI consortia both being led by DESY scientists, and with strong contributions to their science goals. The NFDI consortia are now half-way through their first funding period of five years, and deliberations and discussions are commencing on the future setup of PUNCH4NFDI and...
The Belle II experiment at the SuperKEKB accelerator aims at precision measurements in B, tau and charm physic sectors. Many such measurements rely on high precision vertexing and thus precise alignment of the detection elements. A global alignment method utilizing Millepede II software package will be presented, which determines around sixty thousand alignment parameters simultaneously....
The CMS Generative Machine Learning Group will showcase three distinct projects, each utilizing point cloud-based generative models to advance particle physics research. The first project, "Attention to Mean Fields for Particle Cloud Generation", features an attention-based generative model that adeptly processes complex collider data represented as point clouds, demonstrating effectiveness on...
Modern scientific experiments often generate large amounts of data, posing challenges for real-time processing and analysis. ASAPO, a high-performance streaming framework developed at DESY, addresses these challenges by providing a robust solution for online and offline data processing. Leveraging TCP/IP and RDMA over Ethernet and Infiniband, ASAPO facilitates high-bandwidth communication...
!!!Please place me into the Monday afternoon 4:30 pm - 6 pm session!!!
Neural Networks (NNs) can be used to solve Ordinary and Partial Differential Equations (ODEs and PDEs) by redefining the question as an optimization problem. The objective function to be optimized is the sum of the squares of the PDE to be solved and of the initial/boundary conditions. A feed forward NN is trained to...
Within the EU-Project RF2.0, DESY focus on sustainable scientific computing infrastructure splitted into more classical/obvious directions like, new architectures, longer system lifetimes, software efficiencies etc. and the model to operate a decent amount of compute resources with variable power consumption coupled to 'true RE power' availability at DESY location by steering the compute load...
We investigate the potential of quantum computers for pattern recognition in track reconstruction at LUXE, based on a quadratic unconstrained binary optimisation and a quantum graph neural network.
The Quantum Angle Generator (QAG) is a new quantum machine learning model designed to produce precise images on current Noise Intermediate Scale (NISQ) Quantum devices. The QAG model uses variational quantum circuits as its core, and multiple circuit architectures are evaluated.
This study explores the QAG model's noise robustness through an extensive quantum noise study. The results indicate...
An overview of my ongoing research projects with CQTA Zeuthen and a brief overview of where QC could be used in SC in the future.
I would like to report on activities of the IT-RIC group in supporting DESY scientific domains. This includes but is not limited to our work on:
- using Artificial Intelligence for advancing imaging in scientific applications;
- providing an open science platform including a catalogue for open data at DESY;
- providing a Helmholtz-wide Scientific IT Infrastructure, in collaboration...
We investigate the use of quantum algorithms to reconstruct charged particle trajectories from 4D tracker measurements.
The tracking system of the CMS experiment is the world’s largest silicon tracker with its 1856 and 15148 silicon pixel and strip modules, respectively. To accurately reconstruct trajectories of charged particles the position, rotation and curvature of each module must be corrected such that the alignment resolution is smaller than, or comparable to, the hit resolution. This procedure is known...
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.
