In the era of astronomical "big data", with the amount of observational
data ever-increasing and about to increase by orders of magnitudes
during the next decade, machine learning has become not only a commodity
but also a necessity. At the same time, the application of machine
learning methods to astrophysical problems yields many specific
challenges. One of them is related to the fact...
The upcoming large-scale surveys like LSST are expected to find approximately $10^5$ strong gravitational lenses by analysing data of many orders of magnitude larger than those in contemporary astronomical surveys. In this scenario, non-automated techniques will be highly challenging and time-consuming, even if they are possible at all. We propose a new automated architecture based on the...
The LHCb is one of the four main experiments discovering cutting-edge physics at the Large Hadron Collider. The effects of the harsh conditions of constant radiation require maximum thought and care. This includes research for new applications and novel algorithms that will help to understand and predict the behaviour of the vertex locator detector at LHCb. Our studies include methods based on...
Despite the large amount of data generated by the Large Hadron Collider
(LHC)
so far, searches for new physics have not yet provided any clear evidence of beyond the Standard Model (BSM) physics. Most of these experimental searches focus on exclusive channels, looking for excesses in specific final states.
However, new physics could manifest as a dispersed signal over many channels.
It...
Run 3 of the Large Hadron Collider (LHC) of the data-taking period poses unprecedented challenges to the computing models used in the high-energy physics experiments of the LHC accelerator. Only in the LHCb experiment, the luminosity has increased by a factor of five. Recent results show that deep learning solutions techniques can significantly improve the performance of the cluster...
Currently, over 50% of the computing power at CERN’s GRID (>500 000 CPUs in 170 centres) is used to run High Energy Physics simulations. The recent updates at the Large Hadron Collider (LHC) create the need for developing more efficient simulation methods. In particular, there exist a demand for a fast simulation of the neutron Zero Degree Calorimeter, where existing Monte Carlo-based...
