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ESR6: Daniel Magdalinski (VU Amsterdam)

  • ESR1: Patin Inkaew (University of Helsinki)
  • ESR5: Fotis Giasemis (Sorbonne University)
  • ESR7: James Gooding (TU Dortmund)
  • ESR8: Micol Olocco (TU Dortmund)
  • ESR6: Daniel Magdalinski (VU Amsterdam)
  • ESR2: Laura Boggia (IBM and Sorbonne University)
  • ESR3: Leon Bozianu (University of Geneva)
  • ESR4: Sofia Cella (CERN and University of Geneva)
  • ESR11: Henrique Piñeiro Monteagudo (Verizon Connect and UniBo)
  • ESR12: Pratik Jawahar (University of Manchester)
  • ESR10: Joachim Carlo Kristian Hansen (Lund University)
  • ESR9: Carlos Cocha (University of Heidelberg)
Home Early Stage Researchers ESR6: Daniel Magdalinski (VU Amsterdam)

ESR6: Optimization of RTA resources for LHCb Lepton Flavour Violation search and manufacturing

APPLY FOR THIS POSITION

Project Description

Instead of focusing on specific physics processes to choose what is “interesting”, this project will investigate a more generic approach – what are the bottlenecks in our trigger algorithms, what prevents us from recording the events we want and how can we do more interesting physics with the same or even fewer resources. The first objective of the student working on this project will be to simplify, streamline and optimize the process of testing and benchmarking the LHCb real-time analysis software which decides which events are sufficiently interesting to be studied further, and which are discarded, by creating tools that will analyze the performance of each piece of the decision software, the resources used for each individual decision, and the commonalities amongst decisions. The student will also study how to reduce the resources required by using ML algorithms. While this project will focus on LHCb, it will also keep in mind the ATLAS use case during a stay at CERN in order to collaborate with ATLAS colleagues. Compared to ATLAS, LHCb generates an order of magnitude less data per collision, but at an order of magnitude larger rate. The requirement that the toolkit must work optimally for both experiments implies that it must be sufficiently generic and adaptable. As a result, it will also have applications beyond these two experiments. Furthermore, two collaborations (one academic, one industrial) with Dortmund will allow the PhD student employed in this project to receive expert training in the design of Lepton Flavor Violating analyzes and collaborate with the student there. This will happen in tandem with an industrial internship at Point 8, an industrial data science company, where optimization and benchmarking techniques will be used for monitoring and decision-making in applications of data-driven use cases in the German industry. The physics analysis focus of this thesis project will be the search for lepton flavor violation in the τ → μγ decay in LHCb, which currently does not have a dedicated trigger chain at LHCb. The high data rate of the upgraded LHCb experiment, in combination with the optimization of the trigger algorithms, will allow us to collect this kind of events and study a process that was previously thought to require dedicated experiments.

ESR: Daniel Magdalinski

I have had a long interest in physics, especially high energy physics, due to its use of cutting-edge computing technologies. During my undergraduate studies in particle physics I grew very interested in machine learning and how it could benefit our experiments. Therefore, I felt that the SMARTHEP program was a perfect match for me and I am so excited to learn more about these technologies while working together within this amazing network. This PhD will be an amazing opportunity to develop numerous skills that I will use no matter whether I will continue my career in academia or industry.

Institute and supervisor information

VU Amsterdam and Nikhef.

The successful candidate will be hosted at Nikhef, the dutch National Institute for Subatomic Physics, which is a collaboration of six dutch Universities, and the NWO-I research foundation.  The mission of Nikhef is to study the interactions and structure of all elementary particles and fields at the smallest distance scale and the highest attainable energy.Nikhef coordinates and leads the Dutch experimental activities in these fields. The research at Nikhef relies on the development of innovative technologies. The knowledge and technology transfer to third parties, i.e., industry, civil society and general public, is an integral part of Nikhef’s mission.

The Nikhef LHCb physics group

The  group is strongly involved in many areas of LHCb, including the study of rare beauty decays and CP violation. The group plays a major role in the upgrades to the tracking detectors and trigger.

Image of Gerhard-Raven

Main supervisor: Gerhard Raven

Gerhard Raven is a professor of experimental particle physics at VU Amsterdam. University. Most of his career was focussed on the search for new phenomena in the weak interaction, with a special focus on CP violation and rare processes.

ABOUT US

SMARTHEP is a network that connects the fields of High Energy Physics (HEP) and Data Science, especially in relation to the challenges of  processing large datasets using real-time analysis.

SMARTHEP is intended as a consortium formed by academic and industrial partners on scientific, technological, and entrepreneurship aspects of both HEP and Data Science.

LATEST NEWS

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  • 14 January, 2019
    Comments Off on REALTIME Advanced Study Group

    REALTIME Advanced Study Group

  • 21 January, 2018
    Comments Off on RAPID Workshop – October 2018

    RAPID Workshop – October 2018

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CONTACT US

If you wish to contact us,
please use the details below

Email: smarthep-recruitment@cern.ch

 

SMARTHEP is funded by the European Union’s Horizon 2020 research and innovation programme, call H2020-MSCA-ITN-2020, under Grant Agreement n. 956086

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