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SMARTHEP Yearly Meeting 2023 at Lund University

27 November 2023 to 1 December 2023
Lund University
Europe/Copenhagen timezone

Contact the Coordinator (C. Doglioni) and Project Manager (A. Carey)

Contribution List

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46. SMARTHEP introductions and progress, meeting logistics
Alice Ohlson (Lund University (SE)), Andrew Carey (University of Manchester (GB)), Caterina Doglioni (University of Manchester (GB)), Oxana Smirnova (Lund University (SE))
27/11/2023, 13:30
1. ESR1: Machine learning and Real-Time Analysis for Higgs boson measurements and fleet safety
Henning Kirschenmann (Helsinki Institute of Physics (FI)), Patin Inkaew (Helsinki Institute of Physics (FI))
27/11/2023, 14:00
2. ESR2: Real-time rule induction in fraud detection and HEP
Bogdan Malaescu (LPNHE-Paris CNRS/IN2P3 (FR)), Laura Boggia (Centre National de la Recherche Scientifique (FR))
27/11/2023, 14:20
3. ESR3: Real time analysis strategies for reconstruction, exotic physics, and market analysis
Anna Sfyrla (Universite de Geneve (CH)), Leon Bozianu (Universite de Geneve (CH))
27/11/2023, 14:40
4. ESR4: Efficient RTA in ATLAS and finance using multithreading
Brian Petersen (CERN), Sofia Cella (CERN)
27/11/2023, 15:30
5. ESR5: RTA on heterogeneous architectures for LHC and self-driving cars
Fotis Giasemis (Centre National de la Recherche Scientifique (FR)), Vladimir Gligorov (Centre National de la Recherche Scientifique (FR))
27/11/2023, 15:50
6. ESR6: Optimization of RTA resources for LHCb Lepton Flavour Violation search and manufacturing
Daniel Magdalinski (Nikhef), Gerhard Raven (Natuurkundig Laboratorium-Vrije Universiteit (VU)-Unknown)
27/11/2023, 16:10
10. ESR10: Real-time calibration of ALICE Time Projection Chamber and ML traffic predictions
Alice Ohlson (Lund University (SE)), Joachim Hansen (Lund University (SE))
27/11/2023, 16:30
45. The Baler scientific data compression Open Source project
Axel Gallen (Uppsala University (SE)), Per Alexander Ekman (Lund University (SE)), Pratik Jawahar (University of Manchester (UK - ATLAS))
27/11/2023, 17:00
41. Maximilian Amerl, University of Manchester
Maximilian Amerl (University of Manchester (GB))
27/11/2023, 17:13
42. Lara Calic, Lund University
Lara Calic (Lund University (SE))
27/11/2023, 17:23
40. Danielle Wilson-Edwards, University of Manchester
Danielle Joan Wilson-Edwards (University of Manchester (GB))
27/11/2023, 17:33
43. Sten Astrand, Lund University
Sten Astrand (Lund University)
27/11/2023, 17:43
44. Kaare Iversen, Lund University
Kaare Endrup Iversen (Lund University (SE))
27/11/2023, 17:53
7. ESR7: Machine Learning for Real Time Analysis of Lepton Flavour Violation in neutral meson decays and traffic predictions
Mr Jamie Gooding (Technische Universitaet Dortmund (DE)), Johannes Albrecht (Technische Universitaet Dortmund (DE))
28/11/2023, 09:00
8. ESR8: Real Time Analysis for global event triggering in LHCb and manufacturing
Johannes Albrecht (Technische Universitaet Dortmund (DE)), Micol Olocco (Technische Universitaet Dortmund (DE))
28/11/2023, 09:20
9. ESR9: Real-time analysis for Dark Photons search in LHCb and smart vehicles
Carlos Eduardo Cocha Toapaxi (Ruprecht Karls Universitaet Heidelberg), Martino Borsato (Universita & INFN, Milano-Bicocca (IT)), Stephanie Hansmann-Menzemer (Heidelberg University (DE))
28/11/2023, 09:40
11. ESR11: Real-Time Analysis through computer vision on dashcams and triggers in High Energy Physics, Verizon Connect in Florence and University of Bologna
Francesco Sambo, Henrique Pineiro de Monteagudo (Verizon Connect and UniBo), Henrique Piñeiro Monteagudo, Samuele Salti (University of Bologna)
28/11/2023, 10:00
12. ESR12: Accelerated anomaly detection
Caterina Doglioni (University of Manchester (GB)), Jiri Masik (University of Manchester (GB)), Pratik Jawahar (University of Manchester (UK - ATLAS))
28/11/2023, 10:20
47. Session for feedback to ESRs
28/11/2023, 11:05

In this session, we will go through all ESR presentations and other ESRs / PIs / advisory board members will give some constructive feedback on what stood out and what could be improved. Each ESR will receive about 5 minutes of feedback.
48. Q&A from ESRs
28/11/2023, 12:05

ESRs will also be able to add their questions to sli.do beforehand at this link (https://app.sli.do/event/gLTDDxmQKMzbF9EGNheVGx, can be anonymous) and we will go through them together with the questions in the room.
49. Round table on status of whitepapers
Caterina Doglioni (University of Manchester (GB)), Jamie Gooding (Technische Universitaet Dortmund (DE)), Johannes Albrecht (Technische Universitaet Dortmund (DE)), Martino Borsato (Universita & INFN, Milano-Bicocca (IT)), Maurizio Pierini (CERN), Nicolas Sauterey, Steven Schramm (Universite de Geneve (CH)), Vladimir Gligorov (Centre National de la Recherche Scientifique (FR))
28/11/2023, 13:30
50. Discussion on publication venues
Caterina Doglioni (University of Manchester (GB))
28/11/2023, 13:50
51. Co-writing / co-editing: whitepapers and whitepaper emails
28/11/2023, 14:10

This session is there to make some collaborative progress together, pick a whitepaper to look at / work on to finalise the outstanding items for circulation to the collaborations and for public consumption.

There will also be a group of PIs (with Caterina) who will draft e-mails to the collaborations to make sure the scope is clear and it isn't trying to substitute any other collaboration efforts.
52. Open discussion session (secondments and more)
28/11/2023, 17:15

In this slot, we will discuss secondments in small groups, connecting PIs with . Those who don't have a pressing secondment matter to discuss at this point can read the overall document that we will send to the Project Officer and cross-check all their details are correct.
15. Network assembly: intro and voting matters
Caterina Doglioni (University of Manchester (GB))
29/11/2023, 09:00

Discussion of status / planning of the network

In this network assembly we will vote on:
- budget redistribution to Lund for current network event
23. ESR (self-)assembly and representation
29/11/2023, 09:15

In this session, the ESRs will:

  • choose a new member of the ESR cohort to vote in the Network Assembly representing the ESRs

  • discuss any issues arising during the first year of network (including feedback to coordinator and supervisors)

  • discuss how to vote in the network assembly
20. Planning for upcoming schools and deliverables
Anna Sfyrla (Universite de Geneve (CH)), Caterina Doglioni (University of Manchester (GB)), Johannes Albrecht (Technische Universitaet Dortmund (DE)), Maurizio Pierini (CERN), Steven Schramm (Universite de Geneve (CH)), Vladimir Gligorov (Centre National de la Recherche Scientifique (FR))
29/11/2023, 09:15
18. Open discussion between ESRs, supervisors and advisory board
Andrew Carey (University of Manchester (GB)), Caterina Doglioni (University of Manchester (GB))
29/11/2023, 10:00

In this open discussion we will have time to bring up topics from the ESR assembly, or general ideas / concerns about how the network is running at its mid-point.
22. AOB
29/11/2023, 10:15
53. Time to edit common document(s) or get feedback
29/11/2023, 16:30

In this session, we will have time to edit together the common document from the network prior to submission to the EC.

Those are the action items as of 21/11/2023:

  • WP6 (real-time analysis and discoveries) and the coordinator will work together to write a short contribution for this work package and plan future work;
  • WP3 (training) will have time to go through the report on...
57. Data visualisation course - part 1
Dr Eamonn Maguire
30/11/2023, 09:00
58. Data visualisation training - part 2
Dr Eamonn Maguire
30/11/2023, 11:00
55. Presentation skills training
Alice Ohlson (Lund University (SE))
30/11/2023, 13:30
59. ESR1: Machine learning and Real-Time Analysis for Higgs boson measurements and fleet safety
Henning Kirschenmann (Helsinki Institute of Physics (FI)), Patin Inkaew (Helsinki Institute of Physics (FI))
01/12/2023, 09:00
60. ESR2: Real-time rule induction in fraud detection and HEP
Bogdan Malaescu (LPNHE-Paris CNRS/IN2P3 (FR)), Laura Boggia (Centre National de la Recherche Scientifique (FR))
01/12/2023, 09:15
61. ESR3: Real time analysis strategies for reconstruction, exotic physics, and market analysis
Anna Sfyrla (Universite de Geneve (CH)), Leon Bozianu (Universite de Geneve (CH))
01/12/2023, 09:30
62. ESR4: Efficient RTA in ATLAS and finance using multithreading
Brian Petersen (CERN), Sofia Cella (CERN)
01/12/2023, 09:45
63. ESR5: RTA on heterogeneous architectures for LHC and self-driving cars
Fotis Giasemis (Centre National de la Recherche Scientifique (FR)), Vladimir Gligorov (Centre National de la Recherche Scientifique (FR))
01/12/2023, 10:00
64. ESR6: Optimization of RTA resources for LHCb Lepton Flavour Violation search and manufacturing
Daniel Magdalinski (Nikhef), Gerhard Raven (Natuurkundig Laboratorium-Vrije Universiteit (VU)-Unknown)
01/12/2023, 10:15
66. ESR7: Machine Learning for Real Time Analysis of Lepton Flavour Violation in neutral meson decays and traffic predictions
Mr Jamie Gooding (Technische Universitaet Dortmund (DE)), Johannes Albrecht (Technische Universitaet Dortmund (DE))
01/12/2023, 11:15
67. ESR8: Real Time Analysis for global event triggering in LHCb and manufacturing
Johannes Albrecht (Technische Universitaet Dortmund (DE)), Micol Olocco (Technische Universitaet Dortmund (DE))
01/12/2023, 11:30
68. ESR9: Real-time analysis for Dark Photons search in LHCb and smart vehicles
Carlos Eduardo Cocha Toapaxi (Ruprecht Karls Universitaet Heidelberg), Martino Borsato (Universita & INFN, Milano-Bicocca (IT)), Stephanie Hansmann-Menzemer (Heidelberg University (DE))
01/12/2023, 11:45
65. ESR10: Real-time calibration of ALICE Time Projection Chamber and ML traffic predictions
Alice Ohlson (Lund University (SE)), Joachim Hansen (Lund University (SE))
01/12/2023, 12:00
69. ESR11: Real-Time Analysis through computer vision on dashcams and triggers in High Energy Physics, Verizon Connect in Florence and University of Bologna
Francesco Sambo, Henrique Pineiro de Monteagudo (Verizon Connect and UniBo), Henrique Piñeiro Monteagudo, Samuele Salti (University of Bologna)
01/12/2023, 12:15
70. ESR12: Accelerated anomaly detection
Caterina Doglioni (University of Manchester (GB)), Jiri Masik (University of Manchester (GB)), Pratik Jawahar (University of Manchester (UK - ATLAS))
01/12/2023, 12:30
21. Approval of Data Management Plan
Caterina Doglioni (University of Manchester (GB))
35. Brief introductions from students affiliated to the network but not MSCA-funded
Danielle Joan Wilson-Edwards (University of Manchester (GB)), Kaare Endrup Iversen (Lund University (SE)), Maximilian Amerl (University of Manchester (GB))
  • Maximilian Amerl (University of Manchester)
  • Danielle WIlson-Edwards (University of Manchester)
  • Kaare Iverson (Lund University)
33. Closing words
Caterina Doglioni (University of Manchester (GB))

We will wrap up the kick-off meeting with a discussion on next steps on the whitepapers and a feedback session.
54. Data visualisation course
Eamonn Maguire, Dr Eamonn Maguire
16. Discussion of data management plan [Niels Bohr Common Room]
Caterina Doglioni (University of Manchester (GB))
17. Individual consultations with the Ethics Officer [Schuster 6.52]

In this session, the Ethics Officer will meet the ESRs that are using non-particle-physics data for their project or secondment, and discuss any issues relative to ML Ethics. In particular, the supervisor and the student will:

  • explain to the ethics officer how the data recorded is relevant and limited to the purposes of the research project (in accordance with the ‘data minimisation...
26. Interdisciplinary data science and HEP at the University of Liverpool
Joseph Carmignani (University of Liverpool (GB)), Monica D'Onofrio (University of Liverpool (GB))
24. Introduction
Caterina Doglioni (University of Manchester (GB)), Maurizio Pierini (CERN)
13. Introduction from the coordinator
Caterina Doglioni (University of Manchester (GB))
28. ITN event with Manchester Physics Society [Niels Bohr Conference Room]

The event is intended as an information event for final year undergraduates on what we do in the network, and how to apply to ITNs. There will be a general introduction to the network and to ITNs in general by the Coordinator, and some of the ESRs will give brief verbal reports to the undergraduates. The last 30-45' will be Q&A and mingle.
14. Logistics
32. ML and ethics in HEP
Savannah Jennifer Thais (Princeton University (US))
19. Network composition matters

TBC
56. Panel (TBC)
34. Physics Society Coffee

A chance to have coffee and informal chats with other students in the Physics & Astronomy department.
29. Preparation for scientific writing courses [JBB theater]
Caterina Doglioni (University of Manchester (GB))

In this session we will discuss the SMARTHEP whitepapers that we (supervisors + ESRs) will write in the first six months of the network, how we are going to use them as practice cases for the scientific report / whitepaper writing course on Thursday, and how we will coordinate the writing after the kick-off meeting.
27. Real-time decision making Turing/IDSAI sandpit projects: data compression
Axel Gallen (Uppsala University (SE)), Dr Nicole Skidmore (University of Manchester), Per Alexander Ekman (Lund University (SE))
36. Real-time decision making Turing/IDSAI sandpit projects: supporting clinical decision-making
Harriet Cant (University of Manchester)
37. Real-time decision making Turing/IDSAI sandpit projects:real-time decisions for power substations
Hujun Jin (University of Manchester)
38. Real-time decision making Turing/IDSAI sandpit: ML for financial decision-making
Eghbal Rahimikia (University of Manchester)
31. SMARTHEP code of conduct
Caterina Doglioni (University of Manchester (GB)), Mikko Voutilainen (Helsinki Institute of Physics (FI))
39. Social Event/Excursion: TBD
30. The HEP Software Foundation (talk+Q&A) [JBB theater]
Benedikt Hegner (CERN)

The HEP Software Foundation facilitates cooperation and common efforts in High Energy Physics software and computing internationally. Its coordinators have written a letter for support of SMARTHEP when we applied to the MSCA ITN grant.

This talk will highlight the work that the HSF has done so far, and will point to places where HEP software is discussed as well as show how we can...
25. The Institute for Data Science and Artificial Intelligence at the University of Manchester
Magnus Rattray (University of Manchester)
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