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Dissemination plan - 3000 characters - close to final? 1m
The main deliverables of DAWN will be scientific publications, degrees (~50 MSc and ~25 PhD), and materials for education, recruitment and outreach (Theme 5). An Education, Dissemination and Exploitation (EDE) plan will be created at the startup and maintained throughout the project period.
T5.1 - Scientific dissemination. We will publish our centre results (publications, patents, books, conference proceedings, workshops, software packages) using open access as much as possible and according to IPR agreements. Publications will be made in international renowned high impact scientific and technological journals (peer-reviewed) of particle and astroparticle physics and computing. Open science publication strategies will be used and developed as part of the project. Students and young staff will strategically participate in key conferences aimed at boosting their career.
WT5.2 - Particle and Astroparticle education & training (university level). It is urgent to set up state of the art training and courses for young talented researchers in Norway. Experimental astroparticle physics is missing and particle physics courses are scarce for PhD students. We aim at developing a new curriculum based on physics analysis and discovery packages using new open data (T5.5), including a special Master/PhD winter school with individual follow up of each student.
T5.3 - School Science training & recruitment (pupils 12-18 years old). Particle and astrophysics are often the main inspiration for studying natural sciences. It is urgent to make a change as the number of natural sciences students in Norway are plummeting. We aim to expand our yearly Particle Physics masterclasses for high schools and develop a novel astroparticle master class bringing modern concepts and new discoveries to young pupils using open data (T5.5). We will work on a program to support teachers based on the development of muon detectors inspired by The Extreme Energy Events Project (EEE).
T5.4 - Communication. We will organise conferences, workshops (new Nordic DM workshop) and invite leading researchers to Norway during with the aim to make our research centre a dynamic, highly attractive, internationally visible, and an excellent workplace for all. We will strengthen our current collaboration with media (e.g. Abels t\aa rn, TV, newspapers, blogs) which is key to reach out to the public and inform about the wonders of science with the goal of attracting more students to physics. We aim to collaborate with Museums in Oslo and Bergen (e.g. Vil Vite, Science and Technical Museums) for science and art exhibitions.
T5.4 - Open Science. The scientific community is committed to make scientific research more open, collaborative, and responsive to societal needs and interests. We aim to develop educational material exploiting open data from global scientific collaborations (HEP+) engaging the public with the access to world-leading experiments through material for e.g. data handling, starter kit for analysis tasks, realistic statistical interpretations, machine learning tutorials. -
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Milestones 1m
Milestones / Activities throughout the project From To
Theme1 - Improved data
Activity 1.1 ZZZ 2028 1 2028 4
A1.1 Improve Triggering 1 2028 4 2035
A1.2 Analysis of Ultraperipheral Collisions 1 2021 4
A1.3 Implement novel searcher for Dark Matter based on results form Theme 4
M1.1 LHC Run 2 DM results and publications 2018 1 2020 1
M1.2 CTA partial array data 2028 1 2028 1 - north area completeM1.3 LHC run 4 2027 1 2027 1
M1.4 LHC run 5 2036 4 2036 4M1.5 SWGO prototype data 2029 1
Theme 2 - Anomaly detection
A2.1 - Establish robust and interpretable anomaly detection techniques for comprehensive Dark Matter searches for combining multiple data sources and search methods
A2.2 - Hybrid models from multiple data sources (LHC, HL-LHC, CTAO)
A2.3 - Combine Dark Matter Searches with data from the Southern Wide-field Gamma-ray Observatory (SWGO) data when availableM2.1.1 Common framework for anomaly detection analysis | 2028-2030M2.1.2 Anomaly detection analysis framework for data from particle and astroparticle physics | 2028-2030M2.2.1 Performance results and publications using LHC Run 2&3 data | 2028-2030M2.2.2 Performance results and publications using LHC Run 4&5 data | 2032-2037M2.2.4 Performance results and publications using CTAO simulations | 2028-2032M2.2.3 Performance results and publications using CTAO data | 2032-2037M2.2.1 Integrate multiple data sources and demonstrate efficacy using all available data from LHC, HL-LHC and CTAO including simulated data | 2030 - 2032M2.3.1 Include SWGO array data, show results from the full complementary data sources | 2035Theme 3 - Statistic
A 3.1 Open statistical Models 2027-2036
A 3.2 Computationally efficient inference 2027-2030
A 3.3 Verification and robustness of statistical models 2027-2036M 3.1.1 2030: Develop and publish open likelihood results for M2.2.1
M 3.1.1 2032: Develop and publish open likelihood projections for CTAO M2.2.4
M 3.2 2030 Publish review of available higher-order asymptotic approaches alongside code with example useage
M3.3 2031 Systematic overview of goodness-of-fit tests, including ranking of power for different mismodellings.Theme 4 - Interpretation
4.1 - Review production mechanisms and sensitivities at LHC to probe new areas to search for DM 2028 1 2030 4
4.2 - Include results from OO runs at LHC in air shower models for CTA and astroparticle physics for dense environments? 2028 1 2030 4
4.3 - Develop novel DM models to be probed with enhanced data from the LHC (Theme 1) 2029 1 2036 4
4.4 - Propose new experiments and/or techniques to searches for Dark matter 2 period
4.5 - Investigate synergies to other related projects, such as a far detector in ESSnuSB for DM detetcion.
M4.x
Theme 5 - EDE
A5.1 Scientific Dissemination 2028 1 2037 4
A5.2 Particle and Astroparticle education & training 2028 1 2037 4
A5.3 School Science training & recruitment 2028 1 2037 4A5.4 Communication 2028 1 2037 4
A5.5 Open Science 2028 1 2037 4
M5.1.1 Inauguration and Kick-off meeting 2028 1 2028 2
M5.1.1 PhD thesis 2-3/year 2031 1 2037 4
M5.1.2 Msc theses 4-5/year 2028 2 2037 2M5.1.3 Publication/activity/year 2028 4 2037 4
M5.1.4 Conference contributions 2029 1 2037 4
M5.1.5 DM Nordic Workshop every second year 2028 2 2036 2
M5.2.1 DM School every second year 2029 4 2037 4
M5.3.1 DM Masterclasses every year 2028 3 2037 3
M5.3.1 Muon detector event every year 2029 1 2037 1
M5.4.2 Media events & articles 2028 1 2037 4
M5.5.2 Framework for use of open data 2030 1 2030 1
M5.5.2 Updated framework for use of open data 2034 1 2034 1
M5.3.3 First SAC evaluation 2031 1 2031 1
M5.3.3 Second SAC evaluation 2034 1 2031 4
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Version of project description 1m
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Outcome and deliverables - 1000 characters 1m
Outcomes and impacts
Briefly describe the outcomes and impacts that are expected from the project in addition to its research results. In this context, “outcomes” refers to what you believe the project will entail for project participants and related framework (target groups, users) in terms of changes in competency, conduct, practice and policy. “Impacts” refers to long-term changes in society to be brought about by project results and outcomes. Describe in brief how project activities, presented in the dissemination plan when relevant, and complementary activities outside the project will help to realise these outcomes and impacts.
A more detailed description of this should be provided in the project description in the section on “Impact”, where this is specified as a separate point.
In addition to the impact of our research results DAWN is expected to have the following outcomes:
- We will be able to keep and enhance expertise in Norway and combat talent drain (T5.1, 2 & 4)
- Enhance the careers of our young talented researchers (T5.1, 2 & 4)
- Norway will get education training missing today at our universities (T5.2)
- International visibility and network (T5.1, 4 &5)
- Recruitment to physics, in particular our fields (T5.3)
DAWN may impact in these areas???:
- An improved understanding of the universe - science books needs to be rewritten
- Norway lacks physicists, in industry as well as e.g. hospitals
- Use of big data is at the core of e.g. climate research, medical research
- Better data exploitation could be vital for harsh environments (e.g. deep sea, underground)
- Anomaly detection is highly sought after already by Norwegian energy industries (Statnett)
- Efficient computing (ML, AI) is essential for the future and highly sought after by industry (Aker) -
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CV - Julia 1mSpeakers: Julia Djuvsland, Julia Isabell Djuvsland (University of Bergen (NO))
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CV - Torsten 1mSpeaker: Torsten Bringmann (University of Oslo (NO))
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CV - Heidi 1mSpeaker: Heidi Sandaker (University of Oslo (NO))
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CV - Eirik 1mSpeaker: Dr Eirik Gramstad (University of Oslo (NO))
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CV - Therese 1mSpeaker: Therese Sjursen (Western Norway University of Applied Sciences (No))
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CV + Statement - Thea 1mSpeaker: Thea Aarrestad (ETH Zurich (CH))
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CV + Statement - Knut 5mSpeaker: Knut Moraa
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CV - Alex 5mSpeaker: Alexander Lincoln Read (University of Oslo (NO))
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LoC - Zurich? 5mSpeaker: Knut Moraa
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LoC - ETH? 5mSpeaker: Thea Aarrestad (ETH Zurich (CH))