string_data: workshop on data science and string theory

26 Mar 2018, 08:00 → 29 Mar 2018, 18:00 Europe/Berlin

ASC

workshop (March 26-28) - hackathon (March 29)

The goal is to bring together string theorists and data scientists to discuss how big data techniques can be utilised to understand the "string landscape". This meeting will feature talks, specialised discussion groups, and the first string theory hackathon.

One objective of this workshop is to present the status of data science methods applied to string theory and to survey our current understanding of the landscape. Another objective is to provide an opportunity for string theorists and data scientists to identify optimal future targets.
 

Organizers:
Thomas Grimm
Sven Krippendorf
Dieter Lüst
 

Previous workshop 2017: Northeastern, Boston (link)

 

Poster poster2018_final.pdf

Monday, 26 March

1 Counting String Standard Models

Speaker: Prof. Andre Lukas (University of Oxford)

Slides talk.pdf

2 Machine Learning Calabi-Yau Volumes

Speaker: Prof. Rak-Kyeong Seong (Tsinghua University)

12:00 Lunch Break

3 Machine learning in astrophysics & cosmology

I present an overview of machine learning methods as they are applied in astrophysics and cosmology, and highlight both new developments and real problems that are facing the field.

Speaker: Dr Ben Hoyle (MPE/USM Munich)

Slides ML_astrophysics_cosmology.pdf

4 Topological Data Analysis for Cosmology and String Theory

Speaker: Prof. Gary Shiu (University of Wisconsin-Madison)

15:30 Coffee Break

5 The Early Universe Information Bottleneck

Speaker: Dr Jonathan Frazer (DESY)

Slides Q2F_animations.zip string_data_workshop_Frazer_TheEarlyUniverseInformationBottleneck.pdf

6 Classification of Quasi-Realistic Heterotic String Vacua

Speaker: Mr Glyn Harries (University of Liverpool)

Slides Classification_of_Quasi-Realistic_Heterotic_String_Vacua.pdf

Tuesday, 27 March

7 Data in (F-theory) flux

Speaker: Dr Timo Weigand (CERN)

8 Data creation with Generative Adversarial Networks

Speaker: Dr Fabian Ruehle (University of Oxford)

Slides string_data_18_FR.pdf

10:30 Coffee Break

9 Big Data and Machine Learning in the Heterotic Orbifold Landscape

Speaker: Dr Patrick Vaudrevange (TU Munich)

Slides https://prezi.com/kzjoh6nrgosm/?utm_campaign=share&utm_medium=copy&rc=ex0share

10 Deeping-learning the Landscape

Speaker: Prof. Yang-Hui He (City, University of London, Merton College, Oxford & Nankai University)

Slides deeplearn.pdf

12:30 Lunch Break

11 Applications of Machine Learning techniques at the ATLAS Collaboration

Speaker: Mr David Handl (LMU Munich)

Slides dhandl_StringData27032018.pdf

12 Classifying fibration structures in Calabi-Yau constructions

Speaker: Prof. James Gray (Virginia Tech)

Slides Munich1.pdf

15:30 Coffee Break

13 Learning the non-Higgsable gauge groups in 4D F-theory

Speaker: Yinan Wang (MIT)

Slides Data_Science_and_String_theory_Yinan_Wang.pdf

14 Persistent Homology and Flux Vacua

Speaker: Alex Cole (University of Wisconsin-Madison)

19:00 Conference Dinner

Wednesday, 28 March

15 Axion hierarchies from Kahler cones

Speaker: Prof. Liam McAllister (Cornell University)

16 Vacuum selection from Cosmology on Networks of String Vacua

Speaker: Dr Cody Long (Northeastern University)

Slides string_data_munich.pdf

10:30 Coffee Break

17 Anomaly Detection: Mapping the IIB Lamppost with Reinforcement Learning

Speaker: Prof. James Halverson (Northeastern University)

Slides string_data_Munich.pdf

18 Machine learning at Belle II

Speaker: Mr James Kahn (The University of Melbourne)

Slides kahn_string_data_main.pdf

12:15 Lunch Break

19 Landscape and Complexity Catastrophe & Report on developments in mathematical software

Speaker: Prof. Michael Douglas (Stony Brook University)

Slides munich1.pdf

20 Challenging the Refined Swampland Distance Conjecture in Calabi-Yau Moduli Spaces

Speaker: Daniel Klaewer (Max Planck for Physics)

15:15 Coffee Break

21 History and perspectives

Speaker: Prof. Bert Schellekens (Nikhef)

Slides Munich2018.pdf

22 Discussion

Thursday, 29 March

23 WG1: Datasets in String Theory

Speakers: Dr Christoph Mayrhofer (LMU Munich), Dr Cody Long (Northeastern University)

10:30 Coffee Break

24 WG2: Quo vadis string landscape?

Speakers: Prof. Liam McAllister (Cornell University), Dr Timo Weigand (CERN)

12:30 Lunch Break

25 WG3: Machine learning tools for string theory

Speakers: Dr Fabian Ruehle (University of Oxford), Prof. James Halverson (Northeastern University)

Slides DiscussionSession3_JH_FR.pdf

15:30 Coffee Break