Journal Articles
2022
Rituparno Mandal; Corneel Casert; Peter Sollich
Robust prediction of force chains in jammed solids using graph neural networks
In: Nat Commun, vol. 13, no. 1, 2022, ISSN: 2041-1723.
@article{Mandal2022,
title = {Robust prediction of force chains in jammed solids using graph neural networks},
author = {Rituparno Mandal and Corneel Casert and Peter Sollich},
doi = {10.1038/s41467-022-31732-3},
issn = {2041-1723},
year = {2022},
date = {2022-12-00},
urldate = {2022-12-00},
journal = {Nat Commun},
volume = {13},
number = {1},
publisher = {Springer Science and Business Media LLC},
abstract = {<jats:title>Abstract</jats:title><jats:p>Force chains are quasi-linear self-organised structures carrying large stresses and are ubiquitous in jammed amorphous materials like granular materials, foams or even cell assemblies. Predicting where they will form upon deformation is crucial to describe the properties of such materials, but remains an open question. Here we demonstrate that graph neural networks (GNN) can accurately predict the location of force chains in both frictionless and frictional materials from the undeformed structure, without any additional information. The GNN prediction accuracy also proves to be robust to changes in packing fraction, mixture composition, amount of deformation, friction coefficient, system size, and the form of the interaction potential. By analysing the structure of the force chains, we identify the key features that affect prediction accuracy. Our results and methodology will be of interest for granular matter and disordered systems, e.g. in cases where direct force chain visualisation or force measurements are impossible.</jats:p>
},
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<jats:title>Abstract</jats:title><jats:p>Force chains are quasi-linear self-organised structures carrying large stresses and are ubiquitous in jammed amorphous materials like granular materials, foams or even cell assemblies. Predicting where they will form upon deformation is crucial to describe the properties of such materials, but remains an open question. Here we demonstrate that graph neural networks (GNN) can accurately predict the location of force chains in both frictionless and frictional materials from the undeformed structure, without any additional information. The GNN prediction accuracy also proves to be robust to changes in packing fraction, mixture composition, amount of deformation, friction coefficient, system size, and the form of the interaction potential. By analysing the structure of the force chains, we identify the key features that affect prediction accuracy. Our results and methodology will be of interest for granular matter and disordered systems, e.g. in cases where direct force chain visualisation or force measurements are impossible.</jats:p>
Aaron Bramson; Kevin Hoefman; Koen Schoors; Jan Ryckebusch
Diplomatic Relations in a Virtual World
In: Polit. Anal., vol. 30, no. 2, pp. 214–235, 2022, ISSN: 1476-4989.
@article{Bramson2021,
title = {Diplomatic Relations in a Virtual World},
author = {Aaron Bramson and Kevin Hoefman and Koen Schoors and Jan Ryckebusch},
doi = {10.1017/pan.2021.1},
issn = {1476-4989},
year = {2022},
date = {2022-04-00},
journal = {Polit. Anal.},
volume = {30},
number = {2},
pages = {214–235},
publisher = {Cambridge University Press (CUP)},
abstract = {<jats:title>Abstract</jats:title><jats:p>We apply variations and extensions of structural balance theory to analyze the dynamics of geopolitical relations using data from the virtual world <jats:italic>Eve Online</jats:italic>. The highly detailed data enable us to study the interplay of alliance size, power, and geographic proximity on the prevalence and conditional behavior of triads built from empirical political alliances. Through our analysis, we reveal the degree to which the behaviors of players conform to the predictions of structural balance theory and whether our augmentations of the theory improve these predictions. In addition to studying the time series of the proportions of triad types, we investigate the conditional changes in triad types and the formation of polarized political coalitions. We find that player behavior largely conforms to the predictions of a multipolar version of structural balance theory that separates strong and weak configurations of balanced and frustrated triads. The high degree of explanatory power of structural balance theory in this context provides strong support for both the theory and the use of virtual worlds in social science research.</jats:p>},
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<jats:title>Abstract</jats:title><jats:p>We apply variations and extensions of structural balance theory to analyze the dynamics of geopolitical relations using data from the virtual world <jats:italic>Eve Online</jats:italic>. The highly detailed data enable us to study the interplay of alliance size, power, and geographic proximity on the prevalence and conditional behavior of triads built from empirical political alliances. Through our analysis, we reveal the degree to which the behaviors of players conform to the predictions of structural balance theory and whether our augmentations of the theory improve these predictions. In addition to studying the time series of the proportions of triad types, we investigate the conditional changes in triad types and the formation of polarized political coalitions. We find that player behavior largely conforms to the predictions of a multipolar version of structural balance theory that separates strong and weak configurations of balanced and frustrated triads. The high degree of explanatory power of structural balance theory in this context provides strong support for both the theory and the use of virtual worlds in social science research.</jats:p>
2021
Luis E. C. Rocha; Jan Ryckebusch; Koen Schoors; Matthew Smith
The scaling of social interactions across animal species
In: Sci Rep, vol. 11, no. 1, 2021, ISSN: 2045-2322.
@article{Rocha2021,
title = {The scaling of social interactions across animal species},
author = {Luis E. C. Rocha and Jan Ryckebusch and Koen Schoors and Matthew Smith},
doi = {10.1038/s41598-021-92025-1},
issn = {2045-2322},
year = {2021},
date = {2021-12-00},
journal = {Sci Rep},
volume = {11},
number = {1},
publisher = {Springer Science and Business Media LLC},
abstract = {<jats:title>Abstract</jats:title><jats:p>Social animals self-organise to create groups to increase protection against predators and productivity. One-to-one interactions are the building blocks of these emergent social structures and may correspond to friendship, grooming, communication, among other social relations. These structures should be robust to failures and provide efficient communication to compensate the costs of forming and maintaining the social contacts but the specific purpose of each social interaction regulates the evolution of the respective social networks. We collate 611 animal social networks and show that the number of social contacts<jats:italic>E</jats:italic>scales with group size<jats:italic>N</jats:italic>as a super-linear power-law<jats:inline-formula><jats:alternatives><jats:tex-math>$$E=CN^beta$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>E</mml:mi><mml:mo>=</mml:mo><mml:mi>C</mml:mi><mml:msup><mml:mi>N</mml:mi><mml:mi>β</mml:mi></mml:msup></mml:mrow></mml:math></jats:alternatives></jats:inline-formula>for various species of animals, including humans, other mammals and non-mammals. We identify that the power-law exponent<jats:inline-formula><jats:alternatives><jats:tex-math>$$beta$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math></jats:alternatives></jats:inline-formula>varies according to the social function of the interactions as<jats:inline-formula><jats:alternatives><jats:tex-math>$$beta = 1+a/4$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>β</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn><mml:mo>+</mml:mo><mml:mi>a</mml:mi><mml:mo>/</mml:mo><mml:mn>4</mml:mn></mml:mrow></mml:math></jats:alternatives></jats:inline-formula>, with<jats:inline-formula><jats:alternatives><jats:tex-math>$$a approx 1,2,3,4$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>a</mml:mi><mml:mo>≈</mml:mo><mml:mrow><mml:mn>1</mml:mn><mml:mo>,</mml:mo><mml:mn>2</mml:mn><mml:mo>,</mml:mo><mml:mn>3</mml:mn><mml:mo>,</mml:mo><mml:mn>4</mml:mn></mml:mrow></mml:mrow></mml:math></jats:alternatives></jats:inline-formula>. By fitting a multi-layer model to our data, we observe that the cost to cross social groups also varies according to social function. Relatively low costs are observed for physical contact, grooming and group membership which lead to small groups with high and constant social clustering. Offline friendship has similar patterns while online friendship shows weak social structures. The intermediate case of spatial proximity (with <jats:inline-formula><jats:alternatives><jats:tex-math>$$beta =1.5$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>β</mml:mi><mml:mo>=</mml:mo><mml:mn>1.5</mml:mn></mml:mrow></mml:math></jats:alternatives></jats:inline-formula>and clustering dependency on network size quantitatively similar to friendship) suggests that proximity interactions may be as relevant for the spread of infectious diseases as for social processes like friendship.</jats:p>},
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<jats:title>Abstract</jats:title><jats:p>Social animals self-organise to create groups to increase protection against predators and productivity. One-to-one interactions are the building blocks of these emergent social structures and may correspond to friendship, grooming, communication, among other social relations. These structures should be robust to failures and provide efficient communication to compensate the costs of forming and maintaining the social contacts but the specific purpose of each social interaction regulates the evolution of the respective social networks. We collate 611 animal social networks and show that the number of social contacts<jats:italic>E</jats:italic>scales with group size<jats:italic>N</jats:italic>as a super-linear power-law<jats:inline-formula><jats:alternatives><jats:tex-math>$$E=CN^beta$$</jats:tex-math><mml:math xmlns:mml=”http://www.w3.org/1998/Math/MathML”><mml:mrow><mml:mi>E</mml:mi><mml:mo>=</mml:mo><mml:mi>C</mml:mi><mml:msup><mml:mi>N</mml:mi><mml:mi>β</mml:mi></mml:msup></mml:mrow></mml:math></jats:alternatives></jats:inline-formula>for various species of animals, including humans, other mammals and non-mammals. We identify that the power-law exponent<jats:inline-formula><jats:alternatives><jats:tex-math>$$beta$$</jats:tex-math><mml:math xmlns:mml=”http://www.w3.org/1998/Math/MathML”><mml:mi>β</mml:mi></mml:math></jats:alternatives></jats:inline-formula>varies according to the social function of the interactions as<jats:inline-formula><jats:alternatives><jats:tex-math>$$beta = 1+a/4$$</jats:tex-math><mml:math xmlns:mml=”http://www.w3.org/1998/Math/MathML”><mml:mrow><mml:mi>β</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn><mml:mo>+</mml:mo><mml:mi>a</mml:mi><mml:mo>/</mml:mo><mml:mn>4</mml:mn></mml:mrow></mml:math></jats:alternatives></jats:inline-formula>, with<jats:inline-formula><jats:alternatives><jats:tex-math>$$a approx 1,2,3,4$$</jats:tex-math><mml:math xmlns:mml=”http://www.w3.org/1998/Math/MathML”><mml:mrow><mml:mi>a</mml:mi><mml:mo>≈</mml:mo><mml:mrow><mml:mn>1</mml:mn><mml:mo>,</mml:mo><mml:mn>2</mml:mn><mml:mo>,</mml:mo><mml:mn>3</mml:mn><mml:mo>,</mml:mo><mml:mn>4</mml:mn></mml:mrow></mml:mrow></mml:math></jats:alternatives></jats:inline-formula>. By fitting a multi-layer model to our data, we observe that the cost to cross social groups also varies according to social function. Relatively low costs are observed for physical contact, grooming and group membership which lead to small groups with high and constant social clustering. Offline friendship has similar patterns while online friendship shows weak social structures. The intermediate case of spatial proximity (with <jats:inline-formula><jats:alternatives><jats:tex-math>$$beta =1.5$$</jats:tex-math><mml:math xmlns:mml=”http://www.w3.org/1998/Math/MathML”><mml:mrow><mml:mi>β</mml:mi><mml:mo>=</mml:mo><mml:mn>1.5</mml:mn></mml:mrow></mml:math></jats:alternatives></jats:inline-formula>and clustering dependency on network size quantitatively similar to friendship) suggests that proximity interactions may be as relevant for the spread of infectious diseases as for social processes like friendship.</jats:p>
Corneel Casert; Tom Vieijra; Stephen Whitelam; Isaac Tamblyn
In: Phys. Rev. Lett., vol. 127, no. 12, 2021, ISSN: 1079-7114.
@article{Casert2021,
title = {Dynamical Large Deviations of Two-Dimensional Kinetically Constrained Models Using a Neural-Network State Ansatz},
author = {Corneel Casert and Tom Vieijra and Stephen Whitelam and Isaac Tamblyn},
doi = {10.1103/physrevlett.127.120602},
issn = {1079-7114},
year = {2021},
date = {2021-09-00},
journal = {Phys. Rev. Lett.},
volume = {127},
number = {12},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
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Corneel Casert; Kyle Mills; Tom Vieijra; Jan Ryckebusch; Isaac Tamblyn
Optical lattice experiments at unobserved conditions with generative adversarial deep learning
In: Phys. Rev. Research, vol. 3, no. 3, 2021, ISSN: 2643-1564.
@article{Casert2021b,
title = {Optical lattice experiments at unobserved conditions with generative adversarial deep learning},
author = {Corneel Casert and Kyle Mills and Tom Vieijra and Jan Ryckebusch and Isaac Tamblyn},
doi = {10.1103/physrevresearch.3.033267},
issn = {2643-1564},
year = {2021},
date = {2021-09-00},
journal = {Phys. Rev. Research},
volume = {3},
number = {3},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
W. Cosyn; J. Ryckebusch
Phase-space distributions of nuclear short-range correlations
In: Physics Letters B, vol. 820, 2021, ISSN: 0370-2693.
@article{Cosyn2021,
title = {Phase-space distributions of nuclear short-range correlations},
author = {W. Cosyn and J. Ryckebusch},
doi = {10.1016/j.physletb.2021.136526},
issn = {0370-2693},
year = {2021},
date = {2021-09-00},
journal = {Physics Letters B},
volume = {820},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Tom Vieijra; Jannes Nys
In: Physical Review B, vol. 104, no. 4, 2021, ISSN: 2469-9969.
@article{Vieijra_2021b,
title = {Many-body quantum states with exact conservation of non-Abelian and lattice symmetries through variational Monte Carlo},
author = {Tom Vieijra and Jannes Nys},
url = {http://dx.doi.org/10.1103/PhysRevB.104.045123},
doi = {10.1103/physrevb.104.045123},
issn = {2469-9969},
year = {2021},
date = {2021-07-01},
journal = {Physical Review B},
volume = {104},
number = {4},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
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Luis E. C. Rocha; Jan Ryckebusch; Koen Schoors; Matthew Smith
The scaling of social interactions across animal species
In: Scientific Reports, vol. 11, no. 1, 2021, ISSN: 2045-2322.
@article{Rocha_2021b,
title = {The scaling of social interactions across animal species},
author = {Luis E. C. Rocha and Jan Ryckebusch and Koen Schoors and Matthew Smith},
url = {http://dx.doi.org/10.1038/s41598-021-92025-1},
doi = {10.1038/s41598-021-92025-1},
issn = {2045-2322},
year = {2021},
date = {2021-06-01},
journal = {Scientific Reports},
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Luis E. C. Rocha; Jan Ryckebusch; Koen Schoors; Matthew Smith
The scaling of social interactions across animal species
In: Scientific Reports, vol. 11, no. 1, 2021, ISSN: 2045-2322.
@article{Rocha_2021,
title = {The scaling of social interactions across animal species},
author = {Luis E. C. Rocha and Jan Ryckebusch and Koen Schoors and Matthew Smith},
url = {http://dx.doi.org/10.1038/s41598-021-92025-1},
doi = {10.1038/s41598-021-92025-1},
issn = {2045-2322},
year = {2021},
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journal = {Scientific Reports},
volume = {11},
number = {1},
publisher = {Springer Science and Business Media LLC},
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Jan Ryckebusch
In: Nat. Phys., vol. 17, no. 6, pp. 667–668, 2021, ISSN: 1745-2481.
@article{Ryckebusch2021,
title = {Knock-out interpretability},
author = {Jan Ryckebusch},
doi = {10.1038/s41567-021-01224-0},
issn = {1745-2481},
year = {2021},
date = {2021-06-00},
journal = {Nat. Phys.},
volume = {17},
number = {6},
pages = {667–668},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Jan Ryckebusch
In: Nature Physics, vol. 17, no. 6, pp. 667–668, 2021, ISSN: 1745-2481.
@article{Ryckebusch_2021b,
title = {Knock-out interpretability},
author = {Jan Ryckebusch},
url = {http://dx.doi.org/10.1038/s41567-021-01224-0},
doi = {10.1038/s41567-021-01224-0},
issn = {1745-2481},
year = {2021},
date = {2021-04-01},
journal = {Nature Physics},
volume = {17},
number = {6},
pages = {667–668},
publisher = {Springer Science and Business Media LLC},
keywords = {},
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Jan Ryckebusch
In: Nature Physics, vol. 17, no. 6, pp. 667–668, 2021, ISSN: 1745-2481.
@article{Ryckebusch_2021,
title = {Knock-out interpretability},
author = {Jan Ryckebusch},
url = {http://dx.doi.org/10.1038/s41567-021-01224-0},
doi = {10.1038/s41567-021-01224-0},
issn = {1745-2481},
year = {2021},
date = {2021-04-01},
journal = {Nature Physics},
volume = {17},
number = {6},
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publisher = {Springer Science and Business Media LLC},
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Aaron Bramson; Kevin Hoefman; Koen Schoors; Jan Ryckebusch
Diplomatic Relations in a Virtual World
In: Political Analysis, vol. 30, no. 2, pp. 214–235, 2021, ISSN: 1476-4989.
@article{Bramson_2021b,
title = {Diplomatic Relations in a Virtual World},
author = {Aaron Bramson and Kevin Hoefman and Koen Schoors and Jan Ryckebusch},
url = {http://dx.doi.org/10.1017/pan.2021.1},
doi = {10.1017/pan.2021.1},
issn = {1476-4989},
year = {2021},
date = {2021-04-01},
journal = {Political Analysis},
volume = {30},
number = {2},
pages = {214–235},
publisher = {Cambridge University Press (CUP)},
keywords = {},
pubstate = {published},
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Aaron Bramson; Kevin Hoefman; Koen Schoors; Jan Ryckebusch
Diplomatic Relations in a Virtual World
In: Political Analysis, vol. 30, no. 2, pp. 214–235, 2021, ISSN: 1476-4989.
@article{Bramson_2021,
title = {Diplomatic Relations in a Virtual World},
author = {Aaron Bramson and Kevin Hoefman and Koen Schoors and Jan Ryckebusch},
url = {http://dx.doi.org/10.1017/pan.2021.1},
doi = {10.1017/pan.2021.1},
issn = {1476-4989},
year = {2021},
date = {2021-04-01},
journal = {Political Analysis},
volume = {30},
number = {2},
pages = {214–235},
publisher = {Cambridge University Press (CUP)},
keywords = {},
pubstate = {published},
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2020
Andres M. Belaza; Jan Ryckebusch; Koen Schoors; Luis E. C. Rocha; Benjamin Vandermarliere
In: PLOS ONE, vol. 15, no. 10, pp. e0240196, 2020, ISSN: 1932-6203.
@article{Belaza_2020,
title = {On the connection between real-world circumstances and online player behaviour: The case of EVE Online},
author = {Andres M. Belaza and Jan Ryckebusch and Koen Schoors and Luis E. C. Rocha and Benjamin Vandermarliere},
editor = {Jichang Zhao},
url = {http://dx.doi.org/10.1371/journal.pone.0240196},
doi = {10.1371/journal.pone.0240196},
issn = {1932-6203},
year = {2020},
date = {2020-10-01},
journal = {PLOS ONE},
volume = {15},
number = {10},
pages = {e0240196},
publisher = {Public Library of Science (PLoS)},
keywords = {},
pubstate = {published},
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Andres M. Belaza; Jan Ryckebusch; Koen Schoors; Luis E. C. Rocha; Benjamin Vandermarliere
In: PLOS ONE, vol. 15, no. 10, pp. e0240196, 2020, ISSN: 1932-6203.
@article{Belaza_2020b,
title = {On the connection between real-world circumstances and online player behaviour: The case of EVE Online},
author = {Andres M. Belaza and Jan Ryckebusch and Koen Schoors and Luis E. C. Rocha and Benjamin Vandermarliere},
editor = {Jichang Zhao},
url = {http://dx.doi.org/10.1371/journal.pone.0240196},
doi = {10.1371/journal.pone.0240196},
issn = {1932-6203},
year = {2020},
date = {2020-10-01},
journal = {PLOS ONE},
volume = {15},
number = {10},
pages = {e0240196},
publisher = {Public Library of Science (PLoS)},
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N. Van Dessel; A. Nikolakopoulos; N. Jachowicz
Lepton kinematics in low-energy neutrino-argon interactions
In: Physical Review C, vol. 101, no. 4, 2020, ISSN: 2469-9993.
@article{Van_Dessel_2020,
title = {Lepton kinematics in low-energy neutrino-argon interactions},
author = {N. Van Dessel and A. Nikolakopoulos and N. Jachowicz},
url = {http://dx.doi.org/10.1103/PhysRevC.101.045502},
doi = {10.1103/physrevc.101.045502},
issn = {2469-9993},
year = {2020},
date = {2020-04-01},
journal = {Physical Review C},
volume = {101},
number = {4},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
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2019
Marnix Van Soom; Milan Heuvel; Jan Ryckebusch; Koen Schoors
In: Sci Rep, vol. 9, no. 1, 2019, ISSN: 2045-2322.
@article{VanSoom2019b,
title = {Loan maturity aggregation in interbank lending networks obscures mesoscale structure and economic functions},
author = {Marnix Van Soom and Milan Heuvel and Jan Ryckebusch and Koen Schoors},
doi = {10.1038/s41598-019-48924-5},
issn = {2045-2322},
year = {2019},
date = {2019-12-00},
urldate = {2019-12-00},
journal = {Sci Rep},
volume = {9},
number = {1},
publisher = {Springer Science and Business Media LLC},
abstract = {Since the 2007–2009 financial crisis, substantial academic effort has been dedicated to improving our understanding of interbank lending networks (ILNs). Because of data limitations or by choice, the literature largely lacks multiple loan maturities. We employ a complete interbank loan contract dataset to investigate whether maturity details are informative of the network structure.
Applying the layered stochastic block model of Peixoto (2015) and other tools from network science on a time series of bilateral loans with multiple maturity layers in the Russian ILN, we find that collapsing all such layers consistently obscures mesoscale structure. The optimal maturity granularity lies between completely collapsing and completely separating the maturity layers and depends on the development phase of the interbank market, with a more developed market requiring more layers for optimal description.
Closer inspection of the inferred maturity bins associated with the optimal maturity granularity reveals specific economic functions, from liquidity intermediation to financing. Collapsing a network with multiple underlying maturity layers or extracting one such layer, common in economic research, is therefore not only an incomplete representation of the ILN’s mesoscale structure, but also conceals existing economic functions. This holds important insights and opportunities for theoretical and empirical studies on interbank market functioning, contagion, stability, and on the desirable level of regulatory data disclosure.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Since the 2007–2009 financial crisis, substantial academic effort has been dedicated to improving our understanding of interbank lending networks (ILNs). Because of data limitations or by choice, the literature largely lacks multiple loan maturities. We employ a complete interbank loan contract dataset to investigate whether maturity details are informative of the network structure.
Applying the layered stochastic block model of Peixoto (2015) and other tools from network science on a time series of bilateral loans with multiple maturity layers in the Russian ILN, we find that collapsing all such layers consistently obscures mesoscale structure. The optimal maturity granularity lies between completely collapsing and completely separating the maturity layers and depends on the development phase of the interbank market, with a more developed market requiring more layers for optimal description.
Closer inspection of the inferred maturity bins associated with the optimal maturity granularity reveals specific economic functions, from liquidity intermediation to financing. Collapsing a network with multiple underlying maturity layers or extracting one such layer, common in economic research, is therefore not only an incomplete representation of the ILN’s mesoscale structure, but also conceals existing economic functions. This holds important insights and opportunities for theoretical and empirical studies on interbank market functioning, contagion, stability, and on the desirable level of regulatory data disclosure.
Applying the layered stochastic block model of Peixoto (2015) and other tools from network science on a time series of bilateral loans with multiple maturity layers in the Russian ILN, we find that collapsing all such layers consistently obscures mesoscale structure. The optimal maturity granularity lies between completely collapsing and completely separating the maturity layers and depends on the development phase of the interbank market, with a more developed market requiring more layers for optimal description.
Closer inspection of the inferred maturity bins associated with the optimal maturity granularity reveals specific economic functions, from liquidity intermediation to financing. Collapsing a network with multiple underlying maturity layers or extracting one such layer, common in economic research, is therefore not only an incomplete representation of the ILN’s mesoscale structure, but also conceals existing economic functions. This holds important insights and opportunities for theoretical and empirical studies on interbank market functioning, contagion, stability, and on the desirable level of regulatory data disclosure.
Jan Ryckebusch; Wim Cosyn; Tom Vieijra; Corneel Casert
In: Physical Review C, vol. 100, no. 5, 2019, ISSN: 2469-9993.
@article{Ryckebusch_2019,
title = {Isospin composition of the high-momentum fluctuations in nuclei from asymptotic momentum distributions},
author = {Jan Ryckebusch and Wim Cosyn and Tom Vieijra and Corneel Casert},
url = {http://dx.doi.org/10.1103/PhysRevC.100.054620},
doi = {10.1103/physrevc.100.054620},
issn = {2469-9993},
year = {2019},
date = {2019-11-01},
journal = {Physical Review C},
volume = {100},
number = {5},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
N. Van Dessel; N. Jachowicz; A. Nikolakopoulos
In: Physical Review C, vol. 100, no. 5, 2019, ISSN: 2469-9993.
@article{Van_Dessel_2019,
title = {Forbidden transitions in neutral- and charged-current interactions between low-energy neutrinos and argon},
author = {N. Van Dessel and N. Jachowicz and A. Nikolakopoulos},
url = {http://dx.doi.org/10.1103/PhysRevC.100.055503},
doi = {10.1103/physrevc.100.055503},
issn = {2469-9993},
year = {2019},
date = {2019-11-01},
journal = {Physical Review C},
volume = {100},
number = {5},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
R. González-Jiménez; A. Nikolakopoulos; N. Jachowicz; J. M. Udías
In: Physical Review C, vol. 100, no. 4, 2019, ISSN: 2469-9993.
@article{Gonz_lez_Jim_nez_2019,
title = {Nuclear effects in electron-nucleus and neutrino-nucleus scattering within a relativistic quantum mechanical framework},
author = {R. González-Jiménez and A. Nikolakopoulos and N. Jachowicz and J. M. Udías},
url = {http://dx.doi.org/10.1103/PhysRevC.100.045501},
doi = {10.1103/physrevc.100.045501},
issn = {2469-9993},
year = {2019},
date = {2019-10-01},
journal = {Physical Review C},
volume = {100},
number = {4},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
A. Nikolakopoulos; N. Jachowicz; N. Van Dessel; K. Niewczas; R. González-Jiménez; J. M. Udías; V. Pandey
Electron versus Muon Neutrino Induced Cross Sections in Charged Current Quasielastic Processes
In: Physical Review Letters, vol. 123, no. 5, 2019, ISSN: 1079-7114.
@article{Nikolakopoulos_2019,
title = {Electron versus Muon Neutrino Induced Cross Sections in Charged Current Quasielastic Processes},
author = {A. Nikolakopoulos and N. Jachowicz and N. Van Dessel and K. Niewczas and R. González-Jiménez and J. M. Udías and V. Pandey},
url = {http://dx.doi.org/10.1103/PhysRevLett.123.052501},
doi = {10.1103/physrevlett.123.052501},
issn = {1079-7114},
year = {2019},
date = {2019-07-01},
journal = {Physical Review Letters},
volume = {123},
number = {5},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Wim Cosyn; Sabrina Cotogno; Adam Freese; Cédric Lorcé
The energy-momentum tensor of spin-1 hadrons: formalism
In: The European Physical Journal C, vol. 79, no. 6, 2019, ISSN: 1434-6052.
@article{Cosyn_2019d,
title = {The energy-momentum tensor of spin-1 hadrons: formalism},
author = {Wim Cosyn and Sabrina Cotogno and Adam Freese and Cédric Lorcé},
url = {http://dx.doi.org/10.1140/epjc/s10052-019-6981-3},
doi = {10.1140/epjc/s10052-019-6981-3},
issn = {1434-6052},
year = {2019},
date = {2019-06-01},
journal = {The European Physical Journal C},
volume = {79},
number = {6},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
W. Cosyn; A. Freese; B. Pire
Polynomiality sum rules for generalized parton distributions of spin-1 targets
In: Physical Review D, vol. 99, no. 9, 2019, ISSN: 2470-0029.
@article{Cosyn_2019,
title = {Polynomiality sum rules for generalized parton distributions of spin-1 targets},
author = {W. Cosyn and A. Freese and B. Pire},
url = {http://dx.doi.org/10.1103/PhysRevD.99.094035},
doi = {10.1103/physrevd.99.094035},
issn = {2470-0029},
year = {2019},
date = {2019-05-01},
journal = {Physical Review D},
volume = {99},
number = {9},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jan Ryckebusch; Wim Cosyn; Sam Stevens; Corneel Casert; Jannes Nys
The isospin and neutron-to-proton excess dependence of short-range correlations
In: Physics Letters B, vol. 792, pp. 21–28, 2019, ISSN: 0370-2693.
@article{Ryckebusch_2019d,
title = {The isospin and neutron-to-proton excess dependence of short-range correlations},
author = {Jan Ryckebusch and Wim Cosyn and Sam Stevens and Corneel Casert and Jannes Nys},
url = {http://dx.doi.org/10.1016/j.physletb.2019.03.016},
doi = {10.1016/j.physletb.2019.03.016},
issn = {0370-2693},
year = {2019},
date = {2019-05-01},
journal = {Physics Letters B},
volume = {792},
pages = {21–28},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jan Ryckebusch; Wim Cosyn; Sam Stevens; Corneel Casert; Jannes Nys
The isospin and neutron-to-proton excess dependence of short-range correlations
In: Physics Letters B, vol. 792, pp. 21–28, 2019, ISSN: 0370-2693.
@article{Ryckebusch_2019b,
title = {The isospin and neutron-to-proton excess dependence of short-range correlations},
author = {Jan Ryckebusch and Wim Cosyn and Sam Stevens and Corneel Casert and Jannes Nys},
url = {http://dx.doi.org/10.1016/j.physletb.2019.03.016},
doi = {10.1016/j.physletb.2019.03.016},
issn = {0370-2693},
year = {2019},
date = {2019-05-01},
journal = {Physics Letters B},
volume = {792},
pages = {21–28},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
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Jan Ryckebusch; Wim Cosyn; Sam Stevens; Corneel Casert; Jannes Nys
The isospin and neutron-to-proton excess dependence of short-range correlations
In: Physics Letters B, vol. 792, pp. 21–28, 2019, ISSN: 0370-2693.
@article{Ryckebusch_2019c,
title = {The isospin and neutron-to-proton excess dependence of short-range correlations},
author = {Jan Ryckebusch and Wim Cosyn and Sam Stevens and Corneel Casert and Jannes Nys},
url = {http://dx.doi.org/10.1016/j.physletb.2019.03.016},
doi = {10.1016/j.physletb.2019.03.016},
issn = {0370-2693},
year = {2019},
date = {2019-05-01},
journal = {Physics Letters B},
volume = {792},
pages = {21–28},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Andres M. Belaza; Jan Ryckebusch; Aaron Bramson; Corneel Casert; Kevin Hoefman; Koen Schoors; Milan Heuvel; Benjamin Vandermarliere
In: Physica A: Statistical Mechanics and its Applications, vol. 518, pp. 270–284, 2019, ISSN: 0378-4371.
@article{Belaza_2019,
title = {Social stability and extended social balance—Quantifying the role of inactive links in social networks},
author = {Andres M. Belaza and Jan Ryckebusch and Aaron Bramson and Corneel Casert and Kevin Hoefman and Koen Schoors and Milan Heuvel and Benjamin Vandermarliere},
url = {http://dx.doi.org/10.1016/j.physa.2018.11.055},
doi = {10.1016/j.physa.2018.11.055},
issn = {0378-4371},
year = {2019},
date = {2019-03-01},
journal = {Physica A: Statistical Mechanics and its Applications},
volume = {518},
pages = {270–284},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Andres M. Belaza; Jan Ryckebusch; Aaron Bramson; Corneel Casert; Kevin Hoefman; Koen Schoors; Milan Heuvel; Benjamin Vandermarliere
In: Physica A: Statistical Mechanics and its Applications, vol. 518, pp. 270–284, 2019, ISSN: 0378-4371.
@article{Belaza_2019b,
title = {Social stability and extended social balance—Quantifying the role of inactive links in social networks},
author = {Andres M. Belaza and Jan Ryckebusch and Aaron Bramson and Corneel Casert and Kevin Hoefman and Koen Schoors and Milan Heuvel and Benjamin Vandermarliere},
url = {http://dx.doi.org/10.1016/j.physa.2018.11.055},
doi = {10.1016/j.physa.2018.11.055},
issn = {0378-4371},
year = {2019},
date = {2019-03-01},
journal = {Physica A: Statistical Mechanics and its Applications},
volume = {518},
pages = {270–284},
publisher = {Elsevier BV},
keywords = {},
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}
Andres M. Belaza; Jan Ryckebusch; Aaron Bramson; Corneel Casert; Kevin Hoefman; Koen Schoors; Milan Heuvel; Benjamin Vandermarliere
In: Physica A: Statistical Mechanics and its Applications, vol. 518, pp. 270–284, 2019, ISSN: 0378-4371.
@article{Belaza_2019c,
title = {Social stability and extended social balance—Quantifying the role of inactive links in social networks},
author = {Andres M. Belaza and Jan Ryckebusch and Aaron Bramson and Corneel Casert and Kevin Hoefman and Koen Schoors and Milan Heuvel and Benjamin Vandermarliere},
url = {http://dx.doi.org/10.1016/j.physa.2018.11.055},
doi = {10.1016/j.physa.2018.11.055},
issn = {0378-4371},
year = {2019},
date = {2019-03-01},
journal = {Physica A: Statistical Mechanics and its Applications},
volume = {518},
pages = {270–284},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
C. Casert; T. Vieijra; J. Nys; J. Ryckebusch
Interpretable machine learning for inferring the phase boundaries in a nonequilibrium system
In: Physical Review E, vol. 99, no. 2, 2019, ISSN: 2470-0053.
@article{Casert_2019,
title = {Interpretable machine learning for inferring the phase boundaries in a nonequilibrium system},
author = {C. Casert and T. Vieijra and J. Nys and J. Ryckebusch},
url = {http://dx.doi.org/10.1103/PhysRevE.99.023304},
doi = {10.1103/physreve.99.023304},
issn = {2470-0053},
year = {2019},
date = {2019-02-01},
journal = {Physical Review E},
volume = {99},
number = {2},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
K. Van Houcke; F. Werner; T. Ohgoe; N. V. Prokof’ev; B. V. Svistunov
Diagrammatic Monte Carlo algorithm for the resonant Fermi gas
In: Physical Review B, vol. 99, no. 3, 2019, ISSN: 2469-9969.
@article{Van_Houcke_2019,
title = {Diagrammatic Monte Carlo algorithm for the resonant Fermi gas},
author = {K. Van Houcke and F. Werner and T. Ohgoe and N. V. Prokof’ev and B. V. Svistunov},
url = {http://dx.doi.org/10.1103/PhysRevB.99.035140},
doi = {10.1103/physrevb.99.035140},
issn = {2469-9969},
year = {2019},
date = {2019-01-01},
journal = {Physical Review B},
volume = {99},
number = {3},
publisher = {American Physical Society (APS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Miscellaneous
2021
Tom Vieijra; Jannes Nys
2021.
@misc{vieijra2021manybodyquantumstatesexact,
title = {Many-Body Quantum States with Exact Conservation of Non-Abelian and Lattice Symmetries through Variational Monte Carlo},
author = {Tom Vieijra and Jannes Nys},
url = {https://arxiv.org/abs/2104.14869},
doi = {https://doi.org/10.1103/PhysRevB.104.045123},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Tom Vieijra; Jannes Nys
2021.
@misc{vieijra2021manybodyquantumstatesexactb,
title = {Many-Body Quantum States with Exact Conservation of Non-Abelian and Lattice Symmetries through Variational Monte Carlo},
author = {Tom Vieijra and Jannes Nys},
url = {https://arxiv.org/abs/2104.14869},
doi = {https://doi.org/10.1103/PhysRevB.104.045123},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Luis E C Rocha; Jan Ryckebusch; Koen Schoors; Matthew Smith
The scaling of social interactions across animal species
2021.
@misc{rocha2021scalingsocialinteractionsanimalb,
title = {The scaling of social interactions across animal species},
author = {Luis E C Rocha and Jan Ryckebusch and Koen Schoors and Matthew Smith},
url = {https://arxiv.org/abs/2102.04298},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Rituparno Mandal; Corneel Casert; Peter Sollich
Robust Prediction of Force Chains in Jammed Solids using Graph Neural Networks
2021.
@misc{mandal2021robustpredictionforcechainsb,
title = {Robust Prediction of Force Chains in Jammed Solids using Graph Neural Networks},
author = {Rituparno Mandal and Corneel Casert and Peter Sollich},
url = {https://arxiv.org/abs/2105.08505},
doi = {https://doi.org/10.1038/s41467-022-31732-3},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
W. Cosyn; J. Ryckebusch
Phase-space distributions of nuclear short-range correlations
2021.
@misc{cosyn2021phasespacedistributionsnuclearshortrangeb,
title = {Phase-space distributions of nuclear short-range correlations},
author = {W. Cosyn and J. Ryckebusch},
url = {https://arxiv.org/abs/2106.01249},
doi = {https://doi.org/10.1016/j.physletb.2021.136526},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Rituparno Mandal; Corneel Casert; Peter Sollich
Robust Prediction of Force Chains in Jammed Solids using Graph Neural Networks
2021.
@misc{mandal2021robustpredictionforcechains,
title = {Robust Prediction of Force Chains in Jammed Solids using Graph Neural Networks},
author = {Rituparno Mandal and Corneel Casert and Peter Sollich},
url = {https://arxiv.org/abs/2105.08505},
doi = {https://doi.org/10.1038/s41467-022-31732-3},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
W. Cosyn; J. Ryckebusch
Phase-space distributions of nuclear short-range correlations
2021.
@misc{cosyn2021phasespacedistributionsnuclearshortrange,
title = {Phase-space distributions of nuclear short-range correlations},
author = {W. Cosyn and J. Ryckebusch},
url = {https://arxiv.org/abs/2106.01249},
doi = {https://doi.org/10.1016/j.physletb.2021.136526},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Luis E C Rocha; Jan Ryckebusch; Koen Schoors; Matthew Smith
The scaling of social interactions across animal species
2021.
@misc{rocha2021scalingsocialinteractionsanimal,
title = {The scaling of social interactions across animal species},
author = {Luis E C Rocha and Jan Ryckebusch and Koen Schoors and Matthew Smith},
url = {https://arxiv.org/abs/2102.04298},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
2020
Tom Vieijra; Corneel Casert; Jannes Nys; Wesley De Neve; Jutho Haegeman; Jan Ryckebusch; Frank Verstraete
Restricted Boltzmann Machines for Quantum States with Nonabelian or Anyonic Symmetries
2020.
@misc{vieijra2020restrictedboltzmannmachinesquantum,
title = {Restricted Boltzmann Machines for Quantum States with Nonabelian or Anyonic Symmetries},
author = {Tom Vieijra and Corneel Casert and Jannes Nys and Wesley De Neve and Jutho Haegeman and Jan Ryckebusch and Frank Verstraete},
url = {https://arxiv.org/abs/1905.06034},
doi = {https://doi.org/10.1103/PhysRevLett.124.097201},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Corneel Casert; Kyle Mills; Tom Vieijra; Jan Ryckebusch; Isaac Tamblyn
2020.
@misc{casert2020opticallatticeexperimentsunobserved,
title = {Optical lattice experiments at unobserved conditions and scales through generative adversarial deep learning},
author = {Corneel Casert and Kyle Mills and Tom Vieijra and Jan Ryckebusch and Isaac Tamblyn},
url = {https://arxiv.org/abs/2002.07055},
doi = {https://doi.org/10.1103/PhysRevResearch.3.033267},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Corneel Casert; Kyle Mills; Tom Vieijra; Jan Ryckebusch; Isaac Tamblyn
2020.
@misc{casert2020opticallatticeexperimentsunobservedb,
title = {Optical lattice experiments at unobserved conditions and scales through generative adversarial deep learning},
author = {Corneel Casert and Kyle Mills and Tom Vieijra and Jan Ryckebusch and Isaac Tamblyn},
url = {https://arxiv.org/abs/2002.07055},
doi = {https://doi.org/10.1103/PhysRevResearch.3.033267},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
R. González-Jiménez; M. B. Barbaro; J. A. Caballero; T. W. Donnelly; N. Jachowicz; G. D. Megias; K. Niewczas; A. Nikolakopoulos; J. M. Udías
Constraints in modeling the quasielastic response in inclusive lepton-nucleus scattering
2020.
@misc{gonzálezjiménez2020constraintsmodelingquasielasticresponseb,
title = {Constraints in modeling the quasielastic response in inclusive lepton-nucleus scattering},
author = {R. González-Jiménez and M. B. Barbaro and J. A. Caballero and T. W. Donnelly and N. Jachowicz and G. D. Megias and K. Niewczas and A. Nikolakopoulos and J. M. Udías},
url = {https://arxiv.org/abs/1909.07497},
doi = {https://doi.org/10.1103/PhysRevC.101.015503},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Tom Vieijra; Corneel Casert; Jannes Nys; Wesley De Neve; Jutho Haegeman; Jan Ryckebusch; Frank Verstraete
Restricted Boltzmann Machines for Quantum States with Nonabelian or Anyonic Symmetries
2020.
@misc{vieijra2020restrictedboltzmannmachinesquantumb,
title = {Restricted Boltzmann Machines for Quantum States with Nonabelian or Anyonic Symmetries},
author = {Tom Vieijra and Corneel Casert and Jannes Nys and Wesley De Neve and Jutho Haegeman and Jan Ryckebusch and Frank Verstraete},
url = {https://arxiv.org/abs/1905.06034},
doi = {https://doi.org/10.1103/PhysRevLett.124.097201},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
R. González-Jiménez; M. B. Barbaro; J. A. Caballero; T. W. Donnelly; N. Jachowicz; G. D. Megias; K. Niewczas; A. Nikolakopoulos; J. M. Udías
Constraints in modeling the quasielastic response in inclusive lepton-nucleus scattering
2020.
@misc{gonzálezjiménez2020constraintsmodelingquasielasticresponse,
title = {Constraints in modeling the quasielastic response in inclusive lepton-nucleus scattering},
author = {R. González-Jiménez and M. B. Barbaro and J. A. Caballero and T. W. Donnelly and N. Jachowicz and G. D. Megias and K. Niewczas and A. Nikolakopoulos and J. M. Udías},
url = {https://arxiv.org/abs/1909.07497},
doi = {https://doi.org/10.1103/PhysRevC.101.015503},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Corneel Casert; Tom Vieijra; Stephen Whitelam; Isaac Tamblyn
2020.
@misc{casert2020dynamicallargedeviationstwodimensionalb,
title = {Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz},
author = {Corneel Casert and Tom Vieijra and Stephen Whitelam and Isaac Tamblyn},
url = {https://arxiv.org/abs/2011.08657},
doi = {https://doi.org/10.1103/PhysRevLett.127.120602},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Corneel Casert; Tom Vieijra; Stephen Whitelam; Isaac Tamblyn
2020.
@misc{casert2020dynamicallargedeviationstwodimensional,
title = {Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz},
author = {Corneel Casert and Tom Vieijra and Stephen Whitelam and Isaac Tamblyn},
url = {https://arxiv.org/abs/2011.08657},
doi = {https://doi.org/10.1103/PhysRevLett.127.120602},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Proceedings Articles
2019
Wim Cosyn; Bernard Pire
Deuteron Helicity Flip Generalized Parton Distributions in a Convolution Model
In: Proceedings of the 8th International Conference on Quarks and Nuclear Physics (QNP2018), Journal of the Physical Society of Japan, 2019.
@inproceedings{Cosyn_2019b,
title = {Deuteron Helicity Flip Generalized Parton Distributions in a Convolution Model},
author = {Wim Cosyn and Bernard Pire},
url = {http://dx.doi.org/10.7566/JPSCP.26.021005},
doi = {10.7566/jpscp.26.021005},
year = {2019},
date = {2019-11-01},
booktitle = {Proceedings of the 8th International Conference on Quarks and Nuclear Physics (QNP2018)},
publisher = {Journal of the Physical Society of Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wim Cosyn; Bernard Pire
Deuteron Helicity Flip Generalized Parton Distributions in a Convolution Model
In: Proceedings of the 8th International Conference on Quarks and Nuclear Physics (QNP2018), Journal of the Physical Society of Japan, 2019.
@inproceedings{Cosyn_2019c,
title = {Deuteron Helicity Flip Generalized Parton Distributions in a Convolution Model},
author = {Wim Cosyn and Bernard Pire},
url = {http://dx.doi.org/10.7566/JPSCP.26.021005},
doi = {10.7566/jpscp.26.021005},
year = {2019},
date = {2019-11-01},
booktitle = {Proceedings of the 8th International Conference on Quarks and Nuclear Physics (QNP2018)},
publisher = {Journal of the Physical Society of Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}