Revealing the formation mechanism of the shell galaxy NGC474 with MUSE

Kavli Affiliate: Eric Peng | First 5 Authors: Jeremy Fensch, Pierre-Alain Duc, Sungsoon Lim, Éric Emsellem, Michal Bílek | Summary: Stellar shells around galaxies could provide precious insights into their assembly history. However, their formation mechanism remains poorly empirically constrained, in particular the type of galaxy collisions at their origin. We present MUSE@VLT data of […]


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Illuminating Dark Matter Halo Density Profiles Without Subhaloes

Kavli Affiliate: Risa Wechsler | First 5 Authors: Catherine E. Fielder, Yao-Yuan Mao, Andrew R. Zentner, Jeffrey A. Newman, Hao-Yi Wu | Summary: Cold dark matter haloes consist of a relatively smooth dark matter component as well as a system of bound subhaloes. It is the prevailing practice to include all halo mass, including mass […]


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Multi-defect Dynamics in Active Nematics

Kavli Affiliate: Boris I. Shraiman | First 5 Authors: Farzan Vafa, Mark J. Bowick, M. Cristina Marchetti, Boris I. Shraiman, | Summary: Recent experiments and numerical studies have drawn attention to the dynamics of active nematics. Two-dimensional active nematics flow spontaneously and exhibit spatiotemporal chaotic flows with proliferation of topological defects in the nematic texture. […]


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Multi-defect Dynamics in Active Nematics

Kavli Affiliate: Boris I. Shraiman | First 5 Authors: Farzan Vafa, Mark J. Bowick, M. Cristina Marchetti, Boris I. Shraiman, | Summary: Recent experiments and numerical studies have drawn attention to the dynamics of active nematics. Two-dimensional active nematics flow spontaneously and exhibit spatiotemporal chaotic flows with proliferation of topological defects in the nematic texture. […]


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Robust and Accurate Authorship Attribution via Program Normalization

Kavli Affiliate: Ke Wang | First 5 Authors: Yizhen Wang, Mohannad Alhanahnah, Ke Wang, Mihai Christodorescu, Somesh Jha | Summary: Source code attribution approaches have achieved remarkable accuracy thanks to the rapid advances in deep learning. However, recent studies shed light on their vulnerability to adversarial attacks. In particular, they can be easily deceived by […]


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