output
20022026
most citedTheory of Core-Collapse Supernovae

900 citations

Showing 2026Show all

57 papers · 1 filter

nucl-ex2026

A detailed view at magnetic dipole strengths: The case of semi-magic Ti

B. Kelly, M. Spieker, U. Friman-Gayer +14

Magnetic dipole, , strengths were studied in semi-magic Ti up to the neutron-separation threshold by combining data from one-neutron transfer, real-phot…

physics.atom-ph2026

Magnetic Dipole Hyperfine Constants of 15 Energy Levels in Tm II Determined by Collinear Laser Fluorescence Spectroscopy

Hendrik Bodnar, Kristian König, Wilfried Nörtershäuser

We present measurements of the hyperfine structure, transition frequencies and relative intensities in 14 lines of 169Tm+ ions starting from the $4f^{13}({}^2\!F^o_{7/2})6s_{1/2} (…

cs.HC2026

The PIONEER Project: A PrIvacy companion for mOtivatioN and knowlEdge transfER

Simon Althaus, Nina Gerber, Sara Hahn +5

Remaining control over their private data is one of the key challenges in this century for users. We know from prior work that users are often neither in a position to fully grasp…

cs.HC2026

Dynamic Tree Colors: Adaptive Discriminable Hierarchies with Minimum Instability

Tobias Mertz, Steven Lamarr Reynolds, Jörn Kohlhammer

Hierarchical color maps can support users in the analysis of hierarchical data. For large hierarchies, dynamic color maps can improve discriminability upon user interactions, but t…

cs.DS2026

Online and Incremental Fractional Vertex Cover on Trees

Júlia Baligács, Bartłomiej Bosek, Yann Disser +5

In this paper we study the fractional vertex cover problem on trees in two related models: online and incremental. In the online model, the vertices of the tree are known a priori…

cs.DC2026

ShardMeter: Sharded and Geo-Distributed Training Without the Guesswork

Tim Beringer, Patrick Diem, Felix Wolf +1

Training large-scale AI models often outgrows a single data center, demanding sharded, multi-cluster, and decentralized training. However, the huge space of resource allocations ma…