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19932026
most citedExperimental and Theoretical Challenges in the Search for the Quark Gluon Plasma: The STAR Collaboration's Critical Assessment of the Evidence from RHIC Collisions

3.4k citations

Showing 2020Show all

199 papers · 1 filter

astro-ph.CO2020★ 73 cited

Illuminating the dark side of cosmic star formation two billion years after the Big Bang

Margherita Talia, Andrea Cimatti, Marika Giulietti +5

How and when did galaxies form and assemble their stars and stellar mass? The answer to these questions, so crucial to astrophysics and cosmology, requires the full reconstruction…

cs.LG2020★ 4 cited

Predicting the Critical Number of Layers for Hierarchical Support Vector Regression

Ryan Mohr, Maria Fonoberova, Zlatko Drmač +2

Hierarchical support vector regression (HSVR) models a function from data as a linear combination of SVR models at a range of scales, starting at a coarse scale and moving to finer…

stat.ME2020

TVOR: Finding Discrete Total Variation Outliers among Histograms

Nikola Banić, Neven Elezović

Pearson's chi-squared test can detect outliers in the data distribution of a given set of histograms. However, in fields such as demographics (for e.g. birth years), outliers may b…

astro-ph.HE2020★ 30 cited

VHE gamma-ray detection of FSRQ QSO B1420+326 and modeling of its enhanced broadband state in 2020

V. A. Acciari, S. Ansoldi, L. A. Antonelli +230

Context. QSO B1420+326 is a blazar classified as a Flat Spectrum Radio Quasar (FSRQ). In the beginning of 2020 it underwent an enhanced flux state. An extensive multiwavelength cam…

cs.RO2020★ 7 cited

Analysis of Safe Ultrawideband Human-Robot Communication in Automated Collaborative Warehouse

Branimir Ivšić, Zvonimir Šipuš, Juraj Bartolić +1

The paper presents the propagation analysis of ultrawideband Gaussian signal in an automated collaborative warehouse environment where human and robots communicate to ensure that m…

physics.ins-det2020★ 33 cited

Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques

V. Babiano-Suárez, J. Lerendegui-Marco, J. Balibrea-Correa +132

i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in () cross-section measurements using time-…