An Analytical Latency Model and Evaluation of the Capacity of 5G NR to Support V2X Services using V2N2V Communications

Kavli Affiliate: T. Higuchi | First 5 Authors: M. C. Lucas-Estañ, B. Coll-Perales, T. Shimizu, J. Gozalvez, T. Higuchi | Summary: 5G has been designed to support applications such as connected and automated driving. To this aim, 5G includes a highly flexible New Radio (NR) interface that can be configured to utilize different subcarrier spacings […]


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End-to-End V2X Latency Modeling and Analysis in 5G Networks

Kavli Affiliate: T. Higuchi | First 5 Authors: B. Coll-Perales, M. C. Lucas-Estañ, T. Shimizu, J. Gozalvez, T. Higuchi | Summary: 5G networks provide higher flexibility and improved performance compared to previous cellular technologies. This has raised expectations on the possibility to support advanced V2X services using the cellular network via Vehicle-to-Network (V2N) and V2N2V […]


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Probabilistic Mass Mapping with Neural Score Estimation

Kavli Affiliate: Jia Liu | First 5 Authors: Benjamin Remy, Francois Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck | Summary: Weak lensing mass-mapping is a useful tool to access the full distribution of dark matter on the sky, but because of intrinsic galaxy ellipticies and finite fields/missing data, the recovery of dark matter maps constitutes […]


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Breaking baryon-cosmology degeneracy with the electron density power spectrum

Kavli Affiliate: David N. Spergel | First 5 Authors: Andrina Nicola, Francisco Villaescusa-Navarro, David N. Spergel, Jo Dunkley, Daniel Anglés-Alcázar | Summary: Uncertain feedback processes in galaxies affect the distribution of matter, currently limiting the power of weak lensing surveys. If we can identify cosmological statistics that are robust against these uncertainties, or constrain these […]


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Systematic exploration of heavy element nucleosynthesis in protomagnetar outflows

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Nick Ekanger, Mukul Bhattacharya, Shunsaku Horiuchi, , | Summary: We study the nucleosynthesis products in neutrino-driven winds from rapidly rotating, highly magnetised and misaligned protomagnetars using the nuclear reaction network SkyNet. We adopt a semi-analytic parameterized model for the protomagnetar and systematically study the capabilities of its […]


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Finding Evidence for Inflation and the Origin of Galactic Magnetic Fields with CMB Surveys

Kavli Affiliate: Toshiya Namikawa | First 5 Authors: Sayan Mandal, Neelima Sehgal, Toshiya Namikawa, , | Summary: The origin of the $mumathrm{G}$ magnetic fields observed in galaxies is unknown. One promising scenario is that magnetic fields generated during inflation, larger than 0.1 $mathrm{nG}$ on Mpc scales, were adiabatically compressed to $mumathrm{G}$ strengths in galaxies during […]


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Cosmology with one galaxy?

Kavli Affiliate: David N. Spergel | First 5 Authors: Francisco Villaescusa-Navarro, Jupiter Ding, Shy Genel, Stephanie Tonnesen, Valentina La Torre | Summary: Galaxies can be characterized by many internal properties such as stellar mass, gas metallicity, and star-formation rate. We quantify the amount of cosmological and astrophysical information that the internal properties of individual galaxies […]


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Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter

Kavli Affiliate: David N. Spergel | First 5 Authors: Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro, J. Colin Hill, Miles Cranmer | Summary: Complex systems (stars, supernovae, galaxies, and clusters) often exhibit low scatter relations between observable properties (e.g., luminosity, velocity dispersion, oscillation period, temperature). These scaling relations can illuminate the underlying physics and can provide […]


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The CAMELS project: public data release

Kavli Affiliate: David N. Spergel | First 5 Authors: Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo | Summary: The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynamic simulations and machine learning. CAMELS contains 4,233 cosmological simulations, 2,049 N-body […]


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One Small Step for an Inflaton, One Giant Leap for Inflation: a novel non-Gaussian tail and primordial black holes

Kavli Affiliate: Misao Sasaki | First 5 Authors: Yi-Fu Cai, Xiao-Han Ma, Misao Sasaki, Dong-Gang Wang, Zihan Zhou | Summary: We report a novel prediction from single-field inflation that even a tiny step in the inflaton potential can change our perception of primordial non-Gaussianities of the curvature perturbation. Our analysis focuses on the tail of […]


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