Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Nick Ekanger, Shunsaku Horiuchi, Hiroki Nagakura, Samantha Reitz, | Summary: The sensitivity of current and future neutrino detectors like Super-Kamiokande (SK), JUNO, Hyper-Kamiokande (HK), and DUNE is expected to allow for the detection of the diffuse supernova neutrino background (DSNB). However, the DSNB model ingredients like the […]

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Nick Ekanger, Shunsaku Horiuchi, Hiroki Nagakura, Samantha Reitz, | Summary: The sensitivity of current and future neutrino detectors like Super-Kamiokande (SK), JUNO, Hyper-Kamiokande (HK), and DUNE is expected to allow for the detection of the diffuse supernova neutrino background (DSNB). However, the DSNB model ingredients like the […]

Kavli Affiliate: David Spergel | First 5 Authors: ChangHoon Hahn, Pablo Lemos, Liam Parker, Bruno Régaldo-Saint Blancard, Michael Eickenberg | Summary: The 3D distribution of galaxies encodes detailed cosmological information on the expansion and growth history of the Universe. We present the first cosmological constraints that exploit non-Gaussian cosmological information on non-linear scales from galaxy […]

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Kentaro Kasai, Masahiro Kawasaki, Naoya Kitajima, Kai Murai, Shunsuke Neda | Summary: We study a modification of the primordial black hole (PBH) formation model from axion bubbles. We assume that the Peccei-Quinn scalar rolls down in the radial direction from a large field value to the potential […]

Kavli Affiliate: Masahiro Takada | First 5 Authors: Ryo Terasawa, Ryuichi Takahashi, Takahiro Nishimichi, Masahiro Takada, | Summary: The growth of large-scale structure, together with the geometrical information of cosmic expansion history and cosmological distances, can be used to obtain constraints on the spatial curvature of the universe that probes the early universe physics, whereas […]

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma | Summary: In recent years, multi-objective optimization (MOO) emerges as a foundational problem underpinning many multi-agent multi-task learning applications. However, existing algorithms in MOO literature remain limited to centralized learning settings, which do not satisfy the distributed […]

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma | Summary: In recent years, multi-objective optimization (MOO) emerges as a foundational problem underpinning many multi-agent multi-task learning applications. However, existing algorithms in MOO literature remain limited to centralized learning settings, which do not satisfy the distributed […]

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma | Summary: In recent years, multi-objective optimization (MOO) emerges as a foundational problem underpinning many multi-agent multi-task learning applications. However, existing algorithms in MOO literature remain limited to centralized learning settings, which do not satisfy the distributed […]

Kavli Affiliate: Satoshi Shirai | First 5 Authors: Risshin Okabe, Satoshi Shirai, , , | Summary: Recently, a novel collider, called $mu$TRISTAN, has been proposed, offering the capability to achieve high-energy collisions of anti-muons. This high-energy collider presents an exceptional opportunity for the discovery of electroweak-interacting massive particles (EWIMPs), which are predicted by various new […]

Kavli Affiliate: Satoshi Shirai | First 5 Authors: Risshin Okabe, Satoshi Shirai, , , | Summary: Recently, a novel collider, called $mu$TRISTAN, has been proposed, offering the capability to achieve high-energy collisions of anti-muons. This high-energy collider presents an exceptional opportunity for the discovery of electroweak-interacting massive particles (EWIMPs), which are predicted by various new […]