A Call to Arms Control: Synergies between Nonproliferation Applications of Neutrino Detectors and Large-Scale Fundamental Neutrino Physics Experiments

Kavli Affiliate: Mark Vagins | First 5 Authors: Larry Bartoszek, Marc Bergevin, Adam Bernstein, Sandra Bogetic, Doug Cowen | Summary: The High Energy Physics community can benefit from a natural synergy in research activities into next-generation large-scale water and scintillator neutrino detectors, now being studied for remote reactor monitoring, discovery and exclusion applications in cooperative […]


Continue.. A Call to Arms Control: Synergies between Nonproliferation Applications of Neutrino Detectors and Large-Scale Fundamental Neutrino Physics Experiments

Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Kavli Affiliate: David N. Spergel | First 5 Authors: Leander Thiele, Miles Cranmer, William Coulton, Shirley Ho, David N. Spergel | Summary: Theoretical uncertainty limits our ability to extract cosmological information from baryonic fields such as the thermal Sunyaev-Zel’dovich (tSZ) effect. Being sourced by the electron pressure field, the tSZ effect depends on baryonic physics […]


Continue.. Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Kavli Affiliate: David N. Spergel | First 5 Authors: Leander Thiele, Miles Cranmer, William Coulton, Shirley Ho, David N. Spergel | Summary: Theoretical uncertainty limits our ability to extract cosmological information from baryonic fields such as the thermal Sunyaev-Zel’dovich (tSZ) effect. Being sourced by the electron pressure field, the tSZ effect depends on baryonic physics […]


Continue.. Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

New physics from polarised light of the cosmic microwave background

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Eiichiro Komatsu, , , , | Summary: Cosmology requires new physics beyond the Standard Model of elementary particles and fields. What is the fundamental physics behind dark matter and dark energy? What generated the initial fluctuations in the early Universe? Polarised light of the cosmic microwave background […]


Continue.. New physics from polarised light of the cosmic microwave background

New physics from the polarised light of the cosmic microwave background

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Eiichiro Komatsu, , , , | Summary: Cosmology requires new physics beyond the Standard Model of elementary particles and fields. What is the fundamental physics behind dark matter and dark energy? What generated the initial fluctuations in the early Universe? Polarised light of the cosmic microwave background […]


Continue.. New physics from the polarised light of the cosmic microwave background

New physics from the polarised light of the cosmic microwave background

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Eiichiro Komatsu, , , , | Summary: Cosmology requires new physics beyond the Standard Model of elementary particles and fields. What is the fundamental physics behind dark matter and dark energy? What generated the initial fluctuations in the early Universe? Polarised light of the cosmic microwave background […]


Continue.. New physics from the polarised light of the cosmic microwave background

Analysis method for 3D power spectrum of projected tensor field with fast estimator and window convolution modelling: an application to intrinsic alignments

Kavli Affiliate: Masahiro Takada | First 5 Authors: Toshiki Kurita, Masahiro Takada, , , | Summary: Rank-2 tensor fields of large-scale structure, e.g. a tensor field inferred from shapes of galaxies, open up a window to directly access 2 scalar, 2 vector and 2 tensor modes, where the scalar fields can be measured independently from […]


Continue.. Analysis method for 3D power spectrum of projected tensor field with fast estimator and window convolution modelling: an application to intrinsic alignments