Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Kavli Affiliate: Brian Nord | First 5 Authors: Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord | Summary: Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation […]


Continue.. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Kavli Affiliate: Brian Nord | First 5 Authors: Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord | Summary: Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation […]


Continue.. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Results and Limits of Time Division Multiplexing for the BICEP Array High Frequency Receivers

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: S. Fatigoni, P. A. R. Ade, Z. Ahmed, M. Amiri, D. Barkats | Summary: Time-Division Multiplexing is the readout architecture of choice for many ground and space experiments, as it is a very mature technology with proven outstanding low-frequency noise stability, which represents a central challenge in […]


Continue.. Results and Limits of Time Division Multiplexing for the BICEP Array High Frequency Receivers

Results and Limits of Time Division Multiplexing for the BICEP Array High Frequency Receivers

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: S. Fatigoni, P. A. R. Ade, Z. Ahmed, M. Amiri, D. Barkats | Summary: Time-Division Multiplexing is the readout architecture of choice for many ground and space experiments, as it is a very mature technology with proven outstanding low-frequency noise stability, which represents a central challenge in […]


Continue.. Results and Limits of Time Division Multiplexing for the BICEP Array High Frequency Receivers

Results and Limits of Time Division Multiplexing for the BICEP Array High Frequency Receivers

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: , , , , | Summary: Time-Division Multiplexing is the readout architecture of choice for many ground and space experiments, as it is a very mature technology with proven outstanding low-frequency noise stability, which represents a central challenge in multiplexing. Once fully populated, each of the two […]


Continue.. Results and Limits of Time Division Multiplexing for the BICEP Array High Frequency Receivers

Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

Zhichao Carton Zeng, Annika H. G. Peter, Xiaolong Du, Shengqi Yang, Andrew Benson | Summary: [[{“value”:”One of the hottest questions in the cosmology of self-interacting dark matter (SIDM) is whether scatterings can induce detectable core-collapse in halos by the present day. Because gravitational tides can accelerate core-collapse, the most promising targets to observe core-collapse are […]


Continue.. Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

Zhichao Carton Zeng, Annika H. G. Peter, Xiaolong Du, Shengqi Yang, Andrew Benson | Summary: [[{“value”:”One of the hottest questions in the cosmology of self-interacting dark matter (SIDM) is whether scatterings can induce detectable core-collapse in halos by the present day. Because gravitational tides can accelerate core-collapse, the most promising targets to observe core-collapse are […]


Continue.. Till the core collapses: the evolution and properties of self-interacting dark matter subhalos