Legacy of the First Workshop on Gravitational Wave Astrophysics for Early Career Scientists

Kavli Affiliate: Lijing Shao | First 5 Authors: Jean-Baptiste Bayle, Béatrice Bonga, Daniela Doneva, Tanja Hinderer, Archisman Ghosh | Summary: Gravitational wave science is a dynamical, fast-expanding research field founded on results, tools and methodologies drawn from different research areas and communities. Early career scientists entering this field must learn and combine knowledge and techniques […]


Continue.. Legacy of the First Workshop on Gravitational Wave Astrophysics for Early Career Scientists

AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop

Kavli Affiliate: Jing Wang | First 5 Authors: Yunfei Teng, Jing Wang, Anna Choromanska, , | Summary: Modern deep learning (DL) architectures are trained using variants of the SGD algorithm that is run with a $textit{manually}$ defined learning rate schedule, i.e., the learning rate is dropped at the pre-defined epochs, typically when the training loss […]


Continue.. AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop

Weighing the Milky Way and Andromeda with Artificial Intelligence

Kavli Affiliate: David N. Spergel | First 5 Authors: Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lars Hernquist | Summary: We present new constraints on the masses of the halos hosting the Milky Way and Andromeda galaxies derived using graph neural networks. Our models, trained on thousands of state-of-the-art hydrodynamic simulations of the CAMELS […]


Continue.. Weighing the Milky Way and Andromeda with Artificial Intelligence

Thermal Dark Matter from Freezeout of Inverse Decays

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Ronny Frumkin, Yonit Hochberg, Eric Kuflik, Hitoshi Murayama, | Summary: We propose a new thermal dark matter candidate whose abundance is determined by the freezeout of inverse decays. The relic abundance depends parametrically only on a decay width, while matching the observed value requires that the coupling […]


Continue.. Thermal Dark Matter from Freezeout of Inverse Decays

Plastic Laminate Antireflective Coatings for Millimeter-wave Optics in BICEP Array

Kavli Affiliate: Kent D. Irwin | First 5 Authors: Marion Dierickx, P. A. R. Ade, Zeeshan Ahmed, Mandana Amiri, Denis Barkats | Summary: The BICEP/Keck series of experiments target the Cosmic Microwave Background at degree-scale resolution from the South Pole. Over the next few years, the "Stage-3" BICEP Array (BA) telescope will improve the program’s […]


Continue.. Plastic Laminate Antireflective Coatings for Millimeter-wave Optics in BICEP Array

Plastic Laminate Antireflective Coatings for Millimeter-wave Optics in BICEP Array

Kavli Affiliate: Kent D. Irwin | First 5 Authors: Marion Dierickx, P. A. R. Ade, Zeeshan Ahmed, Mandana Amiri, Denis Barkats | Summary: The BICEP/Keck series of experiments target the Cosmic Microwave Background at degree-scale resolution from the South Pole. Over the next few years, the "Stage-3" BICEP Array (BA) telescope will improve the program’s […]


Continue.. Plastic Laminate Antireflective Coatings for Millimeter-wave Optics in BICEP Array

Plastic Laminate Antireflective Coatings for Millimeter-wave Optics in BICEP Array

Kavli Affiliate: Kent D. Irwin | First 5 Authors: Marion Dierickx, P. A. R. Ade, Zeeshan Ahmed, Mandana Amiri, Denis Barkats | Summary: The BICEP/Keck series of experiments target the Cosmic Microwave Background at degree-scale resolution from the South Pole. Over the next few years, the "Stage-3" BICEP Array (BA) telescope will improve the program’s […]


Continue.. Plastic Laminate Antireflective Coatings for Millimeter-wave Optics in BICEP Array

Building Trustworthy Machine Learning Models for Astronomy

Kavli Affiliate: Brian Nord | First 5 Authors: Michelle Ntampaka, Matthew Ho, Brian Nord, , | Summary: Astronomy is entering an era of data-driven discovery, due in part to modern machine learning (ML) techniques enabling powerful new ways to interpret observations. This shift in our scientific approach requires us to consider whether we can trust […]


Continue.. Building Trustworthy Machine Learning Models for Astronomy

Axion-Gauge Field Dynamics with Backreaction

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Koji Ishiwata, Eiichiro Komatsu, Ippei Obata, , | Summary: Phenomenological success of inflation models with axion and SU(2) gauge fields relies crucially on control of backreaction from particle production. Most of the previous study only demanded the backreaction terms in equations of motion for axion and gauge […]


Continue.. Axion-Gauge Field Dynamics with Backreaction