Kavli Affiliate: Katrin Heitmann | Summary:Early Dark Energy (EDE) models have been suggested as a possible solution to the so-called Hubble Tension, a discrepancy of the measurement of the Hubble constant at early and late times. In this paper, we investigate the effects of EDE on large-scale structure probes of cosmology via the EDENS (Early […]
Kavli Affiliate: Paul Schechter | Summary:Finch et al (2002) derived relations for the summed absolute magnifications of quadruply lensed images that vary inversely with flattening in two alternative isothermal gravitational potential models. However, they did not elaborate on the selection effects this "flatter-fainter” relation induces in actual lensed systems. We test the relation against the […]
Kavli Affiliate: Bruce Macintosh | Summary:The upcoming Roman Coronagraph will be the first high-contrast instrument in space capable of high-order wavefront sensing and control technologies, a critical technology demonstration for the proposed Habitable Worlds Observatory (HWO) that aims to directly image and characterize habitable exoEarths. The nominal Roman Coronagraph observing plan involves alternating observations of […]
Kavli Affiliate: Luis Ho | Summary:Understanding the physical processes that regulate galaxy quenching is a key challenge in galaxy formation and evolution. The VariableTNG (VTNG) project provides a laboratory to investigate these processes, as it systematically varies eight parameters of galaxy formation while keeping the initial conditions fixed, allowing the effects of individual feedback prescriptions […]
Kavli Affiliate: Anna Frebel | Summary:We present our chemical abundance analysis of ten new extremely metal-poor stars with $-4.05leqmbox[Fe/H]leq-2.33$, based on high-resolution (R $sim28,000$) Magellan/MIKE spectra. Eight of our stars have low heavy-element abundances of $mbox[Sr/H]<-4.5$ and $mbox[Ba/H]<-4.0$, making them Small Accreted Stellar System (SASS) stars. Four are hyper neutron-capture-element poor with $mbox[Sr/H]<-5.0$, including Gaia […]
Kavli Affiliate: Wei Gao| Summary:Conventionally, robotic perception relies heavily on cameras due to the rich semantic texture they provide. However, their performance degrades significantly in low-light or high-dynamic-range environments. Conversely, while Light Detection and Ranging (LiDAR) captures illumination-invariant geometric and intensity properties, the resulting data are typically single-channel and sparse, creating a significant modality gap […]