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We investigate the impact of satellites, a potentially important contributor toward the cold gas assembly of a halo, on the cold gas budgets of 197 TNG50 simulated halos …

Power spectra (PS) of high-resolution images of M51 (NGC 5194) taken with the Hubble Space Telescope and the James Webb Space Telescope (JWST) have been examined for …

We present nucleosynthesis and light-curve predictions for a new site of the rapid neutron capture process (r-process) from magnetar giant flares (GFs). Motivated by observations indicating …

We conduct a systematic search for astrophysical transients using data from the Atacama Cosmology Telescope. The data were taken from 2017 to 2022 in three frequency bands spanning …

We present archival Hubble Space Telescope (HST) and JWST ultraviolet through near-infrared time series photometric observations of a massive minimal-contact binary candidate in the metal-poor …

We present the results of a search for gravitational-wave transients associated with core-collapse supernova SN 2023ixf, which was observed in the galaxy Messier 101 via optical …

We present a sample of 341 "little red dots" (LRDs) spanning the redshift range z ∼ 2–11 using data from the CEERS, PRIMER, JADES, UNCOVER, and NGDEEP surveys …

The large volume of spectroscopic data available now and from near-future surveys will enable high-dimensional measurements of stellar parameters and properties. Current methods for determining stellar …

TOI-1266 is a benchmark system of two temperate ( …

Fuzzy dark matter (FDM) is a compelling candidate for dark matter, offering a natural explanation for the structure of diffuse low-mass haloes. However, the canonical FDM model …

The Eos cloud, recently discovered in the far ultraviolet via H\(_2\) fluorescence, is one of the nearest known dark molecular clouds to the Sun, with a distance …

We conduct a parameter survey of neutron star accretion column simulations by solving the relativistic radiation MHD equations with opacities that account for strong magnetic fields and pair …

Determining the dust properties of high-redshift galaxies from their far-infrared continuum emission is challenging due to limited multi-frequency data. As a result, the dust spectral …

As the fields of stellar and exoplanetary study grow and revolutionary new detection instruments are created, it is imperative that a homogeneous, precise source of stellar parameters is …

Turbulence, magnetic fields, and radiation feedback are key components that shape the formation of stars, especially in the metal-free environments at high redshifts where Population III stars …

Dwarf galaxies have historically posed challenges to the cold dark matter (CDM) model and, while many of the so-called dwarf galaxy problems have been mitigated by incorporating …

… realization suite of the local Universe to date, offering a robust statistical foundation for future studies of galaxy formation, velocity flows, and environmental dependencies in our cosmic …

We present the eccentricity distribution of warm sub-Saturns (4–8 \(R_{\rm{\oplus }}\), 8–200 d periods) as derived from an analysis of transit light curves from …

We present Cryoscope, a new 50 deg\(^{2}\) field-of-view, 1.2 m aperture, K\(_{\rm dark}\) survey telescope to be located at Dome C, Antarctica. Cryoscope …

Primordial black holes (PBHs) in the asteroid-mass range remain a viable and, until now, unconstrained dark matter (DM) candidate. If such PBHs exist, they could be captured …

JWST observations have uncovered a new population of red, compact objects at high redshifts dubbed "little red dots" (LRDs), which typically show broad emission lines and are thought …

We conducted high-resolution wind-tunnel simulations to study in situ star formation in the stripped tails of two massive (M\(_{\rm star}\) = 10\(^{11}\) M\(_{\odot}\)) galaxies …

… line-of-nodes position angle are i = 24\(^{∘}\) and Ω = 327\(^{∘}\), respectively, with an ∼3\(^{∘}\) systematic uncertainty associated with sample selection, contamination, and the position of the …

Refractory elements such as iron, magnesium and silicon can be detected in the atmospheres of ultrahot giant planets. This provides an opportunity to quantify the amount of refractory …

The hierarchical model of galaxy formation predicts that the Milky Way halo is populated by tidal debris of dwarf galaxies and globular clusters. Due to long dynamical times …

This paper provides an error estimate for the u-series method of the Coulomb interaction in molecular dynamics simulations. We show that the number of truncated Gaussians M …

This article shows that it is, in principle, possible to make a dielectric rod completely invisible to an incident electromagnetic plane wave of a given frequency. Students can …

We present a density matrix-based time dependent projection operator formalism to calculate the beyond mean-field dynamics of systems with non-Markovian local baths and one-to …

The Lottery Ticket Hypothesis (LTH) posits that within overparametrized neural networks, there exist sparse subnetworks that are capable of matching the performance of the original model when trained …

We present an automatic, high-order accurate, and adaptive Brillouin zone integration algorithm for the calculation of the optical conductivity with a non-zero but small broadening factor …

Tumor-initiating cells (TICs) share features and regulatory pathways with normal stem cells, yet how the stem cell niche contributes to tumorigenesis remains unclear. Here, we identify CXCR4 …

Is it feasible to alter the ground state properties of a material by engineering its electromagnetic environment? Inspired by theoretical predictions, experimental realizations of such cavity-controlled properties …

Electron-electron interactions are a key determinant of the electrical and optical response properties in solid-state materials. Yet, the many-electron problem is outstandingly difficult, and can …

Suspensions of swimming particles exhibit complex collective behaviors driven by hydrodynamic interactions, showing persistent large-scale flows and long-range correlations. While heavily studied, it remains unclear how …

Suspensions of swimming particles exhibit complex collective behaviors driven by hydrodynamic interactions, showing persistent large-scale flows and long-range correlations. While heavily studied, it remains unclear how …

We present a new implementation of the driven similarity renormalization group (DSRG) based on a density matrix renormalization group (DMRG) reference. The explicit build of high-order reduced …

Time-resolved single-cell omics data offers high-throughput, genome-wide measurements of cellular states, which are instrumental to reverse-engineer the processes underpinning cell fate. Such technologies …

We examine theoretically the flow interactions and forward flight dynamics of tandem or in-line flapping wings. Two wings are driven vertically with prescribed heaving-and-plunging motions …

Image representations (artificial or biological) are often compared in terms of their global geometric structure; however, representations with similar global structure can have strikingly different local geometries. Here …

… presents a promising strategy for accelerated solving of steady-state PDEs using neural operators, ensuring high accuracy in applications where precision is of utmost importance.

Materials where flattened electronic dispersions arise from destructive phase interference, rather than localized orbitals, have emerged as promising platforms for studying emergent quantum phenomena. Crucial next steps involve …

In quantum mechanics, empty space is not void but is characterized by vacuum-field fluctuations, which underlie phenomena such as the Lamb shift1, spontaneous emission, and the Casimir …

Fast Ewald summation is the most widely used approach for computing long-range Coulomb interactions in molecular dynamics (MD) simulations. While the asymptotic scaling is nearly optimal, its …

We identify stellar tidal debris from the \(\omega\) Centauri (\(\omega\) Cen) system among field stars in the APOGEE survey via chemical tagging using a neural network trained on …