Results 91 to 100 of about 120,003 (344)
Forward Modeling of Galaxy Populations for Cosmological Redshift Distribution Inference
We present a forward-modeling framework for estimating galaxy redshift distributions from photometric surveys. Our forward model is composed of: a detailed population model describing the intrinsic distribution of the physical characteristics of galaxies,
Justin Alsing +4 more
doaj +1 more source
Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS [PDF]
Viraj Pandya +55 more
openalex +1 more source
This work presents scalable silver nanorings with tunable thermoplasmonic properties for smart window applications. By responding to sunlight and environmental changes, the nanorings modulate near‐infrared light and reduce heat transmission. Their unique geometry enables dynamic optical control, offering a promising route toward energy‐efficient ...
Xavier Baami González +1 more
wiley +1 more source
Three‐dimensional Antimony Sulfide Based Flat Optics
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang +18 more
wiley +1 more source
Cosmology constraints serve as a crucial criterion in discriminating cosmological models. The traditional combined method to constrain the cosmological parameters designates the corresponding theoretical value and observational data as functions of ...
Wei Hong +4 more
doaj +1 more source
Photometric redshift estimation via deep learning [PDF]
The need to analyze the available large synoptic multi-band surveys drives the development of new data-analysis methods. Photometric redshift estimation is one field of application where such new methods improved the results, substantially.
Antonio D'Isanto, K. Polsterer
semanticscholar +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
The mass–concentration–redshift relation of cold and warm dark matter haloes [PDF]
We use a suite of cosmological simulations to study the mass–concentration–redshift relation, c(M, z), of dark matter haloes. Our simulations include standard Λ-cold dark matter (CDM) models, and additional runs with truncated power spectra, consistent ...
A. Ludlow +7 more
semanticscholar +1 more source
Purcell‐Enhanced Spectrally Precise Emission in Dual‐Microcavity Organic Light‐Emitting Diodes
Spectrally precise emission from broadband organic light‐emitting diodes is realized via a dual‐microcavity strategy. This architecture achieves narrowband emission (full width at half maximum, FWHM = 21 nm) with ultrapure color approaching BT.2020 by enhancing the Purcell effect via coupling of excitons with dual‐microcavity resonance.
Jun Yong Kim +3 more
wiley +1 more source
The MUSE Hubble Ultra Deep Field Survey: II. Spectroscopic redshifts and comparisons to color selections of high-redshift galaxies [PDF]
We have conducted a two-layered spectroscopic survey (1′ × 1′ ultra deep and 3′ × 3′ deep regions) in the Hubble Ultra Deep Field (HUDF) with the Multi Unit Spectroscopic Explorer (MUSE).
H. Inami +30 more
semanticscholar +1 more source

