Fluctuations in the cosmic microwave background (CMB) contain information which has been pivotal in establishing the current cosmological model. These data can also be used to test well-motivated additions to this model, such as cosmic textures. Textures are a type of topological defect that can be produced during a cosmological phase transition in the early Universe, and which leave characteristic hot and cold spots in the CMB. We apply bayesian methods to carry out a rigorous test of the texture hypothesis, using full-sky data from the Wilkinson Microwave Anisotropy Probe. We conclude that current data do not warrant augmenting the standard cosmological model with textures. We rule out at 95% confidence models that predict more than 6 detectable cosmic textures on the full sky.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1103/PhysRevLett.108.241301 | DOI Listing |
Arch Dermatol Res
December 2024
Scripps Health, San Diego, CA, USA.
The Artemis program and lunar gateway present an opportunity to advance NASA's presence away from Earth's orbit and back to the Moon. Astronauts will be faced with many dermatological challenges unique to the lunar environment, such as the surface material on the Moon. We used PubMed and Google Scholar to perform a literature review with articles related to the effects of lunar dust on skin collated and analyzed to assess the dermatological implications of these missions.
View Article and Find Full Text PDFRapid Commun Mass Spectrom
January 2025
Analytical, Environmental and Geo-Chemistry, Vrije Universiteit Brussel, Brussels, Belgium.
Rationale: Micrometeorites are extraterrestrial particles smaller than ~2 mm in diameter, most of which melted during atmospheric entry and crystallised or quenched to form 'cosmic spherules'. Their parentage among meteorite groups can be inferred from triple-oxygen isotope compositions, for example, by secondary ion mass spectrometry (SIMS). This method uses sample efficiently, preserving spherules for other investigations.
View Article and Find Full Text PDFExp Brain Res
August 2024
Department of Cosmic Rays and Chronology, Gleb Wataghin Physics Institute, Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil.
Several studies have aimed at identifying biomarkers in the initial phases of Alzheimer's disease (AD). Conversely, texture features, such as those from gray-level co-occurrence matrices (GLCMs), have highlighted important information from several types of medical images. More recently, texture-based brain networks have been shown to provide useful information in characterizing healthy individuals.
View Article and Find Full Text PDFSensors (Basel)
February 2024
Department of Agricultural Sciences, AFBE Division, University of Naples Federico II, 80055 Portici, Italy.
The continuous monitoring of soil water content is commonly carried out using low-frequency capacitance sensors that require a site-specific calibration to relate sensor readings to apparent dielectric bulk permittivity () and soil water content (). In fine-textured soils, the conversion of to is still challenging due to temperature effects on the bound water fraction associated with clay mineral surfaces, which is disregarded in factory calibrations. Here, a multi-point calibration approach accounts for temperature effects on two soils with medium to high clay content.
View Article and Find Full Text PDFSci Rep
September 2023
Department of Cosmic Rays and Chronology, Gleb Wataghin Physics Institute, University of Campinas - UNICAMP, R. Sérgio Buarque de Holanda, 777, Cidade Universitária Zeferino Vaz, Campinas, SP, 13083-859, Brazil.
Brain networks have been widely used to study the relationships between brain regions based on their dynamics using, e.g. fMRI or EEG, and to characterize their real physical connections using DTI.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!