Measurements of neutrino oscillations using the disappearance of muon neutrinos from the Fermilab NuMI neutrino beam as observed by the two MINOS detectors are reported. New analysis methods have been applied to an enlarged data sample from an exposure of 7.25×10(20) protons on target. A fit to neutrino oscillations yields values of |Δm(2)|=(2.32(-0.08)(+0.12))×10(-3) eV(2) for the atmospheric mass splitting and sin(2)(2θ)>0.90 (90% C.L.) for the mixing angle. Pure neutrino decay and quantum decoherence hypotheses are excluded at 7 and 9 standard deviations, respectively.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevLett.106.181801DOI Listing

Publication Analysis

Top Keywords

mass splitting
8
neutrino oscillations
8
measurement neutrino
4
neutrino mass
4
splitting flavor
4
flavor mixing
4
mixing minos
4
minos measurements
4
neutrino
4
measurements neutrino
4

Similar Publications

X-ray footprinting mass spectrometry (XFMS) is a structural biology method that uses broadband X-rays for hydroxyl radical labeling to map protein interactions and conformation in solution. However, while XFMS alone provides important structural information on biomolecules, as we move into the era of the interactome, hybrid methods are becoming increasingly necessary to gain a comprehensive understanding of protein complexes and interactions. Toward this end, we report the development of the first synergetic application of inline and real-time fluorescent spectroscopy at the Advanced Light Source's XFMS facility to study local protein interactions and global conformational changes simultaneously.

View Article and Find Full Text PDF

Background: Approximately 70% of chronic obstructive pulmonary disease (COPD) is underdiagnosed worldwide. We aimed to develop and validate a COPD self-evaluation questionnaire (COPD-EQ) that is better suited for COPD screening in China.

Methods: We developed a primary version of COPD-EQ based on the Delphi method.

View Article and Find Full Text PDF

Introduction: As humanity progresses further into space, astronauts must be increasingly independent from mission control, especially in high-consequence medical scenarios. The high-utility and low-mass nature of point-of-care ultrasound (POCUS) makes this imaging modality ideal for spaceflight mission deployment. However, POCUS operator skill degrades over time, presenting an operational barrier to continuous, effective use.

View Article and Find Full Text PDF

Using Machine Learning to Predict Weight Gain in Adults: an Observational Analysis From the All of Us Research Program.

J Surg Res

December 2024

Department of Surgery, University of Wisconsin, Madison, Wisconsin; Department of Surgery, William S. Middleton Memorial VA, Madison, Wisconsin. Electronic address:

Introduction: Obesity, defined as a body mass index ≥30 kg/m, is a major public health concern in the United States. Preventative approaches are essential, but they are limited by an inability to accurately predict individuals at highest risk of weight gain. Our objective was to develop accurate weight gain prediction models using the National Institutes of Health All of Us dataset.

View Article and Find Full Text PDF

Development and thorough evaluation of a multi-omics sample preparation workflow for comprehensive LC-MS/MS-based metabolomics, lipidomics and proteomics datasets.

Talanta

December 2024

Hyphenated Mass Spectrometry Laboratory, Faculty of Science, University of Technology Sydney, PO Box 123, Broadway, 2007 NSW, Australia; School of Life Sciences, Faculty of Science, University of Technology Sydney, PO Box 123, Broadway, 2007 NSW, Australia.

The importance of sample preparation selection if often overlooked particularly for untargeted multi-omics approaches that gained popularity in recent years. To minimize issues with sample heterogeneity and additional freeze-thaw cycles during sample splitting, multiple -omics datasets (e.g.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!