1,720,963 research outputs found
Atomic response in the near-field of nanostructured plasmonic metamaterial
No full textWe report on reflection spectra of cesium atoms in close vicinity of a nanostructured metallic meta-surface. We show that the hyperfine sub-Doppler spectrum of the 62S1/2 – 62P3/2 resonance transition at 852 nm is strongly affected by the coupling to the plasmonic resonance of the nanostructure. Fine tuning of dispersion and positions of the atomic lines in the near-field of plasmonic metamaterials could have uses and implications for atom-based metrology, sensing, and the development of atom-on-a-chip devices
Dataset for: Atomic Response in the Near-field of Nanostructured Plasmonic Metamaterial
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Optical metrology of sub-wavelength objects enabled by artificial intelligence
No full textMicroscopes and various forms of interferometers have been used for decades in optical metrology of objects that are typically larger than the wavelength of light λ. However, metrology of subwavelength objects was deemed impossible due to the diffraction limit. We report that measurement of the physical size of sub-wavelength objects with accuracy exceeding λ/800 by analyzing the diffraction pattern of coherent light scattered by the objects with deep learning enabled analysis. With a 633nm laser, we show that the width of sub-wavelength slits in opaque screen can be measured with accuracy of 0.77nm, challenging the accuracy of electron beam and ion beam lithographies. The technique is suitable for high-rate non-contact measurements of nanometric sizes in smart manufacturing applications with integrated metrology and processing tools
Plasmono-atomic interactions at the fiber tip
No full textPlasmono-atomic interaction affecting hyperfine structure of atomic lines can be detected at the end of optical fiber bearing metamaterial nanostructure which paves the way for a new type of ultra-compact fiberized atoms-metamaterial devices.</p
Super-resolution multipole decomposition tomographic microscopy
No full textWe demonstrate a new imaging paradigm based on multipole decomposition tomography of light scattered on the imaged object and conduct proof of principle experiments that show the accurate quantification of weaker radiation below the conventional detectable range limited by accompanying stronger radiation
Dataset to support the journal article '3D positional metrology of a virus-like nanoparticle with topologically structured light'
No full textThis dataset is supporting the publication by Yu Wang et al, (2024)
"3D positional metrology of a virus-like nanoparticle with topologically structured light" in Applied Physics Letters.
This dataset contains data supporting the figures in the article in Excel format:
Fig.2_data.xlsx
Fig.3_data.xlsx
Fig.4_data.xlsx
This work is supported by the UK Engineering and Physical Science Research Council (grants EP/T02643X/1), the Singapore National Research Foundation (grant No. NRF-CRP23-2019-0006), and the Singapore Ministry of Education (grant MOE2016-T3-1-006).</span
3D positional metrology of a virus-like nanoparticle with topologically structured light
No full textLocating and identifying viruses in in vitro optical measurements is desirable for disease control; however, the sub-diffraction-limit dimensions and low refractive index contrast of viruses make this challenging. Here, we introduce a 3D positional nanometrology for a virus-like 100 nm polystyrene sphere that can reveal the position of the nanoparticle with deeply sub-wavelength accuracy using topologically structured light illumination and machine learning. Scattering of topologically structured light is highly sensitive to the position of a nano-object. Exploiting this, our experiments demonstrate deeply sub-wavelength (λ) precision reaching 5 nm (λ/91). Our findings indicate a route toward label-free in vitro nanometrology of viruses and similar nano-objects with precision far beyond the Abbe-Rayleigh diffraction limit.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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