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Hyperspectroscopy is a new method of surface image taking, providing simultaneously high position and spectral resolutions which allow one to make some conclusions about chemical compositions of the surfaces. We are now studying…

Instrumentation and Detectors · Physics 2016-11-18 I. Rodionov , J-M. Bidault , I. Crotty , P. Fonte , F. Galy , V. Peskov , O. Zanette

Geometry processing of 3D objects is of primary interest in many areas of computer vision and graphics, including robot navigation, 3D object recognition, classification, feature extraction, etc. The recent introduction of cheap range…

Signal Processing · Electrical Eng. & Systems 2021-11-20 Gerasimos Arvanitis

One of the well-known problems of producing instruments for Extremely Large Telescopes is that their size (and hence cost) scales rapidly with telescope aperture. To try to break this relation alternative new technologies have been…

Instrumentation and Methods for Astrophysics · Physics 2015-06-05 R. J. Harris , J. R. Allington-Smith

High-resolution imaging spectroscopy in solar physics has relied on Fabry-Perot Interferometers (FPIs) in recent years. FPI systems, however, get technically challenging and expensive for telescopes larger than the 1-m class. A conventional…

Solar and Stellar Astrophysics · Physics 2018-03-14 C. Beck , R. Rezaei , D. Prasad Choudhary , S. Gosain , A. Tritschler , R. E. Louis

Driven by the growing demand for miniaturized spectrometers for in-situ analysis, and point-of-care diagnostics, conventional spectrometers are often constrained by bulky architectures and pathlength-limited spectral resolution. Achieving…

Performant on-chip spectrometers are important for advancing sensing technologies, from environmental monitoring to biomedical diagnostics. As device footprints approach the scale of the operating wavelength, previously strategies,…

We have previously introduced Spectral Diffusion Posterior Sampling (Spectral DPS) as a framework for accurate one-step material decomposition by integrating analytic spectral system models with priors learned from large datasets. This work…

Medical Physics · Physics 2025-03-31 Xiao Jiang , Grace J. Gang , J. Webster Stayman

Adsorption processes play a fundamental role in molecular transport through nanofluidic systems, but their signatures in measured signals are often hard to distinguish from other processes like diffusion. In this paper, we derive an…

Soft Condensed Matter · Physics 2025-11-07 Anna Drummond Young , Alice L. Thorneywork , Sophie Marbach

Spectropolarimetry is a powerful technique for remote sensing of the environment. It enables the retrieval of particle shape and size distributions in air and water to an extent that traditional spectroscopy cannot. SPEX is an instrument…

Instrumentation and Detectors · Physics 2020-06-03 Olivier Burggraaff , Armand B. Perduijn , Robert F. van Hek , Norbert Schmidt , Christoph U. Keller , Frans Snik

Recently, 3D Gaussian Splatting (3DGS) provides a new framework for novel view synthesis, and has spiked a new wave of research in neural rendering and related applications. As 3DGS is becoming a foundational component of many models, any…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Jialin Zhu , Jiangbei Yue , Feixiang He , He Wang

Many spectral CT applications require accurate material decomposition. Existing material decomposition algorithms are often susceptible to significant noise magnification or, in the case of one-step model-based approaches, hampered by slow…

Medical Physics · Physics 2025-07-22 Xiao Jiang , Grace J. Gang , J. Webster Stayman

Optical spectroscopic sensors are a powerful tool to reveal light-matter interactions in many fields, such as physics, biology, chemistry, and astronomy. Miniaturizing the currently bulky spectrometers has become imperative for the wide…

We describe a new concept for a MEMS-based active spatial filter for astronomical spectroscopy. The goal of this device is to allow the use of a diffraction-limited spectrometer on a seeing limited observation at improved throughput over a…

Astrophysics · Physics 2009-11-11 A. I. Sheinis , L. Nigra , M. Q. Kuhlen

The necessity to use Photo Multipliers (PM) as light detector limited in the past the use of crystals in radiation handled device preferring the Geiger approach. The Silicon Photomultipliers (SiPMs) are very small and cheap, solid photon…

Instrumentation and Detectors · Physics 2015-06-08 Valerio Bocci , Giacomo Chiodi , Francesco Iacoangeli , Massimo Nuccetelli , Luigi Recchia

The problem Power Dominating Set (PDS) is motivated by the placement of phasor measurement units to monitor electrical networks. It asks for a minimum set of vertices in a graph that observes all remaining vertices by exhaustively applying…

Data Structures and Algorithms · Computer Science 2023-06-19 Thomas Bläsius , Max Göttlicher

Spectro-microscopy is an experimental technique which can be used to observe spatial variations in chemical state and changes in chemical state over time or under experimental conditions. As a result it has broad applications across areas…

Medical Physics · Physics 2026-02-05 Maike Meier , Lorenzo Lazzarino , Boris Shustin , Hussam Al Daas , Paul Quinn

This paper proposes a novel approach to spectral computed tomography (CT) material decomposition that uses the recent advances in generative diffusion models (DMs) for inverse problems. Spectral CT and more particularly photon-counting CT…

Molecules are emerging as new benchmark for metrology and fundamental physics research, driving the demand for spectroscopic techniques combining high sensitivity and resolution. Photoacoustic spectroscopy has proven to combine high…

One of the basic parameters of a CCD camera is its gain, i.e. the number of detected electrons per output Analogue to Digital Unit (ADU). This is normally determined by finding the statistical variances from a series of flat-field exposures…

Instrumentation and Methods for Astrophysics · Physics 2021-01-28 J. Gordon Robertson

A typical 2D-to-3D pipeline takes multi-view images as input, where a Vision Foundation Model (VFM) extracts features that are spatially upsampled to dense representations for 3D reconstruction. If dense features across views preserve…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Ling Xiao , Yuliang Xiu , Yue Chen , Guoming Wang , Toshihiko Yamasaki