English
Related papers

Related papers: A model combining spectrum standardization and dom…

200 papers

In this article, we derive analytically the complex optical spectrum of a pulsed laser source obtained when a frequency comb generated by phase modulation is input into a synchronized intensity modulator. We then show how this knowledge of…

Optics · Physics 2021-04-19 Denis Marion , Jérôme Lhermite

In quantum logic spectroscopy (QLS), one species of trapped ion is used as a sensor to detect the state of an otherwise inaccessible ion species. This extends precision measurements to a broader class of atomic and molecular systems for…

Atomic Physics · Physics 2022-11-16 Kaifeng Cui , Jose Valencia , Kevin T. Boyce , David R. Leibrandt , David B. Hume

Local climate zone (LCZ) classification is of great value for understanding the complex interactions between urban development and local climate. Recent studies have increasingly focused on the fusion of synthetic aperture radar (SAR) and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-25 Haiyan Lan , Shujun Li , Mingjie Xie , Xuanjia Zhao , Hongning Liu , Pengming Feng , Dongli Xu , Guangjun He , Jian Guan

Dual-comb spectroscopy has been proven a powerful tool in molecular characterization, which remains challenging to implement in the mid-infrared region due to difficulties in the realization of two mutually locked comb sources and efficient…

Compared to single-source imaging systems, dual-source imaging systems equipped with two cross-distributed scanning beams significantly enhance temporal resolution and capture more comprehensive object scanning information. Nevertheless,…

Medical Physics · Physics 2025-03-19 Jianing Sun , Jigang Duan , Guangyin Li , Xu Jiang , Xing Zhao

We develop two algorithms, based on maximum likelihood (ML) inference, for estimating the parameters of polarized radio sources which emit at a single rotation measure (RM), e.g., pulsars. These algorithms incorporate the flux density…

Instrumentation and Methods for Astrophysics · Physics 2017-10-25 D. H. F. M. Schnitzeler , K. J. Lee

Partial Least Squares (PLS) methods have been heavily exploited to analyse the association between two blocs of data. These powerful approaches can be applied to data sets where the number of variables is greater than the number of…

Machine Learning · Statistics 2017-02-24 Pierre Lafaye de Micheaux , Benoit Liquet , Matthew Sutton

In this stu dy, two dimensional ( 2D correlation analysis wa s utilized for achieving a significant improvement in the signal to noise (S/N) ratio of laser induced breakdown spectroscopy (LIBS) data . Time resolved LIBS spectra of metallic,…

Atomic Physics · Physics 2022-02-07 Linga Murthy Narlagiri , S. Venugopal Rao

The unceasing demand for continuous situational awareness calls for innovative and large-scale signal processing algorithms, complemented by collaborative and adaptive sensing platforms to accomplish the objectives of layered sensing and…

Methodology · Statistics 2015-05-20 Juan A. Bazerque , Gonzalo Mateos , Georgios B. Giannakis

Objective: Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it is challenging to accurately quantify metabolites with proton MRS due to serious overlaps of metabolite signals, imperfections…

Cosmic shear tomography has emerged as one of the most promising tools to both investigate the nature of dark energy and discriminate between General Relativity and modified gravity theories. In order to successfully achieve these goals,…

Cosmology and Nongalactic Astrophysics · Physics 2014-03-05 V. F. Cardone , M. Martinelli , E. Calabrese , S. Galli , Z. Huang , R. Maoli , A. Melchiorri , R. Scaramella

Coherent anti-Stokes Raman Spectroscopy (CARS) is a laser-based measurement technique widely applied across many science and engineering disciplines to perform non-intrusive gas diagnostics. CARS is often used to study combustion, where the…

Machine Learning · Computer Science 2022-05-25 Gregory J. Hunt , Cody R. Ground , Andrew D. Cutler

We present new methods to minimize the systematic and random errors for measuring the transmission power spectrum from the Lyman-alpha forest. Sources of systematic errors explored include metal line contamination and continuum-fitting. We…

Astrophysics · Physics 2009-10-31 Lam Hui , Scott Burles , Uros Seljak , Robert E. Rutledge , Eugene Magnier , David Tytler

Powder materials utilized in additive technologies were quantitatively analyzed by laser induced breakdown spectroscopy for the first time. Laser induced breakdown spectroscopy mapping of loose metal powder attached to the double-sided…

In this paper, we propose a linear polarization coding scheme (LPC) combined with the phase conjugated twin signals (PCTS) technique, referred to as LPC-PCTS, for fiber nonlinearity mitigation in coherent optical orthogonal frequency…

Signal Processing · Electrical Eng. & Systems 2021-06-29 O. S. Sunish Kumar , O. A. Dobre , R. Venkatesan , S. K. Wilson , O. Omomukuyo , A. Amari , D. Chang

Absolute cross sections for the K-shell photoionization of ground-state Li-like carbon [C$^{3+}$(1s$^2$2s $^2$S)] ions were measured by employing the ion-photon merged-beams technique at the Advanced Light Source. The energy ranges…

We propose an empirical method for identifying low damped modes and corresponding mode shapes using frequency measurements from a Wide Area Monitoring System. The method consists of two main steps: Firstly, Complex Principal Component…

Signal Processing · Electrical Eng. & Systems 2021-02-02 Hallvar Haugdal , Kjetil Uhlen

Broadband precision spectroscopy is indispensable for providing high fidelity molecular parameters for spectroscopic databases. We have recently shown that mechanical Fourier transform spectrometers based on optical frequency combs can…

Instrumentation and Detectors · Physics 2018-05-09 Lucile Rutkowski , Piotr Maslowski , Alexandra C. Johansson , Amir Khodabakhsh , Aleksandra Foltynowicz

The resolution and calibration of pure spectra of minority components in measurements of chemical mixtures without prior knowledge of the mixture is a challenging problem. In this work, a combination of band target entropy minimization…

Machine Learning · Statistics 2019-08-13 Casey Kneale , Steven D. Brown