5,956 research outputs found
Broadband Coherent Anti-Stokes Raman Spectroscopy: A Comprehensive Approach to Analyzing Crystalline Materials
Broadband Coherent Anti-Stokes Raman scattering (B-CARS) is an advanced Raman spectroscopy technique used to investigate the vibrational properties of materials. B-CARS combines the spectral sensitivity of spontaneous Raman scattering with the enhanced signal intensity of coherent Raman techniques. While B-CARS has been successfully applied in biomedicine for ultra-fast imaging of biological tissue, its potential in solid-state physics remains largely unexplored. This work delves into the challenges and adaptations necessary to apply B-CARS to crystalline materials and shows its potential as a powerful tool for high-speed, hyperspectral investigations.
The theoretical part of this work covers inelastic light-matter scattering fundamentals and the signal generation process of B-CARS, with special attention given to the so-called Non-Resonant Background (NRB). This sample-unspecific signal amplifies the B-CARS intensity but also distorts the shape and position of the measured spectral peaks.
A reliable NRB correction becomes crucial to retrieve precise spectral parameters containing information on the investigated material's crystallographic structure, defect density, and stress distribution.
The first results chapter presents a practical guideline for an optimized workflow of sample preparation, measurement procedure, and data analysis. The influences of sample surfaces, focus positioning, and polarization sensitivity are discussed. The successful NRB removal is achieved by adapting an algorithm initially designed for biomedical purposes.
The second chapter involves a transnational Round Robin investigating the same set of materials using different experimental setups. The influences of laser source, detection range, and transmission vs. epi detection are explored to optimize the experimental parameters.
This work showcases applications such as high-speed, hyperspectral imaging of ferroelectric domain walls in LiNbO3, demonstrating the potential of B-CARS in the cutting-edge field of domain wall engineering.
Additionally, imaging and polarization-sensitive measurements are shown for MoO3 flakes, paving the way for B-CARS investigations of 2D materials.
The final chapter presents advanced techniques, such as Three-Color CARS and Time-Delay CARS, applied to crystalline materials. Three-Color CARS is especially promising, as it enhances the signal intensity for low-frequency Raman modes, which are particularly interesting for solid-state physics compared to the usual large-shift modes investigated in biomedical research. Meanwhile, Time-Delay CARS is sensitive to relaxation processes of vibrational and NRB states, enabling experimental NRB removal and lifetime measurements. Additionally, a neural network-based NRB removal method is presented, eliminating the need for a prior NRB spectrum and offering rapid computation.
In summary, this work demonstrates the successful implementation of B-CARS for crystalline materials and provides a comprehensive guideline for the optimal experimental setup, workflow, and data processing. The application of B-CARS for imaging bulk crystalline materials, ferroelectric domain walls, and 2D structures shows promising possibilities for future research
Precision Surface Processing and Software Modelling Using Shear-Thickening Polishing Slurries
Mid-spatial frequency surface error is a known manufacturing defect for aspherical and freeform precision surfaces. These surface ripples decrease imaging contrast and system signal-to-noise ratio. Existing sub-aperture polishing techniques are limited in their abilities to smooth mid-spatial frequency errors. Shear-thickening slurries have been hypothesised to reduce mid-spatial frequency errors on precision optical surfaces by increasing the viscosity at the tool-part interface. Currently, controlling the generation and mitigating existing mid-spatial frequency surface errors for aspherical and freeform surfaces requires extensive setup and the experience of seasoned workers. This thesis reports on the experimental trials of shear-thickening polishing slurries on glass surfaces. By incorporating shear-thickening slurries with the precessed bonnet technology, the aim is to enhance the ability of the precessions technology in mitigating mid-spatial frequency errors. The findings could facilitate a more streamlined manufacturing chain for precision optics for the versatile precessions technology from form correction and texture improvement, to MSF mitigation, without needing to rely on other polishing technologies. Such improvement on the existing bonnet polishing would provide a vital steppingstone towards building a fully autonomous manufacturing cell in a market of continual economic growth. The experiments in this thesis analysed the capabilities of two shear-thickening slurry systems: (1) polyethylene glycol with silica nanoparticle suspension, and (2) water and cornstarch suspension. Both slurry systems demonstrated the ability at mitigating existing surface ripples. Looking at power spectral density graphs, polyethylene glycol slurries reduced the power of the mid-spatial frequencies by ~50% and cornstarch suspension slurries by 60-90%. Experiments of a novel polishing approach are also reported in this thesis to rotate a precessed bonnet at a predetermined working distance above the workpiece surface. The rapidly rotating tool draws in the shear-thickening slurry through the gap to stiffen the fluid for polishing. This technique demonstrated material removal capabilities using cornstarch suspension slurries at a working distance of 1.0-1.5mm. The volumetric removal rate from this process is ~5% of that of contact bonnet polishing, so this aligns more as a finishing process. This polishing technique was given the term rheological bonnet finishing. The rheological properties of cornstarch suspension slurries were tested using a rheometer and modelled through CFD simulation. Using the empirical rheological data, polishing simulations of the rheological bonnet finishing process were modelled in Ansys to analyse the effects of various input parameters such as working distance, tool headspeed, precess angle, and slurry viscosity
Integrated Optical Fiber Sensor for Simultaneous Monitoring of Temperature, Vibration, and Strain in High Temperature Environment
Important high-temperature parts of an aero-engine, especially the power-related fuel system and rotor system, are directly related to the reliability and service life of the engine. The working environment of these parts is extremely harsh, usually overloaded with high temperature, vibration and strain which are the main factors leading to their failure. Therefore, the simultaneous measurement of high temperature, vibration, and strain is essential to monitor and ensure the safe operation of an aero-engine.
In my thesis work, I have focused on the research and development of two new sensors for fuel and rotor systems of an aero-engine that need to withstand the same high temperature condition, typically at 900 °C or above, but with different requirements for vibration and strain measurement.
Firstly, to meet the demand for high temperature operation, high vibration sensitivity, and high strain resolution in fuel systems, an integrated sensor based on two fiber Bragg gratings in series (Bi-FBG sensor) to simultaneously measure temperature, strain, and vibration is proposed and demonstrated. In this sensor, an L-shaped cantilever is introduced to improve the vibration sensitivity. By converting its free end displacement into a stress effect on the FBG, the sensitivity of the L-shaped cantilever is improved by about 400% compared with that of straight cantilevers. To compensate for the strain sensitivity of FBGs, a spring-beam strain sensitization structure is designed and the sensitivity is increased to 5.44 pm/ΌΔ by concentrating strain deformation. A novel decoupling method âSteps Decoupling and Temperature Compensation (SDTC)â is proposed to address the interference between temperature, vibration, and strain. A model of sensing characteristics and interference of different parameters is established to achieve accurate signal decoupling. Experimental tests have been performed and demonstrated the good performance of the sensor.
Secondly, a sensor based on cascaded three fiber Fabry-PĂ©rot interferometers in series (Tri-FFPI sensor) for multiparameter measurement is designed and demonstrated for engine rotor systems that require higher vibration frequencies and greater strain measurement requirements. In this sensor, the cascaded-FFPI structure is introduced to ensure high temperature and large strain simultaneous measurement. An FFPI with a cantilever for high vibration frequency measurement is designed with a miniaturized size and its geometric parameters optimization model is established to investigate the influencing factors of sensing characteristics. A cascaded-FFPI preparation method with chemical etching and offset fusion is proposed to maintain the flatness and high reflectivity of FFPIsâ surface, which contributes to the improvement of measurement accuracy. A new high-precision cavity length demodulation method is developed based on vector matching and clustering-competition particle swarm optimization (CCPSO) to improve the demodulation accuracy of cascaded-FFPI cavity lengths. By investigating the correlation relationship between the cascaded-FFPI spectral and multidimensional space, the cavity length demodulation is transformed into a search for the highest correlation value in space, solving the problem that the cavity length demodulation accuracy is limited by the resolution of spectral wavelengths. Different clustering and competition characteristics are designed in CCPSO to reduce the demodulation error by 87.2% compared with the commonly used particle swarm optimization method. Good performance and multiparameter decoupling have been successfully demonstrated in experimental tests
Beam scanning by liquid-crystal biasing in a modified SIW structure
A fixed-frequency beam-scanning 1D antenna based on Liquid Crystals (LCs) is designed for application in 2D scanning with lateral alignment. The 2D array environment imposes full decoupling of adjacent 1D antennas, which often conflicts with the LC requirement of DC biasing: the proposed design accommodates both. The LC medium is placed inside a Substrate Integrated Waveguide (SIW) modified to work as a Groove Gap Waveguide, with radiating slots etched on the upper broad wall, that radiates as a Leaky-Wave Antenna (LWA). This allows effective application of the DC bias voltage needed for tuning the LCs. At the same time, the RF field remains laterally confined, enabling the possibility to lay several antennas in parallel and achieve 2D beam scanning. The design is validated by simulation employing the actual properties of a commercial LC medium
Synthetic Aperture Radar (SAR) Meets Deep Learning
This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports
Observation of Josephson Harmonics in Tunnel Junctions
Superconducting quantum processors have a long road ahead to reach
fault-tolerant quantum computing. One of the most daunting challenges is taming
the numerous microscopic degrees of freedom ubiquitous in solid-state devices.
State-of-the-art technologies, including the world's largest quantum
processors, employ aluminum oxide (AlO) tunnel Josephson junctions (JJs) as
sources of nonlinearity, assuming an idealized pure current-phase
relation (CR). However, this celebrated CR is
only expected to occur in the limit of vanishingly low-transparency channels in
the AlO barrier. Here we show that the standard CR fails to
accurately describe the energy spectra of transmon artificial atoms across
various samples and laboratories. Instead, a mesoscopic model of tunneling
through an inhomogeneous AlO barrier predicts %-level contributions from
higher Josephson harmonics. By including these in the transmon Hamiltonian, we
obtain orders of magnitude better agreement between the computed and measured
energy spectra. The reality of Josephson harmonics transforms qubit design and
prompts a reevaluation of models for quantum gates and readout, parametric
amplification and mixing, Floquet qubits, protected Josephson qubits, etc. As
an example, we show that engineered Josephson harmonics can reduce the charge
dispersion and the associated errors in transmon qubits by an order of
magnitude, while preserving anharmonicity
Development of Small-Angle X-Ray Scattering on a Nanometer and Femtosecond Scale for the Investigation of Laser-Driven Matter
Laser-Plasma-Beschleunigung mittels ultraintensiver Laserstrahlung ist eine vielversprechende Technologie fĂŒr die Entwicklung kompakter Strahlungsquellen. Diese werden in einem breiten Spektrum technischer AnwendungsfĂ€lle genutzt, zum Beispiel zur Krebstherapie, in der Laborastrophysik und fĂŒr die TrĂ€gheitsfusion, weshalb viele interdisziplinĂ€ren Forschungsfelder ein groĂes Interesse an ihrer Entwicklung haben.
Die ersten Machbarkeitsstudien zur Nutzung gepulster Protonenstrahlung zur Tumorbehandlung haben bereits erfreuliche Ergebnisse geliefert. Dennoch lagen die erzielten Parameter des Protonenstrahls weit unter den erwarteten Werten. Die bekannten Faktoren, die diese Performance einschrĂ€nken, wurden fast ausschlieĂlich durch Simulationen identifiziert. Der experimentelle Zugang zur Laser-Plasma-Wechselwirkung ist bisher auf die Auswertung der resultierenden Strahlung und auf makroskopische OberflĂ€cheneffekte beschrĂ€nkt, die mit optischen Messtechniken untersucht werden können. Diese Diagnostiken liefern allerdings keinerlei Informationen ĂŒber die VorgĂ€nge im Inneren des Plasmas, die letztlich die Parameter der beschleunigten Protonen bestimmen. Diese Prozesse werden in ihrer GröĂe und Zeitskala durch die Plasmaoszillation bzw. deren Frequenz und WellenlĂ€nge bestimmt. Das Ziel dieses Forschungsprojekts war es, diese LĂŒcke in der Auflösung bestehender Messmethoden zu schlieĂen und eine Diagnostik zu entwickeln, die in der Lage ist, nanoskopische Plasma-PhĂ€nomene im Inneren der lasergetriebenen Probe zu untersuchen. Dieses Ziel konnten wir durch die EinfĂŒhrung von Röntgenkleinwinkelstreuung (SAXS) in Laserexperimenten an Röntgen-Freie-Elektronen-Lasern (XFELs) erreichen.
In dieser Arbeit erlĂ€utere ich das technische Design und die methodische Auswertung des ersten dedizierten SAXS Experiments, das an der Matter in Extreme Conditions Messstation (auch MEC, Materie unter extremen Bedingungen) der Linac Coherent Light Source (auch LCLS, Linearbeschleuniger als kohĂ€rente Lichtquelle) durchgefĂŒhrt wurde. Dieses Experiment war vorrangig eine Machbarkeitsstudie, die als Basis fĂŒr die weitere Verwendung von SAXS in Laserexperimenten dienen soll. Meine Arbeit wird ausfĂŒhrlich die dafĂŒr nötigen experimentellen Techniken, den Aufbau, die Reinigung des gemessenen Beugungsbilds, das Probendesign und den Auswerteprozess erlĂ€utern.
Um die experimentelle DurchfĂŒhrbarkeit dieser Methode zu testen, nutzten wir SAXS, um die Ausbreitung einer nanostrukturierten Probe in der Zeit kurz vor und wĂ€hrend des Beginns des Laserpulses zu messen. Der Ausbreitungsparameter, den wir so aus den experimentellen Daten gewinnen konnten, liegt im einstelligen Nanometer- und teilweise im Subnanometer-Bereich und stimmte gut mit den Ergebnissen einer Particle In Cell (PIC) Simulation zur frĂŒhen Ausbreitungsphase ĂŒberein. Dies zeigt, dass SAXS in der Lage ist, Plasma Prozesse zu messen, die fĂŒr andere Diagnostiken bisher nicht zugĂ€nglich waren.
AuĂerdem beobachteten wir eine Abweichung der experimentellen Daten von dem von uns entwickelten Modell zur Beschreibung der ungehinderten Ausbreitung des Plasmas ins Vakuum. Dies veranlasste uns zu einer genaueren Untersuchung der Ausbreitung mittels PIC Simulation und tatsĂ€chlich sahen wir darin die Bildung von Plasma-Strömen, die auch in der SAXS-Auswertung qualitativ bestĂ€tigt werden konnten. Die KomplexitĂ€t des Ausbreitungsprozesses, die wir in diesem Forschungsprojekt aufdecken konnten, zeigt, dass weitere Studien dazu durchgefĂŒhrt werden sollten. Wenn wir die Ergebnisse der hier prĂ€sentierten SAXS Modelle nutzen, um unser VerstĂ€ndnis des Effekts von Vorpulsen und IntensitĂ€ts-Plateaus auf die Protonenbeschleunigung mit nanostrukturierten Proben zu verbessern, werden wir zukĂŒnftig in der Lage sein, die damit erzielten Strahlparameter zu verbessern.
Der entwickelte SAXS Aufbau wurde auch an die Gegebenheiten von Experimenten zur Schockwellenverdichtung mittels Hochenergielasern angepasst und angewendet. Es gibt groĂes wissenschaftliches Interesse an der Entmischung von Kohlenwasserstoffen im Zustand warmer dichter Materie (WDM). Viele Laborastrophysikexperimente untersuchen das Innere von Eisriesen wie Uranus und Neptun, insbesondere den Verlauf der Phasentrennung von leichten Elementen wie Kohlenstoff und Wasserstoff, die zu Diamantregen fĂŒhrt.
Bisher war es bei diesen Messungen nicht möglich, nanoskopische DichteĂ€nderungen im Inneren einer dichten Probe unter extremen Bedingungen zu untersuchen. Im Rahmen dieser Forschungsarbeit wurde SAXS als ergĂ€nzende Diagnostik in Hochenergiedichte-Experimenten mit Lasern an Einrichtungen wie an der MEC Messstation und an anderen XFELs etabliert. Ich wendete bekannte SAXS Auswerteroutinen auf den besonderen Fall eines sich von Schuss zu Schuss Ă€ndernden Dichtekontrasts an. Die verschiedenen Komponenten der SAXS Daten wurden mit den Informationen korreliert, die aus anderen Diagnostiken wie Beugung und VISAR gewonnen wurden. So konnte ich durch die Auswertung der Nanodiamant-Komponente eine SchĂ€tzung der DiamantgröĂe und des Diamant-Volumenanteils ableiten, indem ich spezifische Modelle fittete, die auf hydrodynamischen Simulationen basieren.
ZukĂŒnftig möchten wir diese experimentellen Grundlagen auch auf die Untersuchung von FlĂŒssig-FlĂŒssig-Entmischung leichter Elemente im WDM Zustand anwenden. In dieser Arbeit erlĂ€utere ich die von mir entwickelten Auswerteprozesse, die auf weitere Messungen angewendet werden können, sobald deren Messbereich und SensitivitĂ€t so verbessert wurde, dass die Parameter von Interesse bestimmbar sind.
Dieses Projekt half dabei, SAXS als Standarddiagnostik in Forschungseinrichtungen zu etablieren, die XFELs mit Hochleistungslaserexperimenten verbinden. Es bereitet sowohl die technische als auch die methodische Grundlage fĂŒr weitere Experimente.Laser plasma acceleration with ultra-high intensity (UHI) lasers is a promising technology for building compact radiation sources. These hold immense potential for a wide array of applications including cancer therapy, laboratory astrophysics and inertial confinement fusion and there is great interest in their development in many interdisciplinary fields of research.
But while proof of concept experiments using proton pulses for tumor irradiation have delivered encouraging results, the achieved proton beam parameters fell short of the originally expected values. The limiting factors to this performance have mostly been identified in simulation only. Experimental access to the interaction between the drive laser and the dense plasma is so far limited to the analysis of the emitted radiation and the macroscopic surface effects that can be probed by visible light. These diagnostics cannot provide information about the processes in the bulk of the plasma that eventually determine the properties of the accelerated particles. Their spatial and temporal domain is dominated by the plasma oscillation frequency and wavelength. The aim of this project was to bridge this resolution gap with a diagnostic that is capable of investigating nanoscopic plasma features in the bulk of a laser-driven sample on a femtosecond scale. This was achieved by establishing the use of Small Angle X-Ray Scattering (SAXS) at UHI laser experiments at X-Ray Free Electron Lasers.
My thesis will outline the technical design and scientific analysis of the first dedicated SAXS experiment at the Matter in Extreme Conditions (MEC) instrument of the Linac Coherent Light Source. The primary goal of the experiment was proof of concept as a foundation for regular use of SAXS in UHI experiments in the future. I will discuss the experimental procedures, the setup, the cleaning of the diffraction pattern, the target design and the analysis process that were developed for this new diagnostic in detail.
To test the feasibility of this method, we used SAXS to measure the expansion of a nanostructured target in the femtosecond time span before and around the onset of a low intensity drive laser pulse. The expansion parameter that was extracted from the experimental data is in the in the sub- to single nanometer range and was in good agreement with the results of a particle-in-cell (PIC) simulation describing the early expansion phase. This demonstrates that SAXS is capable of measuring plasma processes on scales that were previously unobtainable by other diagnostics.
We also identified a deviation of the experimental data from the simple model that we developed to describe an unobstructed expansion of plasma into vacuum. This lead us to examine the expansion in more detail via PIC simulation and indeed we discovered the formation of plasma jets at a later phase of the plasma expansion in simulation for a grating target. This additional effect was confirmed qualitatively by the SAXS analysis. The complexity of the plasma expansion process for a structured target we found in this project demonstrates the need for further studies. If we use the SAXS models presented here to improve our understanding of the effect of prepulses and pedestals on proton acceleration using nanostructured targets, we can apply this knowledge to the improvement of the proton beam parameters in future developments. %Additionally the technical implementation of SAXS for UHI laser experiments was developed in the framework of this thesis and established as a useful tool for the investigation of other nanoscopic plasma features.
The developed experimental setup for SAXS was also adapted and applied to laser shock compression experiments using high energy drive lasers. There is great research interest in the demixing of hydrocarbons in the Warm Dense Matter (WDM) state. Many laboratory astrophysics experiments investigate the internal structure of ice giants like Uranus and Neptune, specifically the dynamics of the phase separation of light elements like carbon and hydrogen which can result in diamond rain. So far these measurements lacked a diagnostic that is capable of probing nanoscopic density modulations in the bulk of a dense target in an extreme state of matter. SAXS allowed us to gain access to the parameters of the demixing process. In the framework of this project SAXS was established as a complementary diagnostic to the standard setup for high energy density laser experiments at the MEC instrument and at other XFELs.
I applied existing SAXS analysis procedures to the special case of a density contrast that changes on every shot. The different components of the SAXS data were correlated to information from other standard diagnostics including diffraction and VISAR. I was able to quantitatively analyze the component caused by nanodiamonds and retrieved an estimate of the diamond size and volume fraction from fits to custom models that are based on hydrodynamic simulations.
In the future, we would like to extend this experimental basis to the investigation of liquid-liquid demixing of light elements in the WDM state. In this thesis I will discuss the SAXS analysis procedures that I dweveloped so that they can be applied to future measurements, once the experimental range and sensitivity has been improved to retrieve the parameters of interest.
This project helped to establish SAXS as a standard diagnostic at facilities combining XFELs with high power laser experiments. It is supposed to lay both the technical and methodical groundwork for further experiments
Copernicus Cal/Val Solution - D3.2 - Recommendations for R&D on Cal/Val Methods
This document presents a gap analysis of the methods used in the calibration and validation of Earth Observation satellites relevant to the Copernicus programme and suggests recommendations for the research and developments required to fulfil this gap when/where
possible.
The document identifies the gaps and limitations of the CalVal methods, used for calibration and validation (CalVal) activities for the current Copernicus missions. It will also address the development needs for future Copernicus missions. Four types of missions are covered based on the division used in the rest of the CCVS project: optical, altimetry, radar and microwave and atmospheric composition.
Finally, it will give a prioritized list of recommendations for R&D activities on the CalVal methods.
The information included is mainly collected from the deliverables of work packages 1 and 2 in the CCVS project and from the consortium experts in CalVal activities
Integrated Tip-Tilt Sensing for Single-Mode Fiber Coupling
This thesis presents the development and on-sky tests of the novel Microlens-Ring Tip-Tilt (MLR-TT) sensor. The sensor consists of a micro-lens ring (MLR) that is printed directly on the face of a fiber bundle with a central single-mode fiber (SMF) accepting the light almost unclipped if the beam is aligned. The edge of the beam, however, is refracted by the MLR to couple into six surrounding multi-mode fibers (MMFs). Detecting the flux in these sensor fibers allows reconstruction of the beam position, i.e. the tip and tilt aberrations of the wavefront.
The lenses are manufactured in collaboration with Karlsruhe Institute for Technology (KIT) with state-of-the-art two-proton polymerization, a novel technology that allows the fabrication of very precise and freeform lenses. The sensor is integrated with the instrumentâs fiber link and features a small physical size of 380 ”m. This novel integration of a sensor into existing components reduced opto-mechanical footprint and complexity, as well as reducing non-common path aberrations (NCPAs) to a bare minimum.
This thesis describes the various steps that were part of this development, starting with designing, optimizing, and characterizing the sensor itself, setting up a corresponding laboratory environment, and developing a control system for on-sky testing. The system is tested on-sky with iLocater fiber coupling front-end (acquisition camera) at the Large Binocular Telescope (LBT). It was found that principle reconstruction is possible but the observed accuracy is âŒ0.19 λ/D both for tip and for tilt. With this accuracy, it was not possible to improve the resulting SMF coupling efficiency. A strong correlation between sensor accuracy and the instantaneous Strehl ratio (SR), i.e. residual adaptive optics (AO) aberrations, is found. Additionally, the corresponding power spectral density (PSD) reveals that most of the reconstruction inaccuracy occurs in low temporal frequencies. This suggests that the dominating limitations of the accuracy of the MLR-TT sensor arise from residual AO aberrations and the false signal they introduce in the sensor.
These findings are discussed in detail and the future prospects of further analysis and development are outlined in the context of the most beneficial application environment
- âŠ