3,066 research outputs found
Flood dynamics derived from video remote sensing
Flooding is by far the most pervasive natural hazard, with the human impacts of floods expected to worsen in the coming decades due to climate change. Hydraulic models are a key tool for understanding flood dynamics and play a pivotal role in unravelling the processes that occur during a flood event, including inundation flow patterns and velocities. In the realm of river basin dynamics, video remote sensing is emerging as a transformative tool that can offer insights into flow dynamics and thus, together with other remotely sensed data, has the potential to be deployed to estimate discharge. Moreover, the integration of video remote sensing data with hydraulic models offers a pivotal opportunity to enhance the predictive capacity of these models.
Hydraulic models are traditionally built with accurate terrain, flow and bathymetric data and are often calibrated and validated using observed data to obtain meaningful and actionable model predictions. Data for accurately calibrating and validating hydraulic models are not always available, leaving the assessment of the predictive capabilities of some models deployed in flood risk management in question. Recent advances in remote sensing have heralded the availability of vast video datasets of high resolution. The parallel evolution of computing capabilities, coupled with advancements in artificial intelligence are enabling the processing of data at unprecedented scales and complexities, allowing us to glean meaningful insights into datasets that can be integrated with hydraulic models. The aims of the research presented in this thesis were twofold. The first aim was to evaluate and explore the potential applications of video from air- and space-borne platforms to comprehensively calibrate and validate two-dimensional hydraulic models. The second aim was to estimate river discharge using satellite video combined with high resolution topographic data. In the first of three empirical chapters, non-intrusive image velocimetry techniques were employed to estimate river surface velocities in a rural catchment. For the first time, a 2D hydraulicvmodel was fully calibrated and validated using velocities derived from Unpiloted Aerial Vehicle (UAV) image velocimetry approaches. This highlighted the value of these data in mitigating the limitations associated with traditional data sources used in parameterizing two-dimensional hydraulic models. This finding inspired the subsequent chapter where river surface velocities, derived using Large Scale Particle Image Velocimetry (LSPIV), and flood extents, derived using deep neural network-based segmentation, were extracted from satellite video and used to rigorously assess the skill of a two-dimensional hydraulic model. Harnessing the ability of deep neural networks to learn complex features and deliver accurate and contextually informed flood segmentation, the potential value of satellite video for validating two dimensional hydraulic model simulations is exhibited. In the final empirical chapter, the convergence of satellite video imagery and high-resolution topographical data bridges the gap between visual observations and quantitative measurements by enabling the direct extraction of velocities from video imagery, which is used to estimate river discharge. Overall, this thesis demonstrates the significant potential of emerging video-based remote sensing datasets and offers approaches for integrating these data into hydraulic modelling and discharge estimation practice. The incorporation of LSPIV techniques into flood modelling workflows signifies a methodological progression, especially in areas lacking robust data collection infrastructure. Satellite video remote sensing heralds a major step forward in our ability to observe river dynamics in real time, with potentially significant implications in the domain of flood modelling science
The Genetic and Neuronal Substrates of Melatonin Signaling in Zebrafish Sleep
Sleep is hypothesized to be regulated by two processes: a circadian drive, which communicates time of day to ensure that sleep is timed to the appropriate day/night phase, and a homeostatic drive, by which the propensity for sleep becomes stronger over the course of prolonged wakefulness. While studies suggest that adenosine and serotonin signaling in part mediate the homeostatic sleep drive, factors that act downstream of the circadian clock to promote sleep were unidentified until recently. Previous work in the Prober lab has shown that the nocturnal hormone melatonin acts downstream of the circadian rhythm to promote sleep in zebrafish. The downstream processes by which melatonin promotes sleep is poorly understood across all animal models. This is likely because melatonin research has been primarily conducted using nocturnal laboratory rodent models, in whom melatonin does not seem to play a role in sleep, and because of the widely held view that melatonin informs the circadian clock and does not promote sleep directly. In Chapter 1 of this thesis, I review some of the research conducted over the last 50 years that has informed our current understanding of melatonin and its role in sleep. In Chapter 2, I describe our efforts to use the zebrafish, in which melatonin is both potently sedating and essential for nightly sleep, to uncover some of the mechanisms by which melatonin might promote sleep. We found that melatonin acts through a particular melatonin receptor family called MT1, whereas melatonin receptors belonging to other families were dispensable for sleep. We show that MT1 receptors are expressed broadly throughout the zebrafish brain and are enriched in brain regions involved in sensory processing, particularly in those related to vision. We tested the hypothesis that melatonin promotes sleep, at least in part, by dampening visual responsiveness at night. We show that, separable from sleep, exogenous melatonin suppresses behavioral responses to light stimuli, and loss of endogenous melatonin results in day-like behavioral responses to light stimuli during the night. We are using whole brain imaging in live zebrafish to corroborate our behavioral results with neuronal GCaMP recordings. We hope that the findings presented here contribute to a greater understanding of melatoninâs role in sleep, which may help enhance its value as a natural therapeutic aid
The development of liquid crystal lasers for application in fluorescence microscopy
Lasers can be found in many areas of optical medical imaging and their properties have enabled the rapid advancement of many imaging techniques and modalities. Their narrow linewidth, relative brightness and coherence are advantageous in obtaining high quality images of biological samples. This is particularly beneficial in fluorescence microscopy. However, commercial imaging systems depend on the combination of multiple independent laser sources or use tuneable sources, both of which are expensive and have large footprints. This thesis demonstrates the use of liquid crystal (LC) laser technology, a compact and portable alternative, as an exciting candidate to provide a tailorable light source for fluorescence microscopy.
Firstly, to improve the laser performance parameters such that high power and high specification lasers could be realised; device fabrication improvements were presented. Studies exploring the effect of alignment layer rubbing depth and the device cell gap spacing on laser performance were conducted. The results were the first of their kind and produced advances in fabrication that were critical to repeatedly realising stable, single-mode LC laser outputs with sufficient power to conduct microscopy. These investigations also aided with the realisation of laser diode pumping of LC lasers. Secondly, the identification of optimum dye concentrations for single and multi-dye systems were used to optimise the LC laser mixtures for optimal performance. These investigations resulted in novel results relating to the gain media in LC laser systems. Collectively, these advancements yielded lasers of extremely low threshold, comparable to the lowest reported thresholds in the literature.
A portable LC laser system was integrated into a microscope and used to perform fluorescence microscopy. Successful two-colour imaging and multi-wavelength switching ability of LC lasers were exhibited for the first time. The wavelength selectivity of LC lasers was shown to allow lower incident average powers to be used for comparable image quality. Lastly, wavelength selectivity enabled the LC laser fluorescence microscope to achieve high enough sensitivity to conduct quantitative fluorescence measurements. The development of LC lasers and their suitability to fluorescence microscopy demonstrated in this thesis is hoped to push towards the realisation of commercialisation and application for the technology
Integral field spectroscopy:a glance to chemo-dynamics in galaxies
Abstract. 3D information of the structures in galaxies is not directly available from the morphologies that are, however, needed to target studies on the structures. Alternatively, the spectra of galaxies broadened by the line-of-sight-velocity-distribution (LOSVD) can be used as LOS spatial distribution probes and hold the chemical footprints left along the evolution of galaxies. Knowledge gained from the density distributions and the stellar populations narrows down the processes involved in building these observed morphologies. Integral field spectroscopy (IFS) is an ideal technique for such cases as it instantaneously provides simultaneous morphological and spectral information from the targets. Thick disks and X/B/P bulges are both structures that are often most directly observable in a near edge-on orientation. The vertical density distribution in these structures are the result of evolutional processes that produce stellar populations accordingly but direct information on the distribution vanishes sharply with decreasing inclination () as does our consensus of the structures in the LOS. Investigating such structures and the LOSVDs in simulations can lift some of the doubt and improve our knowledge to be adapted on the search of these structures over various galaxy inclinations.
In this thesis Gauss-Hermite series are deployed to scrutinise the LOSVDs in thin-thick disk and X/B/P simulations (A and B) against the IFS data from central regions of 13 () galaxies with , , from the Spitzer Survey Stellar Structures in Galaxies () sample. Thin-thick disk superposition in simulation-A produces radially increasing amplitudes of the fourth Gauss-Hermite moment (). The third Gauss-Hermite moment () shows mainly anti-correlation with LOSV and persist relatively strong even for low inclinations. These signatures are observed in the IFS data but due to limited field-of-view (FoV) and on-plane rings observed in the systems they are not unambiguous. In simulation-B, negative minima are found on average at and corresponds to the X-shape structure on edge-on view. Regarding observations, the nuclear region also highlights a -ring that is a signature observed frequently in the sample. In simulation-B the ring is produced by the disk-bulge superposition in the LOS and is observable independent of inclination. NGC 1068 and NGC 1387 are found to be X/B/P bulge candidates as both are observed in low , in which the fourth vertical density distribution moment () is probed by the moment, and are observed with negative at a radial distance . In low the minima in simulation-B are found with weak correlation that is observed with NGC 1387 but not clearly with NGC 1068.2D spektroskopia : katsaus galaksien kemo-dynamiikkaan. TiivistelmÀ. 3D informaatio galaksien rakenteista ei ole suoraan havaittavissa niiden morfologiasta, jota kuitenkin tarvitaan nÀiden rakenteiden tutkimiseen. Toisaalta galaksien spektrit laajentuessaan katseen suuntaisten nopeusjakaumien (LOSVD) mukaisesti mahdollistavat rakenteiden syvyyssuuntaisen ulottuvuuden tutkimisen ja pitÀvÀt sisÀllÀÀn kemialliset jalanjÀljet galaksien evoluutiosta. Tiheys/nopeusjakaumista ja tÀhtipopulaatiosta saatava tieto tuottaa tarkemman kuvan siitÀ, mitkÀ prosessit kykenevÀt muodostamaan galakseissa havaitut rakenteet. 2D-spektroskopia (IFS) on ideaali keino galaksien rakenteiden tutkimiseen sen vÀlittömÀsti tuottaman yhtÀaikaisen morfologisen ja spektroskooppisen informaation ansiosta. Paksukiekot ja X/B/P keskuspullistumat ovat rakenteita, jotka ovat usein havaittavissa suuren inklinaation omaavissa galakseissa. NÀiden rakenteiden pystysuuntaiset tiheys/nopeusjakaumat ja tÀhtipopulaatiot ovat evoluutionaalisten prosessien tulosta, mutta havaittavan galaksin inklinaation ollessa pieni, suora informaatio rakenteiden pystysuuntaisista tiheysjakaumista ja identiteetistÀ katoaa. Siksi rakenteiden muodon ja niiden katseen suuntaisten nopeushajontojen tutkiminen simulaatiossa vahvistaa kÀsitystÀmme galakseissa esiintyvistÀ rakenteista.
TyössĂ€ hyödynnetÀÀn Gauss-Hermite sarjoja nopeusjakaumien analyysiin kahdessa simulaatiossa ja 2D spektroskopiassa 13:lle () galaksille (, , ) âSpitzer Survey of Stellar Structures in Galaxies (S4G)â havaintojoukosta. Kaksoiskiekkosimulaatiossa kiekkojen superpositio-LOSVD tuottaa radiaalisesti ulospĂ€in kasvavan Gauss-Hermite sarjan neljĂ€nnen momentin (). Gauss-Hermite sarjan kolmas momentti () anti-korreloi LOSV kanssa ja on havaittavissa suhteellisen selvĂ€sti, myös matalilla simulaatio inklinaatiolla. Vastaavat merkit ovat havaittavissa IFS datasta, mutta rajallisesta havaintoalueesta ja hĂ€iriöitĂ€ tuottavista rengasrakenteista johtuen ne eivĂ€t ole yksiselitteisiĂ€. X/B/P simulaatiossa negatiiviset minimit esiintyvĂ€t keskimÀÀrin etĂ€isyydellĂ€ , joka vastaa X-rakennetta kylki-edessĂ€ orientaatiossa. Simulaation keskustassa havaitaan keskuspullistuman ja kiekon tuottama rengas, joka on usein esiintyvĂ€ piirre havaintojoukon IFS datassa. NGC 1068 ja NGC 1387 ovat X/B/P keskuspullistuma kandidaatteja, sillĂ€ molemmat ovat inklinaatiossa, jossa vertikaalisen tiheysjakauman neljĂ€nnen momentin () tulkinta arvoista on mahdollista ja molemmissa tapauksissa negatiiviset minimit löytyvĂ€t radiaalisella etĂ€isyydellĂ€ . Matalilla inklinaatiolla simulaation minimit havaitaan heikon korrelaation kanssa, joka on havaittavissa NGC 1387:ssĂ€, mutta ei selkeĂ€sti NGC 1068:ssa
Funduse sinine ja lĂ€hi-infrapuna autofluorestsentsuuring autosoom-retsessiivse Stardgardti tĂ”ve, koroidereemia, PROM1-maakuli dĂŒstroofia ja okulaarse albinismi patsientidel
VĂ€itekirja elektrooniline versioon ei sisalda publikatsiooneFunduse sinine ja lĂ€hi-infrapuna autofluorestsentsuuring autosoom-retsessiivse Stardgardti tĂ”ve, koroidereemia, PROM1-maakuli dĂŒstroofia ja okulaarse albinismi patsientidel
PÀrilikud vÔrkkestahaigused on juhtivaks nÀgemiskaotuse pÔhjuseks tööealise elanikkonna seas arenenud riikides. Tegemist on kliiniliselt ja geneetiliselt vÀga heterogeense haiguste grupiga, mistÔttu diagnostika ja haiguse patogeneesi uurimine on olnud vaevarikas. VÔrkkesta piltdiagnostika on oluline mitte-invasiivne meetod haiguste diagnoosimiseks ja uurimiseks. Konfokaalne skanneeriv laseroftalmoskoop valgustab vÔrkkesta erineva lainepikkusega laserkiirega ning salvestab tagasikiirgavat valgust luues silmapÔhjast pildi. Funduse autofluorestsents (AF) uuringul kasutatakse Àra silmapÔhja enda naturaalseid fluorofoore. Lipofustsiini ergastamiseks kasutatakse sinise spektri laserkiirt (sinine AF) ja melaniini jaoks lÀhipuna laserkiirt (lÀhipuna AF). Nende fluorofooride jaotus ja kogus silmapÔhjas muutub erinevate haigusprotsesside mÔjul ning need muutused on tuvastatavad AF uuringul.
Antud doktoritöös uurisime sinise ja lĂ€hipuna AF uuringu pilte autosoom-retsesiivse Stargardti tĂ”ve (STGD1), koroidereemia, PROM1-maakuli dĂŒstroofia ning okulaarse albinismi patsientidel. Töö eesmĂ€rgiks oli paremini mĂ”ista sinise ja lĂ€hipuna AF signaali allikaid erinevate haigusseisundite korral, kus vĂ”rkkesta fluorofooride jaotus ning kogused on muutunud. Lisaks kvalitatiivsele piltide hindamisele kasutamise kvantitatiivset AF signaali tugevuse mÔÔtmist hindamaks lipofustsiini ja melaniini taset.
Uurimustöös nĂ€itasime, et melaniin on lĂ€hipuna AF signaali peamiseks allikaks. Lisaks nĂ€itasime, et melanin vĂ”ib kaudselt moduleerida lipofustsiinist tuleneva sinise AF signaali, sest okulaarse albinismi kandjate hĂŒpopigmenteeritud vĂ”rkkesta alade sinise AF signal oli tavapĂ€rasest kĂ”rgem. AF signaali tugevuse mÔÔtmisel leidsime, et lipofustsiini kuhjumine vĂ”rkkestas pĂ”hjustab lisaks sinise AF signaali tĂ”usule ka lĂ€hipuna AF signaali tĂ”usu STGD1 patsientidel. Kvantitatiivsel analĂŒĂŒsil nĂ€itasime ka, et PROM1-maakuli dĂŒstroofia patsientide sinise AF signaal oli vĂ”rreldav terve silmapĂ”hja signaali tugevusega, eristades seda fenotĂŒĂŒbiliselt sarnasest STGD1 haigusest ning viidates ka sellele, et lipofustsiini ĂŒleliigne kuhjumine ei ole antud haigusele omane mehhanism. Koroidereemia ja STGD1 haigete uurimisel leidsime, et pigmentepiteeli rakkude kĂ€rbumine on nĂ€htav AF signaali hÀÀbumisena, samas lĂ€hipuna AF uuringaitab tuvastada varasemaid muutusi kui sinine AF uuring. Lipofustsiin ja melanin on mĂ”lemad olulised vĂ”rkkesta rakkude seisundi biomarkerid, mida on vĂ”imalik mitte-invasiivsel moel AF uuringu abil analĂŒĂŒsida ning hinnata haiguse progressiooni.Inherited retinal diseases are the leading cause of visual impairment among the working age-group in the developed countries. Because of genetic and phenotypical heterogeneity, diagnosis and understanding pathogenesis of inherited retinal disease has been challenging. Retinal imaging studies which are noninvasive, are an invaluable source of information. Fundus autofluorescence (FAF) utilizes natural fluorophores to create an image of the retina. Lipofuscin is the primary source for short-wavelength autofluorescence (SW-AF) and melanin for near-infrared autofluorescence (NIR-AF). The amount and distribution of these fluorophores changes in the different disease processes and is detectable in FAF images.
In this study we analyzed SW-AF and NIR-AF images in cases of genetically confirmed recessive Stargardt disease (STGD1), choroideremia, PROM1-macular disease and ocular albinism. The aim was to qualitatively describe FAF in conditions with varying levels of lipofuscin or melanin as well as to quantify FAF signal intensities. We also aimed at finding new clinical implications for autofluorescence imaging in evaluating inherited retinal disease.
We confirmed that melanin is the major source of NIR-AF signal by analyzing ocular albinism carriers and mice models with varying fundus pigmentation, but we also found that presence of melanin can modulate SW-AF signal strength. As a novel finding we confirmed that lipofuscin contributes to NIR-AF signal intensity in cases with excessive bisretinoid lipofuscin levels like seen in STGD1. The analysis of choroideremia and STGD1 patients showed that retinal pigment epithelium atrophy causes loss of signal in both SW-AF and NIR-AF, but NIR-AF could be more sensitive in detecting early cell degeneration. Quantifying the autofluorescence signal intensity helps to further understand disease processes as it is an indirect measure for levels of retinal fluorophores. We showed PROM1-macular dystrophy does not present with elevated levels of SW-AF indicating that excessive lipofuscin accumulation is likely not part of its disease mechanism. That knowledge is valuable in differentiating it from phenotypically similar STGD1 or when developing therapeutic approaches. Lipofuscin and melanin are both valuable retinal biomarkers for evaluating retinal health by using non-invasive autofluorescence imaging.https://www.ester.ee/record=b555738
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The Forward Physics Facility at the High-Luminosity LHC
High energy collisions at the High-Luminosity Large Hadron Collider (LHC) produce a large number of particles along the beam collision axis, outside of the acceptance of existing LHC experiments. The proposed Forward Physics Facility (FPF), to be located several hundred meters from the ATLAS interaction point and shielded by concrete and rock, will host a suite of experiments to probe standard model (SM) processes and search for physics beyond the standard model (BSM). In this report, we review the status of the civil engineering plans and the experiments to explore the diverse physics signals that can be uniquely probed in the forward region. FPF experiments will be sensitive to a broad range of BSM physics through searches for new particle scattering or decay signatures and deviations from SM expectations in high statistics analyses with TeV neutrinos in this low-background environment. High statistics neutrino detection will also provide valuable data for fundamental topics in perturbative and non-perturbative QCD and in weak interactions. Experiments at the FPF will enable synergies between forward particle production at the LHC and astroparticle physics to be exploited. We report here on these physics topics, on infrastructure, detector, and simulation studies, and on future directions to realize the FPFâs physics potential
Cloud fragmentation and chemical evolution of the high-mass star-forming region G327.3-0.6
In the struggle to understand how stars form in a cluster, it is important to study the morphology, kinematics and chemistry of the star-forming clouds. This thesis focuses on the high-mass star-forming region G327.3-0.6, which is a 3 pc filament at a distance of 3.3 kpc, hosting one hot molecular core and a set of cold dense cores. It was observed with the Atacama Large Millimetre/Sub-millimetre Array (ALMA) at 1.3 mm with high resolution 2". The data were self-calibrated to improve the signal to noise ratio by a factor of 2. The dendrogram algorithm together with the background subtraction were adopted to determine 66 compact cores. Minimum spanning tree determined a median core separation at 0.15pc and possible hierarchical fragmentation, which was supported by the two-point correlation function. Core mass function (CMF) was fitted with an index of -0.83, which is a hint of high-mass star-forming regions. The fragmentation in the filament was dominated by thermal support in small scale (~0.15pc) and by turbulence in large scale (~0.4pc). With toolbox XCLASS, 26 molecules and 39 isotopes were identified in the hot core spectrum, and a temperature of 270K was derived. The temperature error is around 60%. The moment maps were derived for 42 molecular transitions and analyzed by the Histogram of Oriented Gradient (HOG), indicating correlations between DCN and continuum, SiO and H2CO/CH3OH. Principal component analysis (PCA) and clustering algorithm were applied to the average spectra of each core to classify the evolutionary stages. Four groups are found with chemical and physical distinctions, suggesting the excitation temperature of CH3OH to be a good evolutionary indicator. The infrared environment is complex and may associated with photon-dissociation regions (PDRs)
The SPHERE view of three interacting twin disc systems in polarized light
Dense stellar environments as hosts of ongoing star formation increase the probability of gravitational encounters among stellar systems during the early stages of evolution. Stellar interaction may occur through non-recurring, hyperbolic, or parabolic passages (a so-called 'fly-by'), through secular binary evolution, or through binary capture. In all three scenarios, the strong gravitational perturbation is expected to manifest itself in the disc structures around the individual stars. Here, we present near-infrared polarized light observations that were taken with the SPHERE/IRDIS instrument of three known interacting twin-disc systems: AS 205, EMâ SR 24, and FU Orionis. The scattered light exposes spirals likely caused by the gravitational interaction. On a larger scale, we observe connecting filaments between the stars. We analyse their very complex polarized intensity and put particular attention to the presence of multiple light sources in these systems. The local angle of linear polarization indicates the source whose light dominates the scattering process from the bridging region between the two stars. Further, we show that the polarized intensity from scattering with multiple relevant light sources results from an incoherent summation of the individuals' contribution. This can produce nulls of polarized intensity in an image, as potentially observed in AS 205. We discuss the geometry and content of the systems by comparing the polarized light observations with other data at similar resolution, namely with ALMA continuum and gas emission. Collective observational data can constrain the systems' geometry and stellar trajectories, with the important potential to differentiate between dynamical scenarios of stellar interaction
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Black holes and how to find them : on the detection of compact objects at several scales
This dissertation is structured in four chapters. First, the reader is introduced to current detection methods for astrophysical black holes at different scales. The following three chapters correspond to different research projects regarding black hole detection. The second chapter presents the kinematic detection of a supermassive black hole at the center of the dwarf spherical galaxy Leo I. Chapter three presents a novel idea for the detection of supermassive black hole binaries using the effect their gravitational waves produce on lower frequency gravitational waves in our vicinity. Finally, chapter four describes the spectroscopic follow-up of LIGO-Virgo-Kagra gravitational wave sources conducted using the Hobby Eberly Telescope at McDonald Observatory.Physic
Technology for Low Resolution Space Based RSO Detection and Characterisation
Space Situational Awareness (SSA) refers to all activities to detect, identify and track objects in Earth orbit. SSA is critical to all current and future space activities and protect space assets by providing access control, conjunction warnings, and monitoring status of active satellites. Currently SSA methods and infrastructure are not sufficient to account for the proliferations of space debris. In response to the need for better SSA there has been many different areas of research looking to improve SSA most of the requiring dedicated ground or space-based infrastructure. In this thesis, a novel approach for the characterisation of RSOâs (Resident Space Objects) from passive low-resolution space-based sensors is presented with all the background work performed to enable this novel method. Low resolution space-based sensors are common on current satellites, with many of these sensors being in space using them passively to detect RSOâs can greatly augment SSA with out expensive infrastructure or long lead times. One of the largest hurtles to overcome with research in the area has to do with the lack of publicly available labelled data to test and confirm results with. To overcome this hurtle a simulation software, ORBITALS, was created. To verify and validate the ORBITALS simulator it was compared with the Fast Auroral Imager images, which is one of the only publicly available low-resolution space-based images found with auxiliary data. During the development of the ORBITALS simulator it was found that the generation of these simulated images are computationally intensive when propagating the entire space catalog. To overcome this an upgrade of the currently used propagation method, Specialised General Perturbation Method 4th order (SGP4), was performed to allow the algorithm to run in parallel reducing the computational time required to propagate entire catalogs of RSOâs. From the results it was found that the standard facet model with a particle swarm optimisation performed the best estimating an RSOâs attitude with a 0.66 degree RMSE accuracy across a sequence, and ~1% MAPE accuracy for the optical properties. This accomplished this thesis goal of demonstrating the feasibility of low-resolution passive RSO characterisation from space-based platforms in a simulated environment
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