31 research outputs found

    Interplanetary Trajectory Optimization with Automated Fly-By Sequences

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    Critical aspects of spacecraft missions, such as component organization, control algorithms, and trajectories, can be optimized using a variety of algorithms or solvers. Each solver has intrinsic strengths and weaknesses when applied to a given optimization problem. One way to mitigate limitations is to combine different solvers in an island model that allows these algorithms to share solutions. The program Spacecraft Trajectory Optimization Suite (STOpS) is an island model suite of heterogeneous and homogeneous Evolutionary Algorithms (EA) that analyze interplanetary trajectories for multiple gravity assist (MGA) missions. One limitation of STOpS and other spacecraft trajectory optimization programs (GMAT and Pygmo/Pagmo) is that they require a defined encounter body sequence to produce a constant length set of design variables. Early phase trajectory design would benefit from the ability to consider problems with an undefined encounter sequence as it would provide a set of diverse trajectories -- some of which might not have been considered during mission planning. The Hybrid Optimal Control Problem (HOCP) and the concept of hidden genes are explored with the most common EA, the Genetic Algorithm (GA), to compare how the methods perform with a Variable Size Design Space (VSDS). Test problems are altered so that the input to the cost function (the object being optimized) contains a set of continuous variables whose length depends on a corresponding set of discrete variables (e.g. the number of planet encounters determines the number of transfer time variables). Initial testing with a scalable problem (Branin\u27s function) indicates that even though the HOCP consistently converges on an optimal solution, the expensive run time (due to algorithm collaboration) would only escalate in an island model system. The hidden gene mechanism only changes how the GA decodes variables, thus it does not impact run time and operates effectively in the island model. A Hidden Gene Genetic Algorithm ( HGGA) is tested with a simplified Mariner 10 (EVM) problem to determine the best parameter settings to use in an island model with the GTOP Cassini 1 (EVVEJS) problem. For an island model with all GAs there is improved performance when the different base algorithm settings are used. Similar to previous work, the model benefits from migration of solutions and using multiple algorithms or islands. For spacecraft trajectory optimization programs that have an unconstrained fly-by sequence, the design variable limits have the largest impact on the results. When the number of potential fly-by sequences is too large it prevents the solver from converging on an optimal solution. This work demonstrates HGGA is effective in the STOpS environment as well as with GTOP problems. Thus the hidden gene mechanism can be extended to other EAs with members containing design variables that function similarly. It is shown that the tuning of the HGGA is dependent on the specific constraints of the spacecraft trajectory problem at hand, thus there is no need to further explore the general capabilities of the algorithm

    Polyploidy breaks speciation barriers in Australian burrowing frogs Neobatrachus

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    Polyploidy has played an important role in evolution across the tree of life but it is still unclear how polyploid lineages may persist after their initial formation. While both common and well-studied in plants, polyploidy is rare in animals and generally less understood. The Australian burrowing frog genus Neobatrachus is comprised of six diploid and three polyploid species and offers a powerful animal polyploid model system. We generated exome-capture sequence data from 87 individuals representing all nine species of Neobatrachus to investigate species-level relationships, the origin and inheritance mode of polyploid species, and the population genomic effects of polyploidy on genus-wide demography. We describe rapid speciation of diploid Neobatrachus species and show that the three independently originated polyploid species have tetrasomic or mixed inheritance. We document higher genetic diversity in tetraploids, resulting from widespread gene flow between the tetraploids, asymmetric inter-ploidy gene flow directed from sympatric diploids to tetraploids, and isolation of diploid species from each other. We also constructed models of ecologically suitable areas for each species to investigate the impact of climate on differing ploidy levels. These models suggest substantial change in suitable areas compared to past climate, which correspond to population genomic estimates of demographic histories. We propose that Neobatrachus diploids may be suffering the early genomic impacts of climate-induced habitat loss, while tetraploids appear to be avoiding this fate, possibly due to widespread gene flow. Finally, we demonstrate that Neobatrachus is an attractive model to study the effects of ploidy on the evolution of adaptation in animals

    Redesigning the Warren Animal Shelter

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    The new shelter should incorporate improved natural lighting and ventilation, adequate space for laundry facilities and more space for the animals\u27 living and bathing needs. The design should consider how to prevent dogs from barking and disturbing one another while in the kennels. Increased storage is necessary for the animal shelter to contain the food and living amenities for the incoming animals

    Whole genome duplication potentiates inter-specific hybridisation and niche shifts in Australian burrowing frogs Neobatrachus

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    Polyploidy plays an important role in evolution because it can lead to increased genetic complexity and speciation. It also provides an extra copy buffer and increases genetic novelty. While both common and well-studied in plants, polyploidy is rare in animals, and most polyploid animals reproduce asexually. Amphibians represent a dramatic vertebrate exception, with multiple independent sexually reproducing polyploid lineages, but very few cases have been studied in any detail. The Australian burrowing frog genus Neobatrachus is comprised of six diploid and three polyploid species and offers a powerful model animal polyploid system. We generated exome-capture sequence data from 87 individuals representing all nine species of Neobatrachus to investigate species-level relationships, the origin of polyploid species, and the population genomic effects of polyploidy on genus-wide demography. We resolve the phylogenetic relationships among Neobatrachus species and provide further support that the three polyploid species have independent origins. We document higher genetic diversity in tetraploids, resulting from widespread gene flow specifically between the tetraploids, asymmetric inter-ploidy gene flow directed from sympatric diploids to tetraploids, and current isolation of diploid species from each other. We also constructed models of ecologically suitable areas for each species to investigate the impact of climate variation on frogs with differing ploidy levels. These models suggest substantial change in suitable areas compared to past climate, which in turn corresponds to population genomic estimates of demographic histories. We propose that Neobatrachus diploids may be suffering the early genomic impacts of climate-induced habitat loss, while tetraploids appear to be avoiding this fate, possibly due to widespread gene flow into tetraploid lineages specifically. Finally, we demonstrate that Neobatrachus is an attractive model to study the effects of ploidy on evolution of adaptation in animals

    COSMOS-UK user guide: usersā€™ guide to sites, instruments and available data (version 2.10)

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    The COSMOS-UK User Guide is a comprehensive guide to the data collected by COSMOS-UK, including the near-real time soil moisture data derived from counts of netrons derived from cosmic rays. The User Guide contains: i) information about the sites, their locations and other meta data. ii) Details of the instruments deployed at each site. iii) Background information about the cosmic ray neutron counter which is used to derive soil moisture within a 12 hectare footprint. iv) Descriptions of data and information products that are available from COSMOS-UK

    DIY Methods 2022 Conference Proceedings

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    As the past years have proven, the methods for conducting and distributing research that weā€™ve inherited from our disciplinary traditions can be remarkably brittle in the face of rapidly changing social and mobility norms. The ways we work and the ways we meet are questions newly opened for practical and theoretical inquiry; we both need to solve real problems in our daily lives and account for the constitutive effects of these solutions on the character of the knowledge we produce. Methods are not neutral tools, and nor are they fixed ones. As such, the work of inventing, repairing, and hacking methods is a necessary, if often underexplored, part of the wider research process. This conference aims to better interrogate and celebrate such experiments with method. Borrowing from the spirit and circuits of exchange in earlier DIY cultures, it takes the form of a zine ring distributed via postal mail. Participants will craft zines describing methodological experiments and/or how-to guides, which the conference organisers will subsequently mail out to all participants. Feedback on conference proceedings will also proceed through the mail, as well as via an optional Twitter hashtag. The conference itself is thus an experiment with different temporalities and medialities of research exchange. As a practical benefit, this format guarantees that the experience will be free of Zoom fatigue, timezone difficulties, travel expenses, and visa headaches. More generatively, it may also afford slower thinking, richer aesthetic possibilities, more diverse forms of circulation, and perhaps even some amount of delight. The conference format itself is part of the DIY experiment
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