Search Results - "Scaife, Anna M. M."

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    Practical galaxy morphology tools from deep supervised representation learning by Walmsley, Mike, Scaife, Anna M M, Lintott, Chris, Lochner, Michelle, Etsebeth, Verlon, Géron, Tobias, Dickinson, Hugh, Fortson, Lucy, Kruk, Sandor, Masters, Karen L, Mantha, Kameswara Bharadwaj, Simmons, Brooke D

    “…ABSTRACT Astronomers have typically set out to solve supervised machine learning problems by creating their own representations from scratch. We show that deep…”
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    Journal Article
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    CS-ROMER: a novel compressed sensing framework for Faraday depth reconstruction by Cárcamo, Miguel, Scaife, Anna M M, Alexander, Emma L, Leahy, J Patrick

    “…ABSTRACT The reconstruction of Faraday depth structure from incomplete spectral polarization radio measurements using the RM synthesis technique is an…”
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    A GMRT survey of regions towards the Taurus molecular cloud at 323 and 608 MHz by Ainsworth, Rachael E., Coughlan, Colm P., Green, David A., Scaife, Anna M. M., Ray, Tom P.

    “…We present observations of three active sites of star formation in the Taurus molecular cloud complex taken at 323 and 608 MHz (90 and 50 cm, respectively)…”
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    Fanaroff–Riley classification of radio galaxies using group-equivariant convolutional neural networks by Scaife, Anna M M, Porter, Fiona

    “…ABSTRACT Weight sharing in convolutional neural networks (CNNs) ensures that their feature maps will be translation-equivariant. However, although conventional…”
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    KAT-7 detection of radio halo emission in the Triangulum Australis galaxy cluster by Scaife, Anna M. M., Oozeer, Nadeem, de Gasperin, Francesco, Brüggen, Marcus, Tasse, Cyril, Magnus, Lindsay

    “…We report the presence of high significance diffuse radio emission from the Triangulum Australis cluster using observations made with the KAT-7 telescope and…”
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    Attention-gating for improved radio galaxy classification by Bowles, Micah, Scaife, Anna M M, Porter, Fiona, Tang, Hongming, Bastien, David J

    “…ABSTRACT In this work, we introduce attention as a state-of-the-art mechanism for classification of radio galaxies, using convolutional neural networks. We…”
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    Quantifying uncertainty in deep learning approaches to radio galaxy classification by Mohan, Devina, Scaife, Anna M M, Porter, Fiona, Walmsley, Mike, Bowles, Micah

    “…ABSTRACT In this work we use variational inference to quantify the degree of uncertainty in deep learning model predictions of radio galaxy classification. We…”
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    Radio Galaxy Zoo: using semi-supervised learning to leverage large unlabelled data sets for radio galaxy classification under data set shift by Slijepcevic, Inigo V, Scaife, Anna M M, Walmsley, Mike, Bowles, Micah, Wong, O Ivy, Shabala, Stanislav S, Tang, Hongming

    “…ABSTRACT In this work, we examine the classification accuracy and robustness of a state-of-the-art semi-supervised learning (SSL) algorithm applied to the…”
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    IONONEST—A Bayesian approach to modeling the lower ionosphere by Martin, Poppy L., Scaife, Anna M. M., McKay, Derek, McCrea, Ian

    Published in Radio science (01-08-2016)
    “…Obtaining high‐resolution electron density height profiles for the D region of the ionosphere as a well‐sampled function of time is difficult for most methods…”
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    Structured variational inference for simulating populations of radio galaxies by Bastien, David J, Scaife, Anna M M, Tang, Hongming, Bowles, Micah, Porter, Fiona

    “…ABSTRACT We present a model for generating postage stamp images of synthetic Fanaroff–Riley Class I and Class II radio galaxies suitable for use in simulations…”
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    A broad-band flux scale for low-frequency radio telescopes by Scaife, Anna M. M., Heald, George H.

    “…ABSTRACT We present parametrized broad-band spectral models valid at frequencies between 30 and 300 MHz for six bright radio sources selected from the 3C…”
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