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Gentle reminder of this today at 1pm.</div>
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Joe</div>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Joseph Butler <Joseph.Butler@nottingham.ac.uk><br>
<b>Sent:</b> Monday, January 26, 2026 10:07:14 AM<br>
<b>To:</b> astro@nottingham.ac.uk <astro@nottingham.ac.uk><br>
<b>Subject:</b> Lunch Talk - 29/01/26</font>
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<div style="line-break:after-white-space"><span style="font-size:14px">Hi all,</span>
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<div><span style="font-size:14px">This week’s lunch talk will be given by Jacob Campbell, and will take place on Thursday 29th January at 1pm in A113. Title and abstract below.<br>
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<span style="font-size:14px"><b>Title:</b> Co-ordinate transformations in substructure detection using gravitational lensing.</span></div>
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<span style="font-size:14px"><b>Abstract:</b> Strong gravitational lensing provides a natural probe for dark matter distributions around galaxies due to its sole dependence on the mass distribution of the lens galaxy. Over the past decade, machine learning
has been coupled with this in an attempt to establish a pipeline for extracting substructure information from lensing images in anticipation of the next generation of wide surveys such as Euclid and LSST. As of yet, however, the required accuracy has yet to
be obtained, highlighting a need for more advanced machine learning architectures and techniques. In this talk, I will present a data augmentation technique that boosts network performance without the need for higher resolution observations or more complex
machine learning architectures.</span></div>
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<span style="font-size:14px">Thanks,</span></div>
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<span style="font-size:14px">Joe</span></div>
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