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SUMMARY:Speaker: Bharath Nagam (Groningen) Title:Finding strong lenses using deep learning with upcoming Euclid data
DESCRIPTION:Date:  Friday\, January 26\, 2024 \nTime: 12:00 PM – 1:00 PM \nLocation: Sessler Conference Room–50A-5132 [Hybrid and In-Person] \nSpeaker: Bharath Nagam (Groningen)  \nTitle: Finding strong lenses using deep learning with upcoming Euclid data \nAbstract: “Detecting strong lenses in a large dataset such as Euclid is very challenging due to the unbalanced nature of dataset. Existing CNN models are producing large amount of false positives\, for example one strong\nlens candidate will be accompanied by 100’s of false positives in the final sample. To over come this challenge\, we have developed a novel ML pipeline called DenseLens\, which consists of three components namely Classification ensemble\, Regression ensemble and Segmentation. Classification ensemble is an ensemble of DenseNet-CNNs which provides predictions in range [0\,1] and Regression ensemble rank-orders strong lenses based on Information Content i.e.\, higher the rank\, the more visually convincing features. Finally we use the segmentation model to predict the source pixels of the rank-ordered image. We use this additional information from this predicted source pixels to classify whether the candidate is a strong lens or not. We applied this the novel approach of combing different ML models to the Kilo Degree Survey (KiDS) data and we reduced the false positives by an enormous factor. \nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/95016696011?pwd=Tk1XOW1Xd3RYRnlsc2tEYmRWZlVVZz09 \nMeeting ID: 950 1669 6011\n\nPasscode: 247722
URL:https://inpa.lbl.gov/event/speaker-bharath-nagam-groningen-titlefinding-strong-lenses-using-deep-learning-with-upcoming-euclid-data/
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