2017英特爾ISEF獲獎(jiǎng)作品摘要 物理學(xué)和天文學(xué) Intel Finalist Abstract Physics and Astronomy

獲獎(jiǎng)作品基本信息

年份	2017
學(xué)科	物理與天文學(xué) Physics and Astronomy
國家/州	United States of America

獲獎(jiǎng)作品名稱

A Linked Learning Approach to Automated Galaxy Morphology Classification

獲獎(jiǎng)作品摘要

New survey telescopes and advances in observational technology have allowed astronomers to collect more detailed data about the universe than ever before. More efficient automated data analysis tools are required to sustain this increase in the volume and complexity of survey data. This project explores a linked learning approach to galaxy morphology classification. In addition to a deep convolutional neural network to analyze images of galaxies in the Sloan Digital Sky Survey, the linked method accounts for known galaxy properties and correlations established in recent literature from the context of the galaxy image. A convolutional neural network was first trained using approximately 1000 galaxy images from the SDSS. The model was then used as a consideration factor in a deep learning network trained on over a million galaxies using contextual data not able to be extracted from image analysis. Accuracy from the final model was compared to citizen scientist classifications from the Galaxy Zoo project. The linked method achieved morphology accuracy rates above 90 percent. Compared to existing, non-machine learning methods of morphology classification, the linked method is faster and demonstrates extreme promise by achieving close to industry standard accuracy using datasets of modest size. Finally, linked method classifications were visualized and proven sufficient for confirming long-term evolution trends.

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高中生科研學(xué)術(shù)活動(dòng) 英特爾 Intel ISEF 簡(jiǎn)介

英特爾國際科學(xué)與工程大獎(jiǎng)賽，簡(jiǎn)稱 "ISEF"，由美國 Society for Science and the Public（科學(xué)和公共服務(wù)協(xié)會(huì)）主辦，英特爾公司冠名贊助，是全球規(guī)模最大、等級(jí)最高的中學(xué)生的科研科創(chuàng)賽事。ISEF 的學(xué)術(shù)活動(dòng)學(xué)科包括了所有數(shù)學(xué)、自然科學(xué)、工程的全部領(lǐng)域和部分社會(huì)科學(xué)。ISEF 素有全球青少年科學(xué)學(xué)術(shù)活動(dòng)的“世界杯”之美譽(yù)，旨在鼓勵(lì)學(xué)生團(tuán)隊(duì)協(xié)作，開拓創(chuàng)新，長(zhǎng)期專一深入地研究自己感興趣的課題。

學(xué)科簡(jiǎn)介：物理與天文學(xué) Physics and Astronomy

Physics is the science of matter and energy and of interactions between the two. Astronomy is the study of anything in the universe beyond the Earth.

Subcategories:

Atomic, Molecular, and Optical Physics?(AMO):?The?study of atoms, simple molecules, electrons, light, and their interactions.? Projects studying?non-solid state?lasers and masers also belong in this subcategory.

Astronomy and Cosmology?(AST):?The study of space,? the universe as a whole, including its origins and evolution, the physical properties of objects in space and computational astronomy.

Biological Physics?(BIP):?The study of the physics of biological processes and systems.

Condensed Matter and Materials?(MAT):?The study of the properties of solids and liquids. Topics such as superconductivity, semi-conductors, complex fluids, and thin films are studied.

Mechanics?(MEC):?Classical physics and mechanics, including the macroscopic study of forces, vibrations and flows; on solid, liquid and gaseous materials.?Projects studying aerodynamics or hydrodynamics also belong in this subcategory.

Nuclear and Particle Physics?(NUC):?The study of the physical properties of the atomic nucleus and of fundamental particles and the forces of their interaction.?Projects developing particle detectors also belong in this subcategory.

Theoretical, Computational, and Quantum Physics?(THE):?The study of nature, phenomena and the laws of physics employing mathematical or computational methods?rather than experimental processes.

Other?(OTH):?Studies that cannot be assigned to one of the above subcategories. If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.