Skip to content

Latest commit

 

History

History
95 lines (46 loc) · 5.89 KB

README.md

File metadata and controls

95 lines (46 loc) · 5.89 KB

Term Projects

Selected papers in astronomy with applications of ML

Cosmology

  • Mapping the Galaxy Color-Redshift Relation: Optimal Photometric Redshift Calibration Strategies for Cosmology Surveys [arXiv:1509.03318v1]

  • Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit [arXiv:1702.00403]

  • Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing [arXiv:1901.05005]

  • Improving Galaxy Clustering Measurements with Deep Learning: analysis of the DECaLS DR7 data [arXiv:1907.11355]

  • Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems [arXiv:1912.03980]

  • KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps [arXiv:2005.04207]

  • Deblending galaxies with Variational Autoencoders: a joint multi-band, multi-instrument approach [arXiv:2005.12039]

  • Mitigating contamination in LSS surveys: a comparison of methods [arXiv:2007.14499]

  • Deep Generative Models for Galaxy Image Simulations [arXiv:2008.03833]

  • Baryon Acoustic Oscillations in the projected cross-correlation function between the eBOSS DR16 quasars and photometric galaxies from the DESI Legacy Imaging Surveys [arXiv:2009.02308]

  • A Generative Model of Galactic Dust Emission Using Variational Inference [arXiv:2101.11181]

  • Dark Energy Survey Year 3 Results: Galaxy clustering and systematics treatment for lens galaxy samples [arXiv:2105.13540]

  • Simultaneous Estimation of Large-Scale Structure and Milky Way Dust Extinction from Galaxy Surveys [arXiv:2106.08818]

  • Primordial non-Gaussianity from the Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey I: Catalogue Preparation and Systematic Mitigation [arXiv:2106.13724]

✭ More papers listed in this repository : ML papers in cosmology.

Extragalactic

  • Finding strong lenses in CFHTLS using convolutional neural networks [arXiv:1704.02744]

  • Deep Convolutional Neural Networks as strong gravitational lens detectors [arXiv:1705.07132]

  • The Strong Gravitational Lens Finding Challenge [arXiv:1802.03609]

  • Finding high-redshift strong lenses in DES using convolutional neural networks [arXiv:1811.03786]

  • Discovering New Strong Gravitational Lenses in the DESI Legacy Imaging Surveys [arXiv:2005.04730]

  • Machine learning technique for morphological classification of galaxies from the SDSS. I. Photometry-based approach [arXiv:1712.08955]

  • Machine and Deep Learning Applied to Galaxy Morphology -- A Comparative Study [arXiv:1901.07047]

  • Optimising Automatic Morphological Classification of Galaxies with Machine Learning and Deep Learning using Dark Energy Survey Imaging [arXiv:1908.03610]

  • Galaxy morphological classification in deep-wide surveys via unsupervised machine learning [arXiv:1909.10537]

  • Beyond the Hubble Sequence -- Exploring Galaxy Morphology with Unsupervised Machine Learning [arXiv:2009.11932]

  • Pushing automated morphological classifications to their limits with the Dark Energy Survey [arXiv:2012.07858]

  • DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains [arXiv:2103.01373]

  • Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning [arXiv:2105.01070]

  • Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using Deep Generative Models [arXiv:2105.12149]

  • Finding quadruply imaged quasars with machine learning. I. Methods [arXiv:2109.09781]

Milky Way

  • Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects [arXiv:2009.12856]

  • DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning [arXiv:2011.12437]

  • Via Machinae: Searching for Stellar Streams using Unsupervised Machine Learning [arXiv:2104.12789]

  • A search of the full six years of the Dark Energy Survey for outer Solar System objects [arXiv:2109.03758]

Time Series astro

  • Machine Learning for the Zwicky Transient Facility [arXiv:1902.01936]

  • The Zwicky Transient Facility Alert Distribution System [arXiv:1902.02227]

  • Real-bogus classification for the Zwicky Transient Facility using deep learning [arXiv:1907.11259]

  • Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) [arXiv:2012.12392]

  • Expediting DECam Multimessenger Counterpart Searches with Convolutional Neural Networks [arXiv:2106.11315]