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Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images
A.N. Vantyghem, T.J. Galvin, B. Sebastian, C.P. O’Dea, Y.A. Gordon, M. Boyce, L. Rudnick, K. Polsterer, H. Andernach, M. Dionyssiou, P. Venkataraman, R. Norris, S.A. Baum, X.R. Wang and M. Huynh Astronomy and Computing 47 100824 (2024) https://doi.org/10.1016/j.ascom.2024.100824
YOUNG Star detrending for Transiting Exoplanet Recovery (YOUNGSTER) – II. Using self-organizing maps to explore young star variability in sectors 1–13 of TESS data
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Searching for outliers in the Chandra Source Catalog
Dustin K Swarm, C T DeRoo, Y Liu and S Watkins Monthly Notices of the Royal Astronomical Society 516(3) 4324 (2022) https://doi.org/10.1093/mnras/stac2481
Where’s Swimmy?: Mining unique color features buried in galaxies by deep anomaly detection using Subaru Hyper Suprime-Cam data
Takumi S Tanaka, Rhythm Shimakawa, Kazuhiro Shimasaku, Yoshiki Toba, Nobunari Kashikawa, Masayuki Tanaka and Akio K Inoue Publications of the Astronomical Society of Japan 74(1) 1 (2022) https://doi.org/10.1093/pasj/psab105
The Physical Properties of Low-redshift FeLoBAL Quasars. I. Spectral-synthesis Analysis of the Broad Absorption-line (BAL) Outflows Using SimBAL
Hyunseop 현섭 Choi 최, Karen M. Leighly, Donald M. Terndrup, Collin Dabbieri, Sarah C. Gallagher and Gordon T. Richards The Astrophysical Journal 937(2) 74 (2022) https://doi.org/10.3847/1538-4357/ac61d9
Discovery of a Radio-loud Narrow-line Seyfert 1 Galaxy at z = 0.9 Reddened with a Strong 2175 Å Bump
Yipeng Zhou, Lei Hao, Peng Jiang, Xiang Pan, Luming Sun, Chichuan Jin, Xuejie Dai, Wenjuan Liu, Tuo Ji, Zhenya Zheng, Xiangning Huang, Xiheng Shi, Yibo Wang, Yifei Xiong and Chenwei Yang The Astrophysical Journal 941(2) 111 (2022) https://doi.org/10.3847/1538-4357/aca085
Effectively using unsupervised machine learning in next generation astronomical surveys
Study on outliers in the big stellar spectral dataset of the fifth data release (DR5) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)
Magnetic white dwarfs in post-common-envelope binaries
S G Parsons, B T Gänsicke, M R Schreiber, et al. Monthly Notices of the Royal Astronomical Society 502(3) 4305 (2021) https://doi.org/10.1093/mnras/stab284
Spectral Classification and Particular Spectra Identification Based on Data Mining
Peng Yang, Guowei Yang, Fanlong Zhang, Bing Jiang and Mengxin Wang Archives of Computational Methods in Engineering 28(3) 917 (2021) https://doi.org/10.1007/s11831-020-09401-9
Spectroscopic observations of the machine-learning selected anomaly catalogue from the AllWISE Sky Survey
Discovery of a Remarkably Powerful Broad Absorption-line Quasar Outflow in SDSS J135246.37+423923.5
Hyunseop Choi, Karen M. Leighly, Donald M. Terndrup, Sarah C. Gallagher and Gordon T. Richards The Astrophysical Journal 891(1) 53 (2020) https://doi.org/10.3847/1538-4357/ab6f72
Detecting outliers in astronomical images with deep generative networks
Berta Margalef-Bentabol, Marc Huertas-Company, Tom Charnock, et al. Monthly Notices of the Royal Astronomical Society 496(2) 2346 (2020) https://doi.org/10.1093/mnras/staa1647
Dimensionality Reduction of SDSS Spectra with Variational Autoencoders
Stephen K. N. Portillo, John K. Parejko, Jorge R. Vergara and Andrew J. Connolly The Astronomical Journal 160(1) 45 (2020) https://doi.org/10.3847/1538-3881/ab9644
Probabilistic Random Forest: A Machine Learning Algorithm for Noisy Data Sets
The effect of dust bias on the census of neutral gas and metals in the high-redshift Universe due to SDSS-II quasar colour selection
Max Pettini, Kasper E Heintz, Pasquier Noterdaeme, et al. Monthly Notices of the Royal Astronomical Society 486(3) 4377 (2019) https://doi.org/10.1093/mnras/stz1120
Detecting outliers and learning complex structures with large spectroscopic surveys – a case study with APOGEE stars
Itamar Reis, Dovi Poznanski, Dalya Baron, Gail Zasowski and Sahar Shahaf Monthly Notices of the Royal Astronomical Society 476(2) 2117 (2018) https://doi.org/10.1093/mnras/sty348
Redshifted broad absorption line quasars found via machine-learned spectral similarity
Itamar Reis, Dovi Poznanski and Patrick B Hall Monthly Notices of the Royal Astronomical Society 480(3) 3889 (2018) https://doi.org/10.1093/mnras/sty2127
MALS–NOT: Identifying Radio-bright Quasars for the MeerKAT Absorption Line Survey
J.-K. Krogager, N. Gupta, P. Noterdaeme, A. Ranjan, J. P. U. Fynbo, R. Srianand, P. Petitjean, F. Combes and A. Mahabal The Astrophysical Journal Supplement Series 235(1) 10 (2018) https://doi.org/10.3847/1538-4365/aaab51
A large sample of Kohonen selected E+A (post-starburst) galaxies from the Sloan Digital Sky Survey
THE EXTENDED HIGH A(V) QUASAR SURVEY: SEARCHING FOR DUSTY ABSORBERS TOWARD MID-INFRARED-SELECTED QUASARS
J.-K. Krogager, J. P. U. Fynbo, K. E. Heintz, S. Geier, C. Ledoux, P. Møller, P. Noterdaeme, B. P. Venemans and M. Vestergaard The Astrophysical Journal 832(1) 49 (2016) https://doi.org/10.3847/0004-637X/832/1/49
The peculiar optical-UV X-ray spectra of the X-ray weak quasar PG 0043+039
Environments of strong/ultrastrong, ultraviolet Fe ii emitting quasars
Roger G. Clowes, Srinivasan Raghunathan, Ilona K. Söchting, Matthew J. Graham and Luis E. Campusano Monthly Notices of the Royal Astronomical Society 433(3) 2467 (2013) https://doi.org/10.1093/mnras/stt915
ASPECT: A spectra clustering tool for exploration of large spectral surveys