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We propose to design and build an algorithm that will use a Convolutional Neural Network (CNN) and observations from the Unistellar network to reliably detect asteroid occultations. The Unistellar Network, made of more than 10,000 digital…

Earth and Planetary Astrophysics · Physics 2022-12-21 Dorian Cazeneuve , Franck Marchis , Guillaume Blaclard , Paul A. Dalba , Victor Martin , Joé Asencioa

Smart metering infrastructures collect data almost continuously in the form of fine-grained long time series. These massive data series often have common daily patterns that are repeated between similar days or seasons and shared among…

Methodology · Statistics 2022-10-10 A. Elías , J. M. Morales , S. Pineda

We use seven year's worth of observations from the Catalina Sky Survey and the Siding Spring Survey covering most of the northern and southern hemisphere at galactic latitudes higher than 20 degrees to search for serendipitously imaged…

Digital tracking detects faint solar system bodies by stacking many images along hypothesized orbits, revealing objects that are undetectable in every individual exposure. Previous searches have been restricted to small areas and short time…

Earth and Planetary Astrophysics · Physics 2025-10-01 Alex Geringer-Sameth , Nathan Golovich , Keita Iwabuchi

Since July 2014, the ESA Gaia mission has been surveying the entire sky down to magnitude 20.7 in the visible. In addition to the millions of stars, thousands of Solar System Objects (SSOs) are observed daily. By comparing their positions…

Compared with previous space-borne surveys, the Transiting Exoplanet Survey Satellite (TESS) provides a unique and new approach to observe Solar System objects. While its primary mission avoids the vicinity of the ecliptic plane by…

Improving the retrieval relevance on noisy datasets is an emerging need for the curation of a large-scale clean dataset in the medical domain. While existing methods can be applied for class-wise retrieval (aka. inter-class), they cannot…

Computer Vision and Pattern Recognition · Computer Science 2022-04-08 Xiaoyuan Guo , Jiali Duan , Saptarshi Purkayastha , Hari Trivedi , Judy Wawira Gichoya , Imon Banerjee

The discovery of the first two macroscopic interstellar objects (ISOs) passing through the Solar System has opened entirely new perspectives in planetary science. The exploration of these objects offers a qualitatively new insight into the…

Earth and Planetary Astrophysics · Physics 2023-01-24 Dušan Marčeta

We introduce an online outlier detection algorithm to detect outliers in a sequentially observed data stream. For this purpose, we use a two-stage filtering and hedging approach. In the first stage, we construct a multi-modal probability…

Machine Learning · Computer Science 2018-03-13 Mohammadreza Mohaghegh Neyshabouri , Suleyman Serdar Kozat

We hypothesize that similar objects should have similar outlier scores. To our knowledge, all existing outlier detectors calculate the outlier score for each object independently regardless of the outlier scores of the other objects.…

Machine Learning · Computer Science 2023-03-20 Jiawei Yang , Susanto Rahardja , Pasi Franti

The ISOPHOT Serendipity Survey (ISOSS) covered approximately 15 % of the sky at a wavelength of 170 micron while the ISO satellite was slewing from one target to the next. By chance ISOSS slews went over many solar system objects (SSOs). We…

Astrophysics · Physics 2009-11-07 T. G. Mueller , S. Hotzel , M. Stickel

Asteroid families, traditionally defined as clusters of objects in orbital parameter space, often have distinctive optical colors. We show that the separation of family members from background interlopers can be improved with the aid of…

Spinspotter is a robust and automated algorithm designed to extract stellar rotation periods from large photometric datasets with minimal supervision. Our approach uses the autocorrelation function (ACF) to identify stellar rotation periods…

Solar and Stellar Astrophysics · Physics 2022-09-21 Rae J. Holcomb , Paul Robertson , Patrick Hartigan , Ryan J. Oelkers , Caleb Robinson

Outlier detection and cluster number estimation is an important issue for clustering real data. This paper focuses on spectral clustering, a time-tested clustering method, and reveals its important properties related to outliers. The…

Computer Vision and Pattern Recognition · Computer Science 2017-03-06 Takuro Ina , Atsushi Hashimoto , Masaaki Iiyama , Hidekazu Kasahara , Mikihiko Mori , Michihiko Minoh

Large and publicly available astronomical archives open up new possibilities to search and study Solar System objects. However, advanced techniques are required to deal with the large amounts of data. These unbiased surveys can be used to…

With a rapidly rising number of transients detected in astronomy, classification methods based on machine learning are increasingly being employed. Their goals are typically to obtain a definitive classification of transients, and for good…

Instrumentation and Methods for Astrophysics · Physics 2022-09-21 N. Miranda , J. C. Freytag , J. Nordin , R. Biswas , V. Brinnel , C. Fremling , M. Kowalski , A. Mahabal , S. Reusch , J. van Santen

Rare extragalactic objects can carry substantial information about the past, present, and future universe. Given the size of astronomical databases in the information era it can be assumed that very many outlier galaxies are included in…

Astrophysics of Galaxies · Physics 2021-01-13 Lior Shamir

Aims. A new method is applied to the segmentation, and further analysis of the outliers resulting from the classification of astronomical objects in large databases is discussed. The method is being used in the framework of the Gaia…

Instrumentation and Methods for Astrophysics · Physics 2013-09-11 D. Fustes , M. Manteiga , C. Dafonte , B. Arcay , A. Ulla , K. Smith , R. Borrachero , R. Sordo

NASA's Kepler Space Telescope was designed to determine the frequency of Earth-sized planets orbiting Sun-like stars, but these planets are on the very edge of the mission's detection sensitivity. Accurately determining the occurrence rate…

Earth and Planetary Astrophysics · Physics 2018-02-14 Christopher J. Shallue , Andrew Vanderburg