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Related papers: STREAMFINDER I: A New Algorithm for detecting Stel…

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We simulate tidal streams in the presence and absence of substructures inside the zero redshift snapshot of the Via Lactea II (VL-2) simulation. A halo finder is used to remove and isolate the subhalos found inside the high resolution dark…

Astrophysics of Galaxies · Physics 2015-06-23 Wayne Ngan , Brandon Bozek , Raymond G. Carlberg , Rosemary F. G. Wyse , Alexander S. Szalay , Piero Madau

The SkyMapper 1.3 m telescope at Siding Spring Observatory has now begun regular operations. Alongside the Southern Sky Survey, a comprehensive digital survey of the entire southern sky, SkyMapper will carry out a search for supernovae and…

Instrumentation and Methods for Astrophysics · Physics 2017-07-26 Richard Scalzo , Fang Yuan , Michael J. Childress , Anais Moller , Brian Schmidt , Brad E. Tucker , Bonnie Zhang , Pierre Astier , Marc Betoule , Nicolas Regnault

We introduce the Southern Stellar Stream Spectroscopy Survey (${S}^5$), an on-going program to map the kinematics and chemistry of stellar streams in the Southern Hemisphere. The initial focus of ${S}^5$ has been spectroscopic observations…

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

The direct detection of binary systems in wide-field surveys is limited by the size of the stars' point-spread-functions (PSFs). A search for elongated objects can find closer companions, but is limited by the precision to which the PSF…

In this paper, we use coronal and heliospheric images from the STEREO spacecraft to track streamer blobs into the heliosphere and to observe them being swept up and compressed by the fast wind from low-latitude coronal holes. From an…

Solar and Stellar Astrophysics · Physics 2015-05-19 N. R. Sheeley, , A. P. Rouillard

Based on the second Gaia data release (Gaia DR2) and spectroscopy from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Data, we identified 20,089 halo stars kinematically and chemically. The halo streams in the solar…

Astrophysics of Galaxies · Physics 2019-04-03 Hefan Li , Cuihua Du , Shuai Liu , Thomas Donlon , Heidi Jo Newberg

Streamflow is a dynamical process that integrates water movement in space and time within basin boundaries. The authors characterize the dynamics associated with streamflow time series data from about seventy-one U.S. Geological Survey…

Physics and Society · Physics 2021-04-14 Ganesh R. Ghimire , Navid Jadidoleslam , Witold F. Krajewski , Anastasios A. Tsonis

We study streaming algorithms for Correlation Clustering. Given a graph as an arbitrary-order stream of edges, with each edge labeled as positive or negative, the goal is to partition the vertices into disjoint clusters, such that the…

Data Structures and Algorithms · Computer Science 2025-10-14 Yinhao Dong , Shan Jiang , Shi Li , Pan Peng

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…

We introduce a method for detecting astrophysical transients evolving on timescales of milliseconds to minutes using cosmic microwave background (CMB) survey telescopes. While previous transient searches in CMB data operate in map space,…

While mergers between massive galaxies and their dwarf satellites are well studied, the properties of dwarf - dwarf satellite mergers are not well constrained. Stellar streams trace satellite disruption and, in the dwarf galaxy regime, are…

In the real world, data streams are ubiquitous -- think of network traffic or sensor data. Mining patterns, e.g., outliers or clusters, from such data must take place in real time. This is challenging because (1) streams often have high…

Machine Learning · Computer Science 2021-01-08 Edouard Fouché , Florian Kalinke , Klemens Böhm

We present a model for producing tidal streams from disrupting progenitors in arbitrary potentials, utilizing the idea that the majority of stars escape from the progenitor's two Lagrange points. The method involves releasing test particles…

Astrophysics of Galaxies · Physics 2015-06-23 A. Bowden , V. Belokurov , N. W. Evans

We present a new method of identifying protostellar disc fragments in a simulation based on density derivatives, and analyse our data using this and the existing CLUMPFIND method, which is based on an ordered search over all particles in…

Earth and Planetary Astrophysics · Physics 2017-07-26 Cassandra Hall , Duncan Forgan , Ken Rice

Cold, dense streams of gas are predicted to penetrate deeply into massive halos (> 10^12 Msun) at cosmic noon (z=4-2), fueling galaxies to sustain high star formation rates. We investigate the prevalence of such cold streams in TNG50 over…

Spatial designs for monitoring stream networks, especially ephemeral systems, are typically non-standard, `sparse' and can be very complex, reflecting the complexity of the ecosystem being monitored, the scale of the population, and the…

Methodology · Statistics 2008-09-12 Melissa J. Dobbie , Brent L. Henderson , Don L. Stevens

Thin halo star streams originate from the evaporation of globular clusters and therefore provide information about the early epoch globular cluster population. The observed tidal tails from halo globular clusters in the Milky Way are much…

Astrophysics of Galaxies · Physics 2017-03-29 Raymond G. Carlberg

Knowledge about which nodes provide services is of critical importance for network administrators. Discovery of service nodes can be done by making full use of duplicate element detection in flows. Because the amount of traffic across…

Networking and Internet Architecture · Computer Science 2015-03-17 Zhou Changling , Xiao Jianguo , Cui Jian , Zhang Bei , Li Feng

How can we discover objects we did not know existed within the large datasets that now abound in astronomy? We present an outlier detection algorithm that we developed, based on an unsupervised Random Forest. We test the algorithm on more…

Astrophysics of Galaxies · Physics 2017-01-11 Dalya Baron , Dovi Poznanski
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