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This letter characterizes the statistics of the contact distance and the nearest neighbor (NN) distance for binomial point processes (BPP) spatially-distributed on spherical surfaces. We consider a setup of $n$ concentric spheres, with each…

Information Theory · Computer Science 2020-08-25 Anna Talgat , Mustafa A. Kishk , Mohamed-Slim Alouini

In the field of node representation learning the task of interpreting latent dimensions has become a prominent, well-studied research topic. The contribution of this work focuses on appraising the interpretability of another…

Social and Information Networks · Computer Science 2025-01-22 Dougal Shakespeare , Camille Roth

We have analysed the 2dF spectra of a sample of galaxies common to the 2dF galaxy redshift survey (2dFGRS, Colless 1999) and the NRAO VLA sky survey (NVSS, Condon et al. 1998). Our sample comprises 88 galaxies selected by Sadler et al.…

Astrophysics · Physics 2015-06-24 C A Jackson , D M Londish

We investigate the influence of close neighbor galaxies on the properties of supernovae (SNe) and their host galaxies using 56 SNe located in pairs of galaxies with different levels of star formation (SF) and nuclear activity. The…

Cosmology and Nongalactic Astrophysics · Physics 2013-10-02 T. A. Nazaryan , A. R. Petrosian , A. A. Hakobyan , V. Z. Adibekyan , D. Kunth , G. A. Mamon , M. Turatto , L. S. Aramyan

We study the distribution of line-of-sight velocities of galaxies in the vicinity of SDSS redMaPPer galaxy clusters. Based on their velocities, galaxies can be split into two categories: galaxies that are dynamically associated with the…

Cosmology and Nongalactic Astrophysics · Physics 2020-09-30 Paxton Tomooka , Eduardo Rozo , Erika L. Wagoner , Han Aung , Daisuke Nagai , Sasha Safonova

We present a table of 215 SNRs with distances. New distances are found to SNR G$51.26+0.11$ of $6.6 \pm 1.7$ kpc using HI absorption spectra, and to 5 other SNRs using maser/molecular cloud associations. We recalculate the distances and…

High Energy Astrophysical Phenomena · Physics 2022-11-30 S. Ranasinghe , D. Leahy

We applied the image-based approach with a convolutional neural network model to the sample of low-redshifts galaxies with $-24^{m}<M_{r}<-19.4^{m}$ from the SDSS DR9. We divided it into two subsamples, SDSS DR9 galaxy dataset and Galaxy…

Astrophysics of Galaxies · Physics 2022-08-04 I. B. Vavilova , V. Khramtsov , D. V. Dobrycheva , M. Yu. Vasylenko , A. A. Elyiv , O. V. Melnyk

Cosmological theories suggest that the angular momentum of galaxies should be closely linked to the structure of the cosmic web. The Local Supercluster is the closest and most studied structure where the orientation of galaxy spins can be…

Astrophysics of Galaxies · Physics 2025-06-04 P. Dolgosheeva , D. Makarov , N. Libeskind

We summarize the detection rates at wavelengths other than optical for \~99,000 galaxies from the Sloan Digital Sky Survey (SDSS) Data Release 1 ``main'' spectroscopic sample. The analysis is based on positional cross-correlation with…

The alignment of clusters of galaxies with their nearest neighbours and between clusters within a supercluster is investigated using simulations of 512^{3} dark matter particles for \LambdaCDM and \tauCDM cosmological models. Strongly…

Astrophysics · Physics 2009-10-31 L. I. Onuora , P. A. Thomas

We study galaxy distributions with Sloan Digital Sky Survey SDSS DR14 data and with simulations searching for variables that can constrain neutrino masses. To be specific, we consider the scenario of three active neutrino eigenstates with…

Cosmology and Nongalactic Astrophysics · Physics 2018-06-05 Bruce Hoeneisen

We present mock JWST observations for more than 250,000 different galaxies from the Astrid simulation with $3 \leq z \leq 6$. The mock observations are made using the BPASS stellar SED model, and a simple dust model. They are then viewed…

Astrophysics of Galaxies · Physics 2025-02-28 Patrick LaChance , Rupert Croft , Yueying Ni , Nianyi Chen , Tiziana Di Matteo , Simeon Bird

Detecting out-of-distribution (OOD) samples are crucial for machine learning models deployed in open-world environments. Classifier-based scores are a standard approach for OOD detection due to their fine-grained detection capability.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-27 Jaewoo Park , Yoon Gyo Jung , Andrew Beng Jin Teoh

We study the alignment of galaxies relative to their local environment in SDSS-DR8 and, using these data, we discuss evolution scenarios for different types of galaxies. We defined a vector field of the direction of anisotropy of the local…

Astrophysics of Galaxies · Physics 2017-02-22 A. Hirv , J. Pelt , E. Saar , E. Tago , A. Tamm , E. Tempel , M. Einasto

Let $G_n$ be a random geometric graph with vertex set $[n]$ based on $n$ i.i.d.\ random vectors $X_1,\ldots,X_n$ drawn from an unknown density $f$ on $\R^d$. An edge $(i,j)$ is present when $\|X_i -X_j\| \le r_n$, for a given threshold…

Machine Learning · Statistics 2023-11-23 Caelan Atamanchuk , Luc Devroye , Gabor Lugosi

We briefly review selected results in astrophysics of neutron stars (NSs) obtained during the last two years, focusing on isolated radioquiet objects. We discuss in some details population synthesis of close-by isolated NSs, spectra of…

Astrophysics · Physics 2009-09-29 Sergei Popov , Roberto Turolla

We investigate the ability of current and third-generation gravitational wave (GW) detectors to determine the delay time distribution (DTD) of binary neutron stars (BNS) through a direct measurement of the BNS merger rate as a function of…

High Energy Astrophysical Phenomena · Physics 2019-06-12 Mohammadtaher Safarzadeh , Edo Berger , Ken K. -Y. Ng , Hsin-Yu Chen , Salvatore Vitale , Chris Whittle , Evan Scannapieco

The Sloan Digital Sky Survey [SDSS] has measured an optical luminosity function for galaxies in 5 bands, finding 1.5 to 2.1 times more luminosity density than previous work. This note compares the SDSS luminosity density to two recent…

Astrophysics · Physics 2009-11-06 Edward L. Wright

Earth Mover's Distance (EMD) is an important similarity measure between two distributions, used in computer vision and many other application domains. However, its exact calculation is computationally and memory intensive, which hinders its…

Computer Vision and Pattern Recognition · Computer Science 2025-05-15 Guangyu Meng , Ruyu Zhou , Liu Liu , Peixian Liang , Fang Liu , Danny Chen , Michael Niemier , X. Sharon Hu

When data is of an extraordinarily large size or physically stored in different locations, the distributed nearest neighbor (NN) classifier is an attractive tool for classification. We propose a novel distributed adaptive NN classifier for…

Machine Learning · Statistics 2023-06-06 Ruiqi Liu , Ganggang Xu , Zuofeng Shang
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