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Kernel-based methods offer a powerful and flexible mathematical framework for addressing histopolation problems. In histopolation, the available input data does not consist of pointwise function samples but of averages taken over intervals…

We set constraints on the dark matter halo mass and concentration of ~22,000 individual galaxies visible both in HI (from the ALFALFA survey) and optical light (from the SDSS). This is achieved by combining two Bayesian models, one for the…

星系天体物理 · 物理学 2024-02-27 Tariq Yasin , Harry Desmond , Julien Devriendt , Adrianne Slyz

Strong gravitational lensing has emerged as a promising approach for probing dark matter models on sub-galactic scales. Recent work has proposed the subhalo effective density slope as a more reliable observable than the commonly used…

宇宙学与河外天体物理 · 物理学 2022-11-08 Gemma Zhang , Siddharth Mishra-Sharma , Cora Dvorkin

For modern large-scale structure survey techniques it has become standard practice to test data analysis pipelines on large suites of mock simulations, a task which is currently prohibitively expensive for full N-body simulations. Instead…

宇宙学与河外天体物理 · 物理学 2018-11-20 Philippe Berger , George Stein

We examine scatter and bias in weak lensing selected clusters, employing both an analytic model of dark matter haloes and numerical mock data of weak lensing cluster surveys. We pay special attention to effects of the diversity of dark…

宇宙学与河外天体物理 · 物理学 2015-06-04 Takashi Hamana , Masamune Oguri , Masato Shirasaki , Masanori Sato

Modelling the distribution of neutral hydrogen (HI) in dark matter halos is important for studying galaxy evolution in the cosmological context. We use a novel approach to infer the HI-dark matter connection at the massive end ($m_{\rm HI}…

星系天体物理 · 物理学 2018-06-12 Niladri Paul , Tirthankar Roy Choudhury , Aseem Paranjape

We present a new wrapper feature selection algorithm for human detection. This algorithm is a hybrid feature selection approach combining the benefits of filter and wrapper methods. It allows the selection of an optimal feature vector that…

计算机视觉与模式识别 · 计算机科学 2025-03-24 Jeonghwan Park , Kang Li , Huiyu Zhou

Sequence classification has numerous applications in various fields. Despite extensive studies in the last decades, many challenges still exist, particularly in pattern-based methods. Existing pattern-based methods measure the…

机器学习 · 计算机科学 2023-10-23 Junjie Dong , Mudi Jiang , Lianyu Hu , Zengyou He

We present a new method to identify large scale filaments and apply it to a cosmological simulation. Using positions of haloes above a given mass as node tracers, we look for filaments between them using the positions and masses of all the…

宇宙学与河外天体物理 · 物理学 2011-02-22 Roberto E. Gonzalez , Nelson E. Padilla

We use numerical simulations to examine the substructure within galactic and cluster mass halos that form within a hierarchical universe. Clusters are easily reproduced with a steep mass spectrum of thousands of substructure clumps that…

天体物理学 · 物理学 2011-08-23 Ben Moore , Sebastiano Ghigna , Fabio Governato , George Lake , Tom Quinn , Joachim Stadel , Paolo Tozzi

The formation of dark-matter halos from small cosmological perturbations generated in the early universe is a highly non-linear process typically modeled through N-body simulations. In this work, we explore the use of deep learning to…

宇宙学与河外天体物理 · 物理学 2026-05-07 Toka Alokda , Cristiano Porciani

Similarity-preserving hashing is a widely-used method for nearest neighbour search in large-scale image retrieval tasks. For most existing hashing methods, an image is first encoded as a vector of hand-engineering visual features, followed…

计算机视觉与模式识别 · 计算机科学 2019-08-17 Hanjiang Lai , Yan Pan , Ye Liu , Shuicheng Yan

We study the application of machine learning techniques for the detection of the astrometric signature of dark matter substructure. In this proof of principle a population of dark matter subhalos in the Milky Way will act as lenses for…

宇宙学与河外天体物理 · 物理学 2022-01-05 Kyriakos Vattis , Michael W. Toomey , Savvas M. Koushiappas

For many analyses in cosmology it is necessary to reconstruct the likely distribution of unobserved fields, such as dark matter or non-luminous baryons, from observed luminous tracers. The dominant approach in cosmology has been to use the…

宇宙学与河外天体物理 · 物理学 2025-12-16 Jordan Krywonos , Yurii Kvasiuk , Matthew C. Johnson , Moritz Münchmeyer

This paper introduces {HINER}, a novel neural representation for compressing HSI and ensuring high-quality downstream tasks on compressed HSI. HINER fully exploits inter-spectral correlations by explicitly encoding of spectral wavelengths…

图像与视频处理 · 电气工程与系统科学 2024-08-01 Junqi Shi , Mingyi Jiang , Ming Lu , Tong Chen , Xun Cao , Zhan Ma

Strong gravitational lensing is a promising way of uncovering the nature of dark matter, by finding perturbations to images that cannot be well accounted for by modeling the lens galaxy without additional structure, be it subhalos (smaller…

宇宙学与河外天体物理 · 物理学 2020-01-29 Ana Diaz Rivero , Cora Dvorkin

We study properties of dark matter halos at high redshifts z=2-10 for a vast range of masses with the emphasis on dwarf halos with masses 10^7-10^9 Msun/h. We find that the density profiles of relaxed dwarf halos are well fitted by the NFW…

天体物理学 · 物理学 2009-11-10 P. Colin , A. Klypin , O. Valenzuela , S. Gottlober

The $n=1$ photon ring is an important probe of black hole (BH) properties and will be resolved by the Black Hole Explorer (BHEX) for the first time. However, extraction of black hole parameters from observations of the $n=1$ subring is not…

高能天体物理现象 · 物理学 2024-11-05 Joseph R. Farah , Jordy Davelaar , Daniel Palumbo , Michael D. Johnson , Jonathan Delgado

Constraining the distribution of small-scale structure in our universe allows us to probe alternatives to the cold dark matter paradigm. Strong gravitational lensing offers a unique window into small dark matter halos ($<10^{10} M_\odot$)…