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相关论文: Non-parametric estimation of morphological lopside…

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The light distribution in the disks of many galaxies is non-axisymmetric or `lopsided' with a spatial extent much larger along one half of a galaxy than the other, as in M101. Recent near-IR observations show that lopsidedness is common.…

天体物理学 · 物理学 2009-11-13 Chanda J. Jog , Francoise Combes

Our position inside the Galaxy requires all-sky surveys to reveal its large-scale properties. The zero-level calibration of all-sky surveys differs from standard 'relative' measurements, where a source is measured in respect to its…

天体物理学 · 物理学 2009-11-13 Wolfgang Reich , Patricia Reich

Reducing theoretical uncertainties in Galactic dark matter (DM) searches is an important challenge as several experiments are now delving into the parameter space relevant to popular (particle or not) candidates. Since many DM signal…

星系天体物理 · 物理学 2020-10-20 Thomas Lacroix , Arturo Núñez-Castiñeyra , Martin Stref , Julien Lavalle , Emmanuel Nezri

We investigate how observations of strong lensing can be used to infer cosmological parameters, in particular the equation of state of dark energy. We focus on the growth of the critical lines of lensing clusters with the source redshift as…

宇宙学与河外天体物理 · 物理学 2012-04-03 Britta Zieser , Matthias Bartelmann

Model-independent searches in particle physics aim at completing our knowledge of the universe by looking for new possible particles not predicted by the current theories. Such particles, referred to as signal, are expected to behave as a…

应用统计 · 统计学 2019-05-31 Alessandro Casa , Giovanna Menardi

Searches for unknown physics and decisions between competing astrophysical models to explain data both rely on statistical hypothesis testing. The usual approach in searches for new physical phenomena is based on the statistical Likelihood…

数据分析、统计与概率 · 物理学 2016-02-22 Sara Algeri , Jan Conrad , David A. van Dyk

An avenue for understanding cosmological galaxy formation is to compare morphometric parameters in observations and simulations of galaxy assembly. In this second paper of the ASymba: Asymmetries of HI in SIMBA Galaxies series, we measure…

Structural disturbances, such as galaxy mergers or instabilities, are key candidates for driving galaxy evolution, so it is important to detect and quantify galaxies hosting these disturbances spanning a range of masses, environments, and…

An additive model-assisted nonparametric method is investigated to estimate the finite population totals of massive survey data with the aid of auxiliary information. A class of estimators is proposed to improve the precision of the well…

统计方法学 · 统计学 2019-03-19 Li Wang , Suojin Wang

Measuring the angular clustering of galaxies as a function of redshift is a powerful method for extracting information from the three-dimensional galaxy distribution. The precision of such measurements will dramatically increase with…

宇宙学与河外天体物理 · 物理学 2016-01-27 Franz Elsner , Boris Leistedt , Hiranya V. Peiris

Traditional nonparametric estimation methods often lead to a slow convergence rate in large dimensions and require unrealistically enormous sizes of datasets for reliable conclusions. We develop an approach based on partial derivatives,…

统计方法学 · 统计学 2024-08-20 Xiaowu Dai

Gravitational-wave (GW) observations of binary black-hole (BBH) coalescences are expected to address outstanding questions in astrophysics, cosmology, and fundamental physics. Realizing the full discovery potential of upcoming…

The statistical properties of the ellipticities of galaxy images depend on how galaxies form and evolve, and therefore constrain models of galaxy morphology, which are key to the removal of the intrinsic alignment contamination of…

宇宙学与河外天体物理 · 物理学 2013-05-28 B. Joachimi , E. Semboloni , P. E. Bett , J. Hartlap , S. Hilbert , H. Hoekstra , P. Schneider , T. Schrabback

We suggest a set of morphological measures that we believe can help in quantifying the shapes of two-dimensional cosmological images such as galaxies, clusters, and superclusters of galaxies. The method employs non-parametric morphological…

天体物理学 · 物理学 2009-07-30 Nurur Rahman , Sergei F. Shandarin

Future weak lensing surveys potentially hold the highest statistical power for constraining cosmological parameters compared to other cosmological probes. The statistical power of a weak lensing survey is determined by the sky coverage, the…

宇宙学与河外天体物理 · 物理学 2017-12-05 C. Chang , M. Jarvis , B. Jain , S. M. Kahn , D. Kirkby , A. Connolly , S. Krughoff , E. Peng , J. R. Peterson

We forecast astrophysical and cosmological parameter constraints from synergies between 21 cm intensity mapping and wide field optical galaxy surveys (both spectroscopic and photometric) over $z \sim 0-3$. We focus on the following survey…

宇宙学与河外天体物理 · 物理学 2020-05-27 Hamsa Padmanabhan , Alexandre Refregier , Adam Amara

We present the theoretical and analytical bases of optimal techniques to measure weak gravitational shear from images of galaxies. We first characterize the geometric space of shears and ellipticity, then use this geometric interpretation…

天体物理学 · 物理学 2009-11-06 G. M. Bernstein , M. Jarvis

Galaxy morphology is a fundamental quantity, that is essential not only for the full spectrum of galaxy-evolution studies, but also for a plethora of science in observational cosmology. While a rich literature exists on…

星系天体物理 · 物理学 2020-01-08 Garreth Martin , Sugata Kaviraj , Alex Hocking , Shaun C. Read , James E. Geach

Accurate optical redshifts will be critical for spectral co-adding techniques used to extract detections from below the noise level in ongoing and upcoming surveys for HI, which will extend our current understanding of gas reservoirs in…

宇宙学与河外天体物理 · 物理学 2015-06-16 Natasha Maddox , Kelley M. Hess , S. -L. Blyth , M. J. Jarvis

The lopsidedness of galaxies is a commonly observed phenomenon, and through different studies, it has been observed that nearly 30% of galaxies show this phenomenon. In this work, we study morphological lopsidedness in both stellar and gas…

星系天体物理 · 物理学 2026-04-27 Prerana Biswas , Narendra Nath Patra , Veselina Kalinova