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Related papers: The DECam Ecliptic Exploration Project (DEEP) III:…

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Deep optical and near-infrared imaging of the entire Galactic plane is essential for understanding our Galaxy's stars, gas, and dust. The second data release of the DECam Plane Survey (DECaPS2) extends the five-band optical and…

Online augmentation of an oblique aerial image sequence with structural information is an essential aspect in the process of 3D scene interpretation and analysis. One key aspect in this is the efficient dense image matching and depth…

Computer Vision and Pattern Recognition · Computer Science 2019-09-24 Boitumelo Ruf , Thomas Pollok , Martin Weinmann

We propose Deep Estimators of Features (DEFs), a learning-based framework for predicting sharp geometric features in sampled 3D shapes. Differently from existing data-driven methods, which reduce this problem to feature classification, we…

Computer Vision and Pattern Recognition · Computer Science 2022-05-27 Albert Matveev , Ruslan Rakhimov , Alexey Artemov , Gleb Bobrovskikh , Vage Egiazarian , Emil Bogomolov , Daniele Panozzo , Denis Zorin , Evgeny Burnaev

Photometric wide-field surveys are imaging the sky in unprecedented detail. These surveys face a significant challenge in efficiently estimating galactic photometric redshifts while accurately quantifying associated uncertainties. In this…

We explore the ability of weak lensing surveys to locate massive clusters. We use both analytic models of dark matter halos and mock weak lensing surveys generated from a large cosmological N-body simulation. The analytic models describe…

Astrophysics · Physics 2009-11-10 Takashi Hamana , Masahiro Takada , Naoki Yoshida

Depth perception models are typically trained on non-interactive datasets with predefined camera trajectories. However, this often introduces systematic biases into the learning process correlated to specific camera paths chosen during data…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Marvin Chancán , Alex Wong , Ian Abraham

The Dark Energy Survey (DES) is a next generation optical survey aimed at measuring the expansion history of the universe using four probes: weak gravitational lensing, galaxy cluster counts, baryon acoustic oscillations, and Type Ia…

When a posterior peaks in unexpected regions of parameter space, new physics has either been discovered, or a bias has not been identified yet. To tell these two cases apart is of paramount importance. We therefore present a method to…

Cosmology and Nongalactic Astrophysics · Physics 2019-09-04 Elena Sellentin , Jean-Luc Starck

Using images taken with the Dark Energy Camera (DECam), the first extensive survey of low mass and substellar objects is made in the 15-20 Myr Upper Centaurus Lupus (UCL) and Lower Centaurus Crux (LCC) subgroups of the Scorpius Centaurus OB…

The DEEP2/DEIMOS redshift survey, which will begin observing in the Spring of 2002, will gather high quality spectra on ~60000 galaxies in order to study the evolution of the properties and large scale clustering of galaxies at z~1. The…

Astrophysics · Physics 2007-05-23 Christian Marinoni , Marc Davis , Alison L. Coil , Douglas Finkbeiner

Recent camera-based 3D object detection is limited by the precision of transforming from image to 3D feature spaces, as well as the accuracy of object localization within the 3D space. This paper aims to address such a fundamental problem…

Computer Vision and Pattern Recognition · Computer Science 2024-02-08 Chaoqun Wang , Yiran Qin , Zijian Kang , Ningning Ma , Ruimao Zhang

Shear peak statistics has gained a lot of attention recently as a practical alternative to the two point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES)…

We analyze the Dark Energy Survey (DES) Year 3 data using predictions from the Effective Field Theory of Large-Scale Structure (EFTofLSS). Specifically, we fit three two-point observables (3$\times$2pt), galaxy clustering, galaxy-galaxy…

Cosmology and Nongalactic Astrophysics · Physics 2025-11-07 Guido D'Amico , Alexandre Refregier , Leonardo Senatore , Pierre Zhang

We design an efficient data structure for computing a suitably defined approximate depth of any query point in the arrangement $\mathcal{A}(S)$ of a collection $S$ of $n$ halfplanes or triangles in the plane or of halfspaces or simplices in…

Computational Geometry · Computer Science 2020-06-23 Dror Aiger , Haim Kaplan , Micha Sharir

We present a new method of DEEM, the direct energy encircling method, for characterising the performance of fibres in most astronomical spectroscopic applications. It's a versatile platform to measure focal ratio degradation (FRD),…

Instrumentation and Methods for Astrophysics · Physics 2019-12-25 Yunxiang Yan , Qi Yan , Gang Wang , Weimin Sun , A-Li Luo , Zhenyu Ma , Qiong Zhang , Jian Li , Shuqing Wang

To prepare for the upcoming Legacy Survey of Space and Time, we develop methods for quantifying the selection function of a wide-field survey as a function of all six orbital parameters and absolute magnitude. We perform a HelioLinC3D…

Earth and Planetary Astrophysics · Physics 2024-12-03 Jacob A. Kurlander , Matthew J. Holman , Pedro H. Bernardinelli , Mario Juric , Aren N. Heinze , Matthew J. Payne

The Deep Ecliptic Survey (DES) discovered hundreds of Kuiper Belt objects from 1998-2005. Follow-up observations yielded 304 objects with good dynamical classifications (Classical, Scattered, Centaur, or 16 mean-motion resonances with…

Earth and Planetary Astrophysics · Physics 2015-06-17 E. R. Adams , A. A. S. Gulbis , J. L. Elliot , S. D. Benecchi , M. W. Buie , D. E. Trilling , L. H. Wasserman