A5022522340- Galaxies: Formation, Evolution, Phenomena
- Gamma-ray bursts and supernovae
- Astronomy and Astrophysical Research
- Adaptive optics and wavefront sensing
- Astronomical Observations and Instrumentation
- Cosmology and Gravitation Theories
- Remote Sensing in Agriculture
- Astrophysics and Cosmic Phenomena
- Gaussian Processes and Bayesian Inference
- Radio Astronomy Observations and Technology
- Astrophysics and Star Formation Studies
- Planetary Science and Exploration
- AI in cancer detection
- Stellar, planetary, and galactic studies
- Scientific Research and Discoveries
- Computational Physics and Python Applications
- Advanced Statistical Methods and Models
- Impact of Light on Environment and Health
- Time Series Analysis and Forecasting
- Space exploration and regulation
- Digital Radiography and Breast Imaging
- Advanced Image Processing Techniques
- Relativity and Gravitational Theory
- Advanced Vision and Imaging
- Leaf Properties and Growth Measurement
Allen Institute
2023
Roswell Park Comprehensive Cancer Center
2013-2022
University of Washington
2016-2021
Texas A&M University
2021
City University of Seattle
2020
Gemini South Observatory
2018
University of Bonn
2014-2017
University of California, Davis
2012-2014
University of Dundee
2008
We present cosmological parameter constraints from a tomographic weak gravitational lensing analysis of ~450deg$^2$ imaging data the Kilo Degree Survey (KiDS). For flat $\Lambda$CDM cosmology with prior on $H_0$ that encompasses most recent direct measurements, we find $S_8\equiv\sigma_8\sqrt{\Omega_{\rm m}/0.3}=0.745\pm0.039$. This result is in good agreement other low redshift probes large scale structure, including cosmic shear results, along pre-Planck microwave background constraints. A...
We present a tomographic cosmic shear analysis of the Kilo-Degree Survey (KiDS) combined with VISTA Infrared Galaxy (VIKING). This is first time that full optical to near-infrared data set has been used for wide-field cosmological weak lensing experiment. unprecedented data, spanning $450~$deg$^2$, allows us improve significantly estimation photometric redshifts, such we are able include robustly higher-redshift sources measurement, and - most importantly solidify our knowledge redshift...
Abstract This paper introduces cosmoDC2, a large synthetic galaxy catalog designed to support precision dark energy science with the Large Synoptic Survey Telescope (LSST). CosmoDC2 is starting point for second data challenge (DC2) carried out by LSST Dark Energy Science Collaboration (LSST DESC). The based on trillion-particle, (4.225 Gpc) 3 box cosmological N -body simulation, Outer Rim run. It covers 440 deg 2 of sky area redshift z = and matches expected number densities from...
We present an HST/ACS weak gravitational lensing analysis of 13 massive high-redshift (z_median=0.88) galaxy clusters discovered in the South Pole Telescope (SPT) Sunyaev-Zel'dovich Survey. This study is part a larger campaign that aims to robustly calibrate mass-observable scaling relations over wide range redshift enable improved cosmological constraints from SPT cluster sample. introduce new strategies ensure systematics do not degrade on significantly. First, we efficiently remove...
Abstract We describe the simulated sky survey underlying second data challenge (DC2) carried out in preparation for analysis of Vera C. Rubin Observatory Legacy Survey Space and Time (LSST) by LSST Dark Energy Science Collaboration (LSST DESC). Significant connections across multiple science domains will be a hallmark LSST; DC2 program represents unique modeling effort that stresses this interconnectivity way has not been attempted before. This encompasses full end-to-end approach: starting...
The detection of novel stimuli is critical to learn and survive in a dynamic environment. Though powerfully affect brain activity, their impact on specific cell types circuits not well understood. Disinhibition one candidate mechanism for novelty-induced enhancements activity. Here we characterize the stimulus novelty disinhibitory circuit components using longitudinal 2-photon calcium imaging Vip, Sst, excitatory populations mouse visual cortex. Mice behavioral task with that become highly...
Determining accurate redshift distributions for very large samples of objects has become increasingly important in cosmology. We investigate the impact extending cross-correlation based distribution recovery methods to include small scale clustering information. The major concern such work is ability disentangle amplitude underlying from influence evolving galaxy bias. Using multiple simulations covering a variety bias evolution scenarios, we demonstrate reliable recoveries using linear...
Abstract Many scientific investigations of photometric galaxy surveys require redshift estimates, whose uncertainty properties are best encapsulated by (photo-z) posterior probability density functions (PDFs). A plethora photo-z PDF estimation methodologies abound, producing discrepant results with no consensus on a preferred approach. We present the comprehensive experiment comparing twelve algorithms applied to mock data produced forLarge Synoptic Survey Telescope The Rubin Observatory...
Measuring cosmic shear in wide-field imaging surveys requires accurate knowledge of the redshift distribution all sources. The clustering-redshift technique exploits angular cross-correlation a target galaxy sample with unknown redshifts and reference known redshifts. It represents an attractive alternative to colour-based methods calibration. Here we test performance such clustering measurements using mock catalogues that resemble Kilo-Degree Survey (KiDS). These mocks are created from MICE...
We investigate the potential and accuracy of clustering-based redshift estimation using method proposed by M\'enard et al. (2013). This technique enables inference distributions from measurements spatial clustering arbitrary sources, a set reference objects for which redshifts are known. apply it to sample spectroscopic galaxies Sloan Digital Sky Survey show that, after carefully controlling sampling efficiency over sky, we can estimate with high accuracy. Probing full colour space SDSS...
We present The-wiZZ, an open source and user-friendly software for estimating the redshift distributions of photometric galaxies with unknown redshifts by spatially cross-correlating them against a reference sample known redshifts. The main benefit The-wiZZ is in separating angular pair finding correlation estimation from computation output clustering allowing anyone to create their without intervention "expert". It allows end user given survey select any sub-sample redshifts, match this...
Cross-correlating the Planck High Frequency Instrument (HFI) maps against quasars from Sloan Digital Sky Survey (SDSS) DR7, we estimate intensity distribution of Cosmic Infrared Background (CIB) over redshift range 0 < z 5.We detect redshift-dependent spatial cross-correlations between two datasets using 857, 545 and 353 GHz channels obtain upper limits at 217 consistent with expectations. At all frequencies detectable signal infer a peaking around ~ 1.2 find recovered spectrum to be...
Gravitational lensing magnification is measured with a significance of 9.7σ on large sample galaxy clusters in the Canada–France–Hawaii Telescope Lensing Survey (CFHTLenS). This survey covers ∼154 deg2 and contains over 18 000 cluster candidates at redshifts 0.2 ≤ z 0.9, detected using 3D-Matched Filter cluster-finder Milkeraitis et al. We fit composite-NFW models to ensemble, accounting for miscentring, source-lens redshift overlap, as well nearby structure (the two-halo term), recover mass...
We develop a statistical estimator to infer the redshift probability distribution of photometric sample galaxies from its angular cross-correlation in bins with an overlapping spectroscopic sample. This is minimum-variance weighted quadratic function data: estimator. extends and modifies methodology presented by McQuinn & White. The derived source degenerate galaxy bias, which must be constrained via additional assumptions. apply this constrain distributions Kilo-Degree imaging survey...
Using about 450 000 galaxies in the Deep Lens Survey, we present a detection of gravitational magnification z > 4 Lyman-break by massive foreground with 0.4 < 1.0, grouped redshift. The signal is detected at signal-to-noise ratio greater than 20, and rigorous checks confirm that it not contaminated any galaxy sample overlap inferred mass profiles are consistent earlier lensing analyses lower We then explore tomographic lens splitting our into seven redshift bins. Combining...
We apply clustering-based redshift inference to all extended sources from the Sloan Digital Sky Survey photometric catalogue, down magnitude r = 22. map relationships between colours and redshift, without assumption of sources' spectral energy distributions (SEDs). identify locate star-forming quiescent galaxies, active galactic nuclei, as well colour changes due features, such 4000 Å break, redshifting through specific filters. Our mapping is globally in good agreement with colour–redshift...
We describe a statistical model to estimate the covariance matrix of matter tracer two-point correlation functions with cosmological simulations. Assuming fixed number simulation runs, we how build `statistical emulator' function over specified range input parameters. Because runs different models help constrain form covariance, predict that cosmology-dependent may be estimated comparable simulations as would needed for cosmology. Our framework is necessary first step in planning campaign...
We present an investigation into the effects of survey systematics such as varying depth, point spread function size, and extinction on galaxy selection correlation in photometric, multi-epoch, wide area surveys. take Canada–France–Hawaii Telescope Lensing Survey (CFHTLenS) example. Variations due to are found cause density fluctuations up 10 per cent for some small fraction most redshift slices much 50 extreme cases faint high-redshift samples. This results correlations galaxies against...
We present a weak gravitational lensing analysis of 815 square degree $i$-band imaging from the Kilo-Degree Survey (KiDS-$i$-800). In contrast to deep $r$-band observations, which take priority during excellent seeing conditions and form primary KiDS dataset (KiDS-$r$-450), complementary yet shallower KiDS-$i$-800 spans wide range observing conditions. The overlapping KiDS-$r$-450 therefore provides unique opportunity assess robustness measurements. our analysis, we introduce two new `null'...
We present a data-driven method to infer the redshift distribution of an arbitrary dataset based on spatial cross-correlation with reference population and we apply it various datasets across electromagnetic spectrum show its potential limitations. Our approach advocates use clustering measurements all available scales, in contrast previous works focusing only linear scales. also how accuracy can be enhanced by optimally sampling within photometric space rather than applying estimator...
Abstract Accurate photometric redshift (photo- z ) estimates are essential to the cosmological science goals of Vera C. Rubin Observatory Legacy Survey Space and Time (LSST). In this work, we use simulated photometry for mock galaxy catalogs explore how LSST photo- can be improved by addition near-infrared (NIR) and/or ultraviolet ( UV from Euclid, Wide-Field InfrarRed Telescope (WFIRST), Cosmological Advanced Optical Research (CASTOR) space telescopes. Generally, find that deeper optical...
Large simulation efforts are required to provide synthetic galaxy catalogs for ongoing and upcoming cosmology surveys. These extragalactic being used many diverse purposes covering a wide range of scientific topics. In order be useful, they must offer realistically complex information about the galaxies contain. Hence, it is critical implement rigorous validation procedure that ensures simulated properties faithfully capture observations delivers an assessment level realism attained by...
We examine the projected correlation of galaxies with mass from small scales (<few hundred kpc) where individual dark matter halos dominate, out to 15 Mpc correlated large-scale structure dominates. investigate these profiles as a function galaxy luminosity and redshift. Selecting 0.8 million in Deep Lens Survey, we use photometric redshifts stacked weak gravitational lensing shear tomography radial 1 degree centers foreground galaxies. detect density multiple at radii larger than virial...
The Large Synoptic Survey Telescope (LSST) is an ambitious astronomical survey with a similarly Data Management component. for LSST includes processing on both nightly and yearly cadences to generate transient alerts, deep catalogs of the static sky, forced photometry light-curves billions objects at hundreds epochs, spanning least decade. algorithms running in these pipelines are individually sophisticated interact subtle ways. This paper provides overview those pipelines, focusing more...