A5101539177- Astronomy and Astrophysical Research
- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
- Galaxies: Formation, Evolution, Phenomena
- Astro and Planetary Science
- Remote Sensing in Agriculture
- Advanced Vision and Imaging
- Astronomical Observations and Instrumentation
- SAS software applications and methods
- Numerical methods for differential equations
- Orbital Angular Momentum in Optics
- Image Retrieval and Classification Techniques
- Astrophysics and Star Formation Studies
- CCD and CMOS Imaging Sensors
- Hydrogen embrittlement and corrosion behaviors in metals
- Access Control and Trust
- Advanced Topics in Algebra
- Image Processing and 3D Reconstruction
- Geophysics and Gravity Measurements
- Laser Design and Applications
- Cryptography and Data Security
- Adaptive optics and wavefront sensing
- Numerical Methods and Algorithms
- Advanced Fluorescence Microscopy Techniques
- Privacy-Preserving Technologies in Data
University Hospital Heidelberg
2023-2024
Heidelberg University
2023
University of Nevada, Reno
2022
Northwestern University
2022
University of Minnesota
2015-2021
University of Geneva
2016-2017
TU Dresden
2017
Dawson College
2014
ABSTRACT To date, no direct detection of Lyman continuum emission has been measured for intermediate-redshift ( <?CDATA $z\sim 1$?> <?MML <mml:math> <mml:mi>z</mml:mi> <mml:mo>∼</mml:mo> <mml:mn>1</mml:mn> </mml:math>?> ) star-forming galaxies. We combine Hubble Space Telescope grism spectroscopy with GALEX UV and ground-based optical imaging to extend the search escaping a large (∼600) sample low-mass $\mathrm{log}(\bar{M})\;\simeq \;$?> <mml:mi>log</mml:mi> <mml:mrow> <mml:mo...
We present the data release paper for Galaxy Zoo: Hubble (GZH) project. This is third phase in a large effort to measure reliable, detailed morphologies of galaxies by using crowdsourced visual classifications colour-composite images. Images GZH were selected from various publicly released Space Telescope legacy programmes conducted with Advanced Camera Surveys, filters that probe rest-frame optical emission out z ∼ 1. The bulk sample have mI814W < 23.5, but goes as faint 26.8 deep images...
Quantifying galaxy morphology is a challenging yet scientifically rewarding task. As the scale of data continues to increase with upcoming surveys, traditional classification methods will struggle handle load. We present solution through an integration visual and automated classifications, preserving best features both human machine. demonstrate effectiveness such system re-analysis classifications collected during Galaxy Zoo 2 (GZ2) project. reprocess top-level question GZ2 decision tree...
Large modern surveys require efficient review of data in order to find transient sources such as supernovae, and distinguish from artefacts noise. Much effort has been put into the development automatic algorithms, but still rely on human targets. This paper presents an integrated system for identification supernovae Pan-STARRS1, combining classifications volunteers participating a citizen science project with those convolutional neural network. The unique aspect this work is deployment,...
Upcoming space-based surveys such as Euclid and WFIRST-AFTA plan to measure Baryonic Acoustic Oscillations (BAOs) in order study dark energy. These will use IR slitless grism spectroscopy redshifts of a large number galaxies over significant redshift range. In this paper, we the WFC3 Infrared Spectroscopic Parallel Survey (WISP) estimate expected Halpha (Ha) emitters observable by these future surveys. WISP is an ongoing HST spectroscopic survey, covering 0.8-1.65micron wavelength range...
Modern cosmological simulations model the universe with increasing sophistication and at higher spatial temporal resolutions. These enhancements permit detailed comparisons between simulation outputs real observational data. Recent projects such as Illustris are capable of producing simulated images that comparable to those obtained from local surveys. This paper tests how well achieves this goal across a diverse population galaxies using visual morphologies derived Galaxy Zoo citizen...
We present a follow-up study to the imaging polarimetry performed by Hayes et. al. 2011 on LAB1 in SSA22 protocluster region. Arguably most well-known Lyman-$\alpha$ "blob", this radio-quiet emission-line nebula likely hosts galaxy which is either undergoing significant star formation or an AGN, both. obtain deep, spatially resolved spectro-polarimetry of Ly$\alpha$ emission and detect integrated linear polarization $9$-$13\%\pm2$-$3\%$ at distance approximately 15 kpc north south peak...
Abstract Giant, star-forming clumps are a common feature prevalent among high-redshift galaxies and play critical role in shaping their chaotic morphologies yet, nature galaxy evolution remains to be fully understood. A majority of the effort study has been focused at high redshifts, local clump studies have often suffered from small sample sizes. In this work, we present an analysis properties universe, for first time, performed with statistically significant sample. With help citizen...
We describe the design, construction, and operation of an apparatus that utilizes a piezoelectric transducer for in-vacuum loading nanoparticles into optical trap use in levitated optomechanics experiments. In contrast to commonly used nebulizer-based trap-loading methods generate aerosolized liquid droplets containing nanoparticles, method produces dry aerosols both spherical high-aspect ratio particles ranging size by approximately two orders magnitude. The device has been shown...
Abstract Funding Acknowledgements Type of funding sources: Private company. Main source(s): Medtronic Background and Objective ECG features left bundle branch (LBB) block (LBBB) can be observed in up to 20–30 % patients that suffer from heart failure with reduced ejection fraction. The resulting mechanical intraventricular asynchrony contributes the worsening ventricular hemodynamics has a relevant impact on prognosis affected patients. fact we still cannot accurately predict which LBBB will...
Abstract LSST and Euclid must address the daunting challenge of analyzing unprecedented volumes imaging spectroscopic data that these next-generation instruments will generate. A promising approach to overcoming this involves rapid, automatic image processing using appropriately trained Deep Learning (DL) algorithms. However, reliable application DL requires large, accurately labeled samples training data. Galaxy Zoo Express (GZX) is a recent experiment simulated Bayesian inference...
Differential privacy mechanisms that also make reconstruction of the data impossible come at a cost - decrease in utility. In this paper, we tackle problem by designing private release mechanism makes original and preserves utility for wide range machine learning algorithms. We do so combining Johnson-Lindenstrauss (JL) transform with noise generated from Laplace distribution. While JL can itself provide guarantees \cite{blocki2012johnson} impossible, not rely on its differential properties...
Abstract Background In recent years, the two-pore domain potassium channel TASK-1 has been identified to play an important role in pathophysiology of atrial fibrillation (AF). cardiac tissue, is almost exclusively expressed atria and significantly upregulated AF patients. Moreover, it characterized as a key player action potential (AP) shortening observed during AF, making promising target for antiarrhythmic therapy. However, underlying transcriptional mechanisms responsible upregulation are...