A5077908437- Gamma-ray bursts and supernovae
- Astronomical Observations and Instrumentation
- Astronomy and Astrophysical Research
- Galaxies: Formation, Evolution, Phenomena
- Stellar, planetary, and galactic studies
- Adaptive optics and wavefront sensing
- Scientific Research and Discoveries
- Spectroscopy and Chemometric Analyses
- Time Series Analysis and Forecasting
- Statistical and numerical algorithms
- Astrophysics and Cosmic Phenomena
- History and Developments in Astronomy
- Silicon and Solar Cell Technologies
- Historical Geography and Cartography
- Geophysics and Gravity Measurements
- Advanced Mathematical Theories and Applications
- Dark Matter and Cosmic Phenomena
- Isotope Analysis in Ecology
- solar cell performance optimization
- Computational Physics and Python Applications
- SAS software applications and methods
- Optical Systems and Laser Technology
- History of Science and Medicine
- Functional Brain Connectivity Studies
- Optics and Image Analysis
Canadian Institute for Theoretical Astrophysics
2017-2023
University of Toronto
2017-2023
University of Delaware
2020-2022
Drexel University
2014-2018
Pennsylvania State University
2018
Q-Cells (Germany)
2011-2014
Gesundheitszentrum Bitterfeld
2011
We present reverberation mapping results from the first year of combined spectroscopic and photometric observations Sloan Digital Sky Survey Reverberation Mapping Project. successfully recover time delays between $g+i$-band emission broad H$\beta$ line for a total 44 quasars, H$\alpha$ in 18 quasars. Time are computed using JAVELIN CREAM software traditional interpolated cross-correlation function (ICCF): Using well defined criteria, we report measurements 32 13 lags with JAVELIN, 42 17...
The Sloan Digital Sky Survey Reverberation Mapping project (SDSS-RM) is a dedicated multi-object RM experiment that has spectroscopically monitored sample of 849 broad-line quasars in single 7 deg$^2$ field with the SDSS-III BOSS spectrograph. quasar flux-limited to i_psf=21.7 mag, and covers redshift range 0.1<z<4.5. Optical spectroscopy was performed during 2014 Jan-Jul dark/grey time, an average cadence ~4 days, totaling more than 30 epochs. Supporting photometric monitoring g i bands...
The Large Synoptic Survey Telescope is designed to provide an unprecedented optical imaging dataset that will support investigations of our Solar System, Galaxy and Universe, across half the sky over ten years repeated observation. However, exactly how LSST observations be taken (the observing strategy or "cadence") not yet finalized. In this dynamically-evolving community white paper, we explore detailed performance anticipated science expected depend on small changes strategy. Using...
Abstract Next-generation surveys like the Legacy Survey of Space and Time (LSST) on Vera C. Rubin Observatory (Rubin) will generate orders magnitude more discoveries transients variable stars than previous surveys. To prepare for this data deluge, we developed Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC), a competition that aimed to catalyze development robust classifiers under LSST-like conditions nonrepresentative training set large photometric test...
We conduct a pilot investigation to determine the optimal combination of color and variability information identify quasars in current future multi-epoch optical surveys. use Bayesian quasar selection algorithm 35,820 type 1 candidates 239 field Sloan Digital Sky Survey (SDSS) Stripe 82, using photometry variability. Color analysis is performed on 5-band single- SDSS depth From these data, parameters are calculated by fitting structure function each object band with power-law model 10...
We identify 885,503 type 1 quasar candidates to i<22 using the combination of optical and mid-IR photometry. Optical photometry is taken from Sloan Digital Sky Survey-III: Baryon Oscillation Spectroscopic Survey (SDSS-III/BOSS), while comes a data Wide-Field Infrared Explorer (WISE) "ALLWISE" release several large-area Spitzer Space Telescope fields. Selection based on Bayesian kernel density algorithm with training sample 157,701 spectroscopically-confirmed type-1 quasars both data. Of...
We describe the simulated data sample for "Photometric LSST Astronomical Time Series Classification Challenge" (PLAsTiCC), a publicly available challenge to classify transient and variable events that will be observed by Large Synoptic Survey Telescope (LSST), new facility expected start in early 2020s. The was hosted Kaggle, ran from 2018 September 28 December 17, included 1,094 teams competing prizes. Here we provide details of 18 source models, which were not revealed until after...
The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) is an open data challenge to classify simulated astronomical time-series in preparation for observations from the Large Synoptic Survey Telescope (LSST), which will achieve first light 2019 and commence its 10-year main survey 2022. revolutionize our understanding of changing sky, discovering measuring millions time-varying objects. In this challenge, we pose question: how well can objects sky that vary...
We conduct a pilot investigation to determine the optimal combination of color and variability information identify quasars in current future multi-epoch optical surveys. use Bayesian quasar selection algorithm (Richards et al. 2004) 35,820 type 1 candidates 239 square degree field Sloan Digital Sky Survey (SDSS) Stripe 82, using photometry variability. Color analysis is performed on 5-band single- SDSS depth r ~22.4. From these data, parameters are calculated by fitting structure function...
Classification of transient and variable light curves is an essential step in using astronomical observations to develop understanding their underlying physical processes. However, upcoming deep photometric surveys, including the Large Synoptic Survey Telescope (LSST), will produce a deluge low signal-to-noise data for which traditional labeling procedures are inappropriate. Probabilistic classification more appropriate but incompatible with metrics used on deterministic classifications....
Summary form only given. In the ALBA-II project, Q-Cells SE and ISFH are developing high-efficiency emitter-wrap-through (EWT) solar cells on n-type silicon wafers. N-type grown by Czochralsky method (Cz) forms basis of this cell development as it offers high charge carrier lifetimes. The EWT concept nevertheless does not impose same strict requirement onto bulk material front surface passivation quality than interdigitated back-contact back-junction (IBC-BJ) concepts. Thus, relaxed our...
Abstract We investigate how measurements of differential chromatic refraction might influence choices for survey strategy in the Legacy Survey Space and Time.
We investigate the wafer-thickness dependence of double-side contacted rear junction n-type solar cells, theoretically by PC1D simulations and experimentally. To get correct input parameters for PC1D, we first fit simulation to a cell fabrication complete ingot. The simulated performance thin cells is mainly influenced short circuit current Jsc. For < 100 μm, light trapping becomes challenging causes steep decline in This Jsc loss can also be seen an IQE drop at long wavelengths fabricated...