A5047183311- Gamma-ray bursts and supernovae
- Epilepsy research and treatment
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Astrophysics and Cosmic Phenomena
- Astronomy and Astrophysical Research
- Pulsars and Gravitational Waves Research
- Galaxies: Formation, Evolution, Phenomena
Virtua Voorhees Hospital
2024
Current and future cosmological analyses with Type Ia Supernovae (SNe Ia) face three critical challenges: i) measuring redshifts from the supernova or its host galaxy; ii) classifying SNe without spectra; iii) accounting for correlations between properties of their galaxies. We present here a novel approach that addresses each challenge. In context Dark Energy Survey (DES), we analyze SNIa sample galaxies in redMaGiC galaxy catalog, selection Luminous Red Galaxies. Photo-$z$ estimates these...
This study aimed to analyze the frequency of unexpected subclinical spikes (USCS) in pediatric patients who underwent high-density electroencephalogram (HD-EEG). Of 4481 successful HD-EEG studies, 18.5% (829) were abnormal, and 49.7% these abnormal studies showed SCS, which 64.1% USCS. USCS found be correlated with attention/concentration deficits executive dysfunction, often accompanied by dual psychiatric diagnosis ADHD. MRI revealed findings 32.6% subjects USCS, such as signal or...
Type Ia supernovae (SNe Ia) are used as standardisable candles to measure cosmological distances, but differences remain in their corrected luminosities which display a magnitude step function of host galaxy properties such stellar mass and rest-frame $U-R$ colour. Identifying the cause these steps is key analyses provides insight into SN physics. Here we investigate effects progenitor ages on light curve using galaxy-based forward model that compare Dark Energy Survey 5-year sample. We...