A5080835150- Galaxies: Formation, Evolution, Phenomena
- Astronomy and Astrophysical Research
- Astrophysics and Cosmic Phenomena
- Astrophysical Phenomena and Observations
- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Retinal Development and Disorders
- Real-time simulation and control systems
- Radio Astronomy Observations and Technology
- Photoreceptor and optogenetics research
- Gamma-ray bursts and supernovae
- Astrophysics and Star Formation Studies
- Particle accelerators and beam dynamics
- Neurological Disease Mechanisms and Treatments
- Black Holes and Theoretical Physics
- Integrated Circuits and Semiconductor Failure Analysis
- Education Methods and Practices
- Advanced Data Storage Technologies
- Glaucoma and retinal disorders
- demographic modeling and climate adaptation
- Neuroscience and Neuropharmacology Research
- Relativity and Gravitational Theory
- Cosmology and Gravitation Theories
- Adaptive optics and wavefront sensing
- Particle Accelerators and Free-Electron Lasers
Rutgers, The State University of New Jersey
2022-2023
Texas A&M University
2018-2022
Northwestern University
2022
Mitchell Institute
2018
University of California Davis Medical Center
2017
University of California, Davis
2014-2015
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4,233 simulations, 2,049 N-body 2,184 state-of-the-art that sample a vast volume in parameter space. In this paper we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogues, power...
Abstract Active galactic nuclei (AGNs) feedback models are generally calibrated to reproduce galaxy observables such as the stellar mass function and bimodality in colors. We use variations of AGN implementations IllustrisTNG (TNG) Simba cosmological hydrodynamic simulations show that low-redshift Ly α forest can provide constraints on impact feedback. TNG overpredicts number density absorbers at column densities N HI < 10 14 cm −2 compared data from Cosmic Origins Spectrograph (in...
Abstract We explore the role of galactic feedback on low-redshift Ly α (Ly ) forest ( z ≲ 2) statistics and its potential to alter thermal state intergalactic medium. Using Cosmology Astrophysics with Machine Learning Simulations (CAMELS) suite, we variations AGN stellar models in IllustrisTNG Simba subgrid models. find that both play a setting column density distribution function (CDD) Doppler width b -value) distribution. The jet mode is able efficiently transport energy out diffuse IGM,...
We study the sensitivity of $z=0.1$ Lyman-$\alpha$ Forest observables, such as column density distribution function (CDD), flux PDF, power spectrum, and line width distribution, to sub-grid models active galactic nuclei (AGN) feedback using Illustris IllustrisTNG (TNG) cosmological simulations. The two simulations share an identical Ultraviolet Background (UVB) prescription similar parameters, but TNG features entirely reworked AGN model. Due changes in radio mode model, original have a...
Abstract We study the effects of active galactic nuclei (AGN) feedback on Ly α forest 1D flux power spectrum (P1D). Using Simba cosmological-hydrodynamic simulations, we examine impact that adding different AGN modes has predicted P1D. find that, for , is most dramatic at lower redshifts ( z < 1) and jet plays significant role in altering The can be seen across a large range wavenumbers (1.5 × 10 −3 k −1 s km ) changing ionization state hydrogen IGM through heating. also alter thermal...
Observations of massive galaxies at low redshift have revealed approximately linear scaling relations between the mass a supermassive black hole (SMBH) and properties its host galaxy. How these evolve with whether they extend to lower-mass however remain open questions. Recent galaxy formation simulations predict delayed, or "two-phase", growth SMBHs: slow, highly intermittent BH due repeated gas ejection by stellar feedback in low-mass galaxies, followed more sustained accretion that...
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4,233 simulations, 2,049 N-body 2,184 state-of-the-art that sample a vast volume in parameter space. In this paper we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogues, power...
We explore the role of galactic feedback on low redshift Lyman-$\alpha$ (Ly$\alpha$)~forest ($z \lesssim 2$) statistics and its potential to alter thermal state intergalactic medium. Using Cosmology Astrophysics with Machine Learning Simulations (CAMELS) suite, we variations AGN stellar models in IllustrisTNG Simba sub-grid models. find that both play a setting Ly$\alpha$ forest column density distribution function (CDD) Doppler width ($b$-value) distribution. The jet mode is able...
Key points The early receptor potential (ERP) of the mouse electroretinogram (ERG) was measured in wild‐type (WT) mice, mice ( Opn1sw −/− ) that lack S‐cone opsin and overexpress M‐cone opsin, heterozygous for retinal pigment epithelium isomerase Rpe65. amplitude ERP saturated exponentially with flash intensity. In WT ∼1000 μV, about 20% larger than ERG a‐wave. 13% overexpressing M‐opsin indicating 26% these experiments arises from M‐opsin. After complete bleaching, recovered two phases, a...
ABSTRACT Known as the ‘Missing Baryon Problem’, about one-third of baryons in local universe remain unaccounted for. The missing are thought to reside warm–hot intergalactic medium (WHIM) cosmic web filaments, which challenging detect. Recent Chandra X-ray observations used a novel stacking analysis and detected an O vii absorption line towards sightline luminous quasar, hinting that may WHIM. To explore how properties depend on feedback physics, we compare observational results with...
Abstract The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4233 simulations, 2049 N -body 2184 state-of-the-art that sample a vast volume in parameter space. In this paper, we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogs,...
Abstract Using the P rospector spectral energy distribution (SED) fitting code, we analyze properties of 19 extreme emission-line galaxies (EELGs) identified in bluest composite SED zfourge survey at 2.5 ≤ z 4. includes a physical model for nebular emission and returns probability distributions stellar mass, metallicity, dust attenuation, nonparametric star formation history (SFH). The EELGs show evidence starburst most recent 50 Myr, with median EELG having specific rate (sSFR) 4.6 Gyr −1...
Active galactic nuclei (AGN) feedback models are generally calibrated to reproduce galaxy observables such as the stellar mass function and bimodality in colors. We use variations of AGN implementations IllustrisTNG (TNG) Simba cosmological hydrodynamic simulations show that low redshift Lyman-$α$ forest can provide constraints on impact feedback. TNG over-predicts number density absorbers at column densities $N_{\rm HI} < 10^{14}$ cm$^{-2}$ compared data from Cosmic Origins Spectrograph...
We study the effects of AGN feedback on Lyman-$\alpha$ forest 1D flux power spectrum (P1D). Using Simba cosmological-hydrodynamic simulations, we examine impact that adding different modes has predicted P1D. find that, for Simba, is most dramatic at lower redshifts ($z<1$) and jet plays significant role in altering The can be seen across a large range wavenumbers ($1.5\times10^{-3}<k<10^{-1}$ s/km) changing ionization state hydrogen IGM through heating. also alter thermal evolution thermally...
Purpose: To investigate the topographic changes of dark-adapted multifocal electroretinogram (mfERG) across adulthood in central retina and compare topography between macular versus extramacular, nasal temporal, inferior superior retinal areas. Methods: Sixty-five subjects (18–88 years) received a comprehensive dilated eye examination to ensure health their were tested with mfERG protocol using 61-hexagon pattern. The lens absorption each subject was also estimated heterochromatic flicker...
Abstract The Ly α forest has received attention recently as a constraint for galactic feedback. In particular, different active nucleus (AGN) feedback models have been shown to varying effects on the forest. Some show minimal effect, while others dramatic that may be observable given current data. Out of various statistics, 1D transmitted flux power spectrum (P1D) most potential in its ability distinguish between models. this work we analyze AGN jets Simba simulation P1D. We specifically...
Known as the "Missing Baryon Problem", about one-third of baryons in local universe remain unaccounted for. The missing are thought to reside warm-hot intergalactic medium (WHIM) cosmic web filaments, which challenging detect. Recent Chandra X-ray observations used a novel stacking analysis and detected an OVII absorption line toward sightline luminous quasar, hinting that may WHIM. To explore how properties depend on feedback physics, we compare observational results with predictions...