A5019363495- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Gamma-ray bursts and supernovae
- Astronomy and Astrophysical Research
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Galaxies: Formation, Evolution, Phenomena
- Astrophysics and Cosmic Phenomena
- Particle Accelerators and Free-Electron Lasers
- Stellar, planetary, and galactic studies
- Cosmology and Gravitation Theories
- Physics of Superconductivity and Magnetism
- Black Holes and Theoretical Physics
- Computational Physics and Python Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Medical Imaging Techniques and Applications
- Neutrino Physics Research
- Nuclear physics research studies
- Pulsars and Gravitational Waves Research
- Theoretical and Computational Physics
- Geophysics and Gravity Measurements
- Atomic and Subatomic Physics Research
- Superconducting Materials and Applications
- Adaptive optics and wavefront sensing
Argonne National Laboratory
2015-2024
Ludwig-Maximilians-Universität München
2024
Lancaster University
2024
Centre National de la Recherche Scientifique
2024
University of Zurich
2024
American Public University System
2024
Oak Ridge National Laboratory
2024
Texas A&M University
2024
Stanford University
1980-2024
Aix-Marseille Université
2024
Abstract We present cosmological constraints from the sample of Type Ia supernovae (SNe Ia) discovered and measured during full 5 yr Dark Energy Survey (DES) SN program. In contrast to most previous samples, in which SNe are classified based on their spectra, we classify DES using a machine learning algorithm applied light curves four photometric bands. Spectroscopic redshifts acquired dedicated follow-up survey host galaxies. After accounting for likelihood each being an Ia, find 1635...
We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during full five years Dark Energy Survey (DES) Supernova Program. In contrast to most previous samples, in which SN are classified based on their spectra, we classify DES SNe using a machine learning algorithm applied light curves four photometric bands. Spectroscopic redshifts acquired dedicated follow-up survey host galaxies. After accounting for likelihood each being Ia, find 1635 redshift range...
We present an analysis of supernova light curves simulated for the upcoming Dark Energy Survey (DES) search. The simulations employ a code suite that generates and fits realistic in order to obtain distance modulus/redshift pairs are passed cosmology fitter. investigated several different survey strategies including field selection, selection biases, photometric redshift measurements. Using results this study, we chose 30 deg2 search area griz filter set. forecast (1) will provide...
We present the first cosmological parameter constraints using measurements of type Ia supernovae (SNe Ia) from Dark Energy Survey Supernova Program (DES-SN). The analysis uses a subsample 207 spectroscopically confirmed SNe three years DES-SN, combined with low-redshift sample 122 literature. Our "DES-SN3YR" result these 329 is based on series companion analyses and improvements covering SN discovery, spectroscopic selection, photometry, calibration, distance bias corrections, evaluation...
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...
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...
We present the full Hubble diagram of photometrically-classified Type Ia supernovae (SNe Ia) from Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts 7,000 host galaxies. Based on light-curve quality, we select 1635 photometrically-identified SNe with redshift 0.10$< z <$1.13, which is largest sample any single survey increases number known $z>0.5$ by a factor five. In companion paper, cosmological results...
Abstract We present the full Hubble diagram of photometrically classified Type Ia supernovae (SNe Ia) from Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts 7000 host galaxies. Based on light-curve quality, we select 1635 identified SNe with redshift 0.10 < z 1.13, which is largest sample any single survey increases number known > 0.5 by a factor 5. In companion paper, cosmological results combined 194...
We present results for the first three years of OzDES, a six year programme to obtain redshifts objects in Dark Energy Survey (DES) supernova fields using 2dF fibre positioner and AAOmega spectrograph on Anglo-Australian Telescope. OzDES is multi-object spectroscopic survey targeting multiple types targets at epochs over multiyear baseline one surveys dynamically include transients into target list soon after their discovery. At end years, has spectroscopically confirmed almost 100...
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...
Abstract We present griz photometric light curves for the full 5 yr of Dark Energy Survey Supernova (DES-SN) program, obtained with both forced point-spread function photometry on difference images ( DiffImg ) performed during survey operations, and scene modelling (SMP) search processed after survey. This release contains 31,636 19,706 high-quality SMP curves, latter which contain 1635 photometrically classified SNe that pass cosmology quality cuts. sample spans largest redshift z range...
We present DES13S2cmm, the first spectroscopically-confirmed superluminous supernova (SLSN) from Dark Energy Survey (DES). briefly discuss data and search algorithm used to find this event in year of DES operations, outline spectroscopic obtained European Southern Observatory (ESO) Very Large Telescope confirm its redshift (z = 0.663 +/- 0.001 based on host-galaxy emission lines) likely spectral type (type I). Using redshift, we M_U_peak -21.05 +0.10 -0.09 for peak, rest-frame U-band...
ABSTRACT We present and validate 20 deg2 of overlapping synthetic imaging surveys representing the full depth Nancy Grace Roman Space Telescope High-Latitude Imaging Survey (HLIS) 5 yr observations Vera C. Rubin Observatory Legacy Time (LSST). The two are summarized, with reference to existing 300 LSST simulated produced as part Dark Energy Science Collaboration (DESC) Data Challenge 2 (DC2). Both observe same DESC DC2 universe. For survey, we simulate for first time fully chromatic images...
We present $griz$ photometric light curves for the full 5 years of Dark Energy Survey Supernova program (DES-SN), obtained with both forced Point Spread Function (PSF) photometry on Difference Images (DIFFIMG) performed during survey operations, and Scene Modelling Photometry (SMP) search images processed after survey. This release contains $31,636$ DIFFIMG $19,706$ high-quality SMP curves, latter which $1635$ photometrically-classified supernovae that pass cosmology quality cuts. sample...
The OpenUniverse2024 simulation suite is a cross-collaboration effort to produce matched simulated imaging for multiple surveys as they would observe common sky. Both the data and associated tools used it are intended uniquely enable wide range of studies maximize science potential next generation cosmological surveys. We have produced approximately 70 deg$^2$ Vera C. Rubin Observatory Legacy Survey Space Time (LSST) Wide-Fast-Deep survey Nancy Grace Roman Telescope High-Latitude Wide-Area...
A global QCD analysis of the direct photon production process from both fixed target and collider experiments is presented. These data sets now completely cover parton $x$ range 0.01 to 0.6, thereby providing a stringent test perturbative distributions. Previous detailed studies photons emphasized data. We find most have steeper $p_t$ distribution than prediction. Neither fits with new distributions nor improved fragmentation functions can resolve this problem since deviation occurs at...
Lattice QCD with four flavors of light dynamical quarks is simulated on a ${10}^{3}$\ifmmode\times\else\texttimes\fi{}6 lattice in order to study the finite-temperature transition chiral limit. The mass used, m=0.025 (in units), half smallest value previously used this size lattice. We find evidence for phase which absent intermediate masses. time evolution system shows both long correlation times characteristic nearby critical point and abrupt changes.
The ideas of supersymmetric quantum mechanics are applied to the tunneling problem for double-well potentials. We evaluate by developing a systematic perturbation expansion whose leading term is an improvement over standard WKB result. find that series converges rapidly.
The analysis of current and future cosmological surveys type Ia supernovae (SNe Ia) at high-redshift depends on the accurate photometric classification SN events detected. Generating realistic simulations constitutes an essential step for training testing algorithms, correcting biases introduced by selection effects contamination arising from core collapse SNe in samples. We use published time-series spectrophotometric templates, rates, luminosity functions empirical relationships between...
Cosmological analyses of samples photometrically-identified Type Ia supernovae (SNe Ia) depend on understanding the effects 'contamination' from core-collapse and peculiar SN events. We employ a rigorous analysis state-of-the-art simulations photometrically identified determine cosmological biases due to such 'non-Ia' contamination in Dark Energy Survey (DES) 5-year sample. As part analysis, we test our DES performance SuperNNova, photometric classifier based recurrent neural networks....
Host galaxy identification is a crucial step for modern supernova (SN) surveys such as the Dark Energy Survey (DES) and Large Synoptic Telescope (LSST), which will discover SNe by thousands. Spectroscopic resources are limited, so in absence of real-time SN spectra these must rely on host to obtain accurate redshifts Hubble diagram improve photometric classification SNe. In addition, luminosities known correlate with host-galaxy properties. Therefore, reliable galaxies essential cosmology...
ABSTRACT The upcoming Nancy Grace Roman Space Telescope will carry out a wide-area survey in the near-infrared. A key science objective is measurement of cosmic structure via weak gravitational lensing. data be undersampled, which introduces new challenges source galaxy shapes; potential solution to use linear algebra-based coaddition techniques such as imcom that combine multiple undersampled images produce single oversampled output mosaic with desired ‘target’ point spread function (PSF)....
The CDF experiment has reported an excess of high- ${p}_{t}$ jets compared to previous next-to-leading order QCD expectations. Before attributing this new physics effects, we investigate whether these can be explained by a modified gluon distribution inside the proton. We find enough flexibility in global analysis including inclusive jet data provide (25 -- 35)% increase cross sections at highest experiment. Two possible sets parton distributions are presented, and effects on other existing...