9.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR444 papers
- Institute for High Energy PhysicsES405 papers
- Stanford UniversityUS359 papers
- University of SouthamptonGB359 papers
- University College LondonGB358 papers
- University of MichiganUS356 papers
- Fermi National Accelerator LaboratoryUS350 papers
- University of ChicagoUS344 papers
- Ludwig-Maximilians-Universität MünchenDE323 papers
- University of Illinois Urbana-ChampaignUS315 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES312 papers
- The Ohio State UniversityUS305 papers
73 papers · 1 filter
Determination of the best dark matter profile for the Milky Way with Gaia DR3 using Bayesian Model Comparison
Aryan Singh, Shantanu Desai
We carry out a Bayesian model comparison analysis to determine the dark matter model that best describes the Milky Way rotation curve, using four recent compilations of rotation-cu…
LeMMINGs VII: 5 GHz, 50 mas e-MERLIN observations of a statistically complete sample of nearby AGN
D. R. A. Williams-Baldwin, R. D. Baldi, R. J. Beswick +36
We present 5 GHz e-MERLIN radio images at 50 mas resolution of the nuclear regions of the Legacy e-MERLIN Multi-band Imaging of Nearby Galaxies survey (LeMMINGs), the deepest stati…
Ultra-Faint Milky Way Satellites Discovered in Carina, Phoenix, and Telescopium with DELVE Data Release 3
C. Y. Tan, W. Cerny, A. B. Pace +76
We report the discovery of three Milky Way satellite candidates: Carina IV, Phoenix III, and DELVE 7, in the third data release of the DECam Local Volume Exploration survey (DELVE)…
DELVE Milky Way Satellite Galaxy Census I: Satellite Population and Survey Selection Function in DES, DELVE, and Pan-STARRS
C. Y. Tan, A. Drlica-Wagner, A. B. Pace +84
The properties of Milky Way satellite galaxies have important implications for galaxy formation, reionization, and the fundamental physics of dark matter. However, the population o…
Tully-Fisher Relation of Late-type Galaxies at
Gauri Sharma, Varenya Upadhyaya, Paolo Salucci +1
We present a study of the stellar and baryonic Tully-Fisher relation within the redshift range of utilizing observations of \sfgs. This dataset, as explored i…
Environmental Quenching of Low Surface Brightness Galaxies near Milky Way mass Hosts
J. Bhattacharyya, A. H. G. Peter, P. Martini +48
Low Surface Brightness Galaxies (LSBGs) are excellent probes of quenching and other environmental processes near massive galaxies. We study an extensive sample of LSBGs near massiv…
Dark Energy Survey Year 6 Results: Intra-Cluster Light from Redshift 0.2 to 0.5
Yuanyuan Zhang, Jesse B. Golden-Marx, Ricardo L. C. Ogando +46
Using the full six years of imaging data from the Dark Energy Survey, we study the surface brightness profiles of galaxy cluster central galaxies and intra-cluster light. We apply…
Low-Temperature Kinetics for the N + NO reaction: Experiment Guides the Way
Kevin M. Hickson, Juan Carlos San Vicente Veliz, Debasish Koner +1
The reaction N(4S) + NO -> O(3P) + N2 plays a pivotal role in the conversion of atomic to molecular nitrogen in dense interstellar clouds and in the atmosphere. Here we report a jo…
The LeMMINGs survey: probing sub-kpc radio structures of nearby galaxies with e-MERLIN
David R. A. Williams, Ranieri D. Baldi, Robert J. Beswick +10
The Legacy e-MERLIN Multi-band Imaging of Nearby Galaxies survey (LeMMINGs) is a statistically-complete census of nuclear accretion and star formation processes in the local Univer…
Membership analysis and 3D kinematics of the star-forming complex around Trumpler 37 using Gaia-DR3
Swagat R. Das, Saumya Gupta, Prem Prakash +2
Identifying and characterizing young populations of star-forming regions is crucial to unravel their properties. In this regard, Gaia-DR3 data and machine learning tools are very u…
Timing the r-Process Enrichment of the Ultra-Faint Dwarf Galaxy Reticulum II
Joshua D. Simon, Thomas M. Brown, Burçin Mutlu-Pakdil +65
The ultra-faint dwarf galaxy Reticulum II (Ret II) exhibits a unique chemical evolution history, with 72 +10/-12% of its stars strongly enhanced in r-process elements. We present d…
A Sample of Dust Attenuation Laws for DES Supernova Host Galaxies
J. Duarte, S. González-Gaitán, A. Mourao +58
Type Ia supernovae (SNe Ia) are useful distance indicators in cosmology, provided their luminosity is standardized by applying empirical corrections based on light-curve properties…
Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning
E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead +88
We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local V…
Characterising the Intracluster Light over the Redshift Range in the DES-ACT Overlap
Jesse B. Golden-Marx, Y. Zhang, R. L. C. Ogando +66
We characterise the properties and evolution of Bright Central Galaxies (BCGs) and the surrounding intracluster light (ICL) in galaxy clusters identified in overlapping regions of…
Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks
Ting-Yun Cheng, H. Domínguez Sánchez, J. Vega-Ferrero +54
We compare the two largest galaxy morphology catalogues, which separate early and late type galaxies at intermediate redshift. The two catalogues were built by applying supervised…
A galaxy-driven model of type Ia supernova luminosity variations
P. Wiseman, M. Vincenzi, M. Sullivan +59
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 s…
There is no universal acceleration scale in galaxies
Man Ho Chan, Shantanu Desai, Antonino Del Popolo
Recently, many studies seem to reveal the existence of some correlations between dark matter and baryonic matter. In particular, the unexpected tight Radial Acceleration Relation (…
Optical Variability of Quasars with 20-Year Photometric Light Curves
Zachary Stone, Yue Shen, Colin J. Burke +52
We study the optical photometric variability of a sample of 190 quasars within the SDSS Stripe 82 region that have long-term photometric coverage during with…
Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): Insights from the Dark Energy Survey Deep Fields
Colin J. Burke, Xin Liu, Yue Shen +69
We present a sample of 706, active galactic nuclei (AGNs) selected from optical photometric variability in three of the Dark Energy Survey (DES) deep fields (E2, C3, and…
LeMMINGs. III. The e-MERLIN Legacy Survey of the Palomar sample. Exploring the origin of nuclear radio emission in active and inactive galaxies through the [O III] -- radio connection
R. D. Baldi, D. R. A. Williams, R. J. Beswick +31
What determines the nuclear radio emission in local galaxies? We combine optical [O III] line emission, robust black hole (BH) mass estimates, and high-resolution e-MERLIN 1.5-GHz…
The Observed Evolution of the Stellar Mass - Halo Mass Relation for Brightest Central Galaxies
Jesse B. Golden-Marx, C. J. Miller, Y. Zhang +73
We quantify evolution in the cluster scale stellar mass - halo mass (SMHM) relation's parameters using 2323 clusters and brightest central galaxies (BCGs) over the redshift range $…
Rates and delay times of type Ia supernovae in the Dark Energy Survey
P. Wiseman, M. Sullivan, M. Smith +87
We use a sample of 809 photometrically classified type Ia supernovae (SNe Ia) discovered by the Dark Energy Survey (DES) along with 40415 field galaxies to calculate the rate of SN…
Pushing automated morphological classifications to their limits with the Dark Energy Survey
J. Vega-Ferrero, H. Domínguez Sánchez, M. Bernardi +60
We present morphological classifications of 27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classif…
A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
S. Mucesh, W. G. Hartley, A. Palmese +72
We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorit…