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
5 papers · 2 filters
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…