132 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Mbarara University of Science and TechnologyUG15 papers
- Ethiopian Space Science and Technology InstituteET11 papers
- ICTP - East Africa Institute for Fundamental ResearchRW8 papers
- Instituto de Astrofísica de AndalucíaES8 papers
- University of KigaliRW7 papers
- North-West UniversityZA6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Korea Institute for Advanced StudyKR5 papers
- University of Cape TownZA5 papers
- University of OxfordGB5 papers
- Institut d'Astrophysique de ParisFR4 papers
- Sorbonne UniversitéFR4 papers
5 papers · 1 filter
Remnants of Anderson localization in pre-thermalization induced by white noise
S. Lorenzo, T. Apollaro, G. M. Palma +3
We study the non-equilibrium evolution of a one-dimensional quantum Ising chain with spatially disordered, time-dependent, transverse fields characterised by white noise correlatio…
How does the cosmic web impact assembly bias?
M. Musso, C. Cadiou, C. Pichon +3
The mass, accretion rate and formation time of dark matter haloes near proto-filaments (identified as saddle points of the potential) are analytically predicted using a conditional…
Star formation of far-IR AGN and non-AGN galaxies in the green valley: possible implication of AGN positive feedback
Antoine Mahoro, Mirjana Pović, Pheneas Nkundabakura
In this paper we present the star formation properties of 23 X-ray detected AGN and non-AGN galaxies in the green valley with far-IR (FIR) emission, using dat…
On gravity in scalar-tensor theories
Joseph Ntahompagaze, Amare Abebe, Manasse Mbonye
We study gravity models in the language of scalar-tensor theories. The correspondence between gravity and scalar-tensor theories is revisited since gravity is…
How well do experience curves predict technological progress? A method for making distributional forecasts
François Lafond, Aimee Gotway Bailey, Jan David Bakker +4
Experience curves are widely used to predict the cost benefits of increasing the deployment of a technology. But how good are such forecasts? Can one predict their accuracy a prior…