All the GERLUMPH magnification maps can be accessed at the map database. Properties of complete and ongoing GERLUMPH datasets can be seen in the table below. All simulations have been carried out on gSTAR, through the ASTAC scheme supported by the Australian Government.
1Vernardos & Fluke 2013 2Vernardos et al. 2014 *in progress
Map + disc convolutions (in progress)
Observable properties of an accretion disc can be extracted by performing a convolution between a disc model and a magnification map. We will use gSTAR to perform 20 million such convolutions between various profiles and all of GERLUMPH maps. Stay tuned!
This is a collection of several pieces of software that have been used throughout time to create the GERLUMPH resource and its eTools, and to further process magnification maps. These are provided here in order to facilitate access and enable the reproducibility of the results, but can also be used independently. All the following codes are free to download and use:
Users are kindly asked to make sure to give credit to the correct person/developper each time. Each code is described in the Sofware page.
The following general, as well as, dataset-specific tools are available:
From video games to distant galaxies
Present and future synoptic all-sky surveys are set to increase the number of known gravitationally lensed quasars from ∼100 to a few thousands, in the next decade. This will improve our understanding of quasar accretion discs and supermassive black holes through the effect of gravitational microlensing. GERLUMPH aims at improving our theoretical understanding and tools of microlensing, by producing thousands of high quality microlensing magnification maps. We are using the GPU-Supercomputer for Theoretical Astrophysics Research (gSTAR) to generate Terabytes of map data. The computer hardware used to generate stunning visuals in computer games is proving to be incredibly valuable to astronomers, providing a link from Games to Galaxies.
My main research interests are in 3D astronomy visualization, computational techniques for gravitational lensing, and the use of graphics processing units (GPUs) to accelerate the rate of astronomical discovery. Currently, I am very interested in the opportunities for using GPU-computing clusters to solve the visualisation and data analysis challenges of the petascale data era. I am very active in public outreach, coordinating the 3D AstroTour school program.
I am mainly interested in theoretical and computational problems in physics and astrophysics. I am working with large scale supercomputer simulations and data management in the TB scale. I have been carrying out the GERLUMPH parameter survey, preparing for the Quasar Gravitational Microlensing survey era. Public outreach plays an important role in communicating ideas in astronomy, I accomplish this by giving public talks, seminars, astrotours and designing web pages.
My main research interest is astroinformatics, a (relatively) new multidisciplinary science. In particular, I am interested in topics such as data compression, data visualisation and machine learning in the aim of solving scalability problematics of the Petascale Astronomy Era through GPU-based approaches (i.e. enhancements to browser-based analysis and visualisation tools).
My first great research interest is the use of gravitational microlensing as a tool to understand the structure of quasars on scales well below the resolution limit of current telescopes. My current research is focussed much closer to home, studying substructure in M31 as part of the Pan-Andromeda Archaeological Survey (PAndAS).
My research focuses on the formation and evolution of galaxies in the local and high redshift Universe. Supermassive black holes, AGN and quasars. Cosmology and the large-scale structure of the Universe.
You are welcome to send any suggestions or questions to the GERLUMPH team:
GERLUMPH 24-02-2024 (UTC+10:00)
|Maps in database :
|GPU time :
|Approx. data size :