Stars within reach: Al Sadeem Observatory's mission to connect people with the cosmos
Al Etihad | Feburary 22, 2024
UAE mission to asteroid belt on course after design review
The National | February 21, 2024
Space Camp Puts the Skies in Focus for UAE Students
Mid East Space | February 14, 2024
UAE marks three years since Hope probe reached Mars orbit
The National | February 9, 2024
NASA Collaborating on European-led Gravitational Wave Observatory in Space
NASA | January 25, 2024
Mohamad Ali-Dib won Icarus Best Reviewer Awards. The role of the peer reviewer is essential to the publication process for journals such as Icarus. Without them the quality and variety of what Icarus publishes would be impossible to maintain. In particular, Icarus wants to highlight some of the reviewers who went above and beyond—whether by providing outstanding constructive reviews or serving as tiebreakers on challenging papers, the individuals who win this award serve the community in an exceptional way.
CAP3 Undergraduate Capstone and PPTP student Ms. Sana Elgamal was awarded Top Presenter for her presentation on "No Catch-22 for Fuzzy Dark Matter: testing substructure counts and core sizes via high resolution cosmological simulations" at the American Physical Society (APS) meeting. The virtual meeting was from April 24-26, 2023. Students presented on a breadth of physics topics to the academic physics community.
Using an AI technique (a neural network architecture called cycleGAN) Mario Pasquato turned simulated star clusters into the Center for Astro, Particle, and Planetary Physic's abbreviation CAP3. The neural net learns to translate images from one class (e.g., pictures taken in winter) to another (e.g., pictures taken in summer) by being shown examples. The result is very general and can be applied to translating a distribution of black points on a white background, as would be obtained by a dynamical simulation of a star cluster, into APOD-like pictures (on which the net was actually trained). Effectively, Mario generated these images that appear as if he is "writing with stars.”
The images points_X.png are semi-random distributions of points in the shapes of letters, and the resulting output is in the pictures named X.png.
Professor Andrea Macciò has been searching his entire life for something that science knows is there but has never seen.
On September 8, Nobel laureate Dr. Arthur B. McDonald met with NYUAD Physics students ahead of his Research Institute Lecture titled Understanding Our Universe From 2 KM Underground.
Mohamad Ali-Dib works as a Research Scientist at CAP3. An abstract of his winning presentation on Craters Identification with Artificial Intelligence is below.
Impact craters are the dominant morphological structures on most solar system planets and moons. Their numbers can be used as a diagnostic tool to estimate the surface age of objects, while their shapes and sizes encode valuable information on the impactors that created these craters. Finding new craters and retrieving their sizes has, however, generally been a manual process, and as such is rather extremely time-consuming. Mohamad's research focuses on using modern Artificial Intelligence techniques to detect craters in space probes imagery data. The algorithms he developed are currently being deployed to help plan the upcoming Emirates Lunar Rover's path on the Moon.
Image: Lunar surface (left) and the craters detected by the machine learning algorithm Mohamad developed (right)
Last week, Samuele Crespi became NYUAD’s first ever PhD Fellow in Physics to defend his thesis. Titled, ‘The Problem of Including Collisions in Simulations of Rocky Planet Formation’, the talk was attended by members of our Physics program, the Division of Science.
What is space junk and how dangerous are they? How did we pollute space and how can we clean it up?
How can humanity defend themselves from a potential asteroid strike on Earth? On September 26, NASA intentionally collided their DART — Double Asteroid Redirection Testspace — probe into the non-threatening asteroid Didymos. In this first-ever asteroid-deflection space mission, the asteroid and probe paths were calculated with impressive accuracy, and the probe successfully made impact with the center of the asteroid and deflected it out of its original orbit.
In preparation for this test, a mixed group of researchers from NYUAD and the US went to a Dubai desert on September 21 to observe the asteroid pass over a bright star visible from the emirate. Another team of researchers performed the same observation from Oman. Their goal was to get better estimates on the asteroid’s orbit, by determining the time of the occultation with a precision better than 0.1 seconds, and help NASA determine the precise location of the asteroid to assist with the spacecraft’s guidance. However, there was a low chance of successfully observing the occultation from the UAE and Oman.
A researcher from UC Santa Cruz, Paul Dalba, came to the UAE bringing along the equipment required to observe this event. Uncertain about their ability to capture the event, the UAE team used six separate sets of eVscope telescopes and video cameras simultaneously. A simultaneous effort was made by the researchers on the Oman side, who used additional five eVscope telescopes. With these digital, compact, and smart devices, the team divided themselves into different groups, covering possible/estimated asteroid paths, and anticipated the passing of Didymos 43 minutes past midnight.
All UAE located telescopes performed to standard, and all UAE telescopes had clear non-detections. Despite the clear non-detection of all telescopes, the high quality of the data speaks to the flawless execution of the difficult observation by the UAE research team, helps exclude the UAE locations as the asteroid paths, and tells us with confidence where the asteroid was not located
Five days after this desert astronomical adventure, astronomers worldwide were left stunned as Didymos and its debris brightened up in the sky after its impact with DART.
Research Associate Ben Davis has racked up over 51,000 likes on the Hubble Space Telescope's Instagram page. The page features photos from his work on the recent publication, Potential Black Hole Seeding of the Spiral Galaxy NGC 4424 via an Infalling Star Cluster, Graham et al. (2021), ApJ, 923, 146.