The interstellar comet 3I/ATLAS will soon leave our solar system, never to return, but the observations of the comet will live on in NASA’s public data archives. More than a […]
citizen science
SETI@Home Enthusiasts Used Home Computers To Search For ET. Scientists Focus On 100 signals They Found
For 21 years, between 1999 and 2020, millions of people worldwide loaned UC Berkeley scientists their computers to search for signs of advanced civilizations in our galaxy.
ExoClock Project IV: A Homogeneous Catalogue Of 620 Updated Exoplanet Ephemerides
The ExoClock project is an open platform aiming to monitor exoplanets by integrating observations from space and ground based telescopes.
Three New Light Curves and Updated Transit Timings of WASP-135 b
We present updated transit timing measurements for the hot Jupiter WASP-135 b using three new ground-based transit observations obtained with Leia, a 0.6-meter telescope operated by NASA’s Exoplanet Watch at […]
Radio Galaxy Zoo EMU: Harnessing Citizen Science and AI to Advance Open Science Catalogues
Over the past decades, significant efforts have been devoted to developing sophisticated algorithms for automatically identifying and classifying radio sources in large surveys.
Implementing The PRIDE Technique For The JUICE Mission At The University of Tasmania
The Jupiter Icy Moons Explorer (JUICE) spacecraft is a European Space Agency (ESA) mission to study the Jovian system, currently undergoing an eight-year cruise phase.
Radio Galaxy Zoo: EMU — Paving The Way For EMU Cataloging Using AI And Citizen Science
The Evolutionary Map of the Universe (EMU) survey with ASKAP is transforming our understanding of radio galaxies, AGN duty cycles, and cosmic structure.
SETI@home: Data Analysis and Findings
SETI@home is a radio Search for Extraterrestrial Intelligence (SETI) project that looks for technosignatures in data recorded at the Arecibo Observatory.
Citizen Science: The TESS Ten Thousand Catalog
The Transiting Exoplanet Survey Satellite (TESS) has surveyed nearly the entire sky in Full-Frame Image mode with a time resolution of 200 seconds to 30 minutes and a temporal baseline […]
DART-Vetter: A Deep LeARning Tool For Automatic Triage Of Exoplanet Candidates
In the identification of new planetary candidates in transit surveys, the employment of Deep Learning models proved to be essential to efficiently analyse a continuously growing volume of photometric observations.
