-
A Web App for Transient Candidate Classification in the ASKAP VASTER Pipeline
Nov. 24, 2024
The VASTER pipeline detects short timescale variability in ASKAP data. A new web-based classifier allows users to view, filter, classify, and download observation and candidate data for efficient transient analysis.
2024A
-
Enhancing HORMONE: MPI Parallelisation and Workflow Modernisation
July 2, 2024
The HORMONE simulation code makes use of a novel self-gravity solver. ADACS implemented MPI parallelisation into the code, enabling it to scale across multiple compute nodes, facilitating larger and more detailed simulations.
2024A
-
Automating Weather Modelling for Meteorite Recovery
June 21, 2024
ADACS automated weather modeling with Nextflow for the DFN (Desert Fireball Network) team, improving efficiency and enabling parallel processing of meteorite fall data.
2023A
-
GOTO X-ray Binaries Web App Audit and Update
June 21, 2024
ADACS provided a solid foundation on which the GOTO-XBs team could further build the web app, and provided instructional information to up-skill the team.
2023B
-
Implementing Modern Programming Practices for the MCFOST Radiative Transfer Code
May 23, 2024
MCFOST encountered development hurdles amidst growing collaborators. ADACS assisted in implementing GitHub Actions for automated testing and version releases, streamlining workflow and enhancing code reliability.
2023B
-
Solar, Stellar and Space Physics with Machine Learning Workshop
May 15, 2024
A workshop on ML (Machine Learning) algorithms for Solar, Stellar and Space Physics, hosted at USQ in May, 2024.
2024A
-
ECR (Early Career Researcher) Python Workshop
Jan. 10, 2024
Most ECRs do not receive any formal training in critical software engineering skills. The ASA (Astronomical Society of Australia) collaborated with ADACS to run an intensive workshop to address this knowledge gap.
-
Improving the TESS Atlas Website and Catalogue-Automation
Dec. 20, 2023
ADACS improved TESS-Atlas by optimising scalability, reducing website construction time, and automating workflows with a custom Job Controller for handling new exoplanet candidates efficiently.
2023A
-
Modernising a Thermonuclear Burst Simulation Code for Neutron Star Constraints
Nov. 21, 2023
BEANSp is a software tool developed to simulate Bayesian Estimation of Accreting Neutron Star parameters. The role of the ADACS support in this project was to analyse the code and suggest and implement improvements.
2023A
-
Machine Learning Workshop
July 12, 2023
A four-part ML (machine learning) workshop consisting of a lecture on the history of ML and it's applications in astronomy research and three deep-dive sessions to apply ML techniques to astronomy data sets.
-
StarFit: Improvements to Build Workflow and Automated Documentation
July 2, 2023
ADACS collaborated again with the StarFit science team. Key achievements included adopting Meson and a multi-stage build approach, and integrating ReadTheDocs documentation into the workflow.
2023A
-
Coding Best Practice in Scientific Computing
March 27, 2023
A three day workshop aimed at researchers without formal coding/software development training and designed to give people a taste of many different aspects of best practices in scientific computing.
-
Implementation of VLT/NACO Pipeline Optimisations
Jan. 17, 2023
ADACS significantly enhanced the NaCo pipeline by parallelising key functions within the VIP library, reducing execution times by a factor of six and enabling more efficient processing of direct imaging data from the ESO archive and beyond.
2022B
-
Optimisation of FRB Processing on OzSTAR
Jan. 10, 2023
This project optimised the CELEBI pipeline for precise localisation of FRBs (Fast Radio Bursts) using ASKAP's CRAFT survey, adapting to recent infrastructure changes and preparing for increased detection capabilities with the CRACO upgrade.
2023B
-
StarFit: New Features and Improved Accessibility for Scientists
Dec. 22, 2022
StarFit, a tool for matching stellar abundance data to nucleosynthesis, was outdated and required a comprehensive revamp. ADACS assited by making key upgrades to the website, creating a PyPI python package, and adding features to the tool.
2022B
-
NextFlow Training
Nov. 24, 2022
The NextFlow training provided comprehensive instruction on workflow orchestration, including running and developing NextFlow workflows, using containers (docker and singularity), configuring NextFlow with SLURM, and covering best practices.
2022B
-
HPC (High-Performance Computing) Training
Nov. 24, 2022
This course is aimed at researchers who are new to using HPC facilities and is intended to be an overview of HPC concepts.
2022B
-
Transient RApid-response using Coordinated Event Triggering (TRACET)
Oct. 6, 2022
TRACET is a web app that uses VOEvent alerts to decide which transient events to observe with the MWA telescope, streamlining the process of rapid-response observations.
2022A · 2023B · 2023A
-
Boosting Social Network Analysis Research with Supercomputers
Sept. 21, 2022
ADACS collaborated with researchers in Social Network Analysis to improve the performance of their simulation code. This allowed them to tackle research problems that were previously computationally intractable.
-
Enhancing QUOKKA: Performance Gains in GPU-Optimised RHD Code
Aug. 7, 2022
ADACS collaborated with the developers of QUOKKA, a radiation hydrodynamics code, to determine if the performance could be enhanced. Although the code was already highly optimised, performance gains were made by refactoring GPU kernels.
2022A
-
ASA Early Career Researcher (ECR) "How To" Series
Aug. 1, 2022
The ASA Early Career Researcher (ECR) Chapter Steering Committee organised a virtual "How To" series, answering some of the most pressing questions from our community.
-
Computing, Careers, and Dark Matter at HWSA 2022
July 8, 2022
ADACS developed four short courses for the 2022 HWSA (Harley Wood School for Astronomy) that focused on developing skills for computing and careers, while the dark matter theme was covered off by astronomy experts.
-
Achieving Scalability: Advances in PHANTOM’s Parallel Computing Capabilities
June 16, 2022
ADACS improved the performance of the PHANTOM SPH code by improving its MPI communication patterns and optimising memory reallocation. Additionally, these upgrades prepare the code for future optimisations.
2022A
-
Research Project Management
May 16, 2022
This training is designed to teach researchers project management skills that can make both their personal and collaborative projects more efficient.
2022A
-
Getting Parallel Bilby Production-Ready for LIGO’s Fourth Observing Run
Dec. 20, 2021
ADACS developers collaborated with the Parallel Bilby team to overhaul their code, improving its structure, establishing tests for reproducibility, and instilling good development practices. This work set the foundations for future improvements to th
2021B
-
Preliminary Work on PHANTOM Code: Setting Up Testing Framework and Performance Profiling
Dec. 18, 2021
PHANTOM is an SPH code used for astrophysical simulations. ADACS transitioned its test suite to GitHub Actions, allowing the researchers to develop more rapidly. Recommendations were made on how to improve the code's parallel performance.
2021B
-
ANITA Astroinformatics 2021
Nov. 3, 2021
Three days of talks, panel discussions and workshops focused on Green Computing (resource use minimisation through automation and optimisation).
-
Collaboration on Shared Codebases
Oct. 28, 2021
This workshop uses python and gitlab examples to demonstrate good coding practices and collaborative code development strategies.
2021A
-
Version Control Training at HWSA 2021
Aug. 23, 2021
ADACS delivered Version Control training for both beginners and advanced users at the HWSA (Harley Wood School of Astronomy) in 2021.
-
Harnessing Supercomputers for Supernova Research
June 13, 2021
The CoCoNuT supernova simulation code has a 6-dimensional radiation solver module for simulating neutrino transport. This method is computationally expensive to run, so ADACS enhanced this module with MPI to run in parallel on supercomputers.
2021A
-
Optimising Parallel Bilby: Enhancing Efficiency in Gravitational Wave Inference
Nov. 28, 2020
Parallel Bilby is a gravitational wave inference code that was running inefficiently. ADACS analysed the code to identify bottlenecks and gave recommendations on how to improve its performance.
2020B