As SKACH moves into the next 4 years of funding we will look ahead into structural changes and goals.
This session will update the communications and outreach work of SKACH including a section on Radio Cosmos that will launch during the Winter Meeting.
The Computing Platforms and Infrastructure work package is responsible for enabling the science use cases for the SKACH consortium by providing an HPC platform at CSCS and contributing with technical expertise in HPC technologies and software development.
In this presentation, we will present the final status of the work package activities.
The SKA Data Challenge 3 is divided into two related yet independent challenges: ' Foreground' and 'Inference,' or SDC3a and SDC3b, respectively. The former challenge ended last year, and the SKACH team participated, obtaining remarkable results. As a continuation of this effort, the SKACH team, in collaboration with the Science working group from Sweden, is participating in the second part...
In this short presentation we will cover newly added features since the last SKA meeting.
Scoop developed an easy to use benchmark monitoring solution that enables the gathering of Hardware-, Software-, Execution- and Tracing-Metrics for benchmark runs. This enables clear, concise and reproducible benchmark executions.
SRCNet recently reached a significant milestone, which is the first release, branded as v0.1. We will showcase the capabilities of v0.1 in the Swiss SRC node.
I will discuss a new paradigm for cosmological likelihood-based inference, leveraging recent developments in machine learning and its underlying technology, to accelerate Bayesian inference in high-dimensional settings. This paradigm combines (i) emulation, where a machine learning model is trained to mimic cosmological observables, e.g. CosmoPower-JAX; (ii) differentiable and probabilistic...
Latent Diffusion Models (LDMs) have achieved remarkable success in various domains of generative modeling, particularly due to their ability to efficiently learn and represent complex data distributions in an abstract latent space. This success is exemplified by their use in Stable Diffusion or FLUX.1, state-of-the-art text-to-image synthesis techniques that leverage the strengths of LDMs to...
The SMART Pulsar survey produced Petabytes of data, only a small fraction of which has been processed for Pulsar search. Processing was done with a coarse dedispersion plan and using a simple periodicity search. An improvement in the software is required to search a larger fraction of the dataset and to conduct fine searches. We share our contributions to the GPU based implementations of these...
In this talk we present an update of the HPC Bluebild algorithm developed at EPFL, BIPP. We give a short overview of the algorithm and present some new science use cases that are being examined in the group.
The growth of radio astronomy data rates challenges current data processing techniques. With the Square Kilometer Array (SKA) expected to produce exabytes of data every year, many more radio sources can be expected to be discovered at higher redshift and better resolution. Due to storage difficulties, analysis of this data will need to be done without manual manipulation of visibilities. An...
Radio Frequency Interference (RFI) is a growing problem in radio astronomy. As of October 2024, more than 13,000 satellites are orbiting Earth, with the number steadily increasing due to the deployment of large-scale satellite constellations such as Starlink. Methods to address RFI are therefore essential. In novel work we have successfully performed trajectory based RFI subtraction on real...
The Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) radio interferometer array aims to observe neutral hydrogen (HI) through intensity mapping (IM) in the redshift range of 0.775-2.55. It is currently being built at the South African Radio Astronomy Observatory (SARAO) Square Kilometer Array (SKA) site in South Africa. HI IM makes it possible to tomographically probe large,...
MeerKAT and the upcoming SKA will drastically increase our horizon for direct measurements of neutral hydrogen (HI) in the Universe providing new insights on the baryonic content of galaxies across cosmic times. We recently acquired deep U-band MeerKAT observations of the COSMOS field. With these data and with the use of 21 cm stacking techniques, we will measure the HI mass of large samples...
Galaxy physical properties are not randomly scattered throughout a multi-dimensional parameter space, but instead follow distinct clustering ("scaling relations") that reflect their formation path and the associated astrophysical processes.
In this presentation I will describe two examples - both relevant to science with SKA-MID - of how these interrelations between different galaxy...
We will show of the first results of the full box of the phoebos simulation.
Vision foundation models, which have demonstrated significant potential in many multimedia applications, are often underutilized in the natural sciences. This is primarily due to mismatches between the nature of domain-specific scientific data and the typical training data used for foundation models, leading to distribution shifts. Scientific data often differ substantially in structure and...
Physics-Informed Neural Networks (PINNs) have emerged as a powerful tool for solving differential equations by integrating physical laws into the learning process. This work leverages PINNs to simulate gravitational collapse, a critical phenomenon in astrophysics and cosmology. We introduce the Schrödinger-Poisson Informed Neural Network (SPINN) which solve nonlinear Schrödinger-Poisson (SP)...
We will show of the first results of the full box of the phoebos simulation.
