I will summarise the INAF participation to the Spoke 10 of the ICSC (National Research Centre for High Performance Computing, Big Data and Quantum Computing
The intersection of Quantum Computing and Machine Learning, known as Quantum Machine Learning (QML), presents significant potential for advancing data-intensive fields like astrophysics. Astrophysics increasingly relies on Deep Learning (DL) for handling vast datasets generated by ground-based and satellite experiments, though the potential of Quantum DL remains underexplored. This study...
Quantum Machine Learning (QML) is an emerging field that integrates Machine Learning techniques with quantum computing to take advantage of the computational power of qubits. By leveraging quantum phenomena such as superposition and entanglement, QML has the potential to solve complex problems significantly faster than traditional methods, enhancing efficiency in data analysis, optimization...
A hybrid quantum genetic algorithm has been developed to minimize $\chi^2$ functions of different cosmological probes, to find the best-fit value for two cosmological parameters. The algorithm computes the merit function classically, and then uses a quantum circuit to entangle the population and perform crossover and mutation operations. The results show consistency with the drawn plots of the...
Round table and discussion on quantum computing in INAF
New advancements in radio data post-processing are underway within the SKA precursor community, aiming to facilitate the extraction of scientific results from survey images through a semi-automated approach. Several of these developments leverage deep learning (DL) methodologies for diverse tasks, including source detection, object or morphology classification, and anomaly detection. Despite...
The HaMMon project is the outcome of an industrial partnership that includes many Italian research institutions and private companies, led by UnipolSai and Leitha. The project is funded from the ICSC, the National Research Centre for High Performance Computing, Big Data and Quantum Computing.
The ambition of HaMMon is to build a flexible and expandable platform to map the hydrogeological...
Radio astronomy is undergoing a data revolution, with advancements in instruments like LOFAR, MeerKAT, MWA, and ASKAP yielding unprecedented insights into the universe. The massive volume of data generated demands efficient processing and analysis, including tasks like source detection, segmentation, and classification. Artificial Intelligence (AI), particularly Machine Learning, offers a...
Faithful reconstruction of the original spectral information is a long-standing yet unachieved goal in the science of spectroscopic data treatment, essential to several scientific cases in cosmology, fundamental physics, and stellar astrophysics. Data reduction in particular has still failed to implement on a large scale what is demonstrably the best approach to spectral extraction, namely the...
This project is an ICSC Innovation Grant. It aims to demonstrate the applicability of modern AI-based techniques in developing predictive maintenance systems and modeling interdependencies in complex industrial apparatuses. Methods currently utilized in the academic domain, such as anomaly detection in signal processing, log parsing from IT systems, and graph-based analysis, will be adapted...
The solver module of the Astrometric Verification Unit-Global Sphere Reconstruction (AVU-GSR) pipeline aims to find the astrometric parameters of ~10^8 stars in the Milky Way, the attitude and instrumental settings of the Gaia satellite and the parametrized post Newtonian parameter gamma with a 10-100 micro-arcseconds resolution. To perform this task, the code solves a system of linear...
The James Webb Space Telescope is allowing the characterisation of planetary atmospheres with a level of detail that exceeds the resolution of current models. With the future launch of the ESA mission Ariel, interpreting the large anticipated volume of such detailed spectra will require a new generation of models and theoretical frameworks. To timely tackle this challenge, we developed and are...
The remnants of core-collapse supernovae (SNe) display complex morphologies and a highly non-uniform distribution of stellar debris. In young remnants (less than 5,000 years old), these features encode valuable information about the processes at work in the SN engine, including nucleosynthetic yields and large-scale asymmetries that arise during the early stages of the explosion. Moreover,...
In this talk I will describe the "Dark Energy and Massive Neutrino Universe" (DEMNUni) simulation suite performed to study different probes of the large scale structure of the Universe in scenarios with massive neutrinos and dark energy equations of state. I will discuss the computational resources invested for the production and preservation of the DEMNUni dataset and present the main...
Square Kilometer Array is expected to generate hundreds of petabytes of data per year, two orders of magnitude more than current radio interferometers. Data processing at this scale necessitates advanced High Performance Computing (HPC) resources. However, modern HPC platforms consume up to tens of $MW$, i.e. megawatts, and energy-to-solution in algorithms will become of utmost importance in...
The High-Performance Computing, Big Data e Quantum Computing Research Centre, created and managed by the ICSC, is one of the five National Centres established by the National Recovery and Resilience Plan (NRRP), covering designated strategic sectors for the development of the country. The Centre is organized in 11 Spokes, one dedicated to infrastructure while the remaining 10 focused on 10...
Supernova remnants (SNRs) are expanding nebulae which in general show a rather complex morphology reflecting the interaction of the supernova (SN) blast wave with the circumstellar/interstellar medium (CSM/ISM), and the physical processes associated to the SN explosion and the internal structure of the progenitor star. The CSM/ISM into which the SNR expands is likely to be quite anisotropic as...
The Laboratory of Astroinformatics and Digital Planetology (LAPD) is a center of excellence in designing, developing, and optimizing advanced tools and methodologies to support space and planetary research. Its main activities are focused on several key areas:
- Development and Optimization of Codes for Simulation and Data Analysis:
The laboratory creates and refines advanced...
INAF is leader in the Instrument Control Software development of telescope instruments at large, in particular ESO ones.
Within the framework of the TETIS (TEchnologies for Telescopes and Instrument control Software) Coordination Unit, we present the members of OAPD and OATS and the projects in which they are involved.
Then, we briefly state the several common tasks faced by the teams, and...
Adaptive Optics (AO) has become crucial in present astronomy, to reach diffraction-limited imaging of astronomical targets on large ground-based telescopes. AO correction loops usually need to be operating at very high frequencies, of the order of 1 kHz, corresponding to the typical coherence timescale of the atmospheric turbulence. Hence, they require very fast real-time control (RTC)...
An overview of the contribution given by INAF to the development of the SKAO Observatory Management and Control (OMC) software is given. The staff from three INAF structures (OAA, OAAb and OATs) is mainly involved in the development of the Local Monitoring and Control of the Central Signal Processor (CSP.LMC) and of the UIs generation platform called Taranta, which produces engineering...
The ASTRI Mini-Array is an international collaboration led by INAF and devoted to imaging atmospheric Cherenkov light for very-high γ-ray astronomy. The project is deploying an array of 9 4-m class Imaging Atmospheric Cherenkov Telescopes at the Teide Observatory on Tenerife, in the Canary Islands, most sensitive to γ-ray radiation above 1 TeV. The Supervisory Control and Data Acquisition...
Software Quality Assurance (SQA) is an increasingly important part of modern software development for astronomy. For space projects ESA enforces through ECSS standards strict SQA procedures for the software operating on their space missions, and in the last few years also ground based projects have been pressed to provide higher quality software for their instruments, since stakeholders, like...
An overview of the contribution given by INAF to the development of real time control SW for space instrumentation: starting from the design phase up to the challenges of space SW validation activities. The experience acquired working with different processors for different missions (Euclid, PLATO, ARIEL, Athena) will be summarized, providing discussion points on similarities with control SW...
Abstract
The experience accumulated by INAF in international space missions has demonstrated the significant impact and scientific value of imaging tools. These instruments have necessitated the development of software tools across all mission phases to simulate data acquisition, verify and optimize observation strategies, and define essential operational parameters. The Simulator for...
The studies of pre-supernova outbursts have received lot of attention because of their high diagnostic power for the nature of the supernova progenitor and the implications on the structure of the circum-stellar medium (CSM) in the immediate surrounding of the exploding SNe. To study the low-luminosity bursts of RSGs, we assembled a literature-based catalog of a coeval and co-distant sample of...
Time series analysis is a powerful tool used to extract insights from data collected over time, and its applications span across a wide range of fields of application. By analysing trends, patterns, and seasonal variations, time series models allow for accurate forecasting and anomaly detection. Beyond forecasting, classifying time series data allows us to group similar patterns and behaviors,...
Scientific visualization is currently a very active and vital area of research. It involves the synthesis of large and complex amounts of data into images, videos or even virtual experiences allowing us to immerse ourselves directly into the data. The success of scientific visualization is due to the fact that the brain finds it easier to understand an image than words or numbers. In this way,...
Introduction
Planetary exploration studies can greatly benefit from integrating data acquired from diverse sources, each with unique spatial and spectral resolutions and often georeferencing inaccuracies.
The project PANCO (PANsharpening and COregistration) represents an open-source software suite dedicated to facilitating the integration of images of planetary surfaces through...
Modern Astronomy and Cosmology (A&C) generate petabyte-scale data volumes requiring the development of a new generation of software tools to access, store, and process them. The Visualization Interface for the Virtual Observatory (VisIVO) tool [https://visivo.readthedocs.io/en/latest/] performs multi-dimensional data analysis and knowledge discovery in multivariate astrophysical datasets....
The field of astrophysics is continuously advancing, with an ever-growing influx of data requiring robust and efficient analysis tools. As the Square Kilometre Array (SKA) radio telescopes come fully operational, we anticipate the generation of hundreds of petabytes of data annually, characterized by unprecedented resolution and detail. In this context, scientific visualization becomes a...
Predictive maintenance in High-Performance Computing (HPC) systems is crucial for ensuring reliability, performance, and energy efficiency. By leveraging AI-driven models, we can detect anomalies and predict potential faults before they disrupt operations, minimizing downtime and repair costs. This talk will explore advanced anomaly and fault detection techniques in HPC environments, utilizing...
The CAESAR project (Comprehensive Space Weather Studies for the ASPIS Prototype Realisation) was funded by ASI (Italian Space Agency) and INAF (Italian National Institute for Astrophysics) to develop the prototype of ASPIS (ASI SPace weather InfraStructure) and conduct research for Space Weather Science.
This contribution will give an overview of the CAESAR project and its outcome ASPIS...
INAF manages three single dish radio telescopes (Medicina, Noto and Sardinia Radio Telescope, SRT). The three dishes are also part of the European VLBI Network and the International VLBI Service for Geodesy & Astrometry. Also, SRT is involved in international collaborations dedicated to pulsar observation, namely the European Pulsar Timing Array and the Large European Array for Pulsars...
TBD
All’interno dell’ Osservatorio di Astrofisica e Scienza dello Spazio di Bologna (OAS), da sempre abbiamo avuto la necessità di strumenti di calcolo potenti e condivisi su cui gli scienziati possano svolgere le elaborazioni sui dati scientifici di Progetti e Missioni.
Per questo ci siamo dotati di un Centro di Calcolo (CdC) adeguato e sempre in continuo sviluppo in grado di soddisfare le...
Negli ultimi anni è aumentata moltissimo la richiesta di VM e Container per svolgere tutta una serie di servizi informatici prima svolti da macchine fisiche. Dal semplice sito web ai sistemi di analisi dati in parallelo questo modo di lavorare è ormai ampiamente usato in ogni ambito professionale.
Per cercare di gestire in modo coordinato ed efficiente queste richieste sono disponibili...
MIRTA is a project aiming to support and improve the networking and sharing capabilities of the technology research community - and more - inside the Italian Institute for Astrophysics, with possible interactions with, and extensions to, other institutions.
The project focuses on the design and production of a database, an interactive search engine and a community forum, in order to connect...
The International Virtual Observatory Alliance (IVOA) is a community effort to build standards meant to let astronomical datasets and other resources work as a seamless whole, i.e. interoperating at the technical and semantic level, and enabling FAIR principle adherence. To make this vision possible, national projects contribute to the IVOA and VObs.it is the italian effort in this...
In the context of the INAF participation as a member of the EOSC Association (EOSC-A) implementing the European Open Science (EOSC) vision, the description of the activities under the auspicious of INAF USCVIII, aiming at the integration of astrophysics and astronomical disciplines into the federation of EOSC as a node infrastructure for sharing and reusing all digital objects outputs and...
Abstract.
The Gaia mission is nearing the end of its operational life: after 10.5 years of continuous science operations (more than twice the initial lifetime), in Jan 2025 data taken with focal plane instruments will no longer be considered in the scientific data stream. However, in-orbit operations will continue for a few more months for testing end-of-life performances of digital detectors...
ASTRI Mini-Array On-Site Information and Communication Technology infrastructure
F. Gianotti*a, I. Abua, , M. Lodif, A. Tacchinia, G. Malaspinac, M. De Benedettof, F. Fiordolivae, M.Costig, G. Mancini g, D. Gregorig,, M. Pinettig , M. Sardog, D. Fuzzatig, M. Rosig, P. Brunob , A. Bulgarellia , L. Castaldinia , V. Confortia, A. Costab, V. Fiorettia ,S. Gallozzie, C. Grivelf , F....
The HaMMon project is the outcome of an industrial partnership that includes many Italian research institutions and private companies, led by UnipolSai and Leitha. The project is funded from the ICSC, the National Research Centre for High Performance Computing, Big Data and Quantum Computing.
The ambition of HaMMon is to build a flexible and expandable platform to map the hydrogeological...
Description of the activities of the INAF participation to the EOSC Association aiming at the building a "web of FAIR data and related services for science" through a federation of research infrastructure made of EOSC nodes.
I will summarise the INAF participation to the Spoke 10 of the ICSC (National Research Centre for High Performance Computing, Big Data and Quantum Computing
Time series analysis is a powerful tool used to extract insights from data collected over time, and its applications span across a wide range of fields of application. By analysing trends, patterns, and seasonal variations, time series models allow for accurate forecasting and anomaly detection. Beyond forecasting, classifying time series data allows us to group similar patterns and behaviors,...
