This contribution reflects on 25 years of experience developing and maintaining automatic data reduction pipelines and related software at the European Southern Observatory (ESO). Over this period, the technology landscape has evolved from early MIDAS-based tools to systems built on the Common Pipeline Library (CPL) and the High-level Data Reduction Library (HDRL), and more recently toward...
The ESAC Science Data Center (ESDC) develops and operates the science archives for ESA missions, providing the scientific community with access to all ESA Planetary, Heliophysics, and Astronomy science data collections. Many of these archives are now approaching the legacy phase, as active missions decline and new ones typically allocate smaller budgets for archiving. ESDC is in fact...
We present a novel algorithm designed to detect and correct cosmic ray (CR) hits in astronomical images obtained with the MEGARA integral field spectrograph at the Gran Telescopio Canarias (GTC). Traditional approaches in the MEGARA Data Reduction Pipeline (DRP) rely on median stacking of multiple exposures to mitigate CR contamination. However, this method becomes less effective for long...
In this poster, we present a modular and scalable data reduction pipeline designed to process the challenging M51 [C II] dataset, observed with GREAT onboard SOFIA. The raw data comprise 125 GB and over one million spectra, collected across multiple flights and observing cycles (2016–2018). A key complication is contamination by a telluric ozone line, whose frequency shifts throughout the...
AAOGlimpse is a a rather quirky niche image display program with a couple of gimmicky tricks. it displays a 2D image as a 3D surface and encourages the user to spin it around and play with it. It dates from around 2012, and was based on Qt and OpenGL. It was structured to simplify moving to a GUI layer other that Qt, but use of OpenGL permeated the whole code (including the ‘GL’ in the name)....
This poster presents the China-VO (NADC) Dataset Metadata Specification, a foundational framework developed by the Chinese Virtual Observatory (China-VO) National Astronomical Data Center (NADC) to standardize the description and discovery of astronomical datasets. As data volumes grow exponentially, this specification addresses the critical need for a unified metadata standard to ensure data...
The increasing integration of astronomical data services with machine learning workflows has led to unprecedented demand on web-based astronomical databases. The SIMBAD astronomical database, operated by the Centre de Données astronomiques de Strasbourg (CDS), has experienced a significant surge in API requests, particularly from automated systems and AI model training pipelines that span...
Advanced Data Products (ADPs) are increasingly central to enhancing
the efficiency and scientific output of radio observatories. Designed
to bridge the gap between raw observational data and science-ready
results, ADPs reduce processing overhead, improve reproducibility, and
enable a wider range of researchers to engage with complex
datasets. Their benefits include accelerated...
LAMOST’s double revolving fiber positioning is vital for efficient spectroscopy, with accuracy requirements of 0.″2. Traditionally, closed-loop control relies on back-illumination at fiber ends, but this study proposes a front-illumination method using focal plane images. It eliminates internal spectrograph lighting, reducing light pollution and avoiding extra photography. An AI model, trained...
The rapid expansion of astronomical surveys has created a pressing need for preparing datasets in formats that can be directly utilized in machine learning applications. An AI-ready dataset has been constructed from the LAMOST Low Resolution Survey DR10, which covers nearly 11 years of observations (2011–2022) and contains more than 11 million spectra of stars, galaxies, and quasars. A uniform...
To address the challenge of manually analyzing the approximately 50 daily X-ray transient candidates from the Einstein Probe (EP) satellite—a process that can take 10-30 minutes per source—we have developed an AI-driven Real-Time Transient Identification Assistance System. Built upon the AI Agent framework and leveraging Large Language Models, the system is designed to emulate an experienced...
Since 2004, the Keck Observatory Archive (KOA) has operated as a NASA-funded collaboration between the NASA Exoplanet Science Institute( NExScI) and the W.M. Keck Observatory. It ingests, curates and serves all data acquired by the twin 10m Keck telescopes on Mauna Kea, Hawaii. In the past three years, KOA has begun a modernization program that will replace the architecture and systems used...
The Astronomy Open Science Competence Centre Pilot project (Astro-CC Pilot) is an EU funded activity meant to enable the astronomy research communities to accelerate their use of Open Science by supporting the implementation of FAIR principles.
It will run community 'competence centre' events, to provide training on the implementation of interoperable services, the development of the...
Modern radio telescopes such as LOFAR2.0 generate enormous data volumes that are too large to be inspected manually. These data contain a wealth of transient and variable phenomena, but their scale requires automated detection methods. One of the objectives at ASTRON and LOFAR ERIC is to automatically search all upcoming LOFAR2.0 observations for possible radio transients. To accomplish this...
BHTOM.space is a powerful platform designed to coordinate the photometric observations from a heterogeneous global network of small and medium telescopes, including both professional and amateur observatories. Built on a modular Django/Python backend with PostgreSQL and RESTful APIs, it supports automated ingestion and processing of photometric data (FITS, CSV), real-time cross-matching, and...
BlueMUSE is a new blue-optimized, medium spectral resolution, panoramic integral field spectrograph being developed for ESO's VLT. While building on the legacy of the much requested MUSE instrument, its blue wavelength coverage to the atmospheric cutoff (~350 nm) will make it unique. In Galactic, extragalactic, and high-redshift domains, BlueMUSE will enable new science not possible with...
The European Space Agency’s Euclid mission and the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) are poised to revolutionize astrophysics. Euclid delivers razor-sharp space-based Euclid imagery in one wide optical band with additional photometry in three NIR filters while LSST provides deep multi-band photometry across six filters (u, g, r, i, z, y). Individually, these...
With the emergence of Large Language Models (LLMs), the accessibility to information encoded in text for scientific purposes has significantly increased and provides a source for the augmentation of scientific practices within physics collaborations and for open science. In this contribution, the interface generation to internal and external sources of scientific information and application to...
With the commissioning of large-scale astronomical observation facilities, astronomical data has increased exponentially. However, due to bottlenecks in network bandwidth, data migration has become increasingly challenging. Therefore, establishing a computing platform integrated with astronomical data and enabling on-demand deployment of astronomical data processing environments will...
CIELOS (Canary Islands data cEnter for astronomicaL Observations and
Simulations) will be an initiative led by the Instituto de
Astrofísica de Canarias (IAC) to manage, process, and archive the
large volumes of data produced by the Observatorios de Canarias
(OCAN). Designed to support both observational and simulation-based
research, CIELOS aims to become a key node in the...
The development of open source software is increasingly recognized as a critical contribution across many disciplines, yet the mechanisms for credit and citation vary significantly. This poster uses astronomy as a case study to explore shared challenges in how software is cited in research. It will review the evolution of journal recommendations and policies over the past decade, alongside...
When working with astronomical data, metadata is also important. A general-purpose file format for transmission, processing and archiving large datasets should facilitate, among other things, both efficient processing of bulk data and encoding of rich semantic metadata. When choosing a format for a particular purpose sometimes no existing format satisfies both these requirements adequately,...
Stellar occultations are a powerful method for determining the physical properties of small Solar System bodies such as asteroids, Centaurs, and trans-Neptunian objects (TNOs). By recording the precise moments a body passes in front of a background star, occultations provide accurate measurements of its projected profile, enabling size and shape reconstruction, especially when combined with...
The catalogues in the CDS VizieR service need to have an Obscore table associated to them to be easily referenced. But the quantity of new catalogues we receive is huge compared to the number of staff we have on it.
That is why we are creating a tool to automatically generate those Obscore tables from the FITS files of the catalogues.
This tool is for now a Python library that will extract...
The China Space Station Survey Telescope (CSST) is a next-generation Stage-IV sky survey telescope, which is scheduled to be launched in 2027. It is equipped with five scientific instruments, i.e. Multi-band Imaging and Slitless Spectroscopy Survey Camera (SC), Multi-Channel Imager (MCI), Integral Field Spectrograph (IFS), Cool Planet Imaging Coronagraph (CPI-C), and THz Spectrometer (TS). Due...
How do you present and discuss the functionality of a science pipeline/workflow? Chances are very high, that you will draw some connected boxes with a bit of explanation around them on a whiteboard or in a publication figure. The DALiuGE framework enables you to do just that by dragging and connecting abstract component symbols or, far more useful, by using automatically generated component...
The Monitor of All-sky X-ray Image (MAXI), installed on the Exposed Facility of the Japanese Experiment Module "Kibo" on the International Space Station (ISS) in 2009, has been providing valuable data for X-ray astronomy until now. The Data ARchives and Transmission System (DARTS: https://darts.isas.jaxa.jp), operated by JAXA, makes MAXI event data publicly available, enabling researchers to...
Optical survey imaging in FITS files often exceeds the screen size of image viewers. To inspect such data, users can either traverse the image or zoom out. Manual traversal risks uneven or incomplete image inspection, subject to the controls available in the image viewer. Zooming out compromises image detail. A solution to these drawbacks is segmenting images into smaller pieces fitting within...
One of the major challenges in astrophysics in the coming years will be managing and processing the large amounts of data that will be generated in the future by the new generation of telescopes such as the square kilometer array observatory (SKAO). Of particular interest here is the ease of use of data services and the simple setup of data pipelines. The solution to this problem lies in...
The ESO Data Processing System (EDPS) is a framework designed to execute data reduction pipelines for ESO’s optical and infrared instruments at the La Silla Paranal Observatory and, in the future, the ELT. More information is available at https://www.eso.org/sci/software/edps.html.
EDPS supports a wide range of use cases, from online data quality control at the telescope to...
CARTA (Cube Analysis and Rendering Tool for Astronomy) is a cutting edge image visualization and analysis software designed to meet the demands of huge data from the ALMA, VLA, SKA pathfinders (MeerKAT and ASKAP), and the next generation telescopes (eg SKA and ngVLA), developed by a international collaboration from ASIAA, IDIA, NRAO, and Dept. of Physics University of Alberta.
Key features...
High-energy gamma-ray observations provide a unique window into the most extreme astrophysical environments, where particles are accelerated to relativistic energies. The \textit{Fermi} Large Area Telescope (LAT) has established blazars as the dominant class of extragalactic gamma-ray sources, exhibiting pronounced variability that encodes essential information on emission mechanisms and...
The NSF National Radio Astronomy Observatory (NRAO) is expanding its scientific data archive to include legacy radio astronomy survey products, beginning with the ingestion of neutral hydrogen (HI) spectral-line data cubes from the Arecibo Legacy Fast ALFA (ALFALFA) survey. Conducted with the 305-m Arecibo radio telescope from 2005-2012 with its seven-beam ALFA receiver, ALFALFA represents one...
The European Space Agency (ESA) Science Archives provide the astronomical community with open access to data from a wide range of space missions, including the James Webb Space Telescope (JWST). To improve performance, scalability, and interoperability, ESA has implemented a new ingestion workflow for JWST products based on icewind, a high-performance data transfer and ingestion application...
We present a comprehensive investigation of 10 detached eclipsing binaries composed of main-sequence stars, aiming to refine the precision of stellar parameter determination through multi-wavelength and multi-instrument data integration. This work combines spectroscopic data from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), photometric observations from TESS, and...
Current applications of machine learning in astrophysics focus on teaching machines to perform domain-expert tasks accurately and efficiently across enormous datasets. While essential in the big data era, this approach is limited by our intuitions and expectations, and provides at most only answers to the ‘known unknowns’. We are developing new tools to enable scientific breakthroughs by...
The GammaSky project aims to exploit artificial intelligence (AI) techniques on edge computers for the real-time data acquisition and processing of X- and gamma-ray high-energy phenomena like Gamma-Ray Bursts or Terrestrial Gamma-ray Flashes (TGFs). Its scientific objectives build upon the heritage of the ASI/AGILE space mission and the Gamma-Flash project, focusing on advancing onboard AI...
BlueMUSE is going to be an integral field spectrograph similar to MUSE but cover a more blue wavelength range than MUSE. As the two instruments are similar, the data reduction pipeline of BlueMUSE will be based on the pipeline for MUSE. While the MUSE pipeline does propagate the variance of pixels during the resampling into datacubes, it currently does not consider covariances. This can cause...
We will present the HiPS2FITS 3D prototype, the counterpart of HiPS2FITS to generate cube cutouts from HiPS 3D.
We will details the technical challenges we faced and will present how this new service allows for analysis of cubic data, once data of interest has been found using Aladin Lite or Aladin Desktop "visualization in context".
The European Southern Observatory (ESO) provides data reduction pipelines for the majority of current VLT instruments, several La Silla instruments and all future VLT and ELT instruments. Currently, there are approximately 30 pipelines available, each with a different support status: active, end of maintenance, or operational on hold. These distributions include a combination of C and Python...
Our science depends on public digital resources, including data archives, software repositories, computational infrastructures, and catalogs. Recent actions by non-scientists have led to the loss of important digital resources in other fields, and even astrophysics assets may face uncertain futures. This poster invites astronomers to reflect on how dependent our research is on shared resources...
Bibliographies are a core tool used by observatories to evaluate the impact of their facilities and instruments. Yet, identifying and classifying papers referencing specific instruments is usually a manual, time-intensive task. We developed a large language model (LLM)-augmented pipeline to automatically construct a comprehensive list of instruments referenced across the full astronomy corpus...
We propose the Self-paced Ensemble (SPE) algorithm to address extreme class imbalance in astronomical source classification. By leveraging dynamic sample selection and adaptive weighting, SPE enhances rare-class recognition capabilities. Applied to 868,371 ZTF DR4 sources (≥ 30 epochs in g/r bands), SPE identifies 8,210 high-confidence YSO candidates (P ≥ 0.7). Cross-validation with...
We will present the implementation of the HiPS3D extension in Aladin Lite, enabling efficient visualization and exploration of large cube datasets directly in the browser. This work, carried out within the SRCNet framework, demonstrates how HiPS3D technology can support interactive navigation through GBs-TBs of spectral cube data. This article will focus on the technical details of the...
Image analysis methods are sensitive to the orientation of the inputs.
This has direct implications on the performance in their respective application fields, like astronomy, bio-medical imaging, as well as many technical tasks.
While in the past, researchers usually focused on data augmentation and brute force approaches, we bring forward a novel idea that utilizes the concept of...
We present a performance analysis of the quasar and galaxy classifications provided by the Discrete Source Classifier (DSC) in the Gaia Data Release 3 (GDR3) and propose a new approach to combining the results of individual classifiers to create higher-purity quasar and galaxy catalogues.
In GDR3, the DSC probabilistically classifies sources using a Bayesian framework so that a source is...
We attach a great importance to open our webpages and astronomical data services to all, particularly to people with disabilities. Tools already exist (audio conversion of web pages, etc.), and the idea was not to reinvent the wheel, but to do an additional work so that our content could be processed by these tools and to offer some new features. We began by raising awareness us of different...
The X-ray Integral Field Unit (X-IFU) aboard the upcoming NewAthena mission relies on precise pulse detection and reconstruction for high-resolution X-ray spectroscopy. In its current baseline configuration, the pulse detection algorithm employs a one-sided derivative kernel (typically [1, 1, -1, -1]) to enhance pulse edges, triggering on threshold crossings of the filtered signal. However,...
JupyterHub and its associated interface JupyterLab have become de facto standards for data analysis in collaborative and large-scale scientific environments. Their flexibility in supporting multiple programming languages, along with the ability to create and share interactive documents composed of code cells and formatted text, makes them especially well-suited for open-source scientific...
After 45 years in operation, and two decades of remote queued service observing (QSO), Canada France Hawaii Telescope is developing Kealahou: a reconstruction of our entire QSO software system.
Kealahou started as a platform for a single spectrograph, and has since grown to host CFHT’s main suite of instruments, a “Phase 1” proposal submission and review system, and science operations...
We present a new value-added parameter catalog for the LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope) survey, produced by a spectral foundation model that unifies low- and medium-resolution LAMOST spectra with high-precision labels from multiple high-resolution surveys. The model, built upon the SpecCLIP framework, learns a shared latent space among spectra of different...
Since ADQL 2.1, there is a function IN_UNIT to ensure that an expression is
in a defined unit; for instance, you could say "IN_UNIT(pmra, 'mas/yr')".
While this already is a valuable tool for writing robust und portable queries,
it is a lot to type. The many letters and special characters also make queries
hard to read when multiple unit coercions are requested. Also, there is no...
The science operations of INTEGRAL, the International Gamma-ray Astrophysics Laboratory, came to an end in 2025 after more than 22 years. The first public release of the legacy archive was made following the end of operations in March. In addition to all the features of this new concept of a user-centric and science-first archive accessible through its modern web UI, The INTEGRAL Science...
The Compton Spectrometer and Imager (COSI) is a NASA satellite mission under development that will survey the entire sky in the 0.2–5 MeV range with a wide-field gamma-ray telescope. Its main instrument consists of a germanium detector array, surrounded on the sides and bottom by bismuth germanate (BGO) scintillator active shields (the Anticoincidence Subsystem, ACS). The ACS both suppresses...
The Stratospheric Observatory for Infrared Astronomy (SOFIA) has gathered a considerable amount of scientific data between first light in May 2010 to the final observing flight in September 2022. The joint mission by NASA and DLR produced a diverse set of astronomical data from several science instruments.
During the active time of the mission the SOFIA Data Processing Software Team worked...
The Euclid satellite is an ESA mission that launched in July 2023. Euclid will observe $\sim$14,000 deg$^2$ with two instruments; the Visible Imaging Channel (VIS) and the Near IR Spectrometer and imaging Photometer (NISP). The first large data release ($\sim$1900 deg$^2$) of Euclid (DR1) is scheduled for November 2026.
The MER Processing Function within Euclid provides source catalogs...
We develop the software for detecting moving objects in large catalog database, which are based on the PDR3-DUD (public data release version 3 for Deep and Ultra Deep survey) of Subaru Strategic Survey Project.
By comparing the catalogs based on Coadd image and each exposure images, we extract objects without Coadd detection but in exposure image as moving and/or transient object...
Advancements in AI have propelled multi-modal models to the forefront of astronomical research, particularly in time-domain astronomy. These models integrate diverse data types—images, light curves, spectral data, and metadata—to enhance analysis and prediction of dynamic celestial phenomena like supernovae, variable stars, X-ray bursts, and tidal disruption events. The Time Domain...
The NASA/IPAC Extragalactic Database (NED) has been serving the astronomy community for over 35 years, coincides with the 35th ADASS conference. We would like to give a summary of NED capabilities, in both Web UI form and API form. NED's hidden roles in supporting other projects, NASA missions, and archives.
We present the test developments conducted by CDS for the on-the-fly generation of catalogs in HATS format.
HATS is a framework described in the recently published IVOA note "HATS: A Standard for the Hierarchical Adaptive Tiling Scheme in the Virtual Observatory." Developed as part of the LINCC project for Vera C. Rubin data, and partly inspired by the HIPS format, it basically resorts to...
Our aim is to provide and develop infrastructure and services for the PUNCH sciences in Germany that interface data and resources by international initiatives and providers to enable efficient data analysis and data management according to the FAIR principles.
Modern astronomical observatories generate a torrent of complex data, offering an unprecedented opportunity for discovery. This presents a classic challenge: how to effectively harness this abundance. In China, we are answering this call by strategically engaging the public through citizen science, transforming science data to a broader range of fields. This poster presents a comprehensive...
We present a case-study in migrating a mask design software application for a Multi-Object Spectrograph (MOIRCS, operating at Subaru Telescope) from an IDL implementation to a pure Python one. The port accomplished several goals, including:
1) freeing users from onerous licensing restrictions,
2) improving the overall stability and responsiveness of the program, and
3) improving the...
Upcoming astronomy missions and observatories face challenges similar to those of modern Earth Observation (EO) missions: rapidly growing data volumes, increasingly complex processing pipelines, and the need for seamless integration across heterogeneous infrastructures. Space missions such as Athena and ARIEL, as well as ground-based facilities, will generate petabyte-scale data streams...
Accurate simulation of pulsar flux variability is critical for testing Square Kilometre Array (SKA)-scale interferometric pipelines. However, most existing simulators neglect the effects of integration time and related observational parameters, limiting their realism and utility for interferometric end-to-end testing. To address these shortcomings, we develop a Pulsar Simulator for SKA-scale...
FAIR software products are critical for the astronomical community in order to run all processes from data taking to analysis to simulations and interpretation. However, the Findability of software -- especially within the vast realm of possible solutions -- is the critical aspect, which is at best underdeveloped. Here, we introduce phyiscs.tools, a database of software products referenced in...
Within the RADIOBLOCKS EU project, JIVE, in collaboration with
partners, is investigating state-of the art accelerator technologies
for implementing a correlator for Very Long Baseline Interferometry
(VLBI). In particular we are developing GPU kernels that implement
the same algorithm as the SFXC CPU correlator. SFXC is the current
production correlator for the European VLBI Network...
Vizier provides a library of published astronomical catalogues (tables and associated data) with verified, enriched data. Since its creation in 1995, the workflow has been a semi-automated process. It makes authors’ datasets compatible with the Virtual Observatory (VO) and adds additional data, such as position or links.
We rewrote the catalogue ingestion process to follow an architecture...
The ESA Vigil mission, positioned at the Sun–Earth L5 Lagrange point, is
designed to provide continuous solar monitoring for space-weather forecasting and heliophysics research. The mission’s Photospheric Magnetic field Imager (PMI) acquires full-disk solar images generating raw data rates far exceeding the available telemetry bandwidth. To meet stringent latency and telemetry constraints,...
I will show the current state of pipeline development for Very-Long Baseline Interferometry (VLBI) with the LOw-Frequency ARray (LOFAR) and how the LOFAR VLBI pipeline has enabled the LOFAR astronomy community to do sub-arcsecond imaging of radio sources ranging from postage stamps to wide-field.
I will demonstrate how new approaches to scientific workflows allow for efficient and...
In this work, we try to find a set of algorithms to constrain the cosmological parameters using the quasar dataset. Quasars can be the potential cosmic probe that can fill up the gap between the farthest observed Type Ia Supernovae and the Cosmic Microwave Background CMB. Quasars are observed to the highest redshift of z ~ 7.1. It can give valuable insight into the tensions of the...
We present a novel representation learning framework for the Gaia XP DR3 dataset that leverages two advanced tools: Spherinator and HiPSter. Spherinator provides a method for learning compact representations of high-dimensional data, including images, point clouds, data cubes, time series, and spectra. Our training process uses variational autoencoders with hyperspherical latent spaces to...
In an era of increasingly complex and numerous astronomical instruments, a standardized description of observation targets becomes more and more crucial for efficient planning and archiving of astronomical observations.
To ensure seamless out-of-the-box interoperability between different systems and instruments, ESO has internally proposed a new unified standard (ESO-371803, “Astronomical...
Upcoming large radio interferometers will require the development of novel data processing algorithms. Possible advantages of the use of antenna-level data include direct detection and mitigation of radio frequency interference (RFI) and detection of burst signals of astrophysical origin. A simulator of the observed radio signals at antenna level facilitates the development and testing of...
The emerging technology of Data Science platforms addresses the need to analyze Big Data directly where it is stored, because moving large volumes of data is nearly impossible. Typical platforms, like Pangeo, ESA DataLab, and SciServer are complex cloud-based systems, running on large clusters, providing hundreds of users access to petabyte-scale astronomical data archives. They use flexible...
Identifying pulsar signals from radio telescope data archives poses a major big data challenge. Although several efficient algorithms have been developed to tackle this problem, our software package introduces an innovative approach: a machine learning–based framework that employs training data generated through Digital Twins derived from theoretical physics models, combined with a U-Net–based...
The lithosphere–atmosphere–ionosphere coupling (LAIC) mechanism posits that pre-seismic electromagnetic disturbances may manifest as detectable anomalies in the ionospheric magnetic field. The European Space Agency’s SWARM constellation offers a unique platform for probing these phenomena through high-precision, multi-satellite magnetic field observations.
We introduce a...
Software development has become an essential part of every sub-field of astronomy. Because of that, software citation is crucial for crediting earlier work, motivating funding, and encouraging reproducible and collaborative science. While there exists a well-developed ecosystem of tools and services to assist with citations to traditional publications, such as ADS/SciX, this infrastructure...
Authors: Adrian Damian, Hossen Teimoorinia, Mrunal Mustapure, Serhii Zautkin
Addressing: Submitted to ADASS XXXV, Görlitz, Germany, 9–13 November 2025
Proposed track: Science platforms in the big data era
Abstract:
We present StarAI, a prototype system that orchestrates large language models (LLMs) to streamline discovery and access of astronomy data hosted by the Canadian Astronomy Data...
Starlink is an open-source collection of software for astronomy containing tools for data reduction, analysis and visualization. It is currently maintained by the East Asian Observatory to support processing of data from the James Clerk Maxwell Telescope. Recent development has focused on handling problematic data, bug-fixes and improving the "summit" pipelines used by the telescope...
The Space-based multi-band astronomical Variable Objects Monitor (SVOM) mission, a joint Sino-French collaboration launched in 2024, is designed to detect, localize, and study gamma-ray bursts (GRBs) and other high-energy transients. Among its onboard instruments, the Microchannel X-ray Telescope (MXT) plays a central role by providing follow-up X-ray observations of GRB afterglows and other...
We present the Bayesian framework "Incliscope", a novel approach to estimate inclinations of galaxies based on optical images. In contrast to traditional methods, our solution does not rely on the fitting of ellipsoids in order to solve the axis-ratio equation. Instead, we use a probabilistic approach to collect properly-calibrated posterior distributions among inclinations from simulated...
We review the application of machine learning (ML) to identify Young
Stellar Objects (YSOs) in the era of large-scale astronomical surveys. It begins by
outlining the limitations of traditional identification methods (e.g., infrared excess,
spectroscopic confirmation), which struggle with the volume, complexity, and high-
dimensionality of data from projects like the Vera C. Rubin...
The Python package teareduce has been developed to support teaching activities related to the reduction of astronomical data. Specifically, it serves as instructional material for students participating in practical classes on the processing of astronomical images acquired with various instruments and telescopes. These classes are part of the course Experimental Techniques in Astrophysics,...
The Canadian Data-Intensive Astrophysics PLatform (CanDIAPL) is a national, production-grade ecosystem that lets Canadian astronomers use petabyte-scale survey streams rather than drown in them. CanDIAPL will pair on-site streaming compute at SKA pathfinders (MeerKAT/South Africa; MWA/Australia) with dedicated off-site storage and analysis at the Alliance/CANFAR Nibi (formerly ‘Graham’) cloud...
The ASTRI Mini‑Array is an international project led by the Italian National Institute for Astrophysics (INAF) to build and operate nine dual‑mirror imaging atmospheric Cherenkov telescopes for very‑high‑energy (TeV) gamma‑ray astronomy and stellar intensity interferometry. This paper presents the Startup System, an observatory‑wide startup/shutdown orchestrator and monitoring layer that...
The SOFIA Data Center (SDC) was founded in 2024 at the Institut für Raumfahrtsysteme, Universität Stuttgart, Germany. Its goal is to re-reduce the entire scientific and technical databank of the former airborne observatory SOFIA, using an updated and enhanced version of the data reduction pipeline package "Redux". The resulting data will be re-archived in the form of a "Virtual Observatory"...
The hybrid compute model, incorporating both Cloud and High Performance Compute (HPC) resources, has been an active area of research since 2018. For the past 5 years, the Australian SKA Regional Centre (AusSRC) has been utilising this model for processing of SKA Precursor data, utilizing both private and commercial Cloud Compute options, as well as private and public HPC centres.
We show...
For twenty years, the Jean-Marie Marrioti Center (JMMC) is providing calibrator stars for optical interferometry's observations thanks to JMMC Stellar Diameter Catalog 1 & 2 catalog releases integrated in SearchCal & GetStar web services to help querying such dataset and providing interoperability with the Virtual Observatory (VO).
For the new JSDC third release, the complete software package...
Julia is a modern, high-level, dynamically typed programming language designed for high-performance numerical and scientific computing. It combines the interactivity and ease of use of languages like Python or MATLAB with execution speeds approaching those of C/C++ and Fortran, enabled by its LLVM-based just-in-time (JIT) compilation and powerful multiple dispatch paradigm. A key advantage of...
The Laser Interferometer Space Antenna (LISA) is a joint ESA-NASA mission that will inaugurate a new era of gravitational wave astronomy from space. Supporting this ambitious mission is the LISA Science Ground Segment (SGS), a globally distributed system developed by ESA, NASA, and the LISA Consortium. The SGS enables end-to-end scientific operations, from payload commanding to data processing...
NSF-DOE Vera C. Rubin Observatory's upcoming Legacy Survey of Space and Time (LSST) will process 20 terabytes of raw images into 10 million transient alerts per night, every night for ten years. The Prompt Processing system deployed at the SLAC National Accelerator Laboratory automatically handles incoming images and generates alerts in near real time. To meet the ambitious throughput,...
During 783 scientific flights, SOFIA, the Stratospheric Observatory for Infrared Astronomy of DLR and NASA, collected much scientific data, now available through IRSA at IPAC. After the end of flight operations in September 2022, during one year of post-operations, only a limited data reprocessing of SOFIA Observing Cycles 5 to 9 could be achieved. To complete the job, the SOFIA Data Center...
The ASTRI Mini-Array is an international project led by the Italian National Institute for Astrophysics (INAF) to construct and operate an array of nine dual-mirror Imaging Atmospheric Cherenkov Telescopes. The primary goal is to study very high-energy (TeV) gamma-ray sources and perform stellar intensity interferometry. This paper describes the design and implementation of the Startup System,...
Large spectroscopic surveys such as GALAH, APOGEE, LAMOST and others, provide fundamental measurements of stellar parameters and chemical abundances for millions of stars. These data are essential for addressing a wide range of astrophysical questions, from understanding stellar evolution to reconstructing the formation history of the Milky Way. However, systematic differences in...
Bayesian imaging of astrophysical measurement data shares universal properties across the electromagnetic spectrum: it requires probabilistic descriptions of possible images and spectra, and instrument responses. To unify Bayesian imaging, we present the the Universal Bayesian Imaging Kit (UBIK). Currently, UBIK allows X-ray satellite data imaging for Chandra and eROSITA and soon radio...
We outline the current status of the systems we are designing to detect and characterise exoplanet candidates with PLATO lightcurve data in the early stages of processing (transitPipe). The results of transitPipe comprise a list of vetted and graded exoplanet candidates which will be shared with the community, and passed on to analysis at the next stage (planetPipe). Our process includes...
Debian Astro is a Debian Pure Blend dedicated to astronomy and astrophysics, providing a curated collection of software for observational and theoretical research, data analysis, and education. By integrating widely used packages—ranging from telescope and instrument control to data reduction pipelines and visualization tools—Debian Astro offers researchers a robust, reproducible, and fully...
Cosmological hydrodynamical simulations are powerful tools for studying galaxy formation, yet their predictive precision is limited by stochastic variability and numerical uncertainty. We quantify this variability using four identical realizations of a zoom-in galaxy-cluster simulation evolved with OpenGadget3 under tightly controlled compiler, library, and hardware settings. Variability is...
Abstract: In the context of Open Science and Citizen Science, the WIVONA (We Implement Virtual Observatory Needs of Astrams) project, funded by the Gemini Pro/Am initiative at Observatoire de Paris, aims to promote software interoperability as well as to provide access to astronomical data through the Virtual Observatory (VO) for the amateur astronomical community. During the first two years...
With astronomy entering an era of petabyte to exabyte scale data from next-generation telescopes and surveys, existing cloud platforms face critical data management challenges. Traditional approaches of mounting entire datasets or copying filtered subsets create trade-offs between access efficiency and storage costs, while conventional storage engines lack flexible permission control. To...
