A fundamental question regarding the Galactic Center Excess (GCE) is whether the underlying structure is point-like or smooth. This debate, often framed in terms of a millisecond pulsar or annihilating dark matter (DM) origin for the emission, awaits a conclusive resolution. We weigh in on the prob…
Since the appearance of e-science as a tangible approach – a data-intensive approach to science, geared towards discovery – astronomy has been arguably the most successful example: it is a perfect fit for a data-intensive approach since most data is public and free of privacy concerns or commercial…
The European Open Science Cloud (EOSC) initiative faces the challenge of developing an agile, fit-for-purpose and sustainable service-oriented platform that can satisfy the evolving needs of the scientific community by stimulating the design and prototyping of novel innovative digital services.
Machine learning is rapidly becoming another tool in an astronomer’s statistical toolbox. Recent papers have demonstrated machine learning’s ability to recover degraded data, estimate important photometric parameters, and decode spectra. In this talk, I will be focusing on the use of convolutional …
During this talk I will present the PySAP (Python Sparse data Analysis Package) package, a multidisciplinary image processing tool developed in collaboration between astrophysicists and biomedical imaging experts at CEA Paris-Saclay through the COSMIC project. I will provide some background on the …
The success of the citizen science project Galaxy Zoo, launched back in 2007, has demonstrated the impact that hundreds of thousands of volunteers can make in a field of research. Whilst a powerful science communication and outreach tool, citizen science also allows for the classification of huge d…
The desktop GUI catalogue analysis tool TOPCAT, and its command-line counterpart STILTS, provide among other capabilities visual exploration of locally stored tables containing millions of rows or more. They offer many variations on the theme of scatter plots, density maps and histograms, which ca…
"Provide astronomers with simple, efficient and rapid means of accessing the reference data (bibliography, catalogues, object identifiers, images, spectra, time series, ...) necessary for their research". Since its creation in the early 1970s, the Strasbourg astronomical Data Center (CDS) has addre…
In the multi-messenger era, astrophysical projects share information about transients phenomena issuing science alerts to the Scientific Community through different communications networks. This coordination is mandatory to understand the nature of these physical phenomena. For this reason, astroph…
As the astronomical community moves into an era of big data, the paradigm of data processing is changing. We are transitioning from local end-to-end data processing (from taking or simulating observations to publishing the data) to retrieving pre-processed large datasets through database queries. T…
In this paper, we describe our efforts towards the development of a real-time radio imaging correlator for
the Long-Wavelength Array station in Sevilleta, New Mexico. We briefly discuss the direct-imaging algorithm and present the architecture of the GPU implementation. We describe the code-level m…
STScI has developed a new data format for use with JWST and the Nancy Grace Roman Telescope that addresses some of the constraints and issues that the FITS format has engendered. This talk will briefly outline the motivations for developing this format and describe the structure and features of the…
Deep spectral line imaging is one of the greatest challenges for the SKA and its pathfinders, as the raw visibility
data-streams go beyond the practical capabilities of traditional long-term data storage and imaging techniques. The Deep Investigations of Neutral Gas Origins (DINGO) survey on the Au…
Pangeo is first a scientific community, but also a Python software ecosystem and a platform that can be deployed on many infrastructures. Its goal is to provide means ways to make scientific research and programming easier on big datasets coming from simulations ran on HPC clusters (climatic model)…
Time series data is commonly used in time domain astronomy. Traditional manual processing methods are becoming extremely hard and infeasible during the dramatic growth of data volume. Artificial intelligence (AI) techniques provide the possibility for exploring the entire dataset but require that t…
Astronomy, as many other branches of science, has been experiencing an explosive increase in the data volumes, doubling every two years or so. At the forefront of this revolution, the Zwicky Transient Facility (ZTF) – a robotic optical sky survey currently in operation at the Palomar Observatory in…
Astronomers are data-centric cowboys: they hunt, sometimes unprincipled, for the best-ever calibrated data.
A key challenge of science platforms is to cater to a community of astronomers that ranges from power-users to novice users. Astronomical power-users have advanced IT skills, know how to nav…
I will present bibmanager, a command-line application that automates
the handling of BibTeX entries for LaTeX projects and synchronization
with ADS. Bibmanager maintains a centralized BibTeX database that
provides automated bibfile compilation for LaTeX projects. A simple
interface facilitates bu…
We study how the frequency spectrum of the background isotropic monopole emission is modified and transferred to higher multipoles by boosting effects due to the observer peculiar motion.
The method, based on a linear system, is suitable for various background radiation models and here applied from…
ADASS (Astronomical Data Analysis Software & Systems) is a medium-size conference catering astronomers and engineers from all over the world. It is traditionally held every year in the fall in a different country, hosted by an astronomy organisation in that country. Or at least this is what has…
Data volumes in modern astronomical surveys are large, and human attention is comparatively scarce. The most interesting sources are rare and may therefore go permanently buried and unknown in large archives. Moreover, the science results that currently planned surveys propose to deliver (e.g., p…
Neural Networks are finding increasing use in many areas of astronomy, but often act as "black boxes". Many techniques exist to probe in the internals of neural networks but not all are relevant to scientists. In this talk I discuss some of the techniques developed in computer vision to investigate…
HARMONI is the first light visible and near-IR integral field spectrograph for the ELT. It covers a large spectral range from 450nm to 2450nm with resolving powers from R (≡λ/Δλ) 3500 to 18000 and spatial sampling from 60mas to 4mas. It can operate in two Adaptive Optics modes - SCAO (including a H…
One of the most widely used methods for deriving physical properties of galaxies involves modeling their SEDs. While several modern Bayesian codes are routinely used to fit observed photometries with underlying models of star formation, evolution, and dust attenuation, results based on hydrodynamic…
Data reduction pipelines are traditionally run on a researcher's personal computer on a small amount of data. The pipeline may have complex software dependencies that preclude the researcher from installing it on a faster server. Even if the pipeline runs on the server, its deployment in a multipro…
This paper describes DiSkO, a wide-field synthesis imaging package based on a telescope operator on a discrete representation of a non-flat sky. The SVD of this operator provides an explicit representation of the null-space of the telescope operator, and leads to a natural basis in which the telesc…
Most periodicity search algorithms used in pulsar astronomy today are highly efficient and take advantage of multiple CPUs or GPUs.
The bottlenecks are usually represented by the operations that are not easy to automate, or that require an informed choice from an expert eye.
A typical case is the …
The Canada-France Imaging Survey (CFIS), will cover the northern sky
above 25 degrees galactic latitude in the u and r bands using MegaCam
mosaic imager on CFHT. The data is being processed using a modified
version of MegaPipe, the MegaCam data pipeline at the CADC. The data
is astronometrically c…
Arrays of imaging atmospheric Cherenkov telescopes (IACT)
are superb instruments to probe the very-high-energy gamma-ray
sky. This type of telescope focuses the Cherenkov light emitted from
air showers, initiated by very-high-energy gamma rays and cosmic rays,
onto the camera plane. Then, a fast ca…
With some telescopes standing still, now more than ever simple access to archival data is vital for astronomers and they need to know how to go about it. Within European Virtual Observatory (VO) projects, such as COSADIE (2013-2015), Asterics (2015-2018) and Escape (since 2019), we have been offeri…
With SKA precursor and pathfinder operations in full swing, radio and (sub-)mm astronomy is entering the era of super big data. The big questions is how to make (sub-)mm and radio data available to the astronomical community, preferably using FAIR (findable, accessible, interoperable and re-useable…
The KM3NeT neutrino telescopes are already taking data while undergoing incremental construction in two locations in the Mediterranean Sea. KM3NeT/ARCA is a large-scale water Cherenkov detector located south-east off the Sicily coast, optimised for investigating astrophysical high-energy neutrino s…
We present here the TESS network of night-sky brigthness photometers.
This network is an initiative of the STARS4ALL project, a platform
for promoting dark skies in Europe, funded by the EU.
The project involves citizens in monitoring light pollution of places
worldwide.
The hardware and software o…
The Multi-Mission Maximum Likelihood framework (threeML) is a flexible python-based framework for multi-wavelength data analysis in astronomy. ThreeML allows joint likelihood fits of data recorded by many different instruments, from radio to gamma rays. This is achieved by encapsulating data access…
We have developed a method that can cluster and map large astronomical images onto a two-dimensional map. A combination of various state of the art machine learning algorithms is used to develop a fully unsupervised image quality assessment and clustering system. Our pipeline consists of a data pre…
Calibration in the era of MeerKAT and its ilk is becoming an increasingly daunting task due to the sheer volume of data produced by these instruments. With the SKA fast becoming a reality, it is critical to design and implement calibration algorithms which exploit parallel hardware whilst minimisin…
Recently the IVOA released a standard to structure provenance metadata and several implementations are in development in order to capture, store, access and visualize the provenance of astronomy data products. This BoF will be focused on practical needs for provenance in astronomy. A growing number…
The upgrade of the former IRAM Plateau de Bure Interferometer toward
the NOrthern Extended Millimeter Array (NOEMA) by doubling not only
the number of antennas from 6 to 12 but also quadrupling the
instantaneous bandwidth with a next-generation correlator has
necessitated a large number of software…
The celebrated CLEAN algorithm has been the cornerstone of deconvolution algorithms in radio interferometry almost since its conception in the 1970s. For all its faults, CLEAN is remarkable in two regards viz. speed and its ability to accurately model point sources. In this talk, we demonstrate how…
We present a suite of online data discovery tools that have been developed for the ESCAPE Science Analysis Platform (ESAP). ESCAPE (European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures) brings together the astronomy, astroparticle and particle physics communit…
Cloud computing is a powerful technology that in the last decades revolutionized computing and storage in particular for Industry and Private Sectors. Today, large investments are on-going to build public Cloud Infrastructure at National or International level (e.g. the European Open Science Cloud …
Imaging Atmospheric Cherenkov Telescopes (IACT) detect the Cherenkov light induced by particle showers generated by cosmic rays and gamma rays entering the atmosphere. A complex data analysis is then required to reconstruct the direction, energy and type of the incoming particle from the telescope …
The Euclid satellite is an ESA mission scheduled for launch in 2022. It will observe an area of 15,000 deg^2 with two instruments, the Visible Imaging Channel (VIS) and the Near IR Spectrometer and imaging Photometer (NISP). Ground based imaging data in griz from surveys such as the Dark Energy Sur…
Astrocook is a software environment to analyze quasar spectra in full depth, providing “a thousand recipes to cook your data". It combines (1) a set of novel algorithms to model spectral features in emission and absorption (continuum component, spectral lines, complex systems); (2) a full-fledged g…
This tutorial will provide a hands-on introduction to deep learning using DeepForge, a gateway to deep learning for scientific computing. DeepForge provides an easy to use, yet powerful visual interface to facilitate the rapid development of deep learning models by novices as well as experts. Util…
Modern [not only radio] astronomers are coming to terms with being separated from their data and pipelines. Sheer data size alone dictates that data reductions are hardly ever “local” in any sense, but rather have to run on a big node or cluster somewhere remote, with SSH gateways and network laten…
The ARI-L project is an European Development project for ALMA Upgrade approved by JAO and ESO that officially started in June 2019. Recently, the ARI-L project completed successfully its first year review, with the reported activities well ahead of schedule. The first 60000 science FITS files have …
Since its first version in 2013, Aladin Lite has gained significant traction and usage as an HiPS viewer running in the browser. Designed to be easy to embed, it is now used in more than fifty websites and portals in the professional astronomy community. Aladin Lite has been adopted as the sky visu…
Built on numpy and astropy,
agnpy
allows to compute the spectral energy distribution (SED) produced by the radiative processes of relativistic electrons accelerated in the jets of Active Galactic Nuclei.
The photon emission via synchrotron and inverse Compton radiation can be computed for a popul…
The big data management challenge is one of the forefront topics in the fields of science and technology. At the heart of big data management lies the data preservation and curation process. This process consists of recovering lost or harm data, and transforming it into data curated by following sp…
Radio astronomical archives for large facilities (VLA, ASKAP, LOFAR, JIVE, MeerKAT) used to mostly store raw or calibrated visibility data . However, the situation is changing and some facilities (e.g. ALMA), store and distribute science ready data. This will also be the case for future radio teles…
Commercial cloud platforms are a powerful technology for astronomical research. The Event Horizon Telescope has processed much of its raw data on cloud platforms (Akiyama et al. 2019 - ApJL 875, L1; Kim et al. 2020; A & A, 640, A69 ) The Ice Cube neutrino experiment recently performed a similat…
Given observational data from systems of interacting galaxies, we seek to determine the values of various dynamical parameters through the optimization of numerical models via genetic algorithms. However, fitting these models can be quite difficult. The core challenges include 1) developing an obje…
The goodman-pipeline package provides all the functionality needed to reduce raw data obtained with the Goodman High Throughput Spectrograph on the Southern Astrophysical Research (SOAR) 4.1m telescope, and produce 1-D wavelength calibrated spectra. However, many science use cases, especially those…
The NASA Astrophysics Data System (ADS) manages more than 14 million scientific abstracts with more than 5 million full text, more than 128 million citations and thousands of other relationships (e.g., articles’ keywords and data sources). NASA ADS users regularly explore the data using our website…
Three-dimensional (3D) visualization has opened up a Universe of scientific data representations. 3D printing has the potential to make seemingly abstract and esoteric data sets accessible, particularly through the lens of translating data into forms that can be explored in the tactile modality fo…
The IVOA standard Multi-Order Coverage map (MOC), a data structure based on the HEALPix tessellation of the sky, can be used to encode the enclosed area within a given probability level contour of a gravitational-wave (credible region) sky localization. MOC encoded credible regions can be created, …
Faraday tomography provides pivotal information on the magnetoionic media along the line of sight through the Faraday dispersion function (FDF). Observing the magnetoionic media offer insight on to magnetized astronomical objects, such as quasars, galaxies or intergalactic medium in galaxy clusters.…
CARACal has been under development since mid-2017 and was publicly released in May 2020. The project started with the goal to allow the MeerKAT Fornax and MHONGOOSE Large Survey Project (LSP) teams to produce top-quality radio images and data cubes from their raw data in a standardized, easy, and r…
The perplexing mystery of how the solar corona maintains itself at a temperature of million K, while the visible disc of the Sun is only at 5800 K has been a long standing problem in solar physics. A recent study by Mondal et al. (2020, ApJ, 895, L39) has provided the first evidence for the presenc…
The future Cherenkov Telescope Array (CTA) will have telescopes of different sizes, being the Large Sized Telescopes (LSTs) the largest ones. Located on the island of La Palma, the LST-1, the prototype of the first LST, started taking astronomical data in November 2019, detecting the first gamma-ra…
The operation of the next-generation of gamma-ray telescopes as observatories poses gamma-ray astronomers the issue of opening their data and software to a wider community.
A first attempt at defining a common scheme for high-level gamma-ray astronomical data has been initiated by members of diff…
OPUS (Observatoire de Paris UWS System) is a job control system developed using the micro-framework
bottle.py
. The Universal Worker System pattern v1.1 (UWS) as defined by the International Virtual Observatory Alliance (IVOA) is implemented as a REST service to control job execution on a work clust…
The European Southern Observatory (ESO) provides pipelines to reduce data for almost all Very Large Telescopes (VLT) instruments. In order to reduce the cost of development, verification, and maintenance of ESO pipelines, and at the same time to improve the scientific quality of pipeline data produ…
LMU Muenchen operates an astrophysical observatory on Mt. Wendelstein with two telescopes (2m and 40cm) and five instruments (3 imagers and 2 spectrographs) for night time observations. Theses instruments provide a multitude of operating informations (mostly temperatures, pressures, motor positions…
Astronomers routinely work with images of the sky or tables of celestial objects. In this tutorial, participants will learn how to explore such data sets interactively, and in their astronomical context, inside Jupyter notebooks. The key enabling technology is pywwt, a module that allows researcher…
Docker is widely used by the astronomy community and is arguably one of the most common choices for containerisation despite its primary target audience being Web, IoT and cloud industries and their users. Already an important part of the research ecosystem, if used properly, containers can shorten…
With large observatories that provide data to thousands of astronomers around the world already online or in the design phase and under construction, it is now more important than ever to approach the problem of reproducibility in astronomy. The last few years have seen a wide adoption of solutions…
Astronomy is entering uncharted territory. The advent of next-generation observing facilities, such as the Large Synoptic Survey Telescope (LSST) and the Square Kilometre Array (SKA), able to map large regions of the sky with unprecedented detail, will result in a data deluge overwhelming the curre…
Astronomy has been a discipline that often suffers from big data issues. Large amounts of data are observed and need to be processed in order to find interesting phenomena. Automatic or semi-automatic approaches are welcome to solve this cumbersome task. In the past, several machine learning method…
Pulsar astrophysics, from searching for new systems to using precision pulsar timing to detect gravitational waves, is both complex and computationally expensive. Here we present the Pulsar Signal Simulator (PSS), an open-source Python package that can be used to simulate pulsar observations. The P…
Gammapy, a prototype for the Cherenkov Telescope Array (CTA) Science Tools, is a community-developed, open source Python package built on Numpy, Scipy and Astropy using open FITS based data formats. It provides a framework for gamma-ray data reduction and subsequent modeling and fitting to build hi…
We demonstrate and discuss a functional prototype of (per-user) checkpoint, restore, and live migration capabilities for JupyterHub platforms. Checkpointing -- the ability to freeze and suspend to disk the running state (contents of memory, registers, open files, etc.) of a set of processes -- enab…
We have developed an API for the Astrophysics Source Code Library (ASCL) that enhances the ability of users to conduct complex and automated queries on ASCL indexed codes. The API is public and allows anyone to programmatically search and filter the ASCL software database via an HTTP request. For e…
Sonification is the process by which data is represented by sound. There are nearly infinite ways to sonify data, and sonification has been applied in fields such as solar physics, stellar astrophysics, supernovae, and gravitational waves to the interest and delight of hundreds of thousands of list…
The Pan-STARRS Image Processing Pipeline (IPP) has been running on
data from the Pan-STARRS telescopes for a dozen years. To date, the
system has processed over 1.5 million exposures representing more than
2 Petapixels (2e15 pixels). The IPP operates on data from both
Pan-STARRS telescopes, and h…
This demo is a hands on introduction to the newly released Trillian framework. The Python package and supporting API will allow astronomers to retrieve data by simply describing it. For example, consider the statement "all Galex images within two square degrees of ra=12°34’42”, dec=47°22’52” ”. Thi…
The ASKAP Survey for Variables and Slow Transients (VAST) is the study of astrophysical transient and variable phenomena at radio wavelengths, such as flare stars and supernovae, using the new Australian Square Kilometre Array Pathfinder (ASKAP) telescope. The large field of view of ASKAP means tha…
Data central at AAO-MQ provides data archiving and hosting solutions to several external telescopes such as Anglo Australian Telescope(AAT) and Huntsman Telephoto Array in Australia. Up until recently AAT raw data had been manually processed and transported to be archived at AAO-MQ for the astronom…
In the last decade, Astronomy has been the scene of the realization of panchromatic surveys, with sophisticated instruments acquiring a huge quantity of exceptional quality data. This poses the need to integrate advanced data-driven science methodologies for the automatic exploration of huge data a…
Arcsecond.io
is an online SaaS platform aiming at offering cloud services for astronomers, collaborations and observatories. A significant part of it is public and free, with some pro tools that have been collected on the web and rewritten using modern techniques. It is backed by a rich backend of …
In the era of big data and cloud storage and computing, new ways for scientists to approach their research are emerging, which impact directly how science progresses and discoveries are made. For astrophysics and particle physics, initiatives such as ESA Datalabs and ESCAPE aim to offer science dat…
The several photometric surveys currently available produced a huge amount of data stored in their catalogs. Besides the primary scientific goals pursued by the individual experiments, there probably is a lot of information hidden in those databases, still waiting to be extracted.
This is certainl…
Astronomical observatories call for innovative solutions for the Big Data
streams that their new facilities generate. In general, one or more telescopes
observe large patches of the skies continuously with high resolution and
sensitivity. The most important common scientific drivers are to study
tr…
The Cherenkov Telescope Array (CTA) is an initiative that is currently building the largest gamma-ray ground Observatory that ever existed. CTA will provide unprecedented sensitivity and angular resolution for the detection of gamma rays with energies above a few tens of GeV. A Science Alert Genera…
“Hangar at VIRGO”
Filippo Quarenghi ·
Poster / Talk Waiting List (0 minutes)
Hangar is an open source data versioning tool that is geared towards reproducibility and collaboration on numerical datasets, with semantics that are similar to git. Its intrinsic adaptability to different data structures make Hangar a valuable tool for any physics data analysis pipeline. It also r…
Euclid is an ESA mission to explore the dark Universe. Euclid will map the 3D distribution of up to two billion galaxies and dark matter associated with them. It will hence measure the large-scale structures of the Universe across 10 billion light years, revealing the history of its expansion and t…
The ASTRI (Astrofisica con Specchi a Tecnologia Replicante) Mini-Array project is a wide international effort led by the Italian National Institute for Astrophysics to build and operate an array of nine ASTRI telescopes*. The Mini-Array is sensitive in the energy range 1-200 TeV with an angular r…
Multi-Messenger Astrophysics (MMA) brings together communities working in astrophysics, gravitational wave science and particle physics. Progress in real-time MMA requires reliable, performant and scalable cyberinfrastructure that 1) connects experiments and researchers at low latency to remove com…
The Italian AGILE space mission, with its Gamma-Ray Imaging Detector (GRID) instrument sensitive in the 30 MeV–50 GeV energy band, has been operating since 2007. Agilepy is an open-source Python package to analyse AGILE/GRID data. The package is built on top of the command-line version of the AGILE…
A Science Platform (SP) is an environment designed to offer users a smoother experience when interacting with data and computing resources. Usually when referring to a SP, we assume a web based environment based on Jupyter notebooks and software containerisation, however also other approaches or de…
Fast Radio Bursts (FRBs) are enigmatic radio pulses of roughly millisecond duration that come from extragalactic distances. We use the MeerKAT telescope array in the Karoo desert in South Africa to search for and localise those bursts to high precision in real-time. Our overall aims are to localise…
The KM3NeT research infrastructure in the Mediterranean is a multi-purpose cubic-kilometer neutrino observatory consisting of two detectors. ORCA is optimized to study atmospheric neutrinos between 1 and 100 GeV, while ARCA is primarily aimed at detecting cosmic neutrinos between several tens of Ge…
We review work undergoing at the ALMA Science Archive (JAO) to enhance
the archive with results from ADMIT, eventually allowing users to
select data based on interesting science queries. In a parallel project
we are building a prototype of this database, enhanced with selected
meta-data upon which …
In this BoF we propose to discuss a variety of items to improve how
software is described and can be discovered. We will invite and
actively search for contributions to this discussion. Some examples of
what we could cover:
The codemeta.json file, under control of software
authors. Including a wo…
We present the beta release of iDaVIE-v, a new Virtual Reality software for data cube exploration. The beta release of iDaVIE-v (immersive Data Visualisation Interactive Explorer for volumetric rendering) is planned for release at the end of 2020. iDaVIE-v has been developed through the Unity game …
From 2010, the biyearly doubling in processor transistor counts predicted by Moore’s Law has slowed, along with the associated increases in single processor speeds. In a bid to offer an edge over competitors, processor manufacturers began offering multiple processors on a single die, leading to the…
Dask is a lightweight Python parallelisation and distribution framework that seamlessly integrates with the PyData ecosystem to provide a rich framework for developing Parallel and Distributed Radio Astronomy Applications.
In this demo, we will demonstrate how to create a multi-core radio astronomy…
In 2016 the FAIR principles, aimed at improving the Findability, Accessibility, Interoperability, and Reuse of digital assets were postulated. Since then the scientific community has been working on interpreting those standards an…
The exponential increase in data size over the last years means researchers are scrambling to port their previously cluster-bound data analysis to full-blown high-performance-computing (HPC) applications. In the 2020s, astrophysicists might get used to applying for supercomputing time to calibrate,…
ESASky is a web-based application developed by the ESAC Science Data Centre that allows both scientists and the general public to explore a wide variety of astronomical data sets across the whole electromagnetic spectrum in a simple and intuitive way. In this talk we will present pyESASky, an exten…
The prototype of the Large Size Telescope (LST) of CTA, located at the Observatorio del Roque de Los Muchachos (ORM) on the Canary Island of La Palma, is presently going through its commissioning phase. A total of four LSTs, among others, will operate together at ORM constituting the CTA North site…
The ESAC Science Data Centre is conducting Machine Learning experiments to provide AI-supported added value services to our users in the mid-term future. This presentation will describe some of the experiments conducted and our analysis of the applicability of Machine Learning in different steps of…
In the process for releasing Gaia EDR3, due 3rd December, the ESA archive has significantly increased its functionalities from DR2. From the possibility to query external TAP services, to ADQL language extensions and new product linking capabilities, the ESA Gaia archive makes easier than ever to m…
Gemini NIFS (the Near-Infrared Integral Field Spectrograph) has been in operation for 15 years. In this time, it has executed 345 science programs. Utilizing the CANFAR VM batch processing environment at the Canadian Astronomy Data Centre (CADC) and the IRAF/Nifty4Gemini data reduction tools devel…
Listening to the presentations of a wide-ranging software survey by
the Radio Camera Initiative (RCI), one message emerges loud and clear:
"We have the algorithms and the tools (e.g. containers etc), but we
are still failing to bring these to bear in such a way that users,
developers and managers a…
Multi-messenger astronomy and the observation of transient sources promise to address during the next decade some of the most important questions in astrophysics, Gravitational Relativity, and other subjects like, e.g. the origin of ultra-energetic cosmic rays.
The next generation of radio telescopes, such as the Square Kilometer Array (SKA), will need to process an incredible amount of data in real-time. In addition, the sensitivity of SKA will require a new generation of calibration and imaging software to exploit its full potential. The wide-field dire…
An approach to numerical software development is presented, with the objective to leverage
automatic symbolic expressions translation to universal functions of different numerical
backends. SymPy is used to define the symbolic expressions while NumPy and CuPy are the currently
supported numerical…
Scientific results from both observations and simulations require verification to be accepted by the scientific community. Therefore, scientists more and more enrich their papers by the data sets on which the results are based. As a matter of fact, American Geophysical Union journals (e.g. JGR) rej…
The telescope of the Sloan Digital Sky Survey (SDSS [1]) was designed from scratch to minimize "down-time": the telescope does not stop to image a portion of the sky or change filters: instead, images in all 5 wavebands are captured continuously as the telescope moves along a Great Circle on the sk…
To search for optical counterparts to gravitational waves, it is crucial to develop an efficient follow-up method that allows for both a quick telescopic scan of the event localization region and search through the resulting image data for plausible optical transients. We present a method to detect…
The TIKE is a new service being offered by STScI to support astronomers working with the time-series data archived at MAST, such as TESS, Kepler and K2. This tool is built on the Pangeo deployment of JupyterHub, using Kubernetes in AWS. TIKE is a platform where astronomers can make use of data scie…
The Hubble Space Telescope (HST) archives can hide many unexpected treasures, such as trails of asteroids, showing a characteristic curvature due to the parallax induced by the orbital motion of the spacecraft during the exposures.
We present a new citizen science project exploring the ESA HST (eH…
While FITS is still our most common standard data format, incremental improvements could better carry it into the future as part of an ecosystem including other formats, both coequal and structural. What are those formats, and where are they in the standardization process? We'll have our annual sta…
Archives of astronomical images allow users to find images by metadata: what camera, what filter, what PI, what declination. Catalogs of the objects contained in those images provide a limited search of the data itself: position, magnitude, position angle, Sersic index. In a previous ADASS, we pres…
astroquery (
http://astroquery.readthedocs.io
) is an Astropy coordinated package and is already well embedded in and a key component of the astronomical Python ecosystem. astroquery arose from users’ desire to access databases from the Python command line in a scriptable fashion. Script-based data a…
With the Hubble Space Telescope (HST), STScI and NASA pioneered ‘science ready data’ in the archive and made it possible for the community to go from observations to science as quickly as possible. The technologies required for calibrating observational data broadly breaks down into two main compon…
The Astronomy eXtensions for Spark (AXS) framework has been developed by a team led by the University of Washington's DIRAC Institute. AXS enables efficient cross-matching of large catalogs, and allows astronomers to make queries and run arbitrary processing using the Apache Spark big-data engine. …
The tasks of location, classification, and segmentation are known and applied by astronomers in various problems such as: Morphological classification of galaxies, Transient detection, search for supernovae among others.
Is widely known in this decade will see a series of astronomical mega-projects…
ESAC Science Data Centre (ESDC) hosts a dozen of archives containing science data from over 20 space science missions and one of its primary goals is to maximize the scientific exploitation of ESA space science data sets. ESDC is set to provide Jupyter notebooks with scientific workflows to guide b…
The ESFRI projects in ESCAPE shall provide open access to their data, software and science tools to allow reproducibility of science results and the development of open science analyses across domains and infrastructures, necessary for opening the window to multi-messenger and multi-probe research.…
Computationally intensive simulations make systematic uncertainties hard to quantify when compared to real data. Guided by unsupervised domain adpation in machine learning, we show how we build an end-to-end differentiable pipeline that is capable of accelerating and correcting simulations by learn…
SuperWASP is the most successful ground-based survey for transiting exoplanets, having discovered >200 hot Jupiters to date. However the capabilities of SuperWASP extend beyond exoplanet detection. The SuperWASP photometric archive contains more than 30 million light curves of bright stars (V<…
As more and more Gravitational Wave Events are detected each year via interferometry, the need for a clear, informative, handy representation and visualization of their characteristics is becoming ever-more important. On one hand, such a tool can be a commodity for researchers, allowing for an effo…
The Athena X-ray Observatory, to be launched in the early 2030s, is designed to implement the Hot and Energetic Universe science theme. The X-ray Integral Field Unit (X-IFU) proposed for the Athena mission is a cryogenic imaging spectrometer, offering spatially-resolved high-spectral resolution X-r…
The majority of ESA’s space science missions’ archives are developed and maintained by the ESAC Science Data Centre (ESDC), in coordination with the science operations centres, the instrument teams and the consortia of the various missions. On the astronomy side, the current archives are the Gaia a…
In 10 years, HiPS has evolved from a prototype experiment led by CDS to a real ecosystem, supported by more than 20 data centers exposing their own HiPS node. This trend has been pushed by advanced and simple clients (Aladin Desktop, Aladin Lite) or portals (ESASky, ESO Science Portal) and thanks t…
Machine learning-based analysis techniques are gaining interest in cosmology due to their computational ability to generate complex models in order to analyse and interpret large scale structure data sets, such as the matter density fields comprised of nonlinear complex features, like halos, filame…
The UK Starlink Software Collection (SSC), first initiated in 1980, is now maintained by the East Asian Observatory. This poster summarised recent developments in the SSC.
The Nvidia Jetson Nano is a small embedded compute board with
four CPU cores and a 128-core Maxwell generation GPU.
We utilize the PyTorch framework to train a convolutional neural network image classifier
using a small imaging subset of the VLA Sky Survey that is split
into both testing and valida…
We present candidates for optical identification of 122 X-ray sources in the central part of the HS47.5-22 field (~2.4 sq. degrees) from a mid-depth ROSAT survey (Molthagen et al. 1997). Candidates selection was based on the observations in 16 mid-band filters (FWHM = 250 A, spectral range 4000 - 8…
The amount, size, and complexity of astronomical data-sets is growing rapidly in the last decades. Now, with new technologies and dedicated survey telescopes, the databases are even growing faster. Besides dealing with poly-structed and complex data, sparse data has become a field of growing scient…
Cosmic-ray observatories necessarily rely on Monte Carlo simulations for their design, calibration and analysis of their data. Detailed simulations are very demanding computationally. We will present a fast python-based package based on simple parameterizations to model light emission in cosmic-ray…
Metal-poor stars play an import role on the understanding of near-field cosmology. Old and long-lived late-type stars provide important clues to the early galaxy chemical evolution. In particular, these stars may help to clarify one of the open problems in nucleosynthetic theory:the \textit{locus} …
With over 30 million observations across more than a dozen missions, the Mikulski Archive for Space Telescopes (MAST) offers a vast amount of astronomical data accessible to users all across the world. To organize the diverse formats and metadata content each mission provides, we utilize the Common…
The Italian Center for Astronomical Archive (IA2) manage the NADIR system, which hold a large amount of astronomical data from different geographically distributed telescopes. Therefore, controlling the various activities across the different hosts could be complicated. In the event of an unexpecte…
APEX (Atacama Pathfinder EXperiment) is a 12m single dish submillimeter telescope at 5100m altitude near the ALMA site on the Chajnantor plateau in Chile. The APEX Control System (APECS) provides telescope control, instrument configuration, raw data acquisition and data calibration which is handlin…
The MANGO model proposes a flexible way to expose data related to astronomical source objects in an interoperable way.
It takes into account the huge diversity of source data in terms of feature description, format and usage.
The MANGO model attaches identifiers on astronomical sources and associat…
Filabres is a new Python pipeline created with the idea of performing the automatic reduction of direct images obtained with the instrument CAFOS, placed at the 2.2 m telescope of the Calar Alto Observatory. The goal is to provide useful reduced images through the Calar Alto Archive hosted by the S…
The NASA/IPAC Extragalactic Database (NED) routinely reviews journal articles to extract fundamental data of extragalactic objects from the articles and join them across the spectrum into the database. The work of manually going through the journal articles, identifying if one is appropriate for in…
Astro Data Lab is an open-data / open-access astronomical science platform built and operated at NSF's National Optical-Infrared Astronomy Research Laboratory's (NOIRLab) Community Science and Data Center (CSDC). It provides free access to hundreds of Terabytes of astronomical survey catalogs and o…
The quest for the electromagnetic counterparts of the TeV-PEV neutrino events observed by the current neutrino detectors is one of the hottest topic in modern astrophysics.
Public online tools integrated in a multi-wavelength environment, like the SSDC SkyExplorer and the SEDBuilder tools, are of g…
The goal of the project carried out by NRAO NINE's summer students was
to prototype a more accessible way for astrophysics curriculum to be
created and distributed to lower income minorities. This year the NINE Students worked in tandem with NRAO ODI’s Project Radial. A set of lessons
was chosen t…
VLASS is expected to catalog approximately 10 million radio sources, generating corresponding quicklook images during its lifetime operation. An efficient and automated way to classify these images needs to be developed. Training an Image Classifier using PyTorch to distinguish between common radio…
After ASTRON has gathered 10 years of experience with the LOFAR telescope's station M&C system, a reevaluation took place and it was decided that the new hardware for LOFAR2.0 stations also warrants a new M&C system.
The foundation of the LOFAR2.0 station Monitor and Control system (M&…
In this poster contribution, we would like to present the development of the observing scripts that are currently used in GREAT (German REceiver for Astronomy at Terahertz Frequencies) observations onboard SOFIA (Stratospheric Observatory for Infrared Astronomy), and has been used in SMART (SubMill…
The ASTRI ("Astrofisica con Specchi a Tecnologia Replicante Italiana") program a collaborative international effort led by the Italian National Institute for Astrophysics (INAF) design and an end-to-end prototype of the same class as the Cherenkov Telescope Array Observatory (CTAO) The prototype, …
Radio interferometry data was big well before “Big Data” was a glint in a proto-data-scientist’s eye. The raw outputs of a radio interferometer, i.e. the complex visibility data and all associated metadata, while of little interest to the end-user astronomer per se, contain a wealth of information …
The International Virtual Observatory Alliance (IVOA) develops the technical standards needed for seamless discovery and access to astronomy data worldwide, according to the FAIR principles, with the goal of realizing the Virtual Observatory (VO). There are 22 member organizations. The newest membe…
CASA, the Common Astronomy Software Applications package, is the primary data processing software for the Atacama Large Millimeter/submillimeter Array (ALMA) and NSF's Karl G. Jansky Very Large Array (VLA), and is frequently used also for other radio telescopes. This poster gives an overview of sev…
Fitting gravitational microlensing models to the data is a challenging task and will be more challenging when the upcoming NASA flagship mission - Nancy Grace Roman Telescope (formerly WFIRST) - begins its observing program. We present MulensModel package, which aims at allowing newcomers to conduc…
The ASTRI (Astrofisica con Specchi a Tecnologia Replicante Italiana) program was born as a collaborative international effort led by the Italian National Institute for Astrophysics (INAF) to design and realize, within the Cherenkov Telescope Array (CTA) framework, an end-to-end prototype of the Sma…
The upcoming Large Survey of Space and Time (LSST), conducted by
Vera Rubin Observatory, will produce, over
a 10-year period, multi-petabyte archive of images and catalogs of astrophysical
sources on more than 18000 square degrees of the southern sky.
Reaching magnitude
depth of ∼26.5 (AB) in the s…
Galaxy metallicity, a result of the integrated star formation history and evolution of the interstellar medium, is an important property describing the galaxy evolution. As such it has been widely studied in the local Universe with the data from the SDSS,
as well as its relations with galaxy stella…
Nobeyama 45m Radio Telescope (NRO45m) is a large single-dish radio telescope that has been operating for more than 35 years. The data processing pipeline for NRO45m (NRO Pipeline) is developed recently as an extension of the single-dish pipeline for the Atacama Large Millimeter/submillimeter Array …
Suprime-Cam is a wide field imager attached to the Subaru Telescope,
which covers a 34'x27' field of view.
During its operation, which started in 2001 and ended in 2017, it
observed more than 1000 deg2 of the sky.
All the raw data are publicly available thorough the SMOKA system and the
mosaiced im…
Hierarchical Progressive Surveys (HiPS) have become a widely used standard for storing and exploring large image surveys in the last decade. Among the many reasons for this success, the Hipsgen tool has had a special role. Hipsgen enables anyone to easily transform a set of individual images into a…
ISO (1995-2001) was an important ESA legacy mission that observed the sky in the infrared wavelength. This satellite performed around 30,000 science observations, including parallel and serendipity modes of the instruments (observational modes in which an instrument could observe while another inst…
Despite its low contribution to the total mass of the interstellar medium (ISM), dust plays a crucial role in the stellar evolution and in the evolution of galaxies as a whole, and it has the biggest impact on the shape of their total emission. The affluence of infrared and radio detections of mill…
ESCAPE (European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures) is an EC H2020 project that addresses the Open Science challenges shared by the astronomy, astrophysics and astroparticle physics facilities encompassed within the ESFRI roadmap. This project is bei…
The CASA team is working to design and prototype the next generation of Common Astronomy Software Applications (CASA) for radio interferometry data reduction. The next generation CASA technology stack invests heavily in Python-based frameworks for parallelization and data manipulation, including D…
The task of morphological classification is complex for simple parameterization, but important for research in the galaxy evolution field. Future galaxy surveys (e.g. EUCLID) will collect data about more than a billion galaxies. To obtain morphological information one needs to involve people to mar…
The building and installation of scientific software for use in radio astronomy can be a daunting task. This becomes inadequate because these software tools do not get substantial utilisation by most of the scientific community. KERN is a released set of radio astronomical software packages availa…
Every night the VST Telescope Control Software logs information about the telescope and instrument operations, executed commands, failures, weather conditions and anything relevant for the instrument maintenance and the identification of problem sources. All this information is recorded in text fil…
In radio interferometry, the goal of calibration is to mitigate instrumentation and atmospheric effects on observed visibilities, in an attempt to recover the “true” sky. The first step towards calibration is to generate solutions calculated from the observation of sources known as calibrators. The…
The Galway Ultra-Fast Imager (GUFI) located on the 1.8m Vatican Advanced Technology Telescope (VATT) was tasked to monitor tight brown dwarf binaries. However, due to the close separation between the components in these binaries, the GUFI photometer could not image each component of binary systems …
'Hedwig' is an observing proposal handling system developed by the East Asian Observatory for use at the JCMT. It has been used successfully for the last 5 years. The system is open source and designed to be easy to customize for use at other telescopes. For flexibility, semesters, submission que…
Software is the most used instrument in astronomy, and organizations such as NASA and the Heidelberg Institute for Theoretical Physics (HITS) fund, develop, and release research software. NASA, for example, has created sites such as
code.nasa.gov
and
software.nasa.gov
to share its software with the…
This work presents a spectral fitting method based on machine learning.
Galaxy spectra at optical wavelength contain much information of the physical properties such as star-formation rate, stellar mass, metallicity and their history.
Conventional methods of spectral fitting are based on the least …
CARTA, Cube Analysis and Rendering Tool for Astronomy, is a new generation of image viewer for visualizing large images from telescopes such as ALMA, VLA, MeerKAT, and ASKAP. The core design philosophy is to ensure scalability for the future telescopes and to provide best user experience. In this p…
Accurate photo-z measurements for X-ray sources are important to construct a large-scale structure map of the Universe in the SRG/eRosita all-sky survey. We investigate machine learning models based on Random Forests to measure probabilistic photo-z of point X-ray sources. We use information about …
Data origin is one of the basic metadata expected in the FAIR context. The information exists in the VizieR database and is made available for the end-user through the VizieR Web pages, the DOI metadata or in the IVOA Registries catalogue record. However, most of the VizieR queries are executed in …
Current multimillion spectroscopic surveys of SDSS and LAMOST provide enough data for analysis with the most advanced machine learning methods as are convolutional neural networks (ConvNets). However, each survey has a different strategy of target selection, based on individual scientific goals. Di…
AMPEL is a software framework for analysis of data streams. It was developed for multi-messenger astronomy and new, high-throughput, wide-field surveys like ZTF that require flexible tools for the selection and analysis of astrophysical transients. A key component is its modular design, where user-…
We have developed a sophisticated system that automatically generates calibrated ALMA observation data called “calibrated MeasurementSet” (MS) by simply inputting the unique identifier of the dataset.
The ALMA Science Archive (
almascience.org
) serves users with raw observation data, pipeline or ma…
To be able to run tasks asynchronously on NVIDIA GPUs a programmer must explicitly implement asynchronous execution in their code using the syntax of CUDA streams. Streams allow a programmer to launch independent concurrent execution tasks, providing the ability to utilise different functional unit…
The LOFAR Two-metre Sky Survey (LoTSS) Deep Fields have produced the deepest low-frequency radio astronomy images of the sky to date. In this poster, we show the processing methodology followed to produce these deep images focusing in the data calibration pipeline developed, the infrastructure used…
We investigated the characteristics of the young star population in the spiral galaxy NGC 2366. We used unsupervised algorithms as Path Linkage Criterion (PLC), and density based clustering (HDBSCAN).
In particular, we focused our attention in the hierarchical clustering distribution of the young …
The International Virtual Observatory Alliance (IVOA) works towards standardising interoperability and curation of data and service holdings of the global astrophysical community. Within the IVOA, the Data Access Layer (DAL) Working Group's goal is to provide Recommendations (an IVOA term for the …
The solar irradiance measured at the top of the Earth’s atmosphere is considered an influential parameter in studies of the atmosphere layers’ properties and the consequences of the disturbances they suffer from the influence of solar activity. Studies about weather and climate on Earth recognized…
The KM3NeT neutrino detectors are currently under construction at two locations in the Mediterranean Sea, aiming to detect the Cherenkov light generated by high-energy relativistic particles in sea water. The KM3NeT collaboration will produce scientific data valuable both for the astrophysics and n…
Usually, instrumentation for astronomy are complex systems consisting of different hardware subsystems, which communicate by standard communication protocols or their own protocols. This is the case of the ASTRI-Horn Cherenkov Camera, an instrument designed in the context of the ASTRI (Astrofisica …
Rafael Santos
C. V. Rodrigues
Marcia Beatriz Pereira Dominguez
Felipe Carolino
Alexandre Soares de Oliveira (Univap)
Diogo Belloni (INPE)
Alessandro Ederoclite (IAG/USP)
We present the status of the development of a collaborative web-based portal devoted to cataclysmic variables (CV) research. CVs…
In modern experimental sciences, the increasing amount of data to process and the development of standardized procedures to analyze it, is driving the utilization of automatic processing pipelines. This is in particular true for radio interferometers where in order to create science ready data, a n…
This poster presentation will discuss the large range of advanced, high throughput, analysis systems that are currently under development in the Cambridge Astronomical Survey Unit (CASU). These include, for instance, the major systems for the analysis and data management for WEAVE on the 4.2-m WHT…
Flares of known stable astronomical sources and transient sources can occur on different timescales, from only a few seconds to several days. The discovery potential of both serendipitous observations and multi-messenger and multi-wavelength follow-up observations could be maximized with a tool whi…
CFITSIO was originally developed at NASA’s High Energy Astrophysics Science Archive Research Center (HEASARC) in 1991 as a simple set of C and Fortran callable subroutines for reading and writing keywords and data arrays in FITS format disk files. This enabled the HEASARC’s data analysis software …
As part of an effort to create a unified search system for MAST, we created a prototype search discovery layer built on graph database and search index technology. We present the design of this prototype, challenges encountered in creating a knowledge graph of the MAST archive, and future direction…
In the poster I would like to present a method for enchasing image subtraction with CNN for detecting optical transients. The method has been tested on Transient Optical Robot Observatory of the South (TOROS) optical data connected with search of optical counterparts to gravitational wave events du…
Deconvolution is a part of the image reconstruction in the radio interferometry used in the radio astronomy to calculate the image of the sky. The image reconstruction consists from several steps and transforms irregularly sampled visibilities, which is an amplitude and phase of electromagnetic wav…
The Common Astronomy Software Application (CASA) is a widely used radio astronomy data reduction and analysis software package. It has a Python user interface and is implemented in C++ (with some Fortran). CASA has been under continual development for more than 14 years. Consequently, it has become…
We present a proposal to develop a citizen science project to inspect the epoch
photometry of variable sources identified as such in the Gaia science archive and
critically review/verify their variability classification. Given the large dataset of variable
sources provided in Gaia DR2, it is imposs…
Widefield imaging with a heterogeneous array, such as e-MERLIN, comprised of antennas with different primary beam sizes is problematic for sources on the edge of the beam. Furthermore, in mosaiced observations with contributions from overlapping fields is an extra complication, especially in the ca…
The Daniel K. Inouye Solar Telescope's (DKIST) first Call for Proposals was open from May 15, 2020 through August 14, 2020. We will present the software tools used during the proposing phase focusing on: Amazon Web Services for the Proposal Tools Web Interface, Atlassian's Jira Service Desk for th…
We present a new catalog of HII regions based on the integral field spectroscopy (IFS) data of the extended CALIFA and PISCO samples. The selection of HII regions was based on two assumptions: a clumpy structure with high contrast of Ha emission and an underlying stellar population comprising young…
We are reporting the updates on the development of the Automated SpectroPhotometric REDuction (ASPIRED) pipeline, designed for common use on different instruments. The default settings support common long-slit spectrometer configurations, whilst it also offers a flexible set of functions for users …
Supermoon estimation is prediction of the timing and distance of a perigee full moon. Some existing relevant tools can be opaque (lacking implementation details), functionally limited (giving a subset of the required information) or give mutually inconsistent results. A new supermoon estimator has …
Astronomical data archives are recognized as an essential infrastructure for astronomical activities. They are also indispensable records of every single moment of the universe -- a heritage for the human beings. Despite the consensus on their importance, it has been a long-lasting issue to secure …
We present Tricolour, a package for Radio Frequency Interference excision of wideband finely channelized MeerKAT correlation data. The MeerKAT passband is heavily affected by interference from satellite, mobile, aircraft and terrestrial transponders. Coupled with typical data rates in excess of 100…
We present a deep fully convolutional neural network trained
in the task of stellar spectrum normalization. We show that the proposed
model is able to fit spectral continuum, including non-smooth
instrumental pseudo-continuum, wide hydrogen and narrow
blended spectral lines. Proposed solution gives…
Traditional radio interferometric correlators produce regular-gridded samples of the true uv-distribution by averaging the signal over constant, discrete time-frequency intervals. This regular sampling and averaging then translate to be irregular-gridded samples in the uv-space, and results in a ba…
The ESO Common Pipeline Library (CPL) comprises a set of ISO-C libraries that provide a comprehensive, efficient and robust software toolkit to develop astronomical data-reduction recipes, which has been the fundamental tool for building data reduction pipelines for ESO VLT instruments since its or…
The CTA (Cherenkov Telescope Array) experiment is an international observatory dedicated to the observation of the gamma rays sky from ~30GeV to 300TeV. The achievement of its two sites (in Canaries islands and in Chili ) is planned for 2025. As 60% of the observation time will be reserved to open …
With upcoming high-resolution X-ray spectroscopy missions such as XRISM and Athena, it is
important to quantify the impact that uncertainties on fundamental atomic quantities have on the
interpretation of observational X-ray spectra. We use the pyatomdb package to perturb ionization
and recombinati…
The assessment of the data quality and the need of being able to reproduce the processing requires a good understanding of the provenance of the data and the data processing steps responsible for producing them. The management of this provenance information takes place at various levels such as cap…
Difference Image Analysis and image co-addition are key time-domain astronomy tasks and
the latest techniques are usually implemented as components of larger pipeline
software frameworks.
This work presents two standalone software projects that deliver simple
to use state of the art image subtra…
The poster describes a practical method to search for spatial and temporal coincidence of the LAT/Fermi coverage over a gravitational-wave sky localization. The method returns the overlap region between the two sky areas within a proper time window selected by the user. This approach offers a promp…
Taking benefit of the uprising of HiPS technology in astronomy allowing to homogenize access to pixel data and thanks to the large collection of HiPS it crea…
The IRAM 30-meter millimetre radio telescope is located in the Observatorio de Pico Veleta in Granada, Spain and has been continuously operating around the clock since its inauguration in 1984. It is still one of the most sensitive and powerful telescopes worldwide in its frequency range. It has …
ESCAPE (European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures) is a project to set up a cluster of ESFRI ( European Strategy Forum on Research Infrastructures) facilities for astronomy, astroparticle and particle physics to face the challenges emerging through …
With the double intention of expanding the possibilities in the use of astronomical information as sound source for music composition and to allow the interactive exploration of light curve databases through sound in a user-friendly non-time-consuming environment, this work presents the FITS2OSC so…
Producing an astronomical image from the data generated by a Radio Interferometer involves processing the observed visibilities, which are obtained by measuring complex voltages between antenna pairs. As part of this process, it is often necessary to build a model of the sky area observed with the …
The Square Kilometre Array (SKA) is a project to build a radio-interferometer capable of making revolutionary contributions to Astrophysics, Astrobiology and Fundamental Physics. It will be the largest generator of public data, producing around 600 Petabytes of data per year. These data will be del…
With the latest public data release from the SDSS MaNGA program, we are attempting to find a possible correlation between the fluxes from SDSS imaging of optical bands from galaxies to their Star Formation Rates (SFR). We aggregated our data from both SDSS and WISE survey databases. This full datas…
The Tutorial will have two parts: the first part will be dedicated to data discovery with "ObsTAP", a VO standard that was developed for this exact use case. Participants will get a little insight of how the standard works, and how it can be used from within software like TOPCAT, Splat-VO or Aladin…
Modern astronomy has evolved into a highly computational scenario, as a result of the volume and complexity of the data that must be processed and analyzed. This has motivated the application of advanced computer vision techniques such as Deep Learning, which have shown outstanding results in sever…
One of the limitations for any interactive astronomical data analysis platform is that in most cases there is a one-to-one relationship between observation and reduction pipeline. This limits the scalability and integration of these platforms with new data sources. On the other hand, these platform…
The diversity, volume and complexity of astronomical data increase as new astronomical facilities become online. As a result, tasks like the separation between point and extended sources or morphological classification of galaxies, to name a few, also present new challenges for their implementation…
The Zwicky Transient Facility (ZTF) has been serving transient alerts to the astronomical community for 2.5 years and it has just passed the 300 million mark, announcing the detection of almost 5,000 supernovae, 25 tidal disruption events, numerous asteroids, and other astrophysical phenomena in th…
While waiting for the James Webb Space Telescope (JWST) launch, we continue improving our development practices and processes, all of them to enhance the collaboration between all disciplines that support JWST science data processing and operations. In this poster, I want to give an update on what …
The German-Spanish Astronomical Center at Calar Alto is located in the Sierra de Los Filabres (Andalucía, Southern Spain) north of Almeria. It is operated jointly by the Junta de Andalucía and the Instituto de Astrofísica de Andalucía (CSIC) in Granada/Spain. Calar Alto provides three telescopes wi…
