Four NEANIAS Space services are already onboarded on the European Open Science Cloud, available to the EOSC community. With this article we present some relevant information about them, and we invite you to discover their full potential.
S1 - FAIR Data Management and Visualization for Complex Data and Metadata
S1 - FAIR Data Management and Visualization for Complex Data and Metadata consists in 3 services (SPACE-VIS Via Lactea Service, SPACE-VIS ADN Service and ADAM-SPACE) developed with the support of the NEANIAS project.
SPACE-VIS Via Lactea Service
This service has been developed by the Istituto Nazionale di Astrofisica (INAF) with the support of the NEANIAS project.
The Via Lactea service provides an advanced operational solution for data management and visualization of astrophysics FAIR data surveys of the Galactic Plane to study the star formation process of the Milky Way. The Via Lactea Visual Analytic (VLVA) tool combines different types of visualization to perform the analysis exploring the correlation between different data, for example 2D intensity images with 3D molecular spectral cubes. All underlying data are managed in the Via Lactea Knowledge Base (VLKB). The VLKB includes 2D and 3D (velocity cubes) surveys, numerical model outputs, point-like and diffuse object catalogues and allows for retrieval of all the available datasets as well as cut-outs on the positional and/or velocity axis and some merging capabilities on adjacent datasets. The service requires users to request access in order to grant authorization for public and private surveys. Users can request access to the service through the NEANIAS Service Management System (SMS).
The service is addressed to students, researchers and research groups interested or with needs in galactic plane, the Milky way, visualization, visual analytics or virtual observatory, among others, and it can be found at https://marketplace.eosc-portal.eu/services/space-vis-vialactea-service.
A video demo is also available on the NEANIAS YouTube channel, showcasing its applications and features: SPACE-VIS Service Video Demo.
SPACE-VIS Astra Data Navigator Service
This service has been developed by Aerospace Logistics Technology Engineering Company (ALTEC) with the support of the NEANIAS project.
Astra Data Navigator (ADN) is a tool for 3D visualisation of stellar catalogues (stars, asteroids, planets, satellites, etc.) in a navigable environment. The creation of the models takes place in real time based on the physical parameters read from the catalogues to try to make the representation as realistic as possible. In addition to reading the stellar catalogues, for bodies where it is possible, the placement in the environment is carried out through the use of Spice Kernels. ADN software have been tested on the Hipparcos and Tycho datasets and will be extended to use Gaia datasets. The service is accessible via the NEANIAS Authorization & Authentication service by anyone having a Google or Microsoft account. Furthermore, it can also be configured to use, through APIs, other services developed within NEANIAS, without the need to have some data locally.
The service is addressed to students and researchers with interest in virtual reality, visualization, virtual observatory, gaia or universe simulator. It can be found at https://marketplace.eosc-portal.eu/services/space-vis-adn-service.
A video demo is also available on the NEANIAS YouTube channel, showcasing its applications and features: SPACE-VIS ADN Service Video Demo.
ADAM-SPACE
This service has been developed by Meteorological Environmental Earth Observation (MEEO) with the support of the NEANIAS project.
A major obstacle in Planetary data exploration is the technical steps involved in exploring the data. The goal of this service is to handle data and provide specific products of broad use (e.g. mosaicking) as well as products that demand processing intensive tasks (e.g. landing-sites), and make those products available publicly to ease access and allow users to reuse data. ADAM Space is a thematic service for planetary data of the ADAM platform (https://adamplatform.eu) to enable access to surface image data from Mars provided by NASA and ESA imagery.
The service is addressed to students, researchers, research groups or providers working in data exploitation, data access, data processing or planetary science. It can be found at https://marketplace.eosc-portal.eu/services/adam-space.
A video demo is also available on the NEANIAS YouTube channel, showcasing its applications and features: ADAM-SPACE Video Demo.
S2 - Map making and mosaicking for multidimensional image
S2 - Map making and mosaicking for multidimensional image is a set of services developed by Meteorological Environmental Earth Observation (MEEO), Istituto Nazionale di Astrofisica (INAF) and the Jacobs University Bremen with the support of the NEANIAS project.
The Space-Mos provides functionalities for making high quality images from the raw data captured by instruments (map making) and for assembling those images into custom mosaics (mosaicking). These are Backend Service functionalities exposed through and accessed from the Via Lactea and ADAM-SPACE services.
S3 - Structure detection on large map images with machine learning techniques
S3 - Structure detection on large map images with machine learning techniques consists in 3 services (SPACE-ML CAESAR, SPACE-ML Astro ML and SPACE-ML LSE) developed with the support of the NEANIAS project.
SPACE-ML CAESAR
This service has been developed by the Istituto Nazionale di Astrofisica (INAF) with the support of the NEANIAS project.
CAESAR (Compact And Extended Sources Automated Recognition) service provides a straightforward solution to segment astrophysical FITS maps, allowing for the extraction and characterization of both compact (e.g. stars, galaxies) and extended sources (e.g. galactic filaments, supernovae remnants).
The service is addressed to students, researchers, research groups interested in astrophysics, radio astronomy, source finding or source extraction. The service is available at https://marketplace.eosc-portal.eu/services/space-ml-caesar-service.
Also it is worth watching a short demonstrative video with the main features of the service on NEANIAS YouTube channel: SPACE-ML CAESAR Video Demo.
SPACE-ML Astro ML
This service has been developed by the Istituto Nazionale di Astrofisica (INAF) with the support of the NEANIAS project. These are Deep Learning models included and accessed by the SPACE-ML CAESAR service and also made available through the C3.1 AI Science Gateway.
SPACE-ML LSE service
This service is developed by Università Degli Studi di Milano Bicocca with the support of the NEANIAS project.
Latent Space Explorer (LSE) support analysis of image datasets via unsupervised machine learning methods. It allows to extract a compact representation from data by representation learning models (e.g. autoencoders). The information extracted can be then visualized using the projector. The latter allows visualizing the data in a 2D or 3D space in an interactive fashion. The system then allows performing clustering algorithms to detect potentially relevant ways to group images and to support the definition of novel classification schemes. The service is in the process of onboarding, and it will be available shortly.
It is worth watching this demonstrative video with its main features on NEANIAS YouTube channel SPACE-ML LSE service Video Demo.