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ASPIS

ASPIS

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The Italian Space Agency has produced a Space Weather (SWE) roadmap **([RD-2])** for a long-term strategy to

support the future scientific research of SWE, and the development of a related national scientific data centre

for Space Weather, called ASI SPace Weather InfraStructure (ASPIS), while reinforcing the interactions and

synergies among the SWE Italian groups, and organizing them in a strong collaborative environment. 

The ASPIS system is hosted in the ASI SSDC infrastructure.

.. image:: assets/images/logo_ASPIS_prtscrn.png

  :height: 320

  :align: center

  :alt: Alternative text

ASPIS for science

-----------------

From a scientific point of view, ASPIS addresses problems related to the origin and evolution of solar eruptive

events, their propagation and impacts through an unprecedented, comprehensive, multidisciplinary, and

integrated approach. This encompasses the whole chain of phenomena from the Sun to the Earth, as well as

to other planets. In this endeavour, it will be crucial to exploit a variety of products (datasets, codes, models),

which ultimately populate the ASPIS system. ASPIS unifies multiple SWE resources in a flexible

architecture to allow users to perform advanced scientific studies, both through a web interface, and a dedicated

SW package called ASPIS.py. A keyword, metadata-based system enhances search capabilities, especially as

data volume grows with recorded events. The ASPIS system is open-source, allowing researchers to

study problems that span across disciplinary boundaries. It creates an environment where scientists can

discover, understand, and model the connection between solar phenomena, interplanetary disturbances, and

their impacts on the planets (especially the Earth).

ASI-SSDC context

------------

The Space Science Data Center of the Italian Space Agency has its roots in the early ’90s with the Data Center of

the BeppoSax X-ray astronomy satellite, then evolved into the ASI Science Data Center (ASDC), established in

2000 as a multi-mission facility linked to high-energy astrophysics data managing and exploitation.

The two distinctive scopes of SSDC are the archiving, analysis, distribution of space mission data, and the

development of scientific tools to extract high-level scientific information from the data of interest. These goals

have been traditionally accomplished by following an “operative approach” involving both scientists and

industrial partners. The centre is constituted by personnel from the Italian Space Agency, the National Institute

for Astrophysics (INAF), and the National Institute for Nuclear Physics (INFN), with an Information and

Communication Technology (ICT) support provided by industrial partners (that currently are Telespazio and

Serco).

This approach allowed for the development of software tools oriented to the real scientists needs. Indeed, some

of these tools have become milestones for the relevant scientific communities, such as the Multi Mission

Interactive Archive (MMIA), the SED (Spectral Energy Distribution) Tool and MATISSE.

.. toctree::

.. toctree::

   :caption: ASPIS documentation

   :caption: ASPIS documentation

Intro

Intro

^^^^^^^

^^^^^^^

A intro describing webapplication

ASPIS webapp aims to provide an easy, user friendly, access to the data contained in the DATABASE.

ASPIS webapp will be suited with tools able to easy access and visualize data. Technically, ASPIS

web-app will access to database using a set of dedicated API (GET) who will act as middleware to the

Database queries. A key feature will be the function to visualize several data-set in the same page. The

feature, strongly related to the casual-chain [ref. 1] concept is designed to take into account the standard

work-flow of the Space Weather community while they are inspecting correlation and liked phenomena

inside different products. A small and protected amount of server-side and/or client side models should

be run over visualized data for simple and light computation, notwithstanding the intention of the web-app

is to facilitate the data exploration and cross-visualization. Users will be encouraged to implement heavy

computations and advanced data handling using ASPIS.py [ref. 9] libraries.

Functionalities

Functionalities

^^^^^^^

^^^^^^^^^^^^^^^

The web-app will be accessible using a common web browser. Basic functionalities are expected to be

public and will be open to the community:

• Search in the archive based on several keys

• Time based queries

• Spatial queries

• Data visualization

• Data comparison (Multiple plots)

• Access to the Causal-chains

• Causal-chain visualization with multiple plots.

• Quick citation extraction tools based on visualized data.

Advanced functionalities will be protected and will be accessible only to user identification:

• Save search results

• Save data visualization settings

• Run internal, server-side, ASPIS models over an identified data-set

• (optional) Light computation of model and data comparison

The Access Control List (ACL) will be provided by the ASPIS machines (Fig. 5)

Time-based multi-plot visualization

...................................

Time is a key link between the most of data-sets provided. So, graphical representation of data shall be

able to facilitate a time-based comparison between the series visualized by a common timeline. In this

way, every relationship between time-based plots can be easily found by the user.

Spatial visualization

.....................

Data-set are generated by instruments spatially referenced by acquisition site (ex. the instrument is

physically mounted on a Spacecraft or on Earth ), by target position (ex. The instrument target is the

Sun) and by line of sight (ex. the instrument acquire 20 square deg in a direction of the sky). This info

can be used to facilitate the user to visualize:

• Instruments positions in a specified time span

• Targets positions in a specified time span

• Targets coverage in instruments line of sights.

• Visualization of specific phenomena in different reference systems

Event-chain visualization

.........................

Causal-chains (ref. 1) will get a special section in the webapp. Causal-chains will take advantage from the

other basic visualization plots and can be associated here as a pre-defined organization of data subsets

plots. Web-app dedicated section will be able to list and search all causal-chains. Web-app will be able

to advise the user if, in a nominal visualization plot, the data subset is part of a know causal-chain and

propose a suitable visualization of such a causal-chain.

Data proximity suggestions

..........................

User would be prompt by the system in case other data-sets, respect to ones already visualized, will

have a "proximity" (in terms of observed target, data coherence, data meaning, spatial nearness ) and

are available in the ASPIS Database system for the observed time-span or in a relevant subsequent time

(to consider propagation of the phenomena to other instruments).

CAESAR_ involves over 75 scientists from Universities and Research Bodies throughout Italy (University of Rome Tor Vergata, University of Catania, University of Genoa, University of Calabria, University of Trento, University of L'Aquila, University of Perugia, ASI, INAF, National Institute of Nuclear Physics, National Institute of Geophysics and Vulcanonlogy), as well as personnel belonging to some international research centers.

CAESAR_ involves over 75 scientists from Universities and Research Bodies throughout Italy (University of Rome Tor Vergata, University of Catania, University of Genoa, University of Calabria, University of Trento, University of L'Aquila, University of Perugia, ASI, INAF, National Institute of Nuclear Physics, National Institute of Geophysics and Vulcanonlogy), as well as personnel belonging to some international research centers.

This is a very important opportunity for the creation of a permanent national infrastructure that will collect data and products related to Space Weather.

This is a very important opportunity for the creation of a permanent national infrastructure that will collect data and products related to Space Weather.

Prospect

--------

Prospect...

.. _CAESAR: https://caesar.iaps.inaf.it/

.. _CAESAR: https://caesar.iaps.inaf.it/

# -- Project information

# -- Project information

project = 'Caesar'

project = 'ASPIS'

copyright = '2022, The Caesar/ASPIS team'

copyright = '2022, The Caesar/ASPIS team'

author = 'CAESAR Node 2000'

author = 'CAESAR Node 2000'

release = '0.1'

release = ''

version = '0.1.0'

version = '0.1.0'

# -- General configuration

# -- General configuration

Welcome to CAESAR documentation!

Welcome to ASPIS documentation!

===================================

===================================

This is the CAESAR Project live documentation. Here you can learn how to use CAESAR webapp, CAESAR aspis.py library and have a look about the informations of the data products hosted in CAESAR systems. 

This is the **ASPIS** service live documentation. Here you can learn how to use **ASPIS** webapp, aspis.py library and have a look about the informations of the data products hosted in **ASPIS** systems. 

.. image:: assets/images/logo_ASPIS_prtscrn.png

  :height: 320

  :align: center

  :alt: ASPIS logo

CAESAR in brief

An environment where scientists can discover, understand, and model the connection between solar phenomena, interplanetary

========

disturbances, cosmic rays, and their impacts on the planets (especially the Earth).

**CAESAR** (Comprehensive Space Weather Studies for the ASPIS Prototype Realization) is a project supported by the Italian Space Agency and the National Institute of Astrophysics through the ASI-INAF n.2020-35-HH.0 agreement for the development of the ASPIS prototype of scientific data centre for Space Weather. 

.. image:: assets/images/CAESAR_logo_fullsize_color.png

  :height: 220

  :alt: Alternative text

Check out the :doc:`CAESAR` section for further information, including the details on :ref:`ASPIS` the project.

To read about the latest news of the project please, visit the website `CAESAR project <https://caesar.iaps.inaf.it>`_

Contents

Contents

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========

.. toctree::

.. toctree::

   :caption: Table of Contents

   :caption: Table of Contents

   :name: mastertoc

   :name: mastertoc

   :maxdepth: 5

   :maxdepth: 2

   :glob:

   :glob:

   caesar

   aspis

   aspis

   caesar

   products/main

   products/main