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SUMMARY:Astro-CC Scientific Training event
DTSTART:20260929T064500Z
DTEND:20261001T142000Z
DTSTAMP:20260914T000000Z
UID:indico-event-38575@indico.in2p3.fr
CONTACT:manon.marchand@astro.unistra.fr\;mark.allen@astro.unistra.fr
DESCRIPTION:\nThis Training Event of the Astronomy Competence Centre Pilot
  project (Astro-CC Pilot) will take place in the Observatoire Astronomique
  de Strasbourg (France) from  29 September  to 01 October  2026.\n\n\n
  \n\n\nThe Virtual Observatory (VO) provides ways of accessing and exploi
 ting the huge amount of data provided by the ever-growing number of ground
 -based and space facilities.\n\nThis training event is targeted towards Ph
 .D students and postdoctoral researchers in the astronomy\, planetary\, a
 nd heliophysics fields.\nThe participants will be exposed to the tools and
  services provided by the Virtual Observatory. Each tutorial will have a s
 cientific application in mind. The tutorials will be:\n\nThe Astronomical 
 Data Query Language (ADQL) which provides a unified way of accessing tabul
 ar datasets across data archives\,\nThe Tool for OPerations on Catalogues 
 And Tables (TOPCAT) software. TOPCAT is a VO-friendly desktop application 
 for manipulating tables in astronomy. This tutorial will introduce TOPCAT 
 by working with data from Gaia DR3. It will give you hands-on experience o
 f using the tool to query remote data services via VO protocols\, set up a
 nd explore interactive plots\, manage row selections and perform crossmatc
 hes to analyse catalogue data in detail. There will also be an opportunity
  to perform similar analysis programmatically using STILTS\, TOPCAT's comm
 and-line counterpart.\nThe Strasbourg Astronomical Data Centre (CDS) servi
 ces. \nThis tutorial will present both web-based and Python-based access t
 o the services of the CDS. Through a hands-on workflow\, participants will
  retrieve and combine data related to carbon stars using major CDS service
 s.\nThe participants will explore the diverse information available in SIM
 BAD\, including object properties\, classifications\, and bibliographic li
 nks. Participants will then learn how to navigate VizieR to identify relev
 ant catalogues by scientific theme and data content. We will also cover te
 chniques for cross-matching multiple carbon star catalogues.\nFinally\, th
 e retrieved data will be visualized using the Aladin sky (and planetary) v
 isualization tool\, both through the desktop application and its Jupyter-b
 ased interface (iPyAladin).\nThis tutorial is intended for participants in
 terested in astronomical data discovery\, and catalogue interoperability.\
 n\nThe Virtual European Solar and Planetary Access (VESPA)\nThis tutorial 
 will introduce advanced methods for accessing and analyzing planetary scie
 nce data\, with a focus on Mercury and the BepiColombo mission. It will pr
 esent workflows for querying datasets through multi-criteria selection and
  the MOC (Multi-Order Coverage) framework via the PADC FindMe portal.\nPar
 ticipants will explore how to use the VESPA geospatial portal to identify 
 spectral data within specific morphological units on Mercury.\nAs an optio
 nal extension\, the session will cover the extraction of asteroid spectra 
 from the Gaia database\, highlighting an area of growing importance in pla
 netary science.\nThis hands-on tutorial is designed for users interested i
 n planetary data discovery\, and emerging tools for planetology.\n\nThe Vi
 rtual Observatory SED Analyzer (VOSA) This tutorial demonstrates the use o
 f VOSA\, the Spanish Virtual Observatory (SVO) tool developed to estimate 
 stellar physical parameters by fitting spectral energy distributions. The 
 tool allows users to upload their own photometric data or collect it from 
 VO catalogues. Through three practical scientific cases\, this exercise wi
 ll guide participants in exploring VOSA's main functionalities\,\nThe Spac
 e-Time Multi-Order Coverages (ST-MOCs)\nThis advanced tutorial will introd
 uce the use of Space-Time Multi-Order Coverages (ST-MOCs) to access and co
 mbine datasets based on both spatial and temporal criteria. We will learn 
 how to construct and manipulate ST-MOCs to perform data discovery.\nAs a p
 ractical application\, we will identify Gamma-Ray Bursts observed by both 
 the Fermi Gamma-ray Space Telescope and the XMM-Newton X-ray Observatory b
 y intersecting their observational coverages in space and time.\nParticipa
 nts will also explore the Virtual Observatory registry to discover relevan
 t data services\, and will gain hands-on experience using key interoperabi
 lity standards introduced in the training event\, including UCDs\, ADQL\, 
 MOCs.\nThis session is intended for participants seeking to deepen their u
 nderstanding of Virtual Observatory technologies and to perform sophistica
 ted multi-wavelength and multi-dimensional data queries.\n\n\n \nThe inst
 allation instructions for the software that we will use during the event i
 s available here. An online help-desk session will be held on September 25
  at 2pm CEST. The link to join it has been sent to the participants.\nAlon
 g these tutorials\, some time will be allocated to the participants perso
 nal scientific projects. With the help of the training event tutors\, they
  will directly apply their new knowledge to their own scientific use case.
 \n\n \n\n\nhttps://indico.in2p3.fr/event/38575/
IMAGE;VALUE=URI:https://indico.in2p3.fr/event/38575/logo-1219911700.png
LOCATION:Amphitheater (Observatoire Astronomique de Strasbourg)
URL:https://indico.in2p3.fr/event/38575/
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