B0DEGA 3D VO Archive - IVOA 2010 Fall Interop

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The document describes a prototype 3D VO archive called B0DEGA that would provide discovery, querying, and access to galaxy datacubes from the AMIGA and B0DEGA projects. It discusses the context and goals of those projects, which involve analyzing the interstellar medium of isolated galaxies using 3D spectral line data. The archive would support capabilities like cone searches, getCapabilities queries, and virtual data access to enable workflows with the large 3D datasets.

Technology

B0DEGA 3D VO Archive
A prototype service for a catalog of
galaxy datacubes

Jose Enrique Ruiz
IAA - CSIC

IVOA Nara Fall Interop 07/12/2010

Context
• AMIGA
• B0DEGA

3D Archive
• discovery
• queryData
• accessData
• getCapabilities

Workflows
• A scenario for Virtual Data

Analysis of the interstellar Medium of Isolated Galaxies

PI : Lourdes Verdes-Montenegro
IAA-CSIC, IRAM
http://amiga.iaa.es

Obs. Marseille, Obs. Paris, CfA, ASIAA, MPIfA, IAC,
Univ. Alabama, Mc Donald Observatory, Arcetri, UNAM,
Kapteyn Astronomical Institute.

Need of a statistically significant sample of isolated galaxies, in order
to provide a baseline to compare with the behaviour of galaxies in
denser environments

Multiλ analysis ~1000 galaxias
+
Need of intensive and complex analysis of 3D data
2D spatial + 1 Velocity

AMIGA Catalog
• ConeSearch Service
• Web Interface

RADAMS
Radio Astronomy Data Model for Single-dish telescopes
Juan de Dios Santader-Vela

Robledo DSS-63 VO Archive
• ConeSearch Service
• SSA Service
• Web Interface

TAPAS
Telescope Archive for Public Access System
IRAM-30m VO Archive
• ConeSearch Service
• Web Interface

Below 0 DEgrees Galaxies

PI : D. Espada
Legacy project of Submillimiter Array interferometer (SMA)
http://b0dega.iaa.es

IAA-CSIC
CfA (Harvard-Smithsonian Center for Astrophysics)
ASIAA (Institute of Academia Sinica Astronomy and Astrophysics)

Molecular gas properties in circumnuclear regions of a large survey of nearby
galaxies. Spiral galaxies that have undergone recent interactions. Many
of them characterized by central starbursts.

30 processed and reduced datacubes of galaxies

Data needed by the Astronomer
• Decoupled coordinates
• Distances
• Morphological Type
• Bar
• Ring
• Multiple
• Linear diameter
• Masses
• Luminosities
• Inclination
• Position Angle

• SIAv2 Draft + SSA answer most of the issues
• Some tabular data from catalogs also needed
• SpecDM + CharDM cover most of all metadata
• A complete generic DM is needed for UTypes
• Virtual Data generation needed for huge files
• accesData standard params needed for Virtual Data
• getCapabilities method is key for building Workflows
• Upcoming facilities will provide 3D datacubes

The Andromeda Galaxy, or M31, is a spiral galaxy approximately 2.5 million light years away from the Milky Way. As the nearest large external galaxy, it allows us to study galaxy features not visible in our own Milky Way due to our position within the galaxy. Recent studies have shown that the disc and halo of the Andromeda Galaxy extend further than previously thought. Rafiei Ravandi et al 2016 extended previous surveys of Andromeda at mid-infrared wvalengths to produce a catalog containing 426,529 objects. We have used the Apache Spark API for Python in order to cross correlate these objects with previous astronomical catalogs, such as SIMBAD, NED, and MAST (over 11 million objects). The aim is to know whether the objects from the new survey are all part of the M31 galaxy or are part of the background or foreground. The Spark-Python code makes full use of Spark RDDs in order to join multiple catalogs in a single table; this helps us to predict if a particular object is in fact part of Andromeda. We used key-value pairs in order to reduce the data duplicate data from the MAST catalog, and using groupByKey, we can classify a particular astronomical object using previous catalogs. We can conclude that our new tool can help us to better understand multiple astronomical catalogs for the Andromeda galaxy, such as resolution between astronomical catalogs, and the region in the galaxy where the astronomical objects (such as X-ray binaries, or black holes) dwell.

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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams. Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

Securing your Kubernetes cluster_ a step-by-step guide to success !

KatiaHIMEUR1

Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster. However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks. In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.

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