VIM Visual Integration and Mining THE US NATIONAL VIRTUAL OBSERVATORY

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Presentation transcript:

VIM Visual Integration and Mining THE US NATIONAL VIRTUAL OBSERVATORY A Tool to Explore Your Sources Roy Williams Caltech

Start with your sources (currently <1000) Multiple named sky positions Simple text (RA,Dec,ID) Text wizard (NVO table importer, today 17.10) VOTable of positions (local or url) Push positions from NVO portal

Getting Data about your sources

Skyview cutouts in many wavelengths Cen A @ 840 MHz hover mouse to enlarge

Skyview cutouts in many wavelengths Abell clusters in optical and X-ray

Spectra from VO SSAP services Hover mouse on thumbnail to see larger image Spectral Collections from JHU brokered by NRAO: Arecibo Maser Catalog 2dFGRS SDSS DR5

Getting Data about your sources Proximity search

Multicone radius Proximity Search = user-supplied sources + radius returns VOTable radius

VIM tables structure Multiple matches per source Can join to sources (outer or nearest) RA Dec ID sources Cat1 Cat2

Shakbazian galaxy groups prox search in Simbad

Table column metadata NED metadata

Choose which columns to display Compute new columns, eg joint IR-optical colors

Visualization by download & use Topcat

Architecture Vim All the relevant information about your sources -- mashups from the VO -- kept for you in persistent storage -- view, mine, download Registry Inventory NVO portal Catalogs (cone) Images (Skyview) Spectra (SSAP) upload sources browser Vim HTML + AJAX python api personal persistent storage

Auto-script: Clicking builds script Can edit script and rerun

Vim auto-scripting # got some sdss sources from Vizier, a 12 minute radius with rmag<21 # about 773 sources found sources.run(bench, open(‘mysources.votable').read()) # run 2mass prox search at 2 arc seconds proxsearch.run(bench, survey='2MASS-PSC', sr=0.00055556, tablename='_2mass', verb='1', maxthreads='10') # merge with the sdss join.run(bench, tablename='_2mass', match='best') # select rows with non-null j magnitude (i.e. thos in 2mass) # we get abouyt 148 remaining selectrows.run(bench, tablename='sources', criterion='! NULL__2mass_j_m') # compute 2mass-J - SDSS-r addcol.run(bench, tablename='sources', colname='JminusR', expression='_2mass_j_m - rmag') # compute 2mass-H - SDSS-z addcol.run(bench, tablename='sources', colname='Hminusz', expression='_2mass_h_m - zmag') # then download sources.votable from Utility/ViewAllFiles, and plot with topcat

WebServer or Laptop install Scalable VIM Features WebServer or Laptop install Pure python webserver (CherryPy) Scalable Auto-script, edit, rerun paradigm Powered by Stilts (2,000,000,000 rows !) Simple sharing Share your workbench by emailing a URL http://envoy5.cacr.caltech.edu:8888/?benchID=7462948574635185948473627485958433 Can write-protect with password

Content Display VIM Features Any cone search (all 1000’s in VOregistry) Cutouts from Skyview NVO Inventory services Spectra via SSAP (from NRAO) Thumbnails and images and FITS Display Column selection, Row sort/select Images small-hover-large Tools and metadata choice AJAX progress for data fetching …but not Safari :-(

NVO Portal: Using the registry to get catalogs

NVO Portal: Finding catalogs by spatial correlation

NVO Portal: Inventory service my sources (1000’s of catalogs ingested) Catalog A: Perfect correlation Catalog B: Weak correlation my sources Catalog C: No correlation (1000’s of catalogs ingested)

Questions?