Radio Interferometers’ Data Archives how to find, retrieve, and image radio data: a lay-person’s primer Michael P Rupen (NRAO)

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Presentation transcript:

Radio Interferometers’ Data Archives how to find, retrieve, and image radio data: a lay-person’s primer Michael P Rupen (NRAO)

By the end of this talk, you should know: The standard radio imaging surveys that provide FITS images The standard radio imaging surveys that provide FITS images How to find your source in the VLA/VLBA archives How to find your source in the VLA/VLBA archives How to choose which data to download from those archives How to choose which data to download from those archives That there is an easy method to convert those data into preliminary images That there is an easy method to convert those data into preliminary images

Sources of radio data: Surveys Will soon cover entire sky at <= 1.5 GHz Will soon cover entire sky at <= 1.5 GHz Resolutions typically 45 arcsec Resolutions typically 45 arcsec RMS noise of 0.5 mJy (NVSS/1.4 GHz, >-40) RMS noise of 0.5 mJy (NVSS/1.4 GHz, >-40) to 2 mJy (SUMSS/0.84 GHz, <-30) to 2 mJy (SUMSS/0.84 GHz, <-30) Postage stamp servers  JPG/FITS images Postage stamp servers  JPG/FITS images NVSS: NVSS:

Sources of radio data: Surveys Several other sky surveys: WENSS, 4MASS/VLSS, FIRST, … Several other sky surveys: WENSS, 4MASS/VLSS, FIRST, … Many nifty targeted, special-interest surveys Many nifty targeted, special-interest surveys –Canadian Galactic Plane Survey (CGPS) –WHISP, BIMA-SONG –VLBI: MOJAVE, Radio Reference Frame Image Database, DRAGN, VLBA Calibrator Survey, … –SIRTF/Spitzer First Look Survey

Sources of radio data: Archives NRAO NRAO –Very Large Array (VLA): the workhorse, ~3 TB of data! –Very Long Baseline Array (VLBA) –Green Bank Telescope (GBT) –Returns raw data via ftp Australia Telescope Compact Array (ATCA) Australia Telescope Compact Array (ATCA) – to get raw data MERLIN (England) MERLIN (England) Working on processing all data for public use! Working on processing all data for public use! Others Others –do not exist (WSRT, OVRO, PdBI, GMRT) –painful to search (BIMA, EVN/JIVE)

Finding radio data: choosing the telescope North or south? North or south? –Dec >-40  VLA/VLBA Dec> 0  MERLIN Dec> 0  MERLIN –Dec <-30  ATCA Desired resolution & source size? Desired resolution & source size? –VLA/ATCA: arcsecond to arcmin resolution over few to 10s of arcminutes –MERLIN: 10s of milliarcseconds res’n over arcmin –VLBA: milliarcsecond res’n over arcseconds

Finding radio data: checking the (VLA) archive Search Search by name (SIMBAD) source name (SIMBAD) or position + radius or position + radius VLA configuration VLA configuration obs. frequency obs. frequency Check Obs. Summary Table Check Obs. Summary Table Actively evolving – feedback is very welcome!!!

Finding radio data: checking the (VLA) archive Returns:  Date  Observing frequency  Configuration Field of view Resolution Largest angular scale Time on source Theoretical rms noise Number of channels Bandwidth Stokes

Choosing your data: resolution “So it’s easy: you always use A configuration!” Well…no…: Surface brightness sensitivity: you want to match the resolution to the source size, for maximum sensitivity Surface brightness sensitivity: you want to match the resolution to the source size, for maximum sensitivity Chromatic aberration Chromatic aberration Interferometers act as spatial filters…and you’re quite likely to high-pass filter your source away Interferometers act as spatial filters…and you’re quite likely to high-pass filter your source away  B

Choosing your data: missing structure Interferometers have the resolution of a telescope the size of the antenna separation (e.g. kilometers) Interferometers have the resolution of a telescope the size of the antenna separation (e.g. kilometers) Unfortunately that size scale’s the only one they measure! Unfortunately that size scale’s the only one they measure! –hence the need for >> 2 antennas –hence the need for >> 2 antennas If you have lots of telescopes widely separated from one another, you learn lots about the fine- scale source structure…and nothing at all about the source as a whole. If you have lots of telescopes widely separated from one another, you learn lots about the fine- scale source structure…and nothing at all about the source as a whole. Archive reports LAS= largest angular scale Archive reports LAS= largest angular scale

A real-life example A 0.3” B 1.3” C 4” D 15”

Cas A: four VLA configurations A 0.3” B 1.3” C 4” D 15” A+B+C+D 0.3” + total flux

Finding radio data: checking the (VLA) archive Returns: Date Observing frequency Configuration Field of view Resolution Largest angular scale Time on source Theoretical rms noise Number of channels Bandwidth Stokes

Choosing your data: sensitivity Archive reports BW, time on source, and theoretical rms noise (what you could get in a perfect world) Archive reports BW, time on source, and theoretical rms noise (what you could get in a perfect world) Longer observations are better Longer observations are better –even more true for interferometers More bandwidth is good More bandwidth is good –apart from spectroscopy, chromatic aberration, etc. Some frequency bands are more sensitive than others Some frequency bands are more sensitive than others –depends on the instrument –5 or 8 GHz probably a good bet  1/2

Finding radio data: checking the (VLA) archive Returns: Date Observing frequency Configuration Field of view Resolution Largest angular scale Time on source Theoretical rms noise Number of channels Bandwidth Stokes

Choosing your data: special purposes Spectral line Spectral line –total bandwidth must cover the entire line –spectral resolution is BW/N chan Polarization Polarization –Stokes field reports available correlations (eventually will move to RCP, linear, circular, full) –need a long run for standard pol’n calibration

Choosing your data: ease of reduction Continuum is easier than spectral line Continuum is easier than spectral line –single-channel data are simplest “Center” frequencies are easier than edges “Center” frequencies are easier than edges –1-15 GHz is easier than 15 GHz VLBI is trickier than VLA/ATCA VLBI is trickier than VLA/ATCA New data are better than old New data are better than old

Finding radio data: checking the (VLA) archive Returns: Date Observing frequency Configuration Field of view Resolution Largest angular scale Time on source Theoretical rms noise Number of channels Bandwidth Stokes

Dealing with data: a first look The archives send raw uv-data, not images The archives send raw uv-data, not images Quick & dirty processing: VLARUN, VLBARUN Quick & dirty processing: VLARUN, VLBARUN (kudos to Loránt Sjouwerman ) –can get reasonable quick-look images in a few minutes, with no special punditry required Steps: Steps: –AIPS –Load in data (FILLM) –Set array configuration; image size; depth of deconvolution –VLARUN  calibrated data & images –Write them out (FITTP) N.B.: why not just give people images?!? N.B.: why not just give people images?!?

M51: Surveys… NVSS: 45” res’nFIRST: 5.4” res’n

Finding radio data: checking the (VLA) archive Obs. Frequency 1.4 GHz for size Configuration C for res’n (15”) + large structure Exposure time Longest available Continuum

…and the archive 20cm: 15” res’n

3C433: NVSS… 20cm: 45” res’n

…and the archive: B C D B+ C+ D  4cm  1.5” res’n Elapsed time: ~1 hour

Dealing with data: a first look Failures tend to be obvious: Failures tend to be obvious: –it is easier to destroy than to create! –the wackier the image, the easier it is to fix IC10

IC10 …et voilá!Flag two 10-second records…

The future Actively working on improving the archive Actively working on improving the archive –already producing lots of good stuff e2e is required for ALMA and the EVLA e2e is required for ALMA and the EVLA Lots of new radio telescopes coming this decade: SMA, EVLA, ALMA, eMERLIN, … Lots of new radio telescopes coming this decade: SMA, EVLA, ALMA, eMERLIN, …  a good time to learn!