THE IAC80 TELESCOPE DATA TO THE VIRTUAL OBSERVATORY Cristina Zurita - PowerPoint PPT Presentation

THE IAC80 TELESCOPE DATA TO THE VIRTUAL OBSERVATORY Cristina Zurita & IAC Support Astronomers Group

THE IAC80 Telescope@Teide Observatory The IAC80 telescope, at T eide Observatory since 1991  82 cm diameter.  The first of its class entirely developed in Spain.

IAC80@OT Instrumentation:  CAMELOT: CCD (direct optical imager).  TCP: Photometer (high speed photometry by window system).  MERLIN : Spectrograph. NOT YET! CAMELOT remains installed > 90% of the time 30000 images and 510 Gigabytes per year to the VO.

CAMELOT:  E2V back illuminated chip  Pixel size: 3.5x13.5 µm (0.304x0.304 arcsec)  Size: 2148 x 2048 pix 2  Field of View: 10.4 x 10.4 arcmin 2  Filter wheel with 12 positions and more than 60 filters available (Johnson, SDSS, Strömgren and narrow band)

IAC80@OT  ToO observations.  „Routine‟ mode.  Long term programs.  Simultaneous or multiband collaborations with other telescopes.  Student practice.  Instrumentation tests.

IAC80@OT  Photometric follow-up of planet candidates from COROT mission.  Observation of stellar occultations by TransNeptunian dwarf planet candidates.  Monitoring of blazars and quasars.  R-band photometry of M dwarfs in the CARMENES input catalogue.  Optical/NIR Observations of Newly Discovered X- Ray/Gamma-ray Sources.  Gamma-ray burst ToO observations.  …

IAC80@OT Pointings of the IAC80 telescope in 2009 (blue) and 2010 (red)

IAC80@OT

PROCESING AND PUBLISHING THE CAMELOT@IAC80 DATA

Observing Visitor, service or routine mode Reducing Pipeline python „ redcam ‟ Pipeline python Astrometry based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

Observing Visitor, service or routine mode Reducing Pipeline python „ redcam ‟ Pipeline python Astrometry based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

Observing Visitor, service or routine mode Reducing Pipeline python „ redcam ‟ Pipeline python Astrometry based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

Sorting according the readout Pipeline python mode „ redcam ‟ Sorting according the type Bias Flat Science Sorting according Master Bias the filter Master Flat Reduced Science image

Observing Visitor, service or routine mode Reducing Pipeline python „ redcam ‟ Pipeline python Astrometry based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

Observing Visitor, service or routine mode Reducing Pipeline python „ redcam ‟ Pipeline python Astrometry based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

Search for matches to patches of a two- dimensional set of points. The red circles are stars automatically detected by the algorithm in the image, and the green circles are stars from „astrometry.net‟ catalog or master index.

Pipeline python based on Define the size, scale “astrometry” and orientation. Restrict the searching from the approximate pointing Returns the astrometry world coordinate system (WCS) Astrometric calibrated Science image

Observing Visitor, service or routine mode Reducing Pipeline python „ redcam ‟ Pipeline python Astrometry based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

Observing Visitor, service or routine mode Reducing Pipeline python „ redcam ‟ Pipeline python Astrometry based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

Observing Visitor, service or routine mode Reducing Pipeline python „ redcam ‟ Pipeline python Astrometry based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

FTP Server Fixing headers Final Science DATA image Extracting header METADATA: parameters • Title Reference (image access URL) • POSRA (center RA) • • MINRA, MAXRA (min & max RA) POSDEC • • MINDEC, MAXDEC • Naxes (Number of image axes) Naxis (Length of image axes) • • SF_RefPixel (Reference pixel) SF_RefValue (Refernce value) • • CDMatrix (Image CD matrix) • Bandpass

We used the DALT oolKit publishing software to publish these data in the Virtual Observatory following the Data Access Layer (DAL) protocol specifications. Incoming standard DAL requests into database specific SQL queries and then serialize the database result into VOTable responses according to the VO standard.

Future plans:  Publish all the data from 2005 (THIS SUMMER) and older…  Publish all the narrow band filters in the SVO Filter Profiles Service. SOON  Publish the infrared data from the T elescopio Carlos Sánchez at Observatorio del T eide. NEXT YEAR