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

the iac80 telescope data to
SMART_READER_LITE
LIVE PREVIEW

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


slide-1
SLIDE 1

THE IAC80 TELESCOPE DATA TO THE VIRTUAL OBSERVATORY

Cristina Zurita & IAC Support Astronomers Group

slide-2
SLIDE 2

THE IAC80 Telescope@Teide Observatory

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

slide-3
SLIDE 3

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.

IAC80@OT

slide-4
SLIDE 4

CAMELOT:

 E2V back illuminated chip  Pixel size: 3.5x13.5 µm

(0.304x0.304 arcsec)

 Size: 2148 x 2048 pix2  Field of

View: 10.4 x 10.4 arcmin2

 Filter wheel with 12 positions

and more than 60 filters available (Johnson, SDSS, Strömgren and narrow band)

slide-5
SLIDE 5

 ToO observations.  „Routine‟ mode.  Long term programs.  Simultaneous or multiband

collaborations with other telescopes.

 Student practice.  Instrumentation tests.

IAC80@OT

slide-6
SLIDE 6

 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

slide-7
SLIDE 7
slide-8
SLIDE 8
slide-9
SLIDE 9

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

IAC80@OT

slide-10
SLIDE 10

IAC80@OT

slide-11
SLIDE 11

PROCESING AND PUBLISHING THE CAMELOT@IAC80 DATA

slide-12
SLIDE 12

Observing Visitor, service

  • r routine mode

Reducing Pipeline python „redcam‟ Astrometry Pipeline python based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

slide-13
SLIDE 13

Observing Visitor, service

  • r routine mode

Reducing Pipeline python „redcam‟ Astrometry Pipeline python based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

slide-14
SLIDE 14

Observing Visitor, service

  • r routine mode

Reducing Pipeline python „redcam‟ Astrometry Pipeline python based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

slide-15
SLIDE 15

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

slide-16
SLIDE 16

Observing Visitor, service

  • r routine mode

Reducing Pipeline python „redcam‟ Astrometry Pipeline python based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

slide-17
SLIDE 17

Observing Visitor, service

  • r routine mode

Reducing Pipeline python „redcam‟ Astrometry Pipeline python based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

slide-18
SLIDE 18

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.

slide-19
SLIDE 19

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

slide-20
SLIDE 20

Observing Visitor, service

  • r routine mode

Reducing Pipeline python „redcam‟ Astrometry Pipeline python based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

slide-21
SLIDE 21

Observing Visitor, service

  • r routine mode

Reducing Pipeline python „redcam‟ Astrometry Pipeline python based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

slide-22
SLIDE 22

Observing Visitor, service

  • r routine mode

Reducing Pipeline python „redcam‟ Astrometry Pipeline python based in „astrometry‟ Fixing headers Script python Extracting header parameters Script python METADATA DATA

slide-23
SLIDE 23

Fixing headers Final Science image

DATA

Extracting header parameters

FTP Server

METADATA:

  • 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
slide-24
SLIDE 24

We used the DALT

  • olKit 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.

slide-25
SLIDE 25
slide-26
SLIDE 26
slide-27
SLIDE 27
slide-28
SLIDE 28
slide-29
SLIDE 29
slide-30
SLIDE 30

Future plans:  Publish all the data from 2005 (THIS SUMMER) and

  • lder…

 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