Presentation is loading. Please wait.

Presentation is loading. Please wait.

Agile: A Time-Series CCD Photometer to Study Variables Anjum Mukadam, Russell Owen, Ed Mannery University of Washington, Seattle.

Similar presentations


Presentation on theme: "Agile: A Time-Series CCD Photometer to Study Variables Anjum Mukadam, Russell Owen, Ed Mannery University of Washington, Seattle."— Presentation transcript:

1 Agile: A Time-Series CCD Photometer to Study Variables Anjum Mukadam, Russell Owen, Ed Mannery University of Washington, Seattle

2 Talk dedicated to Dr. R. E. Nather The concept of Agile is based on Argos, a time- series photometer at the 2.1m telescope at McDonald Observatory. Nather & Mukadam 2004, ApJ, 605, 846

3 Plan of Talk Difference between imaging and time- series photometry Why build a time-series photometer? Requirements of a good time-series photometer Instrument Design Just commissioned on March 19 at the Apache Point Observatory 3.5m telescope

4 Photometry vs. Time-series photometry Good CCD photometer High quantum efficiency Suitable resolution for well sampled PSFs Sufficiently large Field-Of-View for several comparison stars Good time-series CCD photometer (in addition to above) Good Timing Accurate start time Precise exposure duration No mechanical shutters, no time-shared data computer! Good time Short exposures & negligible dead time ResolutionSmall read time & Low read noise

5 Time-Series Photometer on the McDonald 2.1m VS. Low resolution spectrograph on HET in imaging mode (9.2 m)

6 S/N higher for Time-Series Photometer on the 2.1m by a factor of 1.5!

7 Agile: Field of View & Platescale 1024 x 1024 active pixels (pixel size 13μ x 13μ) Nasmyth focus of the 3.5m telescope at Apache Point Observatory Present Field of view 1.3 arcmin x 1.3 arcmin & Platescale 0.077 arcsec/pixel Two-element Focal Reducer planned for May FOV 2.6 arcmin x 2.6 arcmin Platescale 0.15 arcsec/pixel

8 Instrument Timing Frame transfer initiated by using GPS synchronized pulses (1 microsecond uncertainty in hardware; expect ≤1 millisecond uncertainty in software) A new exposure starts and the previous one ends with the arrival of a new pulse. Pulses control exposure start time and duration.

9 GPS synchronized pulses to trigger frame transfer Analog pixel values from the CCD camera Digitized pixel stream leaving the electronics controller for the computer

10 Agile: Read Noise & Read Rate (16 bit digitization) Readout time 1.1s (unbinned full frame) Read Noise ~8 e - /rms @ 1 MHz Readout time 11s (unbinned full frame) Read Noise ~5 e - /rms @ 100 KHz Thermoelectric cooling, T CCD ~ -45C Dark count 1-2 counts/s

11 Wavelength Response: As Blue As Possible

12 Mounting Agile at the 3.5m in 10 minutes

13 Noise in light curves as a function of magnitude Log RMS Scatter 2015 Agile Nasmyth APO 3.5m (expected) Argos PFC McD 2.1m

14 First Light for Agile on March 19 G117-B15A, APO 3.5m, 10s exp, BG40 filter

15 Motivating science for a time-series photometer Pulsating stars, Asteroseismology (Only systematic way to study the stellar interior) Cataclysmic Variables Planetary transits Stellar flares

16 Indian Astronomical Observatory: World’s highest optical telescope at 15000 ft

17

18

19

20

21 Data through some clouds: G232-38

22 Short is relative!


Download ppt "Agile: A Time-Series CCD Photometer to Study Variables Anjum Mukadam, Russell Owen, Ed Mannery University of Washington, Seattle."

Similar presentations


Ads by Google