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Spectroscopic Data ASTR 3010 Lecture 15 Textbook Ch.11
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Spectroscopic Data

Mar 23, 2016

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Spectroscopic Data. ASTR 3010 Lecture 15 Textbook Ch.11. Spectroscopic Measurement. CCD or other digital Detector. Schematic Diagram of a Typical Spectroscopic Data. Only Readout the relevant portion of CCD array. Spectroscopic data are typically long and slender. - PowerPoint PPT Presentation
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Page 1: Spectroscopic Data

Spectroscopic Data

ASTR 3010

Lecture 15

Textbook Ch.11

Page 2: Spectroscopic Data

Spectroscopic Measurement

CCD or other digital Detector

Page 3: Spectroscopic Data

Schematic Diagram of a Typical Spectroscopic Data

Page 4: Spectroscopic Data

Only Readout the relevant portion of CCD array• Spectroscopic data are typically long and slender.

to save the readout time and storage space…

Page 5: Spectroscopic Data

Actual Spectroscopic Data

• Similar to Imaging Data, a similar set of calibration images is obtained for spectroscopic observation same pre-processing!!o over-scan correctiono trimmingo bad-pixel correctiono cosmic ray hits removalo zero correctiono dark correctiono flat-fielding

Page 6: Spectroscopic Data

Unique spectroscopic calibration data

• Unlike imaging observations, two additional kinds of calibration data are obtained for spectroscopic observations.o arc images (wavelength correction)o smooth spectrum standards (telluric feature correction)o (and possibly flux standard stars = standard stars in imaging)

Page 7: Spectroscopic Data

Steps of spectroscopic data reduction

Array pre-processing

Spectrum Extraction

Wavelength Calibration

Telluric Correction

Interpretation of Spectra

bad pixel, bias, over-scan, trim, zero, flat-fielding

find trace extract normalize

using arc images (e.g., gas emission lines)

using stars with known smooth spectra

line width measurement, Teff, [Z/H], vsini, etc.

Page 8: Spectroscopic Data

Extraction of Spectra

finding the aperture and defining the sky regions apfind & apedit

words in greendenote correspondingIRAF commands for thetask

Page 9: Spectroscopic Data

spectral aperture is not always a horizontal line!

need to trace the aperture along the dispersion axis aptrace

Page 10: Spectroscopic Data

Wavelength calibration using Arc images• Excited lines from a combination of noble gases (He, Ne, Ar, Xe, Th, etc.)

using arc images, you can convert pixel numbers to wavelength!

identify

Page 11: Spectroscopic Data

How do we extract (find and trace) arc spectra?• or very faint objects?

• Use well exposed bright star spectrum as a reference!

Page 12: Spectroscopic Data

Normalization or Flux Calibration

continuum or splot

sensfunc and calibrate

continuum

Page 13: Spectroscopic Data

Telluric Correction

Telluric standard stars : stars with no (or very little) spectral line feature. low metallicity stars, white

dwarfs, fast rotating stars

telluric

Page 14: Spectroscopic Data

Plotting the extracted spectra and …

splot display the extracted spectrum and do simple operations on the spectrum such as continuum normalization and equivalent width measurements.

‘h’ + ‘k’

EW fit with A Gaussian to continuum=1

Page 15: Spectroscopic Data

Equivalent Width• Quantitative indicator of the strength of a spectral feature

• EW = area of the spectral feature

1.0

0.0

area = area

EW unit is the wavelength unit of the spectrum

Page 16: Spectroscopic Data

One caveat in spectroscopic pre-processing…

Flat images…flat images sometime taken w/wo the dispersing element.

Which one is better? Is only one kind useful?

Page 17: Spectroscopic Data

Flats in spectroscopic data

this spectrum is a combination of the above detector flat + spectral response of the system.

Flat-fielding is to remove the pixel-to-pixel sensitivity variation!Other gradual, global variation can be taken out later.

Page 18: Spectroscopic Data

In summary…

Important Concepts• Structure of the spectroscopic data• Steps of spectroscopic reduction

Important Terms• aperture tracing• telluric correction• equivalent width

good manual http://iraf.noao.edu/iraf/ftp/iraf/docs/spect.ps.ZChapter/sections covered in this lecture : 11.6