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Spectroscopy & Spectrographs

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1 Spectroscopy & Spectrographs
Roy van Boekel & Kees Dullemond

2 Overview Spectrum, spectral resolution Dispersion (prism, grating)
Spectrographs longslit echelle fourier transform Multiple Object Spectroscopy

3 Spectroscopy: what do we measure?
Spectrum = the intensity (or flux) of radiation as a function of wavelength “Continuous” sampling in wavelength (as opposed to imaging, where we integrate over some finite wavelength range) Note: In practice, when using CCDs for spectroscopy, one also integrates over finite wavelength ranges – they are just very narrow compared to the wavelength itself: Pixel width Δν << ν Sampling is continuous but the spectral resolution is limited by the design of the spectrograph Spectrum in classical sense holds no direct spatial information. Many spectrographs allow retrieving spatial info in 1 dimension, some even in 2 (“integral field units”)

4 Spectral resolution Smallest separation in wavelength that can still be distinguished by instrument, usually given as fraction of  and denoted by R: or alternatively useful, though somewhat arbitrary working definition

5 Basic spectrograph layout
a means to isolate light from the source in the focal plane, usually a slit “collimator” to make parallel beams on the dispersive element dispersive element, e.g. a prism or grating. Reflection gratings much more frequently used than transmission gratings “Camera”: imaging lens to focus beams in the (detector) focal plane + detector to record the signal

6 Dispersion Splitting up light in its spectral components achieved by one of two ways: differential refraction prism interference reflection/transmission grating fourier transform (Farby-Perot)

7 Prism Refractive index n of material depends on wavelength
Several approximate formulae exist to describe n(). “Sellmeier” equation is accurate over a large wavelength range and used by manufacturers of optical glasses: Bi and Ci are empirically determined coefficients. With 3 terms the Sellmeier approximation is accurate to 1 part in ~510-6 in the whole optical and near-infrared range

8 Prism general light path through prism: one can show that:
dispersion is maximum for a symmetrical light path dispersion is maximum for grazing incidence. Corresponding top angle  depends on refractive index of material. E.g. ~74° for heavy flint glass However: most light is reflected instead of refracted for grazing incidence. In practice, smaller  are used (60° and 30° are common choices)

9 Prism dispersion curve
strongly non-linear, dispersion in blue much stronger than in red part of spectrum

10 Prism spectrograph layout
Credit: C.R. Kitchin “Astrophysical techniques” CRC Press, ISBN 13:

11 Young’s double slit experiment
lens screen incident wave θ d θ

12 Young’s double slit experiment
lens screen Optical path difference: incident wave Phase difference: d ΔP θ Add the two waves: Intensity is amplitude-squared:

13 Young’s double slit experiment

14 Now a triple slit experiment...
lens screen Optical path difference: incident wave Phase difference: d ΔP θ Add the three waves, and take the norm:

15 Now a triple slit experiment...

16 Adding more slits... N=4

17 Adding more slits... N=5

18 Adding more slits... N=6

19 Adding more slits... 0th order 1st order 2nd order N=16

20 General formula of pattern
Exercise: Show that the 1/N2 normalization is correct.

21 Width of the peaks N=4 For one has

22 Width of the peaks N=4 For with one has

23 Width of the peaks N=4 Peak width is therefore: For with one has
(Later: Relevance for spectral resolution)

24 Now do 3 different wavelengths
0th order 1st order 2nd order N=4 Green is here the reference wavelength λ. Blue/red is chosen such that its 1st order peak lies in green’s first null on the left/right of the 1st order.

25 Now do 3 different wavelengths
0th order 1st order 2nd order N=8 Keeping 3 wavelengths fixed, but increasing N

26 Now do 3 different wavelengths
0th order 1st order 2nd order N=16 Keeping 3 wavelengths fixed, but increasing N

27 Now do 3 different wavelengths
0th order 1st order 2nd order N=4 Green is here the reference wavelength λ. Blue/red is chosen such that its 1st order peak lies in green’s first null on the left/right of the 1st order.

28 Now do 3 different wavelengths
0th order 1st order 2nd order N=8 Green is here the reference wavelength λ. Blue/red is chosen such that its 1st order peak lies in green’s first null on the left/right of the 1st order. Spectral resolution:

29 Let’s look at the 2nd order
0th order 1st order 2nd order N=8 Green is here the reference wavelength λ. Blue/red is chosen such that its 1st order peak lies in green’s first null on the left/right of the 1st order. Spectral resolution:

30 Let’s look at the 2nd order
m=0 m=1 m=2 m=3 m=4 N=8 Green is here the reference wavelength λ. Blue/red is chosen such that its 1st order peak lies in green’s first null on the left/right of the 1st order.

31 Let’s look at the 2nd order
m=2 N=8 Zoom-in around 2nd order Green is here the reference wavelength λ. Blue/red is chosen such that its 1st order peak lies in green’s first null on the left/right of the 1st order.

32 Let’s look at the 2nd order
m=0 m=1 m=2 m=3 m=4 N=8 Green is here the reference wavelength λ. Blue/red is chosen such that its 1st order peak lies in green’s first null on the left/right of the 1st order.

33 Let’s look at the 2nd order
m=0 m=1 m=2 m=3 m=4 N=8 Green is here the reference wavelength λ. Blue/red is chosen such that its 2nd order peak lies in green’s first null on the left/right of the 2nd order. Spectral resolution:

34 Let’s look at the 3rd order
m=0 m=1 m=2 m=3 m=4 N=8 Green is here the reference wavelength λ. Blue/red is chosen such that its 3rd order peak lies in green’s first null on the left/right of the 3rd order. Spectral resolution:

35 General formula N=8 m=0 m=1 m=2 m=3 m=4
Green is here the reference wavelength λ. Blue/red is chosen such that its mth order peak lies in green’s first null on the left/right of the mth order. Spectral resolution:

36 Building a spectrograph from this
Place a CCD chip here Make sure to have small enough pixel size to resolve the individual peaks.

37 Overlapping orders N=8 m=0 m=1 m=2 m=3 m=4
Going to higher orders means higher spectral resolution. But it also means: a smaller spectral range, because the “red” wavelengths of order m start overlapping with the “blue” wavelengths of order m+1

38 Effect of slit width triple slit lens screen incident wave d w

39 Effect of slit width single slit lens screen As we know from the
incident wave As we know from the chapter on diffraction: This gives the sinc function squared: w

40 Effect of slit width triple slit lens screen At slit-plane:
Convolution of N-slit and finite slit width. At image plane: Fourier transform of convolution = multiplication incident wave d w

41 Effect of slit width N=16 d/w=8

42 Effect of slit width N=16 d/w=8

43 Grating blazed reflection grating
many parallel “slits” called “grooves” Transmission gratings and reflection gratings width of principal maximum (distance between peak and first zeros on either side): “Blazing”: tilt groove surfaces to concentrate light towards certain direction  controls in which order m light of given  gets concentrated Credit: C.R. Kitchin “Astrophysical techniques” CRC Press, ISBN 13: blazed reflection grating

44 Grating, spectral resolution
blazed transmission grating resolution in wavelength:

45 Reflection grating with groove width w and groove spacing d

46 Basic grating spectrograph layout
Credit: C.R. Kitchin “Astrophysical techniques” CRC Press, ISBN 13:

47 Basic grating spectrograph layout
Note: The word “slit” is here meant with a different meaning: Not a dispersive element, but a method to isolate a source on the image plane for spectroscopy. From here onward, “slit” will have this meaning. Dispersive slit = groove on a grating. Credit: C.R. Kitchin “Astrophysical techniques” CRC Press, ISBN 13:

48 Longslit spectrum Very basic setup: entrance slit in focal plane, with dispersive element oriented parallel to slit (e.g. grooves of grating aligned with slit) 1 spatial dimension (along slit) and 1 spectral dimension (perpendicular to slit) on the detector Spectral resolution set by dispersive element, e.g. Nm for grating. Spectrum can be regarded as infinite number of monochromatic images of entrance slit projected width of entrance slit on detector must be smaller than projected size of resolution element on detector, e.g. for grating: where s is the physical slit width and 1 is the collimator focal length slit width often expressed in arcseconds: where F is the effective focal length of the telescope beam entering the slit spatial direction   

49 Example longslit spectrum
spatial direction  wavelength  high spectral resolution longslit spectrum of galaxy Continuum emission from stars, several emission lines from star forming regions in galaxy

50 Gratings: characteristics
Light dispersed. If d ~ w most light goes into 1 or 2 orders at given . Light of (sufficiently) different  gets mostly sent to different orders Light from different orders may overlap (bad, need to deal with that!) Spectral resolution scales with fringe order m and is nearly constant within a fringe order  ~linear dispersion (in contrast to prism!) Gratings are often tilted with respect to beam. Slightly different expression for positions of interference maxima: or equivalently i is the angle between the grating and the incoming beam. This expression is called the “grating equation”

51 The “blaze function” describes the transmittance of light transmitted
or reflected into each order. It is the “envelope” of the interference pattern (i.e. diffraction due to finite width of single groove, D)  + i [deg] I long  go into low m, short  go into high m m

52 Blaze function vs. wavelength
m

53 Free spectral range a b
“White” light coming in with wavelength between 1 and 2 light of wavelength  in first order (m1) is diffracted in same direction as light of /2 in m2, /3 in m3, etc. Free spectral range: largest  interval in a given order that doesn’t overlap the same  interval in an adjacent order. Credit: shaded area: free spectral range of order 2 light

54 practical example: We want to measure a spectrum starting from  = 400 nm in first order. What spectral range can we cover? Free spectral range is 400 nm in this case  nm We must insert a filter that blocks light of  < 400 nm and  > 800 nm to get a “clean” spectrum The optimum blazing angle  is such that the direction in which light of ~600 nm (~middle of  range) corresponds to the angle of geometrical reflection (with  and i defined in same direction w.r.t. normal):

55 practical example (cont’d):
If we wish higher spectral resolution, we may use a higher order. Smaller free spectral range, e.g for m = 2, nm for m = 3, etc. Use appropriate filters to block light outside these  ranges We can of course choose a different starting wavelength, e.g nm in order 3. Each combination of central wavelength order has its own optimum blazing angle . But for a given grating,  is fixed. Tilting the grating (i.e. change i) allows to control to which order light of given  is sent.

56 Order overlap in grating
Each order gives its own spectrum. These can overlap in the focal plane: at a given pixel on the detector we can get light from several orders (with different ) We must reject light from the unwanted orders. Solution: For low orders m (low spectral resolution, large free spectral range) one can use a filter that blocks light from the other orders For high orders m (the free spectral range is very small), use “cross disperser”: a second dispersive element (usually a prism), mounted with the dispersion direction perpendicular to that of the grating. Causes different orders to be spatially offset on the chip. Advantage: multiple orders can be measured simultaneously. High spectral resolution and large  coverage can be obtained simultaneously. “Echelle spectrograph”

57 Echelle grating Echelle grating
R  m. For high spectral resolution, use high order. Relatively large groove spacing (few grooves/mm) but very high blazing angle. Concentrate light in high orders. Strong order overlap (solution: “cross-dispersion”, more later ...) Echelle grating Credit: C.R. Kitchin “Astrophysical techniques” CRC Press, ISBN 13:

58 Echelle grating: cross dispersion
CCD m=103 m=102 m=101 m=100 m=99 m=98 m=97 m=96 Without cross dispersion: different wavelength ranges overlap. With cross dispersion: You get multiple short spectra. Note of caution: Above cartoon is not exact: colors should be sorted vertically; but it shows the principle of separating orders.

59 Echelle grating: cross dispersion
CCD m=103 m=102 m=101 m=100 m=99 m=98 m=97 m=96 Strong blazing angle means that you focus the light on the part of the focal plane where the CCD is. Avoids waste of light.

60 Echelle spectrograph optical layout
Cross dispersion with prism placed before grating high blaze angle, grating used in very high orders (up to m~200) coarse groove spacing (~20 to ~100 mm-1) at optical wavelengths  w > few  most light concentrated in 1 direction  at given  most light in 1 order Each order covers small  range, but many orders can be recorded simultaneously spectrum on detector order m 

61 Blaze function optical layout spectrum on detector order m 
Blazing angle defines in which order light of given  (mostly) ends up If sum of angles of “incoming” and “exiting” rays equals m/d (d is groove spacing), all light goes into order m (assuming “perfect”, lossless grating) For slightly smaller , part of the light goes into order m+1 order= spectrum on detector order m  Blaze function: “efficiency” of (an order of a) grating as a function of 

62 Format of cross- dispersed Echelle spetrogr. (Lick Observatory) echelle dispersion prism dispersion

63 Stellar spectrum

64 Spectroscopy & Spectrographs II
Roy van Boekel & Kees Dullemond

65 Some applications of spectroscopy
Stellar spectroscopy: temperature, composition, surface gravity, rotation, micro-turbulence Temperatures of interstellar medium, intergalactic medium radial velocities, mass and internal structure of stars, exoplanets Dynamics & masses of milky way and other galaxies (dark matter) Cosmology / redshifts spectro-astrometry (direct spatial information on scales << /D, relative between continuum emission and spectral lines) composition of dust around young & evolved stars, ISM

66 Different Resolution for Different Scientific Applications
Active galaxies, quasars, high-redshift objects: R ≈ ,000 Nearby galaxies (velocities 30…300 km/s): R ≈ 3, ,000 Supernovae (expansion velocity ≈ 3,000 km/s): R > 100 Stellar abundances: Hot stars: R ≈ 30,000 Cool stars: R ≈ 60, ,000 Exoplanet radial velocity measurements. E.g. R ≈ 115,000 (HARPS). Best accuracy currently reached ~1 m/s, “effective” R ≈ 300,000,000. How: centroid of a single line measured to much higher precision than spectral resolution + use many lines, precision scales like 1/sqrt(Nlines)

67 Exoplanet detection by radial velocity measurement
Planet is very difficult to observe directly. But planet and star rotate around common center-of-mass Star wobbles: Measure radial velocity of star (doppler). Small effect: Need Δv=1 m/s effective spectral resolution This means: Reff=c/Δv=3x108 !

68 Exoplanet detection by radial velocity measurement
Beat the spectral resolution limit! Flux λ Shifts of line centroid can be measured even if they are much smaller than the line width. Need: High signal-to-noise ratio and/or many lines.

69 Fourier transform spectrometer
I(P) P I(k) k by wavenumber by OPD position Incoming light is split 50:50 into two beams, then reflected. Both beams are combined, then focused onto detector one mirror is moveable, introduces path difference P for monochromatic source the intensity on the detector is: interference pattern, modulation with optical path difference (OPD)

70 Fourier transform spectrometer
for a given position P the intensity modulation due to light interfering from all wavelengths is: or, equivalently: Take I(-ν)=I(ν) so that we get: P (mm) I(P) Typical FTS interferogram

71 Fourier transform spectrometer
example spectrum taken with an FTS Thus, the output signal is the Fourier transform of the spectrum I() Note: Fourier Transform of a symmetric function is real-valued, so the output signal is the complete Fourier transform (no imaginary part exists). Inverse Fourier transform of the interferogram I(P) yields source spectrum I() Spectral resolution scales directly with total length of OPD scan (say, x): x can be up to ~2m  R can be several million in the optical

72 Multiple object spectroscopy
Often you want spectra of many objects in the same region on the sky Doing them one by one with a longslit is very time consuming When putting a slit on a source in the focal plane, the photons from all other sources are blocked and thus “wasted” Wish to take spectra of many sources simultaneously! Solution: “multiple object spectrograph”. Constructed to guide the light of >>1 objects through the dispersive optics and onto the detector(s), using: a small slit over each source (“slitlets”) a glass fiber positioned on each source “integral field unit”

73 Multiple slit(lets) approach
A slitlet is a longslit, but of much shorter length than most “single” longslits Normally done using focal plane “masks”: metal plates in which slitlets are cut, nowadays mostly done automatically by cutting devices using high-power lasers Advantages: (can do many objects simultaneously) small longslits: sample object and sky background in each slitlet  good sky correction in each spectrum slits can be cut in almost any shape (useful for extended sources) Disadvantages: a new mask must be made for each field, often more than 1 mask/field not complete freedom where to put slits (spectra should not overlap on detector)

74 Multi-object spectroscopy with slitlets
CCD slit CCD Wasted CCD real estate Wasted CCD real estate

75 Multi-object spectroscopy with slitlets
CCD CCD First do pre-imaging to find the stars/objects of interest + reference object Create mask using computer program (mask is then cut in metal plate with laser) Go back to telescope, do acquisition to center slits on objects Do spectroscopic integration

76 Multi-object spectroscopy with slitlets
CCD CCD But: Some slit combinations are forbidden: They would result in overlapping spectra

77 near infrared multiple- object spectroscopy with SUBARU/MOIRCS
Credit: unknown

78 Slitlets approach, “peculiarities”
Optical layout essentially the same as with normal (single) longslit, but instead of single slit ~centered in focal plane, multiple slits distributed over focal plane. Consequences: all slitlets have same dispersion direction  all slitlets must have similar orientation ~perpendicular to dispersion direction (simple straight slits exactly perpendicular to dispersion direction in most cases) wavelength scale is different for each slitlet, depending on its position if chip size limits spectral range (end - start) that fits on detector, then start and end depend on position of object (slit) on sky if two slits are close together in spatial direction but far apart in dispersion direction, spectra can overlap due to optical distortions

79 Slit width issues Spectral resolution is limited by R of the spectrograph... ...but also by the slit width. Conversely: Slit width ~ brightness of the spectrum on the CCD Optimum slit width is balance between low slit losses (wide slit) versus low background and high spec. res. (narrow slit) In general: Higher R requires longer exposure for same Signal-to-Noise ratio Lower R Brighter on CCD, but also more background noise Higher R Weaker signal, but less background noise

80 Seeing vs. spectral resolution
If the slit is wide, then it is the seeing that determines the spectral resolution: Good seeing conditions: high spectral resolution Bad seeing conditions: low spectral resolution

81 Slit width issues If flux calibration is important: Slight pointing errors could cause problems: Star is perfectly on the slit Slight offset yields much lower flux Defocusing the telescope can help! All flux is lower, but this can be calibrated.

82 MOS with fibers MMT / Hectochelle fiber head close-up
instead of putting a slitlet on each source in the focal plane, position the head of a glass fiber on each source (movable) fibers pass light of each object into the instrument put the other end of all fibers in a row and feed light into spectrograph result: one spectrum for each source, all spectra “nicely” aligned: wavelength scale the same for all spectra, and spectra regularly spaced in spatial direction Disadvantage: no spatial info, background subtraction using “sky” fibers. fiber head close-up

83 Integral Field Units A multiple object spectrograph is good at getting spectra of many sources in the same field Sometimes we would like to take a spectrum at every position of a spatially extended object (e.g. a galaxy). This can be done with an Integral field unit (IFU) We need to “catch” the light at each position, guide it through dispersive optics and project the spectrum of each position onto (a different part of) the detector. This can be done in two basic ways: Using an “image slicer” Using “lenslets” and fibers NOTE: It will have low spatial resolution, because 2D space + 1D λ have to fit on a 2D CCD...

84 JWST / MIRI Image Slicer Many narrow (~spatial resolution element) long slits, each with slightly different tilt effectively, do a large number of longslits simultaneously, send each slit into a different direction slits imaged next to each other on detector Credit: unknown

85 Gemini / CIRPASS “Lenslets” & Fibers Focal plane filled with “lenslets”. Each lenslet injects (nearly) all light falling onto it into a fiber Fibers are fed into a spectrograph, in the same way as with the fiber Multiple Object Spectrograph

86 Spectroscopy: procedure
Recording the data science observation calibration observations: flatfield, “arcs” ( calibration), spectro-photometric standard stars Data analysis/calibration going from raw data to a calibrated spectrum in e.g. [erg/s/cm2/Hz] Interpretation of spectra, i.e. what do we learn about the object? Use laws from your physics textbook or more elaborate numerical models of your science target to derive: Chemical composition of sources Thermal structure of objects Velocity structure of objects ...

87 Spectroscopic flat field
(Dome flat or twillight flat) spatial direction  slit “imperfections” dispersion direction 

88 Wavelength calibration
We measure intensity I as a function of pixel position on a CCD Part of the CCD ...but the CCD does not “see color” spectrum of target

89 Wavelength calibration
We measure intensity I as a function of pixel position on a CCD How do we know which pixel corresponds to which wavelength? Part of the CCD spectrum of target ...the CCD sees this Part of the CCD spectrum of lamp with known lines Illuminate spectrograph with a lamp with known lines before or after your observation. “arc”

90 Wavelength calibration: “arc”
spatial direction  dispersion direction 

91 Telluric + flux calibration
Find nearby spectro-photometric standard star, which has known flux-calibrated spectrum Extract the spectrum of the standard star(s). If the standard was taken immediately before and/or after the science exposure you can get a science spectrum that is corrected for telluric absorption and is flux calibrated as follows: where Fstandard is the (known) spectrum of the standard star

92 Telluric + flux calibration
More general approach if science target and standard star were not taken at (nearly) the same airmass: Possibility 1: observe standards at various airmasses and fit the instrument response R and the atmospheric extinction coefficient A (i.e. the same procedure as for photometry, but now at each wavelength instead of integrating over a filter). Calculate the calibrated science spectrum F from the raw science spectrum S observed at airmass am using F = S exp(A am) / R Possibility 2: Use a theoretical model for the Earth atmosphere and fit this to the calibrator observation and then extrapolate to the airmass of the science observation, or fit it to the science observation directly. Divide by synthetic spectrum to correct for Atmosphere. Use the standard star observation(s) for flux calibration.

93 Choosing standard stars
A “good” standard star has the following properties: it is comparatively bright (so we don’t need much time for calibration) its intrinsic spectrum is known perfectly it has as little spectral structure as possible, i.e. a “smooth” spectrum it is close to your science target on the sky The “best choice” depends on the application and  regime: Hot stars (spectral type B, the hotter the better) are much used because: they have relatively little spectral structure: H lines, weak lines of He and ionized metals, weak Balmer discontinuity If we study H lines in science target, calibrator should have no H lines G stars have relatively weak, narrow H lines (but many other lines, careful!) For mid-IR applications, we need mid-IR bright calibrators often limited to K and M type giant stars, + nearest hot stars

94 A note on telluric calibration
Optical regime: in most of the optical regime (~350 to ~1000 nm) the Earth atmosphere has no “structure” in its absorption spectrum, i.e. no atomic/molecular absorption lines. In the “red” part there are some lines (mainly O2 and H2O). There is, of course, scattering off molecules and aerosols causing substantial but smooth extinction. For work requiring no absolute calibration, e.g. measuring equivalent widths of lines in astronomical sources, no telluric calibration is required Infrared regime: Strong spectral structure in the atmospheric absorption spectrum (and in its emission spectrum!) Very careful telluric calibration needed, even if no absolute flux calibration is required.

95 Very high R work: peculiarities
For accurate  calibration, need to take Earth motion into account (orbital motion up to 30 km/s corresponding to R = 104, daily rotation up to 460 m/s corresponding to R = 6.5105) In the infrared, at high resolution the atmospheric opacity breaks up into very many narrow absorption lines. A specific spectral line you wish to measure may coincide with a telluric line and not be measurable at some instant, but due to the Earth’s orbital motion it may have red- or blue shifted out of the telluric absorption line later in the year. “Best time of year” depends on position of source w.r.t. ecliptic and the source radial velocity When  calibration must be extremely good (e.g. for Exoplanet radial velocity measurements) we cannot use separate  calibration frames, calibration must be done simultaneously with science observation. Use gas absorption cell or telluric lines

96 Quantifying “line strength”
The term “line strength” is not uniquely defined. Various ways of quantifying it exist: 1) Peak intensity Problem with low spectral resolution, because each “pixel” is an integral over the pixel width: Flux λ

97 Quantifying “line strength”
The term “line strength” is not uniquely defined. Various ways of quantifying it exist: 1) Peak intensity Problem with low spectral resolution, because each “pixel” is an integral over the pixel width: Flux Peak strength is underestimated λ

98 Quantifying “line strength”
The term “line strength” is not uniquely defined. Various ways of quantifying it exist: 2) Frequency-integrated flux in the line Advantage: Can also be measured with low-resolution spectrographs (if no continuum is present) Flux λ

99 Quantifying “line strength”
The term “line strength” is not uniquely defined. Various ways of quantifying it exist: 3) Equivalent width Only when a continuum is present Flux continuum absorption line λ

100 Quantifying “line strength”
The term “line strength” is not uniquely defined. Various ways of quantifying it exist: 3) Equivalent width Only when a continuum is present EW Flux continuum absorption line λ

101 Beat the spatial resolution limit!
Spectro-astrometry Beat the spatial resolution limit! Flux x [“] At each velocity channel the emission might be slightly shifted in space. Plot spatial shift as a function of velocity

102 Beat the spatial resolution limit!
Spectro-astrometry Beat the spatial resolution limit! Offset [AU at 160 pc] 0.006” 0.003” 0.000” -0.003” -0.006” From: Pontoppidan et al. 2008 SR 21 Diffraction limited resolution of VLT at 4.7 μm is 1.22λ/D=0.15”

103 Beat the spatial resolution limit!
Spectro-astrometry Beat the spatial resolution limit! 1000x higher resolution than this radio image! Brown et al. 2009

104 P Cygni line profiles: Stellar winds
star Flux v [km/s] blue red Star emits emission line. Wind is cooler at large radii. So the wind makes absorption line. But blue-shifted!

105 P Cygni line profiles: Stellar winds
λ [Å] Aspin et al. 2009 McNeal’s nebula is a reflection of light from a just-born star. This reflection appears only now-and-then: when the star has a “hickup” (outburst). The P Cyg Hα profile shows: mass is ejected during this outburst! Gemini Observatory/AURA, Travis Rector

106 Example of low-R Infrared spectroscopy
Origin of dust species in disk around young stars, solar system comets, and building blocks of planets Young star undergoes accretion outburst Amorphous dust turns into crystals Credit: Spitzer Science Center Abraham et al. 2009


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