33
SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management L. Pasquini July 2002 Once the science case is developed, a long path goes to the exploitation of the science data taken with the instrument. This includes

SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

Embed Size (px)

Citation preview

Page 1: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

From Science to Science

System view

Fundamentals of Echelle Spectroscopy and other components End - to - End operations

Verification

Management

L. Pasquini July 2002

Once the science case is developed, a long path goes to the exploitation of the science data taken with the instrument. This includes

Page 2: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

System View 1

L. Pasquini July 2002

Astronomers are those who know how the instrument has to perform: they are the best people to provide with Technical (or at least Level 1) Requirements. .. One Instrument is not the sum of its components; it is much more; to obtain the goal prefixed the different components need to be balanced.

Some additional aspects, which are peculiar to the astronomers, are: How do I want to operate the instrument ? How am I going to reduce the data ? How can I calibrate it ?

( ‘oh, that is only software’…..)

Page 3: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

System View 2

L. Pasquini July 2002

Page 4: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

System View 3

L. Pasquini July 2002

Page 5: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 1

L. Pasquini July 2002

2D large detectors have made of (cross dispersed) Echelle spectroscopy the most efficient way of performing high resolution spectroscopy. A few concepts and formulae (see e.g. Gray 1996 (The observations and analysis of stellar photospheres), Schroeder 2002 (Astronomical Optics), or Born and Wolf for details on the formulae):

Angular Dispersion: dß/dλ the angular difference between two rays of wavelength difference dλ emerging from the disperser. Different dispersing element have different angular dispersion laws.

Page 6: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 2

L. Pasquini July 2002

Linear Dispersion: The linear separation on the focal plane for two rays of dλ For collimated light incident on a disperser dl/dλ = f*dß/dλ

The resolution observed is NOT the disperser resolution, rather given by the width of the entrance ‘slit’ as mapped onto the spectrum formed in the focal plane of the camera.

Telescope scale (Arcsec/mm) S = 206265 / f (f = telescope focal length)

Page 7: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 3

L. Pasquini July 2002

Grating Equation: mλ = d(sinß + sin α) m = order number λ=wavelength d = groove distance α=incident angle ß=diffracted angle dß /dλ = m /d cosßAngular dispersion can be increased either by increasing the number of grooves/mm (smaller d) or by working at high orders m (Echelle spectrographs).

The higher the orders, the smaller will be the FREE SPECTRAL RANGE: two wavelengths in fact will overlap as soon as mλ = (m+1) λ’

Dλ = λ’ - λ = λ/m

The higher the order, the shorter is the FREE SPECTRAL RANGE. Given angular dispersion and wavelength, the larger is the number of lines/mm, the larger is the FREE SPECTRAL RANGE.

Page 8: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 4

L. Pasquini July 2002

Without a shape, the intensity, which is the interference pattern modulated by the diffraction (blaze) pattern, will have maxima at 0 order…. Not really optimal for an astronomical spectrograph!

To increase the efficiency the grating surface is blazed so to produce a the desired phase shift between the base and the edge of the grooves. (Rayleigh 1988 suggested it in 1988, first ruling in 1910!) The maximum energy is therefore moved to higher orders.The maximum intensity is produced at the angle for which the light would be reflected.

That is why echelles are produced: working at high orders with the highest efficiency

Page 9: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 5

L. Pasquini July 2002

Resolution and Aperture:(Littrow case: α=β=θ)

R* φ = 206265*2B tang(δ) / D

φ = arcseconds in the sky, B = spectrograph beam (on the grating), δ = echelle (blaze) angle (tang(δ) = 2 called R-2, 3 R-3, etc..) D = Telescope DiameterWhere the numerator indicates the path difference of marginal rays spanning the grating.

Page 10: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 6

L. Pasquini July 2002

Resolution and Aperture:(Littrow case)

R* φ = 2B tang(δ) / D R Independent of wavelength (1st approx. R in Km/sec) R is Independent of the number of lines/mm of the echelle

Larger Telescope or higher resolution: either larger Beam (costs and space), or very high Echelle angles (limits at R4, efficiency) , or smaller sky aperture (slit losses, it enhances the case of excellent seeing).

With an 8M telescope, a 20 cm beam, to obtain a R* φ = 40000 an R4 is necessary.

Page 11: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 7

L. Pasquini July 2002

Slit Projection: Given a slit of Width W and height H, and its projections on the detector W’ and H’ we find (neglecting anamorphism) :

W’ = W * fcam / fcoll = (Arcsec)/206265 * ftel * fcam/fcoll

W’= φ*Dtel*fcam/Dcoll (Ftel=Fcol)

W’ = (Arcsec) = 206265*W’ *fcoll / (ftel*fcam) With: ftel, fcam, fcoll = focal length of telescope, camera, collimator fi = Di * Fi

Page 12: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 8

L. Pasquini July 2002

W’ = W * fcam / fcoll = φ*Dtel*fcam/Dcoll φ= W’*fcoll / (ftel*fcam)=W’*Dcoll/Dtel*fcam With: ftel, fcam, fcoll = focal length of telescope, camera, collimator fi = Di * Fi The larger the telescope, the most difficult is to have many arcsec/pix. For a 15 microns pixel at VLT(f=120 m), Phi = 0.026 * fcoll / fcam or at most 0.2-0.3 arcsec/pixel.(trade-off between sampling, resolution, S/N ratio) Consider W’ =(Arcsec)/206265 * ftel * fcam/fcoll at most Fcoll=Ftel and Dcoll=Dcam --> W’ = Dtel*Fcam / 206265 !! With 0.015mm pixel and D=8 meter Fcam=0.39!! Independent of any optics in he middle. Arcsec/Pix on the detector is one of the few basic parameters for starting a design. Typical is to follow Nyquist criterium of projecting the slit on at least 2 detector pixels. This is independent of the disperser and of the resolution wanted, rather with the sky aperture which I want to observe and to project on the detector

Again: which science ? , which is the typical seeing + image quality at the telescope ? (see e.g. AVES!)

Page 13: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 9

L. Pasquini July 2002

Order Separation:

In MOS spectroscopy, done with a pre-disperser or filter (e.g. CES, GIRAFFE)

Crossdisperser Echelle : Grating: Dy = C * λb^2 + Large order separation is easily obtained, many possible choices off-the-shelves + Large size grating are available, large choice of lines/mm , blaze - Second order contamination (coverage 1 octave), sometimes efficiencyPrism: Dy = C / λb + No second order contamination, nice use of detector space, high efficiency - Limited order separation, prism size Grism: Dy = C*λb^(α) with α < 2. + Nice use of detector space, transmission (geometry), no anamorphism, small camera - Size of grism, sometimes transmission, second order contamination

Page 14: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Echelle Spectrographs 10

L. Pasquini July 2002

Grism as X-disperser: Harps

Page 15: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Detector Characteristics

L. Pasquini July 2002

Detector QE: Number photons arrived / number of electrons read Detector Noise: RON (e-/read pixels), Dark Current: (e-/physical pixel/hour)

We are approaching ‘ultimate’ detector: high QE, RON<2 e-/pix, DC < 1 e-/pix/hour QE can be optimized on the spectral range of interest

Page 16: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Signal-to-noise ratio

L. Pasquini July 2002

S/N ratio : S/N = S/(S + nbpix* RON^2 + npix*DK + NSKY)^0.5 Poisson Noise + RON noise (binned pixel) + Dark Current (real pixel)+ SKY λ*N phot =C* Eff* Area* 10^-0.25*( mn + Aλ*Airm) (photons/Angstrom/Sec)

Eff= System efficiency mn=monochromatic magnitude Aλ= Atmospheric Absorption coefficient at given wavelength. Airm= Airmass of the observation For high dispersion: Objects photons over many pixels: RON Relevant SKY/pixel can be low. ----> small aperture ---> low sky SEEING and small apertures are relevant for faint object spectroscopy!

Page 17: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Signal-to-noise ratio

L. Pasquini July 2002

Expected perorfmances of GIRAFFE a VLT (15,30,60,120 minutes integration): GIRAFFE has two gratings: at low resolution S/N ratio is higher because of more source photons/pixel.

Note the change of slope when RON and SKY start to be relevant. For the same reason curves at different integration times are not perfectly parallel.

Page 18: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Pushing the Limits

L. Pasquini July 2002

To push the faint limits we need:

1) High Efficiency

2) Little SKY: a) Small Aperture b) Resolution

3) Spread of the resolution element over minimum number of pixels..

Quantitative spectroscopy of stars in external galaxies Solar stars in Sagittarius, LMC

Page 19: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

THE AVES CONCEPT

L. Pasquini July 2002

USE AN INTERMEDIATE RESOLUTION SPECTROGRAPH BEHIND AN AO SYSTEM!

Even IF AO does not provide high Strehl Ratios in V-R-I, still concentrate flux..

Minimize aperture ( 0.3 arcseconds): minimize sky, small instrument

(Pasquini et al. 1998, Pallavicini et al. 2000 SPIE conference)

Page 20: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

THE AVES CONCEPT

L. Pasquini July 2002

CROSSDISPERSED ECHELLE SPECTROGRAPH OPTIMIZED FOR RED (500-1000 nm): Coatings, CCD !

79 lines/mm R2 echelle: Most efficient ever built, coated

PRISM crossdisperser: Very efficient! R = 15000 with a 0.3 arcsecond aperture at VLT and only a 5 cm beam!

0.1 arcseconds/pixel (3 pixel sampling)

Page 21: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

THE AVES DESIGN

L. Pasquini July 2002

Page 22: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

THE AVES PERFORMANCES

L. Pasquini July 2002

Overall efficiency assumed 0.16

Page 23: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Fibres

L. Pasquini July 2002

The fibres work because of total reflection between the fibre interior and the external cladding. No polarization information carried on, good scrambling, good transmission

Fibre core: the real aperture (50 microns and larger)

Page 24: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Fibres Transmission

L. Pasquini July 2002

Fibre transmission: Typically very good in the red, (dry fibres) , poor in Blue - UV, although can be used for short length (wet fibres) To minimize losses a lot of care must go into Fibre Coupling: Coupling between fibres and optical surfaces (e.g. microlenses)

Page 25: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Fibres FRD

L. Pasquini July 2002

Focal Ratio Degradation: The F/ratio degrades to typically a faster beam (e.g F/6-F/4)-This has to be taken into account when designing an instrument.. To avoid vignetting , best case around F/3..

Page 26: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Fibres Scrambling

L. Pasquini July 2002

Scrambling: passing through the fibres the light ‘forget’ the input spatial distribution to a large extent. This is a very important characteristic for some applications, such as accurate radial velocities studies.

Page 27: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

End to End Operations

L. Pasquini July 2002

Even if instrument concept may have not change dramatically, Operations did!

User - Community Visitor -Service

Archive ?

Calibrations ! Calibration Plan

Data Reduction - Pipelines

Instrument and Data quality control

Page 28: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Quality Control

L. Pasquini July 2002

User - Community Visitor - Service

Archive ?

Calibrations ! Calibration Plan

Data Reduction - Pipelines

Instrument and Data quality control

Page 29: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Quality Control

L. Pasquini July 2002

Page 30: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Verification 1

L. Pasquini July 2002

Technical Specs need to be VERIFIED, through a VERIFICATION MATRIX

remember that good technical specs. REQUIRES numbers !

These are done through ACCEPTANCE PROCEDURES

and COMMISSIONING PERIOD(S).

Following a COMMISSIONING PLAN aimed at verifying the Performances and assess the instrument performances and its operations.

Page 31: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Verification 2

L. Pasquini July 2002

Page 32: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Management Tools

L. Pasquini July 2002

Project Management Tools help to ensure that the project is finished (do not guarantee..)

a) Fulfilling the technical requirements (QUALITY)

b) Within the allocated funds and manpower (BUDGET)

c) In the specified period (SCHEDULE)

As somebody said : Pick up TWO !!

Page 33: SPECTROSCOPY From Science to Science System view Fundamentals of Echelle Spectroscopy and other components End - to - End operations Verification Management

SPECTROSCOPY

Management Tools

L. Pasquini July 2002

E S O

or E S O C om m unity

o r C ons ortium

ID E A

IN Sand

C ons o rtium

A N A L Y S IS

E S OE xecutive

E V A L U A T IO N

S T C

S tatem ent o f Interes t

IN S and

C ons o rtium

D E S IG N / P L A N

E S O D .G .

IN T E R N A L A P P R O V A L

S T C

R E C O M M E N D A T IO N

F C / C ounc il

F IN A L A P P R O V A L

F A B R IC A T IO N / A IT

C ons o rtium P .I.IN S P ro ject R es pons ib leIN S S c ientis t

C ons o rtium P .I.IN S P ro ject R es pons ib leIN S S c ientis t

D E T A IL E D S T U D Y IN S T A L L A T IO N /C O M M IS S IO N IN G

C ons o rtium P .I.IN S P ro ject R es pons ib leIN S S c ientis t

F U L L O P E R A T IO N

P a rana l A s tronom er R es pons ib leIN S S c ientis t

S T A R T o f O P E R A T IO N S

IN S S c ientis tP a rana l A s tronom er R es pons ib le

C .D .R .

P lan

B udgetC ontract

P D R / F D R P A E

Stu

dyD

ecis

ion

Dev

elop

men

tO

pera

tion

VL T INS TR U ME NTS DE VE L O P ME NT TR A C K

INSTRUMENTATION DIVISION

G . M onnet