Ironing out the WRINKLES

in Space Telescope Imaging Spectrograph

T.R. Ayres (CASA)

Warning: this talk deals with lower

rungs of J.J. Drake’s Ladder, where, sadly,

sexiness is low.

But, in fact, nothing on upper rungs of ladder would get

done without good instrument

calibrations.

CALIBRATION

WRINKLES Project• OBJECTIVE: Test techniques for improving

echelle-mode wavelength scales of STIS, solar-system’s premier high-res UV spectrograph in

space (now in tandem with super-high-sensitivity, mod-res COS).

• METHOD: Measure deep exposures of Pt/Cr-Ne l*cal lamps (“WAVECALs”),

processed as if science images; compare with NIST/ECF laboratory wavelengths.

Raw Wavecal Images

E140H-1234 E230H-1763

low-ls

low-ls

WAVECAL Archive• Several hundred l*cals available,

mainly in primary tilts (darker colors).

Significant overlaps between settings.

Many secondary tilts have poor exposure

depth (yellow).

Laboratory Ref Wavelengths Excellent lists l < 1800

A (STIS lamp flight spare) from NIST/ST-

ECF collaboration (Sansonneti et al.

2004); but key STIS Cal Enhancement

extension to longer wavelengths (Kerber et

al. 2006) not yet completed. Earlier

NIST meas (black IDs) missing Cr I & II (blue prelim IDs); Wallace &

Hinkle (2009) KPNO FTS Cr I (red) l > 2360

A.

11 FUV-H + 26 NUV-H

template

“Self-Calibration*”

*Utilize STIS as its own laboratory spectrometer to enhance ref line list

l-meas

RESULTSReplacing CALSTIS Xcorr template

(below, red curve) has minor effect on H settings (upper left); virtually no

effect on M tilts (lower left). However, distortion correction makes factor of

~2 improvement in precision of echelle wavelength scales. (Note: full y-

axes are ~2/3 resol each).

Beyond post-facto Correction

• Properly orthogonal variables: CALSTIS dispersion polynomial: S= f(m,l), with terms up to fully bi-quadratic ([ml]2), although missing m2 and l2, but including extra term (ml)3 (coeffs not pop’d in CalLib, however). l has power in m direction; not properly orthog. k=ml (“grating parameter”) is orthog to m, but bi-quadr poly showed disappointingly little improvement over m,l combo.

Left panel compares current (‘orig’) CALSTIS disp coeffs, with newly derived values (‘new’) based on deep l*cals & new line

lists, and poly models (k,m) of increasing order: little improvement for n>2. Right panel adding terms to CALSTIS model. Single new term, m2, plus populating coefficients of

existing (ml)3, is as effective as full n=2.

Out-of-the-Box IdeasOn left side is map of E230H lamp lines in

“super-MAMA” detector coordinates versus

intensity (green=high brightness;

orange=intermed; open circles= low) ; right side shows residual red/blue

shifts after application of global model with terms in detector coordinates and dispersion space. Against

all odds, this actually works, with c2 not too

much larger than obtained for individual settings.

Suggests clear separation between detector

properties and dispersion characteristics.

At left: distortions from global modeling persistent in detector

coordinates. Distortions (max: +/-

2 km/s) very systematic between modes (M & H) and

cameras (FUV & NUV); apparently are fundamental property

of the MAMAs. Quadrupolar geometrical

distortions are unlike “pincushion” and “barrel” of typical optical systems.

Conclusions• STIS is a way excellent instrument, but capable of significantly

better wavelength performance than delivered by current dispersion models embedded in CALSTIS (although, to be sure,

the present precision well exceeds pre-flight specs).• Pipeline dispersion models could be significantly improved simply by re-deriving the coefficients for each setting using the upgraded ‘Deep Lamp’ material, as well as the new reference

‘self-laboratory’ line lists. Increasing exposure depth in current lightly exposed settings would be helpful in this regard.

(Cycle 18 GO cal program “Deep Lamp Too”).• Adding single term to existing CALSTIS polynomial, and

populating coefficients for an available, but unused term, would achieve significant additional improvement.

• Performing a geometrical correction prior to a robust dispersion model (k= k – k0[m]) could lead to a more stable global

solution.

Dispersion Relations Order by Order

Ripple Correction

Global Fit in Disp Coords, Only

Residual Wavelength Errors H-Spectrum & M-Spectrum, Cataloged

Lines