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AN ATLAS OF BRIGHT STAR SPECTRA IN THE NEAR-INFRARED FROM CASSINI-VIMS

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Published 2015 December 7 © 2015. The American Astronomical Society. All rights reserved.
, , Citation Paul N. Stewart et al 2015 ApJS 221 30DOI 10.1088/0067-0049/221/2/30

0067-0049/221/2/30

ABSTRACT

We present the Cassini Atlas Of Stellar Spectra (CAOSS), comprised of near-infrared, low-resolution spectra of bright stars recovered from space-based observations by the Cassini spacecraft. The 65 stellar targets in the atlas are predominately M, K, and S giants. However, it also contains spectra of other bright nearby stars including carbon stars and main-sequence stars from A to F. The spectra presented are free of all spectral contamination caused by the Earth's atmosphere, including the detrimental telluric molecular bands which put parts of the near-infrared spectrum out of reach of terrestrial observations. With a single instrument, a spectro-photometric data set is recovered that spans the near-infrared from 0.8 to 5.1 μm with spectral resolution ranging from R = 53.5 to R = 325. Spectra have been calibrated into absolute flux units after careful characterization of the instrumental spectral efficiency. Spectral energy distributions for most stars match closely with literature values. All final data products have been made available online.

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1. INTRODUCTION

The recovery of high-quality stellar spectra underpins an integral part of our understanding of stellar composition, evolution, and temporal behavior. Unfortunately, important molecular spectral features expected to be present are masked by the existence of the same molecular species in our own atmosphere. This is especially true for cooler evolved stars, where substantial quantities of H2O and CO2 are known to form. This results in large parts of the infrared region being effectively opaque to ground-based observations. Piercing this veil is only possible by observing beyond the Earth's atmosphere from space-based platforms.

There has yet to be a space-based spectrometer dedicated to surveying bright stars over a broad range of infrared wavelengths, despite the potential scientific merit and the severe obstacles to observing from the ground. However, the Visual and Infrared Mapping Spectrometer (VIMS) instrument on the Cassini spacecraft has measured the spectra of many bright stars in the wavelength range of 0.8–5.1 μm. This broad wavelength range is distinct from any other existing space-based observatory platform. The International Ultraviolet Explorer (IUE) provides a survey of spectra shorter than this range, spanning 0.11–0.32 μm (Boggess et al. 1978). The longer wavelengths overlap with surveys by the Short Wave Spectrometer (SWS) on ESA's Infrared Space Observatory (ISO) covering 2.38–45.2 μm (de Graauw et al. 1996). The Space Telescope Imaging Spectrograph (STIS) on the Hubble Space Telescope (HST) can observe spectra between 0.11 and 1.0 μm (Woodgate et al. 1998), while the Near Infrared Camera and Multi-Object Spectrometer (NICMOS) on HST was capable of observing the remaining 1.0–2.5 μm range at the shorter end of the infrared  (Thompson et al. 1998). However, these HST instruments have not been used for survey purposes and therefore only specifically targeted objects have been observed. Photometry in the H, K, L, and M bands was acquired for 92 of the brightest stars by the Diffuse Infrared Background Experiment (DIRBE) on COBE (Arendt et al. 1998). A much more extensive catalog of ground based photometric observations was produced from 2MASS observations in the J, H, and Ks bands (Skrutskie et al. 2006). Observations at longer wavelengths have been performed by SPITZER (>5.3 μm), MSX (>8.3 μm), IRAS (>12 μm), AKARI (>50 μm), and Herschel (>55 μm). None of these instruments span the entire range accessible to VIMS and many of them have been unable to observe the brightest stars as they are beyond the instrumental saturation limit. VIMS has previously been used for stellar studies using stellar occultations by Saturn's rings (Stewart et al. 2013, 2014, 2015a, 2015b, 2015c), but until now has not been used for studies of stellar spectra.

The atlas provides unique access to broadband, space-based spectra of many of the brightest stars in the sky, albeit at a relatively low spectral resolution. This paper starts with a description of the experiment and instrument in Section 2, followed by details on the data reduction processes in Section 3. Sample spectra are presented in Section 4, and compared with those obtained by ISO and IRTF, and photometry from DIRBE and 2MASS. The full list of stars in the atlas is provided in appendix and reduced spectra are available online at http://www.physics.usyd.edu.au/sifa/caoss/ and Vizier. By making these spectra available, we anticipate scientific benefits beyond the goals of the Cassini mission, and hope to enable new sections of the astronomical community to gain directly from a planetary exploration mission.

2. EXPERIMENT DESCRIPTION

The observations were originally acquired for the purposes of monitoring for any temporal variations within the VIMS instrument and to provide a baseline for the interpretation of stellar occultation results. Their acquisition started in the early stages of the mission, while the spacecraft was in "cruise" and on its way to Saturn, with the program expected to continue through to the end of the mission. The observations from this monitoring program were not intended to be used for stellar science. However, they fill a void in spectral coverage for a sufficient number of bright stars so as to warrant dissemination to the wider astronomical community.

2.1. The VIMS Instrument

VIMS was designed to observe the spatially resolved visible and near-infrared spectra of various surfaces in the Saturnian system. An overview of the instrumental design was published by Brown et al. (2004) and the significant points will be reviewed here. The instrument has two independent, bore-sighted telescopes feeding separate visible and near-infrared spectrometers referred to as VIMS-VIS and VIMS-IR, respectively. The diameters of these telescopes are 4.5 cm for the visible and 23 cm for the infrared, with the corresponding spectrometers spanning 0.35–1.05 μm in 96 channels and 0.8–5.1 μm in 256 channels. Both channels were operating when the observations used in this atlas were acquired, but due to the small collecting area of its telescope the visible channel generally did not yield sufficient signal-to-noise ratio to provide useful stellar spectra. Consequently, the information from the visible channel was not used in the preparation of this atlas, and only data from VIMS-IR is presented. VIMS-IR uses a triply blazed diffraction grating with a spectrometer of conventional design with the spectral resolution (R) changing linearly from 53.5 at the blue end to 325 at the longest wavelength. The detector response was measured in ground tests prior to launch and was found to be entirely linear with incident flux. Due to its large spectral range, the infrared spectrometer employs a 4-element blocking filter to exclude higher-order transmissions from the diffraction grating; this results in small gaps in the spectra near 1.6, 3.0, and 3.9 μm due to the boundaries between the filter segments. The filter gap at 3.9 μm affects 4 spectral channels, while the other two gaps are each two spectral channels wide. Because of the 20 year duration of the Cassini mission, cryogens are impractical and VIMS is passively cooled via a radiator. The 256-element InSb alloy detector operates at a stable temperature of 58–60 K, but the spectrometer optics are typically at ∼130 K. The instrumental thermal background is measured periodically during routine observations and subtracted from the target spectrum.

The VIMS instrument was designed to observe extended objects that entirely fill its instantaneous field of view, such as Saturn, its moons, and the ring system. Images are built up by measuring the spectrum of a single pointing individually and then moving the tip and tilt of the secondary mirror to raster in two dimensions over the required field. Each "pixel" in this time-series image scan subtends a relatively large 228 × 493 μrad rectangular piece of the sky, with the tip and tilt of the secondary mirror providing a measured pixel center separation of 250×500 μrad (Brown et al. 2004). This results in a photon collection area covering only ∼90% of the image. The spacecraft pointing accuracy has been determined to be <629 μrad and the pointing stability has been measured to plateau below 6 μrad (Pilinski & Lee 2009). This is not a concern for existing VIMS observations within the Saturnian system which involve filled pixels, but it introduces problems when observing unresolved point-sources such as stars. As the pixel size is much larger than the stellar point-spread function (PSF), it is likely that ∼10% of the time the stellar image will fall partially within these uncollected inter-pixel dead gaps in the two-dimensional (2D) raster scan. In spite of this uncertainty in the precise position of the star within a pixel, drift in pointing over the duration of an observation is negligible. There are known to be small variations in the size and shape of this instrumental pixel as a function of wavelength. Observations in which the PSF falls substantially within these unmeasured inter-pixel dead zones are identified by fitting a modeled instrumental PSF to the observation (P. Stewart 2015, PhD Thesis in preparation). Such observations were found to be spectrally and photometrically inconsistent, and have been identified and removed from the main atlas.

McCord et al. (2004) show that under-filled pixels can affect the wavelength calibration by up to half a spectral channel (6–8 nm), and more recently there has been a report of a gradual monotonic drift in wavelength of up to 9 nm toward the red since the spacecraft's launch (NASA PDS 2015b). This has been incorporated into the wavelength uncertainty discussed in Section 3.1.

VIMS-IR images used in this project have been acquired in one of two imaging modes, known as NORMAL and HIRES. The NORMAL mode co-adds two adjacent rectangular pixels to produce square pixels, while HIRES keeps the instrumental rectangular pixels to produce higher-resolution images in one dimension. The two modes have been shown to provide consistent spectra, and data have been averaged together where observations in both modes exist.

3. DATA REDUCTION PROCESS

The observations were obtained from the data archive at the Planetary Rings Node of NASA's Planetary Data System (PDS; NASA PDS 2015a). The raw format stores the intensity across the spectrum in background-subtracted detector counts together with the background itself. The parameters of the observation and instrumental operation are recorded in the data file headers.

These observations were performed in the raster-scanning mode described above and stored as three-dimensional (3D) image "cubes." The full 0.8–5.1 μm spectrum was obtained simultaneously for each signal pixel individually, with typical integration times of 320 or 640 ms per pixel. The images recorded by VIMS usually cover a 8 × 8 or 12 × 12 pixel field in all 352 spectral channels using measurements from both VIMS-VIS and VIMS-IR, but only the 256 channels recorded by the infrared instrument are used here. From the recorded data (Figure 1(a)), VIMS subtracts the measured background (Figure 1(b)) before transmitting them both back to Earth. The first step in the extraction of the stellar spectra from these cubes is to sum over a 3 × 3 pixel square, centered on the brightest pixel, producing a base spectral measurement as shown in Figure 1(c). In order to determine if any spectral channels saturated during the exposure, the measured and separately recorded background spectrum (Figure 1(b)) is added to the brightest pixel's counts (Figure 1(a)). Any spectral channels which now show 4095 counts are flagged as saturated and are omitted. These occur frequently at the hot pixels shown as spikes in Figure 1(b), such as the saturated pixel at 1.25 μm in Figure 1(a). Similarly, pixels affected by cosmic rays are identified and flagged for omission. These base spectra are divided by the geometric area of the telescope's aperture and the exposure time of the observation (extracted from data headers) to give the measured spectra in counts m−2 s−1. The instrumental sensitivity function (Figure 1(d)), combining both the electronic gain and the detector sensitivity as a function of wavelength, is used to convert this into photons m−2 s−1 (Figure 1(e)). By dividing by the instrumental bandpass shown in Figure 1(f) (Δλ), we arrive at a spectrum in photons m−2 s−1 μm−1 (Figure 1(g)) which is multiplied by the photon energy (Figure 1(h)) to give J m−2 s−1 μm−1. Finally this is converted into Janskys as shown in Figure 1(i) () in order to compare with previously published spectra from the literature.

Figure 1. Refer to the following caption and surrounding text.

Figure 1. Data reduction process illustrated for a single 320 ms exposure of α Boo in sequence C34. The blue curves show the data progressing through the reduction process, while the requisite calibration curves are in red. Full details of each panel are in Section 3.

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The sensitivity and bandpass functions were derived as part of the VIMS-IR calibration for extended sources. Clark et al. (2012) detail the development of these functions through to the latest version (RC17) which is used in this work. For stellar sources which do not fill the spectrometer's pixel, the sensitivity function is expected to differ somewhat from these standard values. A wavelength-dependant systematic deviation between the recovered VIMS spectra and those previously published was noted in this work, and was found to be consistent across a range of stars of various types and spanning multiple epochs. A correction ratio was constructed based on a comparison of VIMS spectra for standard stars to corresponding literature spectra from Engelke et al. (2006) and Rayner et al. (2009). The ratios of sections of the literature spectra to VIMS observations were averaged to produce a mean brightness ratio by which VIMS observations were multiplied. Variable stars known to exhibit strong wavelength-dependent temporal variations which have the potential to introduce spectral artefacts, and those with an amplitude of greater than one magnitude in any part of the near-infrared have been omitted. These relevant reference spectra are summarized in Table 1. The final correction function is available online with the atlas, and is provided to enable the application of alternative calibrations.

Table 1.  A Table of Observations Used to Derive the Calibration Correction Ratio

λ (μm) Stars Used (Epochs) Source for Ref. Spectrum
2.4–5.1 alp Boo (C27, C34, S36) Engelke et al. (2006)
  alp Tau (C35) "
  bet UMi (S35) "
  alp Cet (S18) "
  bet And (S18) "
  gam Cru (C35, S38, S53) "
  alp CMa (C39, S69) "
0.8–2.4 alp Boo (C27, C34, S36) Rayner et al. (2009)
  alp Ori (C33, S18) "
  mu Cep (S22) "
  R Lyr (S13, S79) "
  alp Her (S13, S53) "
  rho Per (S18) "

Note. The first set of data are derived from space-based ISO SWS observations, while the second set originate from terrestrial observations performed with IRTF. Epochs are in Cassini  planning sequences, and are available in UTC and julian dates in Table 4.

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Table 2.  The Number of Stars of Each Spectral Class and Variability Type in CAOSS

By Spectral Class O 1
  A 2
  F 2
  C 3
  S 3
  K 8
  M0-4 17
  M5-9 29
By Variability Type Irregular 13
  Mira 16
  Semiregular 20

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Figure 2 demonstrates the effectiveness of this correction as applied to α Boo from sequence S16. The resultant corrected spectrum provides a good match to the general shape of the literature data, as well as some of the finer details, especially through 2.2–2.6 μm and the narrow absorption feature near 1.1 μm. For comparison purposes, the literature spectra have been downsampled to match the spectral resolution of VIMS. In order to to ensure the robustness of this comparison we also produced a calibration curve omitting the "test" epoch and found the resultant curve to be indistinguishable from that produced using all observations which have literature spectra. Application of this correction function is only necessary when observing point-sources, and calibrating filled-pixel spectra does not require this step.

Figure 2. Refer to the following caption and surrounding text.

Figure 2. Demonstration of the effectiveness of the correction function discussed in Section 3 on the S16 observation of α Boo. Panel (a) shows a comparison of the processed VIMS spectrum (in blue) against a published spectrum from Engelke et al. (2006), resampled to the same spectral resolution. Panel (b) shows the correction ratio by which all VIMS stellar spectra are multiplied to produce a corrected spectrum. The final panel (c) shows the corrected VIMS spectrum against the resampled Engelke et al. (2006) curve.

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The spectra are presented without any correction for interstellar reddening for the following reasons. The majority of sources in the atlas are close to the Sun and thus have values of approximately zero, with half the sample within 110 pc and only 10 stars further than 500 pc. Extinction corrections are much smaller in the infrared than in the optical, reducing the impact of interstellar reddening on stars in the atlas. It is not envisioned that the calibration pipeline presented here will change, whereas extinction corrections, dependent on poorly known distances and estimated extinctions to that distance along a given line of sight, will almost certainly change in the future. This is especially likely as 3D extinction models of the Galaxy improve over the coming decades.

3.1. Data Products

Spectra are identified by the name of the stellar target and the mission sequence in which they were observed. These sequences are labelled either "C" or "S" identifying either "cruise" or "Saturnian orbit." They are then numbered sequentially with time with each "S" sequence spanning several planetary orbits by the spacecraft. As an example, RDor C33 is a spectrum of the star R Doradus observed in the 33rd cruise sequence. The UTC and Julian dates of these are included in Table 4, as are the number of exposures and cumulative integration time of all exposures for each observation.

Each spectrum presented is the average of all frames acquired within a given observation. The actual UTC date and time of each of the averaged exposures is included in the data header, along with the exposure times, image dimensions, and instrument mode. The final data products are available as simple text files, and as four column fits tables, with the columns being center wavelength, flux density, uncertainty in center wavelength and uncertainty in flux density.

Table 3 includes optical spectral classes for each source, based on a review of the classification literature. We generally report the oldest classification(s) consistent with subsequent papers, except where improved classifications are available from Morgan & Keenan (1973), Keenan et al. (1974), or Keenan & McNeil (1989). Sloan et al. (2015) report spectral types for 14 targets in the Cassini Atlas Of Stellar Spectra (CAOSS) sample, based on slightly different rules, and as a consequence several differ by a step in spectral class or luminosity class. These differences indicate the level of uncertainty in the classifications. We do not report spectral types for optical companions which do not contribute significantly to the near-infrared spectrum.

Table 3.  Stars in the Cassini Atlas of Stellar Spectra

Target R.A. decl. Parallax ePlx Spectral Spectral Var.
Name HIP Alias (J2000)a (mas) Type Referenceb Classc
30 Psc 154 YY Psc 00 01 57.62 −06 00 50.66 7.55 0.59 M3 III M73 Lb:
bet And 5447 01 09 43.92 +35 37 14.01 16.52 0.56 M0 III var M43 nsv
gam1 And 9640 02 03 53.95 +42 19 47.02 8.3 1.04 K3 II M73
omi Cet 10826 02 19 20.79 −02 58 39.50 10.91 1.22 M5-M9e J26 Mira
alp Cet 14135 03 02 16.77 +04 05 23.06 13.09 0.44 M1.5 IIIa K89 Lb:
rho Per 14354 03 05 10.59 +38 50 24.99 10.6 0.25 M3 II-III M73 SRb
NML Tau IK Tau 03 53 28.87 +11 24 21.70 M9 P67 Mira
gam Eri 18543 03 58 01.77 −13 30 30.67 16.04 0.58 M0 III-IIIb K89 Lb:
alp Tau 21421 04 35 55.24 +16 30 33.49 48.94 0.77 K5 III M43, R52 Lb:
R Dor 21479 04 36 45.59 −62 04 37.80 18.31 0.99 M8e M73 SRb
TX Cam 05 00 50.39 +56 10 52.60 M8-10 W73 Mira
RX Lep 24169 05 11 22.87 +05 09 02.75 6.71 0.44 M6 III A26 SRb
alp Aur 24608 Capella 05 16 41.35 +45 59 52.80 76.2 0.46 G1 III+K0 III Simbad nsv
alp Ori 27989 05 55 10.31 +07 24 25.43 6.55 0.83 M1.5 Iab M73 SRc
mu Gem 30343 06 22 57.63 +22 30 48.90 14.08 0.71 M3 IIIab K89 Lb
alp Car 30438 06 23 57.11 −52 41 44.38 10.55 0.56 F0 II G48
alp CMa 32349 06 45 08.92 −16 42 58.02 379.21 1.58 A1 V M43 nsv
L2 Pup 34922 07 13 32.32 −44 38 23.06 15.61 0.99 M5 IIIe B85 SRb
VY CMa 35793 07 22 58.33 −25 46 03.24 M5 Iae H72
sig Pup 36377 07 29 13.83 −43 18 05.16 16.84 0.48 K5 III E57 Ell:
alp CMi 37279 07 39 18.12 +05 13 29.96 284.56 1.26 F5 IV G48 nsv
R Cnc 40534 08 16 33.83 +11 43 34.46 1.58 1.43 M6.5-9e K74 Mira
lam Vel 44816 09 07 59.76 −43 25 57.33 5.99 0.11 K4 Ib K89 Lc
RS Cnc 45058 09 10 38.80 +30 57 47.30 6.97 0.52 M6S B54 SRc:
alp Hya 46390 09 27 35.24 −08 39 30.96 18.09 0.18 K3 II-III M73 nsv
R Car 46806 09 32 14.60 −62 47 19.97 6.34 0.81 M8e III: K89 Mira
R Leo 48036 09 47 33.49 +11 25 43.66 14.03 2.65 M7-9e K74 Mira
CW Leo IRC+10216 09 47 57.41 +13 16 43.68 C9 Simbad M
RW LMi CIT 6 10 16 02.27 +30 34 18.60 C4,3e C79 SRa
U Ant 51821 10 35 12.85 −39 33 45.32 3.73 0.54 C5,4 S44 Lb
eta Car 10 45 03.55 −59 41 03.95 O5.5 III–O7 I T08 S Dor
V Hya 53085 10 51 37.26 −21 15 00.32 1.44 1.41 C7.5e B54 SRa
56 Leo 53449 VY Leo 10 56 01.47 +06 11 07.33 8.39 0.37 M5.5 III M73 Lb:
ome Vir 56779 11 38 27.61 +08 08 03.47 6.56 0.36 M4.5: III K89 Lb
nu Vir 57380 11 45 51.56 +06 31 45.74 11.1 0.18 M1 III M73 SRb
eps Mus 59929 12 17 34.28 −67 57 38.65 10.82 0.17 M5 III L66 SRb:
gam Cru 61084 12 31 09.96 −57 06 47.57 36.83 0.18 M3.5 III K89 nsv
del Vir 63090 12 55 36.21 +03 23 50.89 16.44 0.22 M3 III W57, H58 nsv
R Hya 65835 13 29 42.78 −23 16 52.77 8.05 0.69 M6.5-9e K74 Mira
W Hya 67419 13 49 02.00 −28 22 03.49 9.59 1.12 M7.5-9e K74 SRa
2 Cen 67457 V806 Cen 13 49 26.72 −34 27 02.79 17.82 0.21 M4.5 IIIb L66 SRb
alp Boo 69673 14 15 39.67 +19 10 56.67 88.83 0.54 K1.5 III K89 nsv
alp Cen B 71681 14 39 35.06 −60 50 15.10 796.92 25.9 K1 V H75
alp Cen A 71683 14 39 36.49 −60 50 02.37 754.81 4.11 G2 V G50
bet UMi 72607 14 50 42.33 +74 09 19.81 24.91 0.12 K4 III var R52, M53 nsv
RR UMi 73199 14 57 35.01 +65 55 56.86 7.1 0.37 M4.5 III K89 SRb
R Ser 77615 15 50 41.74 +15 08 01.10 4.78 1.84 M5-7e K74 Mira
del Oph 79593 16 14 20.74 −03 41 39.56 19.06 0.16 M0.5 III M73 nsv
U Her 80488 16 25 47.47 +18 53 32.86 4.26 0.85 M8e K74 Mira
30 Her 90704 g Her 16 28 38.55 +41 52 54.04 9.21 0.18 M6 III M73 SRb
alp Sco 80763 16 29 24.46 −26 25 55.21 5.89 1.0 M1.5 Iab M73 Lc
alp TrA 82273 16 48 39.89 −69 01 39.76 8.35 0.15 K2 III W52
alp Her 84345 17 14 38.86 +14 23 25.08 0.07 1.32 M5 II W57 SRc
alp Her A 84345 17 14 38.86 +14 23 25.23 9.07 1.32 M5 Ib-II M73 SRc
VX Sgr 88838 18 08 04.05 −22 13 26.63 3.82 2.73 M4 Iae H72 SRc
eta Sgr 89642 18 17 37.64 −36 45 42.07 22.35 0.24 M3 II O60 Lb:
alp Lyr 91262 18 36 56.33 +38 47 01.32 130.23 0.36 A0 Va Simbad DSCTC
X Oph 91389 18 38 21.12 +08 50 02.75 M0-8e + K2: III K74 Mira
R Lyr 92862 18 55 20.10 +43 56 45.93 10.94 0.12 M5 III var K45 SRb
R Aql 93820 19 06 22.25 +08 13 48.01 2.37 0.87 M6.5-9e K74 Mira
W Aql 19 15 23.35 −07 02 50.35 S6/6e K80 Mira
chi Cyg 97629 19 50 33.92 +32 54 50.61 5.53 1.1 S6-9/1-2e K80 Mira
T Cep 104451 21 09 31.78 +68 29 27.20 5.33 0.9 M6-9e K74 Mira
W Cyg 106642 21 36 02.50 +45 22 28.53 5.72 0.38 M5+ IIIa Y67 SRb
mu Cep 107259 21 43 30.46 +58 46 48.16 0.55 0.2 M2 Ia K42 SRc
pi1 Gru 110478 22 22 44.21 −45 56 52.61 6.13 0.76 S5, 7: B54 SRb
bet Gru 112122 22 42 40.05 −46 53 04.48 18.43 0.42 M4.5 III K89 Lc:
lam Aqr 112961 22 52 36.86 −07 34 46.56 8.47 0.66 M2 III Simbad LB
alp PsA 113368 22 57 39.05 −29 37 20.05 129.81 0.47 A3 V M43 nsv
bet Peg 113881 23 03 46.46 +28 04 58.03 16.64 0.15 M2.5 II-III M73 Lb
chi Aqr 114939 23 16 50.93 −07 43 35.40 5.32 0.37 M3 III Simbad
R Aqr 117054 23 43 49.46 −15 17 04.14 2.76 2.27 M6.5-9ep K74 Mira
R Cas 118188 23 58 24.87 +51 23 19.70 7.95 1.02 M6-9e K74 Mira

Notes.  Details of individual observations are listed in Table 4.

aCoordinates and parallaxes from van Leeuwen (2007), except for eta Car and VY CMa (Høg et al. 2000), NML Tau (Skrutskie et al. 2006), and RW LMi and TX Cam (Loup et al. 1993). bReferences are meant to be representative: A26 (Adams et al. 1926), B54 (Bidelman 1954), B85 (Bidelman 1985), C79 (Cohen 1979), E57 (Evans 1957), E60 (Eggen 1960), G48 (Greenstein 1948), G50 (Gascoigne 1950), H58 (Hoyle & Wilson 1958), H72 (Humphreys et al. 1972), H75 (Houk & Cowley 1975), J26 (Joy 1926), K42 (Keenan 1942), K45 (Keenan & Hynek 1945), K74 (Keenan et al. 1974), K80 (Keenan & Boeshaar 1980), K89 (Keenan & McNeil 1989), L66 (Landi Dessy & Keenan 1966), M43 (Morgan et al. 1943), M53 (Morgan et al. 1953), M73 (Morgan & Keenan 1973), P67 (Pesch 1967), R52 (Roman 1952), S44 (Sanford 1944), T08 (Teodoro et al. 2008), W52 (Woolley et al. 1952),W57 (Wilson & Vainu Bappu 1957), W73 (Wing & Lockwood 1973), Y67 (Yamashita 1967). cVariability Class is from the General Catalog of Variable Stars (Samus et al. 2009).

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4. SAMPLE SPECTRA

The spectra produced in this work include stars from many spectral classes including A and G main-sequence stars and K giants but, due to engineering requirements for bright targets, the atlas is dominated by evolved M giants. Many of these targets have complex molecular atmospheres and exhibit variability. This section shows some of the recovered spectra and compares them, where possible, to existing literature measurements. These literature values come predominately from space-based ISO SWS spectra (Engelke et al. 2006) and ground-based IRTF spectra (Rayner et al. 2009), with space-based photometry from DIRBE (Arendt et al. 1998). WISE photometry was found to be unreliable for many of these targets due to unflagged saturation. For accurate comparison, both the ISO and IRTF spectra have been downsampled to match the spectral resolution of VIMS.

To give a sample of the CAOSS data, Figure 3 shows reduced spectra for five different stellar targets. Each panel labelled (a) to (e), contains an observation at a single epoch for a single star. Panel (a) shows the A1 star Sirius (α Canis Majoris) with a spectrum comprising predominately the Rayleigh–Jeans side of a hot Planck curve (Sirius has an effective surface temperature of approximately 10,000 K with peak intensity in the ultraviolet). This shows very good agreement with the Engelke et al. (2006) spectrum, as well as both the DIRBE and 2MASS photometry. Panel (b) contains the blended spectrum of the binary system, α Centauri A and B and also shows good agreement to the 2MASS photometry. Panels (c) and (d) contain the early-mid M giants ρ Persei and γ Crucis. These spectra have broadly similar shapes, yet very different magnitudes due to the latter's relative proximity. They agree well with existing literature spectra and photometry from all four sources. The final panel (e), shows R Cnc, a Mira variable-type star with a spectral class of M6.5–9. Such stars are known to exhibit huge variations in magnitude over a period on the order of a year. The spectrum presented only partly agree with the published Rayner et al. (2009) IRTF spectra and 2MASS photometry, which in keeping with the known spectral variability of such objects.

Figure 3. Refer to the following caption and surrounding text.

Figure 3. Comparison of spectra presented in this atlas (blue) to the literature. The vertical axis is stellar flux density in 103 Janskys and the horizontal axis is wavelength in microns. Spectra of Hansom standard stars from ISO by Engelke et al. (2006) are shown as green curves and IRTF spectra by Rayner et al. (2009) are rendered as brown curves. Photometric measurements are shown as individual points with error bars in dark red and orange for DIRBE and 2MASS, respectively. The discrepancy in panel (e) is due to the inherently variable nature of the target star, R Cnc.

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Figure 4 shows two more Mira variable stars for which there are multiple epochs presented in this atlas. Large changes in overall flux, accompanied by more minor shifts in spectral shape are noted between epochs. The variations in flux for these particular stars, as with all variable stars in the atlas, have been checked against the AAVSO lightcurves and found to be broadly consistent, but no detailed analysis of stellar variability has been performed in this work.

Figure 4. Refer to the following caption and surrounding text.

Figure 4. Multiple epochs of variable stars showing significant temporal variation. Each panel shows a spectrum for the three epochs indicated in the legend. The orange points show 2MASS photometry from an epoch independent of the VIMS observations.

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5. CONCLUSIONS

We have produced a database of space-based near-infrared spectra for 73 stellar targets at 109 epochs. These spectra have been made publicly available online in flexible data formats. Where comparison was possible they have been shown to be consistent with existing spectra and photometry. In spite of the relatively low spectral resolution, we believe that these spectra are of sufficient quality to continuously bridge a vital yet unsurveyed part of the spectrum and to become a valuable resource for the stellar astrophysical community. As spectra from this data set span the telluric water bands they particularly enable the study of evolved stars, known to exhibit strong spectral structure from their own atmospheric water. Spectra presented in this atlas have already been used in a study of the atmosphere of Mira, including an assessment of models of its atmospheric behavior (Stewart et al. 2015c).

This research made use of the SIMBAD database, operated at CDS, Strasbourg, France.

Some of the data presented in this paper were obtained from the Mikulski Archive for Space Telescopes (MAST). STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555. Support for MAST for non-HST data is provided by the NASA Office of Space Science via grant NNX13AC07G and by other grants and contracts.

This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation.

APPENDIX: THE CASSINI ATLAS OF STELLAR SPECTRA

The details of all stars contained in CAOSS are listed in Table 3, including coordinates, spectral type and variability type where relevant. A full list of flux density calibrated spectra to date is contained in Table 4. Observations processed identically to those in Table 4 yet containing significant deviations from the literature values are presented online with the atlas, but not listed here. These spectra are still expected to be of value in situations where an absolute flux density calibration is not required.

Table 4.  The Cassini Atlas of Stellar Spectra

Target R.A. decl. Sequence Epoch No. of Total Exp.
  (J2000)   UTC JD Exp. Time (s)
30 Psc 00 01 57.62 −06 00 50.66 S25 2006 Nov 5 2454044 15 4.7
bet And 01 09 43.92 +35 37 14.01 S18 2006 Feb 1 2453767 15 4.7
gam1 And 02 03 53.95 +42 19 47.02 S18 2006 Feb 1 2453767 15 4.7
omi Cet 02 19 20.79 −02 58 39.50 S83 2014 Apr 11 2456758 29 18.1
alp Cet 03 02 16.77 +04 05 23.06 S18 2006 Feb 1 2453767 14 4.1
rho Per 03 05 10.59 +38 50 24.99 S18 2006 Feb 1 2453767 21 5.0
NML Tau 03 53 28.87 +11 24 21.70 C33 2002 Jul 19 2452474 22 15.1
gam Eri 03 58 01.77 −13 30 30.67 S27 2007 Feb 16 2454147 14 4.1
alp Tau 04 35 55.24 +16 30 33.49 C35 2003 Jan 19 2452658 40 20.2
R Dor 04 36 45.59 −62 04 37.80 C33 2002 Jul 18 2452473 82 54.3
TX Cam 05 00 50.39 +56 10 52.60 S27 2007 Feb 15 2454146 16 5.4
RX Lep 05 11 22.87 +05 09 02.75 S27 2007 Feb 16 2454147 14 4.1
alp Ori 05 55 10.31 +07 24 25.43 S18 2006 Feb 1 2453767 20 1.9
mu Gem 06 22 57.63 +22 30 48.90 S18 2006 Feb 1 2453767 19 3.1
alp Car 06 23 57.11 −52 41 44.38 C34 2002 Oct 19 2452566 39 7.8
alp Car 06 23 57.11 −52 41 44.38 S69 2011 Jul 27 2455769 260 44.7
alp CMa 06 45 08.92 −16 42 58.02 C39 2003 Oct 13 2452925 43 12.9
alp CMa 06 45 08.92 −16 42 58.02 S69 2011 Jul 27 2455769 15 8.3
L2 Pup 07 13 32.32 −44 38 23.06 S36 2008 Jan 12 2454477 14 2.2
VY CMa 07 22 58.33 −25 46 03.24 S36 2008 Jan 12 2454477 7 2.5
sig Pup 07 29 13.83 −43 18 05.16 S83 2014 May 1 2456778 52 30.7
alp CMi 07 39 18.12 +05 13 29.96 S08 2005 Jan 30 2453400 15 4.7
R Cnc 08 16 33.83 +11 43 34.46 S79 2013 Jul 5 2456478 48 30.5
lam Vel 09 07 59.76 −43 25 57.33 S36 2008 Jan 12 2454477 9 2.6
RS Cnc 09 10 38.80 +30 57 47.30 S36 2008 Jan 12 2454477 14 2.8
RS Cnc 09 10 38.80 +30 57 47.30 S79 2013 Jul 5 2456478 48 30.5
alp Hya 09 27 35.24 −08 39 30.96 S35 2007 Dec 7 2454441 11 4.1
alp Hya 09 27 35.24 −08 39 30.96 S38 2008 Mar 9 2454534 8 3.2
alp Hya 09 27 35.24 −08 39 30.96 S81 2013 Dec 20 2456646 160 50.6
R Car 09 32 14.60 −62 47 19.97 S38 2008 Feb 27 2454523 6 1.9
R Car 09 32 14.60 −62 47 19.97 S40 2008 Apr 26 2454582 26 10.1
R Car 09 32 14.60 −62 47 19.97 S52 2009 Aug 1 2455044 32 12.7
R Leo 09 47 33.49 +11 25 43.66 C37 2003 May 19 2452778 47 9.5
R Leo 09 47 33.49 +11 25 43.66 S38 2008 Mar 3 2454528 20 5.4
R Leo 09 47 33.49 +11 25 43.66 S40 2008 Apr 26 2454582 30 10.5
R Leo 09 47 33.49 +11 25 43.66 S81 2013 Dec 20 2456646 160 50.6
RW LMi 10 16 02.27 +30 34 18.60 S08 2005 Jan 30 2453400 9 3.3
U Ant 10 35 12.85 −39 33 45.32 S84 2014 Jun 29 2456837 117 74.4
eta Car 10 45 03.55 −59 41 03.95 C33 2002 Jul 18 2452473 58 39.0
eta Car 10 45 03.55 −59 41 03.95 S38 2008 Feb 27 2454523 8 3.2
eta Car 10 45 03.55 −59 41 03.95 S81 2013 Dec 27 2456653 85 54.1
V Hya 10 51 37.26 −21 15 00.32 S28 2007 Feb 25 2454156 35 10.6
56 Leo 10 56 01.47 +06 11 07.33 S35 2007 Dec 7 2454441 14 4.1
ome Vir 11 38 27.61 +08 08 03.47 S28 2007 Mar 14 2454173 21 7.0
ome Vir 11 38 27.61 +08 08 03.47 S38 2008 Mar 9 2454534 29 16.5
nu Vir 11 45 51.56 +06 31 45.74 S28 2007 Mar 14 2454173 21 8.4
eps Mus 12 17 34.28 −67 57 38.65 S28 2007 Feb 25 2454156 26 7.2
eps Mus 12 17 34.28 −67 57 38.65 S38 2008 Feb 27 2454523 9 3.2
eps Mus 12 17 34.28 −67 57 38.65 S52 2009 Aug 1 2455044 36 12.8
gam Cru 12 31 09.96 −57 06 47.57 C35 2003 Jan 19 2452658 10 6.4
gam Cru 12 31 09.96 −57 06 47.57 S38 2008 Feb 28 2454524 28 4.4
gam Cru 12 31 09.96 −57 06 47.57 S52 2009 Aug 1 2455044 48 13.2
del Vir 12 55 36.21 +03 23 50.89 S08 2005 Jan 30 2453400 16 4.2
R Hya 13 29 42.78 −23 16 52.77 C37 2003 May 18 2452777 5 2.2
R Hya 13 29 42.78 −23 16 52.77 S38 2008 Mar 19 2454544 14 2.2
W Hya 13 49 02.00 −28 22 03.49 C40 2003 Dec 1 2452974 59 17.9
W Hya 13 49 02.00 −28 22 03.49 S38 2008 Mar 19 2454544 16 3.5
2 Cen 13 49 26.72 −34 27 02.79 S35 2007 Nov 14 2454418 18 1.8
alp Boo 14 15 39.67 +19 10 56.67 C25 2001 Mar 26 2451994 44 6.9
alp Boo 14 15 39.67 +19 10 56.67 C27 2001 Aug 29 2452150 258 40.2
alp Boo 14 15 39.67 +19 10 56.67 C34 2002 Oct 13 2452560 2 0.4
alp Boo 14 15 39.67 +19 10 56.67 S16 2005 Dec 2 2453706 7 1.1
alp Boo 14 15 39.67 +19 10 56.67 S36 2008 Jan 5 2454470 73 2.6
alp Boo 14 15 39.67 +19 10 56.67 S53 2009 Aug 29 2455072 25 2.1
alp Cen 14 39 36.49 −60 50 02.37 C40 2003 Dec 1 2452974 50 12.2
alp Cen 14 39 36.49 −60 50 02.37 S38 2008 Mar 19 2454544 15 3.4
alp Cen 14 39 36.49 −60 50 02.37 S51 2009 Jul 2 2455014 338 215.0
alp Cen 14 39 36.49 −60 50 02.37 S52 2009 Aug 1 2455044 39 12.9
alp Cen 14 39 36.49 −60 50 02.37 S72 2012 Mar 29 2456015 212 67.0
bet UMi 14 50 42.33 +74 09 19.81 S82 2014 Feb 20 2456708 45 28.6
RR UMi 14 57 35.01 +65 55 56.86 S82 2014 Feb 20 2456708 45 28.6
R Ser 15 50 41.74 +15 08 01.10 S78 2013 Apr 15 2456397 121 77.0
del Oph 16 14 20.74 −03 41 39.56 S26 2007 Jan 4 2454104 15 4.7
del Oph 16 14 20.74 −03 41 39.56 S53 2009 Aug 29 2455072 14 3.8
U Her 16 25 47.47 +18 53 32.86 S78 2013 Apr 15 2456397 111 70.6
30 Her 16 28 38.55 +41 52 54.04 S22 2006 Jul 29 2453945 33 4.2
30 Her 16 28 38.55 +41 52 54.04 S53 2009 Aug 29 2455072 24 2.7
alp Sco 16 29 24.46 −26 25 55.21 C33 2002 Jul 12 2452467 73 48.2
alp Sco 16 29 24.46 −26 25 55.21 S31 2007 Jul 8 2454289 470 16.9
alp Sco 16 29 24.46 −26 25 55.21 S51 2009 Jul 17 2455029 68 26.4
alp TrA 16 48 39.89 −69 01 39.76 S08 2005 Jan 30 2453400 12 2.8
alp TrA 16 48 39.89 −69 01 39.76 S52 2009 Aug 1 2455044 32 12.7
alp Her 17 14 38.86 +14 23 25.08 S13 2005 Aug 28 2453610 17 2.4
alp Her 17 14 38.86 +14 23 25.08 S53 2009 Aug 29 2455072 28 2.9
VX Sgr 18 08 04.05 −22 13 26.63 S51 2009 Jul 17 2455029 34 14.4
eta Sgr 18 17 37.64 −36 45 42.07 S22 2006 Jul 30 2453946 16 4.2
eta Sgr 18 17 37.64 −36 45 42.07 S51 2009 Jul 17 2455029 38 15.9
X Oph 18 38 21.12 +08 50 02.75 S26 2007 Jan 4 2454104 26 5.1
X Oph 18 38 21.12 +08 50 02.75 S60 2010 May 26 2455342 7 2.2
R Lyr 18 55 20.10 +43 56 45.93 S13 2005 Aug 28 2453610 24 4.5
R Lyr 18 55 20.10 +43 56 45.93 S79 2013 Jun 20 2456463 11 1.7
R Aql 19 06 22.25 +08 13 48.01 S60 2010 May 26 2455342 6 1.9
R Aql 19 06 22.25 +08 13 48.01 S69 2011 Jul 27 2455769 225 42.3
W Aql 19 15 23.35 −07 02 50.35 S26 2007 Jan 4 2454104 20 4.9
chi Cyg 19 50 33.92 +32 54 50.61 S22 2006 Jul 29 2453945 33 5.3
T Cep 21 09 31.78 +68 29 27.20 S13 2005 Aug 28 2453610 22 4.4
T Cep 21 09 31.78 +68 29 27.20 S78 2013 May 29 2456441 92 58.5
W Cyg 21 36 02.50 +45 22 28.53 S79 2013 Jun 21 2456464 98 46.3
mu Cep 21 43 30.46 +58 46 48.16 S22 2006 Jul 30 2453946 35 5.5
pi1 Gru 22 22 44.21 −45 56 52.61 S22 2006 Jul 30 2453946 28 4.4
bet Gru 22 42 40.05 −46 53 04.48 C34 2002 Oct 5 2452552 40 7.8
alp PsA 22 57 39.05 −29 37 20.05 C25 2001 Mar 28 2451996 12 7.6
alp PsA 22 57 39.05 −29 37 20.05 C34 2002 Oct 19 2452566 32 20.4
alp PsA 22 57 39.05 −29 37 20.05 C35 2003 Jan 22 2452661 13 8.3
alp PsA 22 57 39.05 −29 37 20.05 S72 2012 Mar 30 2456016 10 6.4
bet Peg 23 03 46.46 +28 04 58.03 S13 2005 Aug 28 2453610 24 4.5
R Aqr 23 43 49.46 −15 17 04.14 S22 2006 Jul 30 2453946 15 4.7
R Cas 23 58 24.87 +51 23 19.70 S08 2005 Jan 30 2453400 21 5.6

Note.  All epochs listed are where flux calibrated spectra were recovered. The columns from left to right are: name of the stellar target, R.A. and decl. from Table 3, Cassini planning sequence, UTC and julian dates, number of exposures, and cumulative exposure time per pixel. Sorted by R.A.

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10.1088/0067-0049/221/2/30
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