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Cited by 310

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Absolute Calibration and Characterization of the Multiband Imaging Photometer for Spitzer. I. The Stellar Calibrator Sample and the 24 μm Calibration

Open access
Engelbracht, C. W., Blaylock, M., Su, K. Y. L., Rho, J., Rieke, G. H., Muzerolle, J., Padgett, D. L., Hines, D. C., Gordon, K. D., Fadda, D., Noriega‐Crespo, A., Kelly, D. M., Latter, W. B., Hinz, J. L., Misselt, K. A., Morrison, J. E., Stansberry, J. A., Shupe, D. L., Stolovy, S., Wheaton, Wm. A., Young, E. T., Neugebauer, G., Wachter, S., Pérez‐González, P. G., Frayer, D. T., Marleau, F. R.·2007·Publications of the Astronomical Society of the Pacific
DOI 10.1086/521881
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Abstract

We present the stellar calibrator sample and the conversion from instrumental to physical units for the 24 μm channel of the Multiband Imaging Photometer for Spitzer (MIPS). The primary calibrators are A stars, and the calibration factor based on those stars is 4.54 × 10 -2 MJy sr −1 (DN s −1 ) −1 , with a nominal uncertainty of 2%. We discuss the data reduction procedures required to attain this accuracy; without these procedures, the calibration factor obtained using the automated pipeline at the Spitzer Science Center is 1.6% ± 0.6% lower. We extend this work to predict 24 μm flux densities for a sample of 238 stars that covers a larger range of flux densities and spectral types. We present a total of 348 measurements of 141 stars at 24 μm. This sample covers a factor of ∼460 in 24 μm flux density, from 8.6 mJy up to 4.0 Jy. We show that the calibration is linear over that range with respect to target flux and background level. The calibration is based on observations made using 3 s exposures; a preliminary analysis shows that the calibration factor may be 1% and 2% lower for 10 and 30 s exposures, respectively. We also demonstrate that the calibration is very stable: over the course of the mission, repeated measurements of our routine calibrator, HD 159330, show a rms scatter of only 0.4%. Finally, we show that the point‐spread function (PSF) is well measured and allows us to calibrate extended sources accurately; Infrared Astronomy Satellite ( IRAS ) and MIPS measurements of a sample of nearby galaxies are identical within the uncertainties.

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Metadata

Authors
Engelbracht, C. W., Blaylock, M., Su, K. Y. L., Rho, J., Rieke, G. H., Muzerolle, J., Padgett, D. L., Hines, D. C., Gordon, K. D., Fadda, D., Noriega‐Crespo, A., Kelly, D. M., Latter, W. B., Hinz, J. L., Misselt, K. A., Morrison, J. E., Stansberry, J. A., Shupe, D. L., Stolovy, S., Wheaton, W. A., Young, E. T., Neugebauer, G., Wachter, S., Pérez‐González, P. G., Frayer, D. T., & Marleau, F. R.
Venue
Publications of the Astronomical Society of the Pacific
Publisher
IOP Publishing
Published
2007-09
Volume
119
Issue
859
Pages
994-1018
ISSN
  • 0004-6280 (ISSN-L)
  • 1538-3873
DOI
10.1086/521881
OpenAlex
W2046408422
Cited by
310
References
27
FWCI
46.35
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Absolute Calibration and Characterization of the Multiband Imaging Photometer for Spitzer. I. The Stellar Calibrator Sample and the 24 μm Calibration. https://app.cochat.ai/papers/10.1086/521881
The paper
Engelbracht, C. W., Blaylock, M., Su, K. Y. L., Rho, J., Rieke, G. H., Muzerolle, J., Padgett, D. L., Hines, D. C., Gordon, K. D., Fadda, D., Noriega‐Crespo, A., Kelly, D. M., Latter, W. B., Hinz, J. L., Misselt, K. A., Morrison, J. E., Stansberry, J. A., Shupe, D. L., Stolovy, S., . . . Marleau, F. R. (2007). Absolute Calibration and Characterization of the Multiband Imaging Photometer for Spitzer. I. The Stellar Calibrator Sample and the 24 μm Calibration. Publications of the Astronomical Society of the Pacific. https://doi.org/10.1086/521881

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.