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CCD photometry (astronomy)

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Kepler Mission space photometer

CCD Photometry is a photometric astronomical technique using an electronic CCD Camera (charge-couple device) that measures the flux or intensity of light radiated by astronomical objects.[1] This light is measured through a telescope attached with a CCD photometer that converts light into an electric current by the photoelectric effect. When calibrated against standard stars (or other light sources) of known intensity and colour, photometers can measure the brightness or apparent magnitude of celestial objects.

Method

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A CCD camera is essentially a grid of many photometers, simultaneously measuring and recording the photons coming from all the sources in the field of view. Because each CCD image records the photometry of multiple objects at once, various forms of photometric extraction can be performed on the recorded data; typically relative, absolute, or differential. All three processes require the extraction from the raw image magnitude of the target object compared to nearby comparison object or objects in the field of view.

Adopted photometric methods depend on the wavelength regime under study. At its most basic, photometry is conducted by gathering light and passing it through specialised photometric optical bandpass filters, and then capturing and recording the light energy with a photosensitive instrument. Standard sets of passbands (called a photometric system) are defined to allow accurate comparison of observations.[2]

The observed signal from an object will typically cover many pixels according to the point spread function (PSF) of the system. This broadening is due to both the optics in the telescope and the astronomical seeing. When obtaining photometry from a point source, the flux is measured by summing all the light recorded from the object and subtracting the light due to the sky.[3]

The simplest technique, known as aperture photometry, consists of summing the pixel counts within an aperture centered on the object and subtracting the product of the nearby average sky count per pixel and the number of pixels within the aperture.[3][4] This will result in the raw flux value of the target object. When doing photometry in a very crowded field, such as a globular cluster, where the profiles of stars overlap significantly, one must use de-blending techniques, such as PSF fitting to determine the individual flux values of the overlapping sources.[5]

Calibrations

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Determining the number of photon counts relates to the energy flux of a celestial object. The measured flux energy is normally converted, calibrated in some way, and expressed as an instrumental magnitude. Which calibrations are used will depend in part on what type of photometry is being done. Typically, observations are processed for relative or differential photometry.[6] Relative photometry is the measurement of the apparent brightness of multiple objects relative to each other. Absolute photometry is the measurement of the apparent brightness of an object on a standard photometric system; these measurements can be compared with other absolute photometric measurements obtained with different telescopes or instruments. Differential photometry is the measurement of the difference in brightness of two objects. In most cases, differential photometry can be done with the highest precision, while absolute photometry is the most difficult to do with high precision. Also, accurate photometry is usually more difficult when the apparent brightness of the object is fainter.

Absolute photometry

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To perform absolute photometry one must correct for differences between the effective passband through which an object is observed and the passband used to define the standard photometric system. This is often in addition to all of the other corrections discussed above. Typically this correction is done by observing the object(s) of interest through multiple filters and also observing a number of photometric standard stars. If the standard stars cannot be observed simultaneously with the target(s), this correction must be done under photometric conditions, when the sky is cloudless and the extinction is a simple function of the airmass.

Relative photometry

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To perform relative photometry, one compares the instrument magnitude of the object to a known comparison object, and then corrects the measurements for spatial variations in the sensitivity of the instrument and the atmospheric extinction. This is often in addition to correcting for their temporal variations, particularly when the objects being compared are too far apart on the sky to be observed simultaneously. When doing the calibration from an image that contains both the target and comparison objects in close proximity, and using a photometric filter that matches the catalog magnitude of the comparison object most of the measurement variations decrease to null.

Differential photometry

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Differential photometry is the simplest of the calibrations and most useful for time series observations. When using CCD photometry, both the target and comparison objects are observed at the same time, with the same filters, using the same instrument, and viewed through the same optical path. Most of the observational variables drop out and the differential magnitude is simply the difference between the instrument magnitude of the target object and the comparison object (∆Mag = C Mag – T Mag). This is very useful when plotting the change in magnitude over time of a target object, and is usually compiled into a light curve.

Surface photometry

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For spatially extended objects such as galaxies, it is often of interest to measure the spatial distribution of brightness within the galaxy rather than simply measuring the galaxy's total brightness. An object's surface brightness is its brightness per unit solid angle as seen in projection on the sky, and measurement of surface brightness is known as surface photometry. A common application would be measurement of a galaxy's surface brightness profile, meaning its surface brightness as a function of distance from the galaxy's center. For small solid angles, a useful unit of solid angle is the square arcsecond, and surface brightness is often expressed in magnitudes per square arcsecond.

Software

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Several free computer programs are available for synthetic aperture photometry and PSF-fitting photometry.

SExtractor[7] and Aperture Photometry Tool[8] are popular examples for aperture photometry. The former is geared towards reduction of large scale galaxy-survey data, and the latter has a graphical user interface (GUI) suitable for studying individual images. DAOPHOT is recognized as the best software for PSF-fitting photometry.[5]

Organizations

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There are a number of organizations, from professional to amateur, that gather and share photometric data and make it available on-line. Some sites gather the data primarily as a resource for other researchers (ex. AAVSO) and some solicit contributions of data for their own research (ex. CBA):

  • Astronomyonlin.org[9]
  • Center for Backyard Astrophysics (CBA).[10]

See also

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References

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  1. ^ Casagrande, Luca; VandenBerg, Don A (2014). "Synthetic stellar photometry - General considerations and new transformations for broad-band systems". Monthly Notices of the Royal Astronomical Society. 444 (1). Oxford University Press: 392–419. arXiv:1407.6095. Bibcode:2014MNRAS.444..392C. doi:10.1093/mnras/stu1476.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  2. ^ Brian D. Warner (20 June 2016). A Practical Guide to Lightcurve Photometry and Analysis. Springer. ISBN 978-3-319-32750-1.
  3. ^ a b Mighell, K.J. (1999). "Algorithms for CCD Stellar Photometry". ASP Conference Series. 172: 317–328. Bibcode:1999ASPC..172..317M.
  4. ^ Laher, Russ R.; et al. (2012). "Aperture Photometry Tool". Publications of the Astronomical Society of the Pacific. 124 (917): 737–763. Bibcode:2012PASP..124..737L. doi:10.1086/666883.
  5. ^ a b Stetson, P.B. (1987). "DAOPHOT: A Computer Program for Crowded-Field Stellar Photometry". Publications of the Astronomical Society of the Pacific. 99: 191–222. Bibcode:1987PASP...99..191S. doi:10.1086/131977.
  6. ^ Gerald R. Hubbell (9 November 2012). Scientific Astrophotography: How Amateurs Can Generate and Use Professional Imaging Data. Springer Science & Business Media. ISBN 978-1-4614-5173-0.
  7. ^ "SExtractor – Astromatic.net". www.astromatic.net.
  8. ^ "Aperture Photometry Tool: Home". www.aperturephotometry.org.
  9. ^ "Exoplanet - Amateur Detection". astronomyonline.org.
  10. ^ "CBA @ cbastro.org - Center for Backyard Astrophysics". www.cbastro.org.
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Category:Astrophysics Category:Electromagnetic radiation Category:Light pollution Category:Observational astronomy Category:Photometric systems Category:Photometry (astronomy) Category:Radiometry

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