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Photometry is a technique of astronomy concerned with measuring the flux, or intensity of an astronomical object's electromagnetic radiation. When photometry is performed over broad wavelength bands of radiation, where not only the amount of radiation but also its spectral distribution is measured, the term spectrophotometry is used.
The methods used to perform photometry depend on the wavelength regime under study. At its most basic, photometry is conducted by gathering photon radiation (a.k.a. light) in a telescope, sometimes passing it through specialized optical filters (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 facilitate accurate comparison of observations.
Historically, photometry in the near-infrared through long-wavelength ultra-violet was done with a photoelectric photometer, an instrument that measured the light intensity of a single object by directing its light onto a photosensitive cell. These have largely been replaced with CCD cameras that can simultaneously image multiple objects, although photoelectric photometers are still used in special situations, such as where fine time resolution is required.
A CCD camera is essentially a grid of 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, and differential. All three will require the extraction of the raw image magnitude of the target object, and a known comparison object. The observed signal from an object will typically be smeared (convolved) over many picture elements pixels according to the point spread function of the system. This broadening is due to the optics in the telescope as well as astronomical seeing (twinkling).When obtaining photometry from an object that's a point source (an object with an angular diameter that is much smaller than the angular resolution of the telescope), the flux is measured by adding up all the light recorded from the object and subtract the light due to the sky. The simplest technique, known as (synthetic) aperture photometry., consists of adding up the pixel counts within a circle centered on the object (the aperture) and subtracting the quotient of the per-pixel average value of nearby sky count divided by the number of pixels within the aperture. 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 point spread function (PSF) fitting, to determine the individual flux values of the overlapping sources.
A number of computer programs are available for synthetic aperture photometry and PSF-fitting photometry, in some cases at no cost. Aperture Photometry Tool is a good example. It has a graphical user interface, can form an elliptical aperture (useful for measuring galaxies and comets), and has a number of powerful analysis tools. aperturephotometry.org
After determining the flux of an object in counts, the flux is normally converted into instrumental magnitude. Then, the measurement is calibrated in some way. 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. 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.
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.
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 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.
Photometric measurements can be combined with the inverse-square law to determine the luminosity of an object if its distance can be determined, or its distance if its luminosity is known. Other physical properties of an object, such as its temperature or chemical composition, may be determined via broad or narrow-band spectrophotometry. Typically photometric measurements of multiple objects obtained through two filters are plotted on a color-magnitude diagram, which for stars is the observed version of the Hertzsprung-Russell diagram. Photometry is also used to study the light variations of objects such as variable stars, minor planets, active galactic nuclei and supernovae, or to detect transiting extrasolar planets. Measurements of these variations can be used, for example, to determine the orbital period and the radii of the members of an eclipsing binary star system, the rotation period of a minor planet or a star, or the total energy output of a supernova.
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 (e.x. AAVSO) and some solicit contributions of data for their own research (i.e. CBA):
- American Association of Variable Star Observers (AAVSO). www.aavso.org
- Center for Backyard Astrophysics (CBA). www.cbastro.org
- Digital-SF Cataclysmic Variable Database (DSF-Wiki) www.digial-sf.com/dsf-wiki
- Astronomyonlin.org. http://astronomyonline.org/Exoplanets/AmateurDetection.asp
- Photometric filters
- Hapke parameters
- Bidirectional reflectance distribution function
- Redshift survey
- Sterken, Christiaan; Manfroid, J. (1992), Astronomical photometry: a guide, Astrophysics and space science library 175, Springer, pp. 1–6, ISBN 0-7923-1653-3
- Warner, Brian (2006). A Practical Guide to Lightcurve Photometry and Analysis, Springer, ISBN 0-3872-9365-5
- Mighell, Kenneth J. (1999). "Algorithms for CCD Stellar Photometry". Astronomy Society of the Pacific Conference Series 172: 317–328.
- Stetson, Peter B. (1987). "DAOPHOT: A Computer Program for Crowded-Field Stellar Photometry". Publications of the Astronomy Society of the Pacific 99: 191–222.
- Laher, Russ R. et al. (2012). "Aperture Photometry Tool". Publications of the Astronomy Society of the Pacific 124 (917): 737–763.
- Hubbell, Gerald R. (2013). Scientific Astrophotography: How Amateurs Can Generate and Use Professional Imaging Data: 264-266. Springer, ISBN 978-1-4614-5173-0
- North, Gerald, (2004). Observing Variable Stars, Novae and Supernovae, Cambridge, ISBN 0-521-82047-2