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observational overview of state transitions in x-ray binaries

observational overview of state transitions in x-ray binaries

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STATE CLASSIFICATION<br />

• Various classification schemes, us<strong>in</strong>g (broadband) spectral and<br />

variability <strong>in</strong>formation<br />

• McCl<strong>in</strong>tock & Remillard 2005 (focused on three ‘stable’<br />

<strong>state</strong>s)<br />

• Homan & Belloni 2005 (focused on <strong>transitions</strong>)<br />

• Future schemes may use X-<strong>ray</strong> l<strong>in</strong>e spectra, multi-wavelength<br />

<strong>in</strong>formation, etc.<br />

Okay, let’s move on to the <strong>state</strong>s. As I said before, <strong>state</strong>s are typically def<strong>in</strong>ed as dist<strong>in</strong>ct<br />

comb<strong>in</strong>ations <strong>of</strong> X-<strong>ray</strong> spectral and variability properties, and, as I said earlier we believe that<br />

these <strong>state</strong>s reflect different modes <strong>of</strong> accretion.<br />

Through the years various <strong>state</strong> classification schemes have been proposed, but the two most<br />

commonly used ones are the ones by McCl<strong>in</strong>tock and Remillard, which put more emphasis on<br />

the ‘stable’ <strong>state</strong>s, and the one by myself and Tomaso Belloni, which puts more emphasis on<br />

the <strong>transitions</strong> between <strong>state</strong>s. To a large extend these schemes are consistent though, and I<br />

will use def<strong>in</strong>itions from both schemes<br />

With the wealth <strong>of</strong> multi-wavelength data becom<strong>in</strong>g available, future schemes might actually<br />

<strong>in</strong>clude more than X-<strong>ray</strong> spectra and variability alone.

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