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Observational Constraints on The Evolution of Dust in ...

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Evoluti<strong>on</strong> <strong>of</strong> <strong>Dust</strong> <strong>in</strong> Protoplanetary Disks 31<br />

Figure 2.3 – Features used <strong>in</strong> the spectral type classificati<strong>on</strong> scheme <strong>of</strong> Hernández et al. (2004)<br />

are shown <strong>on</strong> the spectrum <strong>of</strong> source # 113. (A color versi<strong>on</strong> <strong>of</strong> this figure is available <strong>in</strong> the <strong>on</strong>l<strong>in</strong>e<br />

journal)<br />

ranges G0–K5 and K5–M6 (Sicilia-Aguilar et al. 2005, Briceño et al. 2005 3 ). More<br />

<strong>in</strong>formati<strong>on</strong> about this classificati<strong>on</strong> scheme can be found <strong>in</strong> the references above. In<br />

short, it is based <strong>on</strong> str<strong>on</strong>g spectral features that are sensitive to T eff but <strong>in</strong>sensitive<br />

to redden<strong>in</strong>g <strong>in</strong> a specific lum<strong>in</strong>osity class (dwarf <strong>in</strong> this case), s<strong>in</strong>ce it uses local<br />

c<strong>on</strong>t<strong>in</strong>ua for the determ<strong>in</strong>ati<strong>on</strong> <strong>of</strong> the feature’s equivalent widths (EW). It is also<br />

designed to avoid problems caused by n<strong>on</strong>-photospheric c<strong>on</strong>tributi<strong>on</strong>s (e.g. emissi<strong>on</strong><br />

l<strong>in</strong>es). <strong>The</strong> wavelength range <strong>of</strong> the WYFFOS spectra covers 12 <strong>of</strong> these features<br />

for all spectral types, while DOLORES covers 6 and the range <strong>of</strong> CAFOS covers<br />

15 features. On average, 6 features for WYFFOS, 5 features for DOLORES, and 7<br />

features for CAFOS were used for each classificati<strong>on</strong>, as exemplified <strong>in</strong> Figure 2.3.<br />

<strong>The</strong> spectral types calculated from each feature result <strong>in</strong> a weighted mean spectral<br />

type. <strong>The</strong> errors <strong>in</strong> the estimated spectral types have two c<strong>on</strong>tributi<strong>on</strong>s: the error <strong>in</strong><br />

the measurement <strong>of</strong> each feature and the error <strong>of</strong> its fit to the standard (see Hernández<br />

et al. 2004 for more details). A few objects were observed <strong>in</strong> both runs (as can be<br />

seen <strong>in</strong> Table 2.1). For these objects, both spectra were ran separately through the<br />

spectral classificati<strong>on</strong> code. <strong>The</strong>ir spectral classificati<strong>on</strong>s were found to be c<strong>on</strong>sistent<br />

with each other, typically with<strong>in</strong> <strong>on</strong>e subclass.<br />

2.4.2 Method II<br />

Due to telluric absorpti<strong>on</strong> features not corrected for <strong>in</strong> the spectra presented here,<br />

care needs to be taken when us<strong>in</strong>g automatic fitt<strong>in</strong>g <strong>of</strong> features very close to these<br />

telluric bands. To make sure that the spectral types derived <strong>in</strong> Method I are correct,<br />

an additi<strong>on</strong>al spectral typ<strong>in</strong>g procedure was applied to the data.<br />

<strong>The</strong> library <strong>of</strong> standard spectra from Mora et al. (2001), cover<strong>in</strong>g the wavelength<br />

range <strong>of</strong> 5800–7000Å, was used <strong>in</strong> this method. In this regi<strong>on</strong>, different l<strong>in</strong>es and bands<br />

3 Informati<strong>on</strong> about the code can be found at<br />

http://www.astro.lsa.umich.edu/∼hernandj/SPTclass/sptclass.html

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