7.4 Results

In this section we plot the separated E(H - K)cs against the equivalent widths of various emission features from the spectra presented in Papers II, III and IV and test to see if the quantities are related by using a Spearman rank test which is non-parametric. Where we believe a linear correlation exists we calculate best fit lines using a least squares fit weighted to errors in the ordinate axis. For each of these linear cases we display the calculated equations above each plot and the standard deviation, in the ordinate direction, about the fitted line in the residuals section of the plot. These values are also recorded in Table 7.2.

We removed the underlying photospheric absorption by combining our spectra with values of corresponding B star absorption lines tabulated in Hanson et al. (1996) and Hanson et al. (1998).

We note here two stars whose results do not conform with rest of the sample. When plotted in our preliminary results, specifically Figures 7.3, 7.7, 7.8, 7.9, 7.10, 7.12, 7.13 & 7.14: BD+37 03856 has an anomalous spectral energy distribution (SED) for a Be star. Each of the other stars in our sample has a SED of the the form J >H >K or K >H > J, where JHK are fluxes, however the SED of this star is such that J >H <K. This star also exhibited the most extreme point on our plots having the most negative E(H - K)cs, we therefore remove the point from our plots but for completeness list the object in Table 7.1. A possible explanation for this SED is thermal emission from dust, although we note that the object is not in the IRAS point source catalogue.

BD+57 00681 also exhibits a large, negative E(H -K)cs. The random error on this object is small at < 1% and it lies a long way from our calculated fit. We find no reason however to remove the point from the data set.

7.4.1 Brg, Br11, Br18 and Ha


Circumstellar excess versus H-Alpha EW
Figure 7.7: Circumstellar excess versus Ha EW/Å. The fitted line is a least squares fits weighted to the ordinate axis errors


Circumstellar excess versus Br-Gamma EW
Figure 7.8: Circumstellar Excess Versus Brg EW/Å. The fitted line is a least squares fits weighted to the ordinate axis errors


Circumstellar excess versus Br11 EW
Figure 7.9: Circumstellar excess versus Br11 EW/Å. The fitted line is a least squares fits weighted to the ordinate axis errors


Circumstellar excess versus Br18 EW
Figure 7.10: Circumstellar excess versus Br18 EW/Å. The fitted line is a least squares fits weighted to the ordinate axis errors

Our Brg EW come from (Clark and Steele2000) and have an error of ~10%. Br18 EW and Br11 EW are extracted from (Steele and Clark2001) and also have errors of ~10%. Ha data come from (Steele and Negueruela2002) and again have an error of ~10%.

We plot the E(H - K)cs against Brg, Br18, Br11 and Ha in Figures 7.77.87.9 and 7.10. There is an obvious correlation in each of the plots, re-enforced by the > 4.0s confidence levels produced by the Spearman tests. We fit lines of least squares, weighted to the ordinate axis errors, to the data in order to ascertain any linear correlation.

It is worthy of note that van Kerkwijk et al. (1995) present similar results to ours regarding the relationship between line equivalent width and continuum excess, although they present Ha versus J-L excess emission. In that study, as with our results there is a strong (apparently linear) correlation between the lines and continuum excess. This correlation is not surprising, as the hydrogen lines and the near-IR excess continuum are typically formed in the same regions of the disc. van Kerkwijk et al. (1995) also show the line-excess continuum correlations for two popular models of the disc - Waters’ disc model (Waters1986b), and the Poeckert & Marlborough model (PM) (Poeckert and Marlborough1978) - and find that neither can replicate the results particularly well. The PM model produces too little line emission for a given continuum excess, and the disc model produces too much line emission, unless a large density gradient is used (a radial density power law with an index larger than 3.5 seems to be necessary which appears to be inconsistent with the results obtained from IRAS data). Whilst there is a large scatter in the data, we present the linear best-fit relationship from our results which any new model of Be star discs should attempt to reproduce.

7.4.2 Helium I 2.058mm

The HeI 2.058mm emission is confined to the early stars of the sample, being seen in 19 of the 34 stars with spectral types determined in (Steele et al.1999) to be earlier than B2.5. It should be noted that 15 stars showed no Helium I 2.058mm emission within the accuracy of our measurements. Whilst a reading of absolutely zero is unlikely we believe that more accurate readings of these objects will only reveal a gaussian distribution of the objects about zero. Our correlation test will therefore remain uneffected. In Figure 7.11 we plot E(J - H)cs versus HeI 2.058mm. We note that data in Hanson et al. 1996 shows the absorption lines for the HeI 2.0581mm line to be negligible and so no correction has been made. Figure 7.11 has rs = 0.38 and is therefore correlated at > 3.5s confidence level, although no linear correlation seems to exist. This is likely due to the fact that the HeI 2.058mm line is extremely sensitive to changes in the UV continuum and optical depth (Clark and Steele2000).


Circumstellar excess versus HeI 2.058umEW
Figure 7.11: Circumstellar excess versus HeI 2.058mm EW/Å.

7.4.3 Spectral Type


Circumstellar excess versus Spectral subtype
Figure 7.12: Circumstellar excess versus spectral subtype.

Figure 7.12 shows a plot of circumstellar excess against spectral type, we note that there appears to be no correlation and that rs = 4 × 10-3 which gives a confidence level of < 1s. However, the shape of the distribution is similar to that seen in (Clark and Steele2000) and (Steele and Clark2001) for the strength of the Balmer series lines, with a broader range of excess around B1-B2. We note also that there is no correlation between luminosity class and circumstellar excess.

7.4.4 v sin(i) & w sin(i)

Stellar rotation has been fundamentally linked with the generation of the Be phenomenon (e.g., Slettebak 1988, Slettebak 1982). If rotation is the sole cause of the phenomenon then we would expect to see a strong correlation between rotational velocity and circumstellar excess. We therefore also plot E(H - K)cs versus v sin(i): see Figures 7.13 &  7.14, where velocity data are extracted from (Steele et al.1999) and (Clark and Steele2000). Dougherty et al. (1994) and Waters (1986a) both find a similar result, that there is no correlation between v sin(i) and colour excess. However from Spearman rank tests we are able say that v sin(i) and E(H - K)cs (see Figure 7.13) are related at a > 4.0s confidence level. In an attempt to remove spectral type dependence we also plot w sin(i) versus E(H - K)cs, see Figure 7.14, where w sin(i) = v sin(i)/vcrit with vcrit taken from (Clark and Steele2000), ( see Porter 1996 for a discussion of the merits of using w sin(i) compared to v sin(i)). This plot exhibits a smaller scatter than our v sin(i) plot, it is also correlated at confidence level of > 4.0s.


Circumstellar excess versus vsin(i) EW
Figure 7.13: Circumstellar excess versus v sin(i).


Circumstellar excess versus wsin(i)
Figure 7.14: Circumstellar excess versus w sin(i).


Plot r Sig. level Conf. level Stan. dev. Gradient Intercept ____ E(H - K)cs vs Ha 0.83 > 0.0005 > 4.0s ±0.07 0.006±0.000 -0.030±0.002 E(H - K)cs vs Br11 0.75 > 0.0005 > 4.0s ±0.07 0.023±0.000 -0.072±0.003 E(B - V )(H-K) is vs E(B - V )is+cs 0.74 > 0.0005 > 4.0s ±0.25 0.814±0.007 0.168±0.003 E(H - K)cs vs Br18 0.70 > 0.0005 > 4.0s ±0.07 0.028±0.000 0.017±0.002 E(H - K)cs vs Brg 0.69 > 0.0005 > 4.0s ±0.09 0.010±0.000 0.008±0.001 E(H - K)cs vs v sin(i) 0.58 > 0.0005 > 4.0s - - - E(H - K)cs vs w sin(i) 0.54 > 0.0005 > 4.0s - - - E(B - V )is+cs vs sodium EW 0.56 > 0.0005 > 4.0s ±0.24 0.39 0.13 E(H - K)is vs sodium EW 0.47 > 0.0005 > 4.0s ±0.06 0.065±0.005 0.049±0.003 E(B - V )(H-K) is vs sodium EW 0.45 > 0.0005 > 4.0s ±0.31 0.37 0.15 E(H - K)cs vs HeI EW 0.38 0.005 > 3.5s - - - E(H - K)cs vs spectral type 4 × 10-3 - < 1s - - - E(H - K)cs vs sodium EW -0.08 - < 1s - - -__________ Table 7.2: We present our data table in order of descending Spearman rank coefficient, r (Col. 2), Col 3, sig. level, are the one-tailed significance levels of the Spearman rank Correlation and are extracted from (Wall, 1996). Col 4 are the one-tailed confidence levels of our correlations and are extracted from (Wall, 1979) and Col. 5 is the standard deviation about the fitted least squares fits line in the ordinate direction. In Col. 6 we present the gradient of those fits and Col. 7 is the intercept.