 |  |
Astron. Astrophys. 332, 459-478 (1998)
4. PCA and spectral sequence: test on Kennicutt galaxies
Connolly et al. (1995) have shown using the
spectra from Kinney et al. (1996), that the first 2 projections of the
PCA define a sequence tightly correlated with the morphological type.
Folkes et al. (1996) and Sodre & Cuevas (1997) have demonstrated
this property using a larger sample of spectra of local galaxies,
namely the sample of Kennicutt (1992a). Here we use again the
Kennicutt sample to complement the previous studies and to serve as
comparison sample for the ESS sample. We have selected 27 normal
Kennicutt galaxies from Hubble types E0 to Im, by discarding peculiar
morphological types, and excluding spectra of galaxies with a
particular spatial sampling (strong HII regions or high extinction
zones). Table 2 lists the ID, the names and morphological types
of the selected galaxies. We apply the PCA to these spectra restricted
to the spectral range 3700 to 6800 Å, with a pixel size of 5
Å, which is the highest possible resolution for that sample (see
Kennicutt 1992a).
![[TABLE]](img70.gif)
Table 2. Kennicutt galaxies selected for PCA.
Left panel of Fig. 3 shows the angles
and [see Eqs. (4a) and (4b)] for the 27
chosen Kennicutt spectra (see Table 2), showing the tight
sequence strongly correlated with the morphological type, already
shown by Sodre & Cuevas (1994), Connolly et al.
(1995) and Folkes et al. (1996), using
different coordinates.
With only the first 3 PC's, we can reconstruct, on average, 98% of
the signal of each Kennicutt spectrum in Table 2. PC's of
superior order do not contribute more than 2% to the signal. This was
already demonstrated by Connolly et al. (1995),
using the observed spectra of Kinney et al. (1996). The physical
reason for this striking feature is closely related to the fact that
the fundamental spectral features of normal galaxies can be described
by a reduced number of stellar spectra, namely spectral types AV and
M0III. This was first suggested by Aaronson (1978), using UVK
color-color diagrams (see also Bershady 1993, 1995). To probe this
effect using the PCA approach, we project stellar spectra (from
Sviderkien 1988) of stars with types A0, A2, G0, and K0 of the main
sequence, and two spectra corresponding to giants M0 and M1, onto the
first 3 PC's from the Kennicutt sample and derive the values of
and . Symbols other than
points in the left panel of Fig. 3 show that the A stars and the
M giants mark the extreme regions (or the extrapolation) of the Hubble
sequence, whereas the G and K stars are located inside the sequence.
In addition, the right panel of Fig. 3 shows the surprising
similarity between the second PC of the Kennicutt sample (with the
emission lines eliminated) and the second PC from the stellar spectral
sample. This extends and further demonstrates the results of Aaronson
(1978) and allows us to conclude that the spectra of nearby galaxies
with normal Hubble types, may be described with a reduced number of
stellar spectra (2 types), at least in the spectral range which is
considered here. Because the position of the observed galaxies along
the axis accounts for the relative
contributions of the red and blue stellar populations in the observed
galaxies, we adopt the parameter to describe
the spectral sequence.
![[FIGURE]](img71.gif) |
Fig. 3a and b. The Kennicutt spectra of normal Hubble types (left figure, dots), onto the classification plane. Red or early type galaxies are to the left with 0 and blue or late types are to the right with 0. The deviation in the parameter is mainly related to the emission lines. The circles and squares indicate the position of the spectra of main sequence stars and giant stars, respectively. The right panel shows a comparison between the second PC from the sample of Kennicutt normal galaxies (thin line) and the PC from the sample of stars appearing in the left panel (thick line).
|
As a complement, the parameter conveniently
characterizes the presence of emission lines. The emission lines play
an important role in the spectral classification of galaxies. They
serve to characterize the strength of star formation, the nuclear
activity and abundances, using for example the ratio between the
strength of different emission lines. Francis et al.
(1992), apply successfully the PCA technique to
understand the systematic properties of QSO's. The role of
is demonstrated by truncating the emission
lines from all the Kennicutt spectra. This is done by fitting a
polynomial of degree one to the adjacent continuum for each line. The
resulting values of and
are shown in Fig. 4. The ordering of the Hubble sequence along
the axis remains the same as for the sample
with emission lines. However, all spectra now have smaller
values.
![[FIGURE]](img74.gif) |
Fig. 4. The figure shows the Kennicutt templates with the emission lines removed, projected onto the spherical space ( , ), with the same scale as in Fig. 3.
|
Fig. 4 therefore shows that the emission lines increase the
dispersion in the ( , )
plane, placing galaxies with strong emission lines far from the
equator defined by = 0. The known correlation
between star formation and/or activity and the Hubble type for
morphologically normal galaxies explains the observed correlation
between and in
Fig. 3.
Folkes et al. (1996) have studied in detail the reconstruction
error as a function of the S/N in the input spectra, using simulated
spectra constructed from the Kennicutt sample. They also demonstrated
the greatly improved capability of the PCA for filtering the noise
over other standard techniques. Here we also find that the noise in
the input spectra has no effect onto the classification space
( , ) and that the observed
sequence remains unchanged when adding
arbitrarily high noise onto the Kennicutt spectra of Table 2:
decreasing the S/N of the spectra down to 10% of their original value
yields a change of on the average
( changes by for galaxies
without emission lines, that is types E0 to Sa, with
; for types Sc and
Sm/Im, with ).
© European Southern Observatory (ESO) 1998
Online publication: March 23, 1998
helpdesk.link@springer.de  |