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Figure 1:
The grid of stellar atmospheric parameters
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Figure 2: Reconstruction of SDSS/SEGUE spectra by projection onto synthetic principal components. In each row, the spectrum on the left is the original and the following show the reconstruction using increasing numbers of principal components. The residual spectrum (original minus reconstructed) is shown in the bottom of each panel. The quoted atmospheric parameters are taken from a preliminary version of the processing pipeline SSPP. |
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Figure 3: As Fig. 2 but for principal components built from real spectra. |
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Figure 4: PCA spectral reconstruction error, Q (defined in Eq. 6) on the evaluation data set for SR/RR/SS (solid/dashed/dotted lines, respectively) as a function of the number of eigenvectors, r, used for reconstruction. |
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Figure 5:
Atmospheric parameters estimation with
the RR model. We compare our estimated
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Figure 6: Histogram of the SNR distribution for all 38 731 stars of the real sample. For each of them, the value for SNR has been estimated from the stellar spectrum. |
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Figure 7:
Atmospheric parameters estimation with
the SR model. Comparison between our derived
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Figure 8:
More detailed visualization of the SR model discrepancies
(Fig. 7). The diamonds joined by lines show mean absolute
residual (solid lines) and mean residual (dashed lines) for low
metallicity (
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Figure 9: Comparison between SR and RR estimations on the 19 000 real spectra in common in their evaluation sets. The line shows the perfect correlation and the bottom panels the distributions of residuals. |
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Figure 10:
Distribution on the sky of the 526 stars present from SDSS/SEGUE plates 1960 and 1962. The box defines the selection criteria (
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Figure 11:
Distribution of
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Figure 12:
The left panel shows the colour-magnitude diagram for M 15, and
the two other panels the distribution of atmospheric parameters
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Figure 13:
As Fig. 12. Top:
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