An Overview of SOM Literature

Kohonen, Teuvo

doi:10.1007/978-3-642-97610-0_9

Cited by 2 publications

(1 citation statement)

References 261 publications

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“…We could, in principle, perform a principal component analysis (PCA), and reduce the dimensions by concentrating on the space which is spanned by the first two eigenvectors of the PCA that have the highest variance. Another possibility for the reduction of dimensions is a self-organising map (SOM or Kohonen-map, Kohonen 1982Kohonen , 2001. A SOM is Figure 13.…”

Section: Selection Of Best Fitting Seds For the New Template Setmentioning

confidence: 99%

Photometric redshifts and model spectral energy distributions of galaxies from the SDSS-III BOSS DR10 data

Greisel

Seitz

Drory

et al. 2015

Monthly Notices of the Royal Astronomical Society

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We construct a set of model spectra specifically designed to match the colours of the BOSS CMASS galaxies and to be used with photometric redshift template fitting techniques. As a basis we use a set of spectral energy distributions (SEDs) of single and composite stellar population models. These models cannot describe well the whole colour range populated by the CMASS galaxies at all redshifts, wherefore we modify them by multiplying the SEDs with λ −β for λ > λ i for different values of λ i and β. When fitting these SEDs to the colours of the CMASS sample, with a burst and dust components in superposition, we can recreate the location in colour spaces inhabited by the CMASS galaxies. From the best fitting models we select a small subset in a two-dimensional plane, whereto the galaxies were mapped by a self-organizing map. These models are used for the estimation of photometric redshifts with a Bayesian template fitting code. The photometric redshifts with the novel templates have a very small outlier rate of 0.22 %, a low bias ∆z/(1 + z) = 2.0 · 10 −3 , and scatter of σ 68 = 0.026 in the restframe. Using our models, the galaxy colours are reproduced to a better extent with the photometric redshifts of this work than with photometric redshifts of SDSS.

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Section: Selection Of Best Fitting Seds For the New Template Setmentioning

confidence: 99%