4.7 Article

BLIND EXTRACTION OF AN EXOPLANETARY SPECTRUM THROUGH INDEPENDENT COMPONENT ANALYSIS

Journal

ASTROPHYSICAL JOURNAL
Volume 766, Issue 1, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/766/1/7

Keywords

methods: data analysis; methods: observational; methods: statistical; planets and satellites: atmospheres; planets and satellites: individual (HD189733b); techniques: spectroscopic

Funding

  1. ERC [267219]
  2. STFC
  3. NERC
  4. UKSA
  5. UCL
  6. Royal Society
  7. NASA [NAS5-26555]
  8. NASA Office of Space Science [NNX09AF08G]
  9. Science and Technology Facilities Council [ST/J001511/1, ST/K001612/1] Funding Source: researchfish
  10. STFC [ST/J001511/1, ST/K001612/1] Funding Source: UKRI

Ask authors/readers for more resources

Blind-source separation techniques are used to extract the transmission spectrum of the hot-Jupiter HD189733b recorded by the Hubble/NICMOS instrument. Such a blind analysis of the data is based on the concept of independent component analysis. The detrending of Hubble/NICMOS data using the sole assumption that nongaussian systematic noise is statistically independent from the desired light-curve signals is presented. By not assuming any prior or auxiliary information but the data themselves, it is shown that spectroscopic errors only about 10%-30% larger than parametric methods can be obtained for 11 spectral bins with bin sizes of similar to 0.09 mu m. This represents a reasonable trade-off between a higher degree of objectivity for the non-parametric methods and smaller standard errors for the parametric de-trending. Results are discussed in light of previous analyses published in the literature. The fact that three very different analysis techniques yield comparable spectra is a strong indication of the stability of these results.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available