Asymmetric Division in the Immuno-Hematopoietic System

Jimenez‐Teja, Daniel; Martín-Blanco, Nadia; Cañelles, Matilde

doi:10.5772/34001

Cited by 1 publication

(2 citation statements)

References 56 publications

(65 reference statements)

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“…That means that we have a different basis for each value of L, able to fit the twodimensional light distribution of any galaxy in the sky. The effectiveness of a basis, that is, the number of CHEF elements required to efficiently model an object within a certain level of accuracy, depends on the optimization of the scale L. This parameter expresses the level of compression or dilation of the CHEF functions in the plane, thus it is related to the size of the object being fitted (see Jiménez-Teja et al (2015) for further details). Once the value of L is set, the decomposition of the light surface distribution of a galaxy f (r, θ) into a linear combination of CHEFs is:…”

Section: Chefs Mathematical Backgroundmentioning

confidence: 99%

“…The accuracy in the CHEFs models makes them ideal to be applied to many different study fields apart from the morphology, as for instance, photometric measurements (Jiménez-Teja et al 2015). In this work we will use the CHEFs not only to fit the galaxies in the cluster images, but also to disentangle the luminous bulk of the BCG from the ICL.…”

Section: Icl Disentangling With the Chefsmentioning

confidence: 99%

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DISENTANGLING THE ICL WITH THE CHEFs: ABELL 2744 AS A CASE STUDY

Jiménez-Teja

Dupke

2016

ApJ

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Measurements of the intracluster light (ICL) are still prone to methodological ambiguities and there are multiple techniques in the literature for that purpose, mostly based on the binding energy, the local density distribution, or the surface brightness. A common issue with these methods is the a priori assumption of a number of hypotheses on either the ICL morphology, its surface brightness level or some properties of the brightest cluster galaxy (BCG). The discrepancy on the results is high, and numerical simulations just bound the ICL fraction in present-day galaxy clusters to the range 10-50%. We developed a new algorithm based on the Chebyshev-Fourier functions (CHEFs) to estimate the ICL fraction without relying on any a priori assumption on the physical or geometrical characteristics of the ICL. We are able to not only disentangle the ICL from the galatic luminosity but mark out the limits of the BCG from the ICL in a natural way. We test our tecnique with the recently released data of the cluster Abell 2744, observed by the Frontier Fields program. The complexity of this multiple merging cluster system and the formidable depth of these images make it a challenging test case to prove the efficiency of our algorithm. We found a final ICL fraction of 19.17±2.87%, which is very consistent with numerical simulations.

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Section: Chefs Mathematical Backgroundmentioning

confidence: 99%

Section: Icl Disentangling With the Chefsmentioning

confidence: 99%