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DM halo properties for clusters #147

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aamara opened this issue Apr 17, 2020 · 9 comments
Closed

DM halo properties for clusters #147

aamara opened this issue Apr 17, 2020 · 9 comments
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module: cluster module: halos new feature New feature, such as a new model
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@aamara
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aamara commented Apr 17, 2020

Come up with a minimal list of the dark matter properties that are needed to model clusters.

@bnord
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bnord commented Apr 17, 2020

Colossus doesn't appear to have velocity dispersion. (closest thing was spashback and a reference to circular velocities)

@bnord
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bnord commented Apr 17, 2020

Ideas for list

  • eccentricity
  • mass
  • angular momentum
  • redshift
  • radius
  • concentration

@bnord
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bnord commented Apr 17, 2020

It seems like Colossus is the closest thing for this?
Should we implement an import of that + our own basic versions of a few key things -- like some mass function?

@Lucia-Fonseca
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There is an issue regarding the implementation of COLOSSUS here #16.

@umetic
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umetic commented Apr 17, 2020

Probably we may need velocity dispersions (at fixed halo mass) characterized from N-body simulations. Velocity anisotropy beta(r) in halos is quite substantial and strongly radially dependent.

According to N-body simulations, it seems not that complicated for DM particles: Munari+13
https://ui.adsabs.harvard.edu/abs/2013MNRAS.430.2638M/abstract

I suppose it is also sensitive to assembly histories (or dynamical state).
https://arxiv.org/abs/0909.4302

Velocity anisotropy beta(r) = 1-sigma_theta(r)^2/sigma_r(r)^2 (sigma_theta=sigma_phi assumed)

@bnord
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bnord commented Apr 17, 2020

@umetic For the first simplest working version, should we consider the cluster properties as the thing we need to make sure we can achieve and work backward to halo properties?

@umetic
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umetic commented Apr 17, 2020

@umetic For the first simplest working version, should we consider the cluster properties as the thing we need to make sure we can achieve and work backward to halo properties?

I think it's a good idea. We may work out the best way of characterizing cluster halos while working through.

@umetic
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umetic commented Apr 17, 2020

Ideas for list

  • eccentricity
  • mass
  • angular momentum
  • redshift
  • radius
  • concentration

Thanks for the list!

From the point of view of population modeling of DM halos as a whole, for a given cosmology and a mass function N(M200m,z) [+assuming an NFW profile], we should be able to specify and draw from PDFs(M, z) all relevant properties: halo concentration c200c=R200c/rs, ellipsoidal axis ratios (a/c, b/c), ... This picture ignores a lot of underlying physics (formation epochs, assembly histories), which is replaced by a set of intrinsic scatters.

Regarding the angular momentum, it is related with the orbital velocity anisotropy beta(r) and also the central cusp slope of DM density (or the Einasto shape parameter). These quantities are more difficult to link with halo mass etc.

If we are to model ellipsoidal halos, their orientations should be in phase with their surrounding large-scale environment (coupled with the mass accretion rate) - at least statistically.
https://ui.adsabs.harvard.edu/abs/2018MNRAS.477.2141O/abstract

@rrjbca rrjbca added the new feature New feature, such as a new model label Apr 24, 2020
@rrjbca rrjbca added this to the Version 0.2 milestone Apr 24, 2020
@rrjbca rrjbca modified the milestones: Version 0.2, Version 0.3 Jul 15, 2020
@ntessore
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Let's close this generic issue and open specific issue for the required dark matter properties, e.g. #234 requires the circular velocity #248.

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