Difference between revisions of "SZastro"

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'''LRGs'''
 
'''LRGs'''
  
[[File:SN_LRG.png width="500px"]]
+
[[File:SN_LRG.png]]
[[File:Pars_LRG.png width="500px"]]
+
[[File:Pars_LRG.png]]
  
 
Epsilon is the feedback efficiency, and alpha is the normalization of the non-thermal pressure support. Also, Blue = 4m, Green = 5m, Red = 6m.
 
Epsilon is the feedback efficiency, and alpha is the normalization of the non-thermal pressure support. Also, Blue = 4m, Green = 5m, Red = 6m.
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'''QSOs'''
 
'''QSOs'''
  
[[File:SN_QSO.png width="500px"]]
+
[[File:SN_QSO.png]]
[[File:Pars_QSO.png width="500px"]]
+
[[File:Pars_QSO.png]]
  
 
To Do:
 
To Do:
 
Looking into well motivated science requirements for the S4-CDT[[File:Example.jpg]]. One idea is to couple these constraints to the baryonic effects on p(k), this is k dependent but we should be able to decide on a k range and accuracy to which we need to constrain feedback etc. Any other ideas would be very helpful.
 
Looking into well motivated science requirements for the S4-CDT[[File:Example.jpg]]. One idea is to couple these constraints to the baryonic effects on p(k), this is k dependent but we should be able to decide on a k range and accuracy to which we need to constrain feedback etc. Any other ideas would be very helpful.

Revision as of 10:26, 8 March 2017

Background discussion

(Nick writing of behalf of Simone, Emmanuel, and David)

We forecasted S/N and constraints on feedback and non-thermal pressure support for samples of LRGs and QSOs using combined tSZ and kSZ observations and a DESI-like spectroscopic. Here we use the the numbers density of objects quoted in | Table 3 of the DESI white paper.

LRGs

SN LRG.png Pars LRG.png

Epsilon is the feedback efficiency, and alpha is the normalization of the non-thermal pressure support. Also, Blue = 4m, Green = 5m, Red = 6m.

QSOs

SN QSO.png Pars QSO.png

To Do: Looking into well motivated science requirements for the S4-CDTExample.jpg. One idea is to couple these constraints to the baryonic effects on p(k), this is k dependent but we should be able to decide on a k range and accuracy to which we need to constrain feedback etc. Any other ideas would be very helpful.