Difference between revisions of "SZastro"
| Line 7: | Line 7: | ||
'''LRGs''' | '''LRGs''' | ||
| − | [[File:SN_LRG.png | + | [[File:SN_LRG.png]] |
| − | [[File:Pars_LRG.png | + | [[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. | ||
| Line 14: | Line 14: | ||
'''QSOs''' | '''QSOs''' | ||
| − | [[File:SN_QSO.png | + | [[File:SN_QSO.png]] |
| − | [[File:Pars_QSO.png | + | [[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
(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
Epsilon is the feedback efficiency, and alpha is the normalization of the non-thermal pressure support. Also, Blue = 4m, Green = 5m, Red = 6m.
QSOs
To Do:
Looking into well motivated science requirements for the S4-CDT
. 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.
