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-Mass Profile Calculation Tools
+Mass/Luminosity/Flux Calculation Tools
==============================
Junhua GU, Weitian LI, Zhenghao ZHU
@@ -6,32 +6,32 @@ Junhua GU, Weitian LI, Zhenghao ZHU
Introduction
------------
-This directory contains the tools/scripts used to calculate the mass profile
-for our big Chandra ACIS sample of galaxy groups and clusters.
+This directory contains the tools/scripts used to fit the temperature
+profile and surface brightness file, to calculate the gas density profile
+and gravitational mass profile, to calculate luminosity and flux and
+other related quantities.
NOTE
----
-* mass calculation references:
- + Walker et al. 2012, MNRAS, 422, 3503-3515
+* Mass calculation references:
+ + Walker et al. 2012, MNRAS, 422, 3503-3515,
[ADS:2012MNRAS.422.3503W](http://adsabs.harvard.edu/abs/2012MNRAS.422.3503W)
- + Ettori et al. 2013, Space Science Reviews, 177, 119-154
+ + Ettori et al. 2013, Space Science Reviews, 177, 119-154,
[ADS:2013SSRv..177..119E](http://adsabs.harvard.edu/abs/2013SSRv..177..119E)
* Errors are calculated at 68% confident level.
* NFW profile is employed to extrapolate the mass profile.
-* We use a self-proposed model (i.e., *wang2012* model) to describe/fit the gas
- temperature profile.
+* We use a self-proposed model (see ``wang2012_model.hpp``) to describe/fit
+ the gas temperature profile.
* The single-beta and double-beta models (with a constant background) are used
to describe the gas density profile.
TODO
----
-* to add compilation macro to make pgplot and X11 optional
-* to merge the scripts/tools for single-beta and double-beta SBP models
+* Merge the scripts/tools for single-beta and double-beta SBP models
(to reduce code duplications)
-* the uncertainties/errors calculation **maybe** inappropriate/problematic
- (e.g., ``analyze_mass_profile.py``)
- why not just use the quantile-based (e.g., Q84.15-Q15.85 ~= 68.3%) uncertainties
- or standard deviation ???
-
+* Uncertainties/errors calculation **maybe** inappropriate/problematic
+ (e.g., ``analyze_mass_profile.py``);
+ why not just use the quantile-based (e.g., Q84.15-Q15.85 ~= 68.3%)
+ uncertainties or standard deviation???