Add new covmat feature to ctlike docu (+ a few tab corrections)

Alexander Ziegler
1 parent 5ff7129b
Showing 2 changed files with 17 additions and 11 deletions
doc/source/users/reference_manual/ctlike.rst
src/ctlike/ctlike.cpp
@@ -48,9 +48,13 @@ the spatial model parameters can be kept fixed during that computation
 ctlike generates an output model XML file that contains the values of the 
 best fitting model parameters. For all free parameters, an ``error`` attribute
 is added that provides the statistical uncertainty in the parameter estimate.
-If computation of the Test Statistics has been requested for a model component,
-a ``ts`` attribute providing the Test Statistics value is added. The output
-model can be used as an input model for other ctools.
+In addition, the entire output of the covariance matrix to a separate FITS file
+can be queried (parameter ``covmat``). The parameter order given in the file
+corresponds to the arrangement of the covariance matrix entries. If computation
+of the Test Statistics has been requested for a model component, a ``ts``
+attribute providing the Test Statistics value is added. The output model can be
+used as an input model for other ctools.
+
 General parameters
@@ -92,9 +96,12 @@ General parameters
 ``(fix_spat_for_ts = no) [boolean]``
     Fix spatial parameters for TS computation.
- 	 	 
- 	 	 
+``(covmat = NONE) [string]``
+    Output FITS file to store covariance matrix.
+
+
+ 
 Standard parameters
 -------------------
@@ -228,20 +228,19 @@ void ctlike::run(void)
     // Optimize model parameters using LM optimizer
     optimize_lm();
-    // Save covarianve matrix if valid filename is passed
+    // Save covariance matrix if valid filename is passed
     if (is_valid_filename(m_covmat)) {
-    // Write header
-    log_header1(TERSE, "Saving covariance matrix");
+        // Write header
+        log_header1(TERSE, "Saving covariance matrix");
-    // Log filename
-    log_value(NORMAL, "Covariance matrix file", m_covmat.url());
+        // Log filename
+        log_value(NORMAL, "Covariance matrix file", m_covmat.url());
         // Save covarianve matrix
         m_obs.save_covmat(m_covmat);
     }
-
     // Store Npred
     double npred = m_obs.npred();