Update docs for tag 0.20.0 (#358)

Author: eacharles

docs/changelog.rst

@@ -6,6 +6,11 @@ Changelog
 This page is a changelog for releases of Fermipy.  You can also browse
 releases on `Github <https://github.com/fermiPy/fermipy/releases>`_.
 
+0.20.0 (08/24/2020)
+-------------------
+* Upgrade to P8R3_XXX_V3 irfs in testing
+* Added improvements to extension fitting and residual maps
+
 0.19.0 (03/25/2020)
 -------------------
 * Switch installation procedure and to using fermitools-data for diffuse emission models

docs/config/binning.csv

@@ -5,7 +5,7 @@
 ``hpx_ebin``	True	Include energy binning
 ``hpx_order``	10	Order of the map (int between 0 and 12, included)
 ``hpx_ordering_scheme``	RING	HEALPix Ordering Scheme
-``npix``	None	Number of pixels along the x and y dimension (tuple) for WCS mode.  If none then this will be set from ``roiwidth`` and ``binsz``.
+``npix``	None	Number of pixels in the x and y direction.  If none then this will be set from ``roiwidth`` and ``binsz``.
 ``proj``	AIT	Spatial projection for WCS mode.
 ``projtype``	WCS	Projection mode (WCS or HPX).
-``roiwidth``	10.0	Width of the ROI in degrees.  The number of pixels in each spatial dimension will be set from ``roiwidth`` / ``binsz`` (rounded up) if not specified using ``npix``.
+``roiwidth``	10.0	Width of the ROI in degrees.  The number of pixels in each spatial dimension will be set from ``roiwidth`` / ``binsz`` (rounded up).

docs/config/fit_output.csv

@@ -1,10 +1,10 @@
+``edm``	`~float`	Estimated distance to maximum of log-likelihood function.
+``fit_status``	int	Optimizer return code (0 = ok).
 ``fit_quality``	int	Fit quality parameter for MINUIT and NEWMINUIT optimizers (3 - Full accurate covariance matrix, 2 - Full matrix, but forced positive-definite (i.e. not accurate), 1 - Diagonal approximation only, not accurate, 0 - Error matrix not calculated at all)
-``errors``	`~numpy.ndarray`	Vector of parameter errors (unscaled).
-``loglike``	`~float`	Post-fit log-likehood value.
+``covariance``	`~numpy.ndarray`	Covariance matrix between free parameters of the fit.
 ``correlation``	`~numpy.ndarray`	Correlation matrix between free parameters of the fit.
-``config``	`~dict`	Copy of input configuration to this method.
-``values``	`~numpy.ndarray`	Vector of best-fit parameter values (unscaled).
 ``dloglike``	`~float`	Improvement in log-likehood value.
-``fit_status``	int	Optimizer return code (0 = ok).
-``covariance``	`~numpy.ndarray`	Covariance matrix between free parameters of the fit.
-``edm``	`~float`	Estimated distance to maximum of log-likelihood function.
+``loglike``	`~float`	Post-fit log-likehood value.
+``values``	`~numpy.ndarray`	Vector of best-fit parameter values (unscaled).
+``errors``	`~numpy.ndarray`	Vector of parameter errors (unscaled).
+``config``	`~dict`	Copy of input configuration to this method.

docs/config/roiopt_output.csv

@@ -1,4 +1,4 @@
-``loglike1``	`~float`	Post-optimization log-likelihood value.
 ``loglike0``	`~float`	Pre-optimization log-likelihood value.
-``config``	`~dict`	Copy of input configuration to this method.
+``loglike1``	`~float`	Post-optimization log-likelihood value.
 ``dloglike``	`~float`	Improvement in log-likehood value.
+``config``	`~dict`	Copy of input configuration to this method.