Update README.md

README.md

@@ -3,7 +3,7 @@ Algorithms for cleaning JWST data.
  - `SnowblindStep`: mask cosmic ray showers and snowballs
  - `JumpPlusStep`: Propagate JUMP_DET and SATURATED flags in GROUPDQ properly for frame-averaged groups
  - `PersistenceFlagStep`: flag pixels effected by persistence exposure-to-exposure
- - `OpenPixelStep`: flag new open pixels, hot pixels, or open adjacent pixels
+ - `OpenPixelStep`: flag new open pixels, hot pixels, or open adjacent pixels via self-cal
 
 
 ## Installation
@@ -14,13 +14,13 @@ Algorithms for cleaning JWST data.
 
 ## Usage
 
-The steps in snowblind run like any other pipeline steps.  From the command line you can run the step on the result file from JumpStep:
+The steps in snowblind run like any other pipeline steps.  From the command line you can run `SnowblindStep` (aliased as `snowblind`) on the result file from JumpStep:
 
     strun snowblind jw001234_010203_00001_nrcalong_jump.fits --suffix=snowblind
 
-Or you can run it as a post-hook in a full pipeline
+Or you can run `SnowblindStep` and `JumpPlusStep` as post-hooks after `JumpStep` in a full pipeline, remembering to turn off the default snowball flagging.
 
-    strun calwebb_detector1 jw001234_010203_00001_nrcalong_uncal.fits --steps.jump.post_hooks="snowblind.SnowblindStep","snowblind.JumpPlusStep"
+    strun calwebb_detector1 jw001234_010203_00001_nrcalong_uncal.fits --steps.jump.post_hooks="snowblind.SnowblindStep","snowblind.JumpPlusStep" --steps.jump.flag_large_events=False
 
 In Python, we can insert `SnowblindStep` and `JumpPlusStep` after `JumpStep` as a post-hook: