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authorAaron LI <aly@aaronly.me>2017-08-15 10:24:22 +0800
committerAaron LI <aly@aaronly.me>2017-08-15 10:24:22 +0800
commit6e4ab2caef5e3d24e81e5756d95e4a0f5c9a21f0 (patch)
treedd320c62106c0b95184de0f75b7ef6e1c0b59a55
parent1d8280961cf95887dc532da56ea595e097889b38 (diff)
downloadchandra-acis-analysis-6e4ab2caef5e3d24e81e5756d95e4a0f5c9a21f0.tar.bz2
Update HOWTO against change to "update_manifest.py"
-rw-r--r--doc/HOWTO_chandra_acis_analysis.txt5
1 files changed, 2 insertions, 3 deletions
diff --git a/doc/HOWTO_chandra_acis_analysis.txt b/doc/HOWTO_chandra_acis_analysis.txt
index f433842..675c146 100644
--- a/doc/HOWTO_chandra_acis_analysis.txt
+++ b/doc/HOWTO_chandra_acis_analysis.txt
@@ -3,7 +3,7 @@
## Analyze Chandra ACIS data
##
## Weitian LI <liweitianux@gmail.com>
-## Updated: 2017-02-07
+## Updated: 2017-08-15
##
@@ -12,8 +12,7 @@ Step-by-step guide to analyze ACIS data:
(1) Create new level=2 events with newest calibrations, and build
"manifest.yaml" for later use:
$ chandra_repro indir=. outdir=repro verbose=2
- $ touch manifest.yaml
- $ update_manifest.py -r repro
+ $ update_manifest.py -c -r repro
(??) <TODO> build 'results.yaml' (ra_ned, dec_ned, nh, z, etc.)
(2) $ mkdir -p evt bkg img spc/profile mass
(3) $ cd evt