From 9c7782686fd607fd4e38038ed44f0307da0cd8c7 Mon Sep 17 00:00:00 2001
From: Aaron LI <aaronly.me@outlook.com>
Date: Tue, 16 Jun 2015 16:46:23 +0800
Subject: Updated astro tools.

* fit_betasbp_cut.py
  - fixed 'dof' calculation with 'n-p-1'
  - fixed 'par_eps' calculation/configuration
  - added 'fit_model_bounds' using 'scipy.optimize.minimize' to
    perform function minimization with bounds
  - split the data cut section to function 'cut_data'
  - added argument 'options' to 'fit_model_bounds'
* marx_pntsrc.py
  Run MARX simulation on a given list of point sources, merge the
  output simulation results, and finally convert into FITS image.
* blanksky_add_time.py
  Add a time column for the chandra blanksky event file.
  The time data are generated with a uniform distribution
  between TSTART and TSTOP.
---
 astro/chandra/blanksky_add_time.py | 73 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 73 insertions(+)
 create mode 100755 astro/chandra/blanksky_add_time.py

(limited to 'astro/chandra')

diff --git a/astro/chandra/blanksky_add_time.py b/astro/chandra/blanksky_add_time.py
new file mode 100755
index 0000000..a4d0cb6
--- /dev/null
+++ b/astro/chandra/blanksky_add_time.py
@@ -0,0 +1,73 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+#
+# Aaron LI
+# 2015/06/16
+
+"""
+Add a time column for the chandra blanksky event file.
+The time data are generated with a uniform distribution
+between TSTART and TSTOP.
+"""
+
+__version__ = "0.1.0"
+__date__ = "2015/06/16"
+
+import sys
+import argparse
+
+import numpy as np
+try:
+    from astropy.io import fits
+except ImportError:
+    try:
+        import pyfits as fits
+    except ImportError:
+        raise ImportError("cannot import 'astropy.io.fits' or 'pyfits'")
+
+
+def add_time_column(fitsfile, blockname="EVENTS"):
+    """
+    Add a time column to the specified block of the input fits file.
+    The time data are generated with a uniform distribution
+    between TSTART and TSTOP.
+
+    Return:
+        A fits object with the new time column.
+    """
+    if isinstance(fitsfile, str):
+        fitsfile = fits.open(fitsfile)
+    table = fitsfile[blockname]
+    tstart = table.header["TSTART"]
+    tstop = table.header["TSTOP"]
+    counts = len(table.data)
+    time_data = np.random.uniform(tstart, tstop, counts)
+    time_col = fits.Column(name="time", format="1D", unit="s", array=time_data)
+    newtable = fits.BinTableHDU.from_columns(
+            fits.ColDefs([time_col]) + table.columns)
+    fitsfile[blockname].data = newtable.data
+    return fitsfile
+
+
+def main():
+    parser = argparse.ArgumentParser(
+            description="Add a time column for Chandra blanksky event file.")
+    parser.add_argument("-V", "--version", action="version",
+            version="%(prog)s " + "%s (%s)" % (__version__, __date__))
+    parser.add_argument("infile", help="input chandra blanksky file")
+    parser.add_argument("outfile", nargs="?", default=None,
+            help="modified blanksky file. IN-PLACE modification if omitted.")
+    parser.add_argument("-C", "--clobber", dest="clobber",
+            action="store_true", help="overwrite output file if exists")
+    args = parser.parse_args()
+
+    newfits = add_time_column(args.infile)
+    if args.outfile:
+        newfits.writeto(args.outfile, clobber=args.clobber)
+    else:
+        newfits.writeto(args.infile, clobber=True)
+
+
+if __name__ == "__main__":
+    main()
+
-- 
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