atoolbox.git - Personal toolbox

	Commit message (Collapse)	Author	Age	Files	Lines
*	astro/21cm/get_slice_zfreq.py: Fix header keywords usage	Aaron LI	2017-06-11	1	-1/+10
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*	Add astro/21cm/get_slice_zfreq.py	Aaron LI	2017-06-11	1	-0/+112
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*	astro/fits/fitscube.py: Fix a astropy.io.fits write warning	Aaron LI	2017-06-11	1	-1/+4
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*	Move some tools for better management	Aaron LI	2017-06-11	8	-2/+2398
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*	Add astro/21cm/extract_slice.py	Aaron LI	2017-06-11	1	-0/+84
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*	Add astro/21cm/{freq2z,z2freq,cube_mean}.py	Aaron LI	2017-06-11	3	-0/+116
\| \| \| \|	Migrated from my other repo 21cmFAST/tools.
*	astro/oskar/runOSKAR.py: fix ConfigParser error and update arguments	Aaron LI	2017-06-11	1	-15/+49
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*	astro/fitscube.py: Update header processing	Aaron LI	2017-05-30	1	-5/+8
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*	Add astro/fitscube.py: Create FITS cube from image slices	Aaron LI	2017-05-29	1	-0/+169
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*	Add astro/oskar/{runOSKAR.py,vis2images.py}	Aaron LI	2017-05-13	2	-0/+740
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*	Move region.py to astro dir	Aaron LI	2017-02-18	1	-0/+78
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*	astro/query_{ned,simbad}.py: Use list() on map()	Aaron LI	2017-02-12	2	-10/+4
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*	astro/query_simbad.py: Significant update to sync with 'query_ned.py'	Aaron LI	2017-02-11	1	-59/+57
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*	astro/query_ned.py: Add argument "--brief", some updates	Aaron LI	2017-02-11	1	-9/+10
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*	Add astro/cosmo_calc from "chandra-acis-analysis"	Aaron LI	2016-05-28	10	-0/+590
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*	astro/query_ned.py: also output RA, DEC results	Aaron LI	2016-05-25	1	-20/+27
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*	astro/query_ned.py: simplify queried results process; update arguments process	Aaron LI	2016-05-25	1	-59/+51
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*	astro/query_ned.py: some PEP8 fixes; update comment a bit	Aaron LI	2016-05-25	1	-21/+26
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*	fix fenc=utf-8	Aaron LI	2016-03-31	1	-1/+1
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*	add all scripts/tools	Aaron LI	2016-03-31	1	-0/+159
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*	Update marx/randpoints.py	Aaron LI	2016-01-18	1	-2/+5
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*	Add lc_clean.py, query_ned.py, query_simbad.py	Aaron LI	2016-01-18	3	-0/+423
\| \| \| \| \| \| \|	* lc_clean.py: iteratively clip the lightcurve and make a TXT-format GTI file for use in xselect (for Suzaku data filtering) * query_ned.py, query_simbad.py: query NED/SIMBAD using 'astroquery' by supplying the source name
*	Add `randpoints.py` to generate point source informations	Aaron LI	2015-12-12	2	-5/+355
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*	Added astro/fits/merge_fits.py	Aaron LI	2015-06-17	2	-2/+254
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*	Updated astro tools.	Aaron LI	2015-06-16	3	-12/+188
\| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \|	* 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.
*	Updated fit_betasbp_cut.py to v0.5.0, supported parameter bounds.	Aaron LI	2015-06-07	1	-31/+130
\| \| \| \| \| \| \|	* 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'
*	Major update to 'fit_betasbp_cut.py'.	Aaron LI	2015-06-06	1	-96/+210
\| \| \| \| \| \| \| \| \| \| \|	fit_betasbp_cut.py: * replace getopt with 'argparse' * added 'get_parameter' to process model parameter initial value and bounds * support read parameter bounds from input file * added options '--s0', '--rc', '--beta', '--const' to get paramter initial values and bounds * renamed 'fit_beta_model' to 'fit_model', and added argument 'func' to support other models
*	Renamed & updated fit_beta_model.py -> fit_betasbp_cut.py.	Aaron LI	2015-06-06	2	-133/+237
\| \| \| \| \|	fit_betasbp_cut.py: * added support ignore the data points whose radius value less than the given value.
*	Added tool 'fit_beta_model.py'.	Aaron LI	2015-06-06	1	-0/+133
	fit_beta_model.py * fit provided data with beta model * ignore the inner-most n data points for the fitting