Tools1D - Revision history

Sztucki at 09:12, 5 May 2020

2020-05-05T09:12:26Z

Sztucki at 09:09, 5 May 2020

2020-05-05T09:09:32Z

Sztucki at 09:03, 5 May 2020

2020-05-05T09:03:17Z

Sztucki at 08:58, 5 May 2020

2020-05-05T08:58:08Z

Sztucki at 08:50, 5 May 2020

2020-05-05T08:50:58Z

Sztucki at 08:45, 5 May 2020

2020-05-05T08:45:47Z

Sztucki at 08:31, 5 May 2020

2020-05-05T08:31:33Z

Sztucki: Created page with "600px 600px"

2020-05-04T16:02:23Z

Created page with "600px 600px"

New page

[[File:Tools1D.png|600px]]
[[File:Tools1Dplot.png|600px]]

@@ Line 37: / Line 37: @@
 This function is particularly useful for data which are plotted on a logarithmic q scale:
 Usually, data sets have a q scale with equidistant points in a linear scale. Plotting them in a logarithmic way results in a very high density of points at high q. Typically, the high q range is also the range where the statistical error of the measured intensity is highest.
-* The dynamic rebin function allows to arrange homogeneously the measured datapoints on a logarithmic q scale.
+* '''The dynamic rebin function allows to arrange homogeneously the measured datapoints on a logarithmic q scale.'''
 * The value of min. delta[log(q)] (typically 0.005) defines the minimum distance between datapoints on a logarithmic q scale. In case there are datapoints closer, they will get averaged. In particular, measured datapoints at high q get averaged in this way.
 * The input min. steps defines the number of datapoints being averaged at low q. 1 means no averaging until the min. delta[log(q)] condition is reached. By increasing this value to 3 or more (must be odd) an according number of surrounding datapoints are averaged into each point, which results in a smoothing over the full q range.
 * Do not forget to compare the result of the dynamic re-binning.
-* This function is also very interesting for data fitting using functions with numerical integrations as it allows to reduce the number of datapoints per file and therefore the calculation time.
+* '''This function is also very interesting for data fitting''' using functions with numerical integrations as it allows to reduce the number of datapoints per file and therefore the calculation time.
 ==== MERGE ====

← Older revision		Revision as of 09:09, 5 May 2020
Line 35:		Line 35:
	==== DYNAMIC REBIN ====		==== DYNAMIC REBIN ====
	<hr>		<hr>
		+	This function is particularly useful for data which are plotted on a logarithmic q scale:
		+	Usually, data sets have a q scale with equidistant points in a linear scale. Plotting them in a logarithmic way results in a very high density of points at high q. Typically, the high q range is also the range where the statistical error of the measured intensity is highest.
		+	* The dynamic rebin function allows to arrange homogeneously the measured datapoints on a logarithmic q scale.
		+	* The value of min. delta[log(q)] (typically 0.005) defines the minimum distance between datapoints on a logarithmic q scale. In case there are datapoints closer, they will get averaged. In particular, measured datapoints at high q get averaged in this way.
		+	* The input min. steps defines the number of datapoints being averaged at low q. 1 means no averaging until the min. delta[log(q)] condition is reached. By increasing this value to 3 or more (must be odd) an according number of surrounding datapoints are averaged into each point, which results in a smoothing over the full q range.
		+	* Do not forget to compare the result of the dynamic re-binning.
		+	* This function is also very interesting for data fitting using functions with numerical integrations as it allows to reduce the number of datapoints per file and therefore the calculation time.
		+
		+	==== MERGE ====
		+	<hr>
		+	This function allows to merge data sets measured either with different detectors or at different sample to detector distances.
		+	* The merging is done in a plot window. Two clicks define the range of an overlapping range. Within this range an average of the measured intensity of both files is calculated. Outside of it only the intensity of the one or the other data file is used.
		+	* It is also possible to allow scaling of the file situated either at the high or the low q limit [scaling (low/high)] (depending if the absolute intensity level of the low or high q data are more reliably).
		+	* The result of the merging is previewed and can be optimized for each pair of curves.

@@ Line 15: / Line 15: @@
 In the following a list of functions with more detailed description:
-==== CONVERT S1 ====
+==== CONVERT ====
 <hr>
 This allows to re-write all data sets selected in Selection S1.
@@ Line 26: / Line 26: @@
 * Summing and averaging can be done in groups of acertain number of images. The length of the selection must be a multiple of this number.
 * All four functions can be combined with the option 'Link SAXS/WAXS'. In this case the operation is executed for two groups of files identified by _saxs_ and _waxs_ in the file name.
-[[File:Tools1Dplot.png|600px]]

@@ Line 14: / Line 14: @@
 === Specific features: ===
 In the following a list of functions with more detailed description:
 == CONVERT S1 ==
 This allows to re-write all data sets selected in Selection S1.
 * You can optionally restrict the q range of the created files at low and high q.
@@ Line 20: / Line 22: @@
 * The output data format can be chosen in the right top corner of the GUI. '''This is intended for converting data from ASCII to HDF5 and inverse.'''
-== SUM, AVERAGE, MINUS (each), DIVIDE (each) ==
+==== SUM, AVERAGE, MINUS (each), DIVIDE (each) ====
 * Summing and averaging can be done in groups of acertain number of images. The length of the selection must be a multiple of this number.
 * All four functions can be combined with the option 'Link SAXS/WAXS'. In this case the operation is executed for two groups of files identified by _saxs_ and _waxs_ in the file name.
 [[File:Tools1Dplot.png|600px]]

@@ Line 20: / Line 20: @@
 * The output data format can be chosen in the right top corner of the GUI. '''This is intended for converting data from ASCII to HDF5 and inverse.'''
+== SUM, AVERAGE, MINUS (each), DIVIDE (each) ==
 [[File:Tools1Dplot.png|600px]]

@@ Line 1: / Line 1: @@
 [[File:Tools1D.png|600px]]
-Graphical user interface for typical operations on one-dimensional files in ASCII (general) or HDF5 format (ID02) like summing, averaging, subtraction, merging, ... Routines for data conversion are available.
+Graphical user interface for typical operations on one-dimensional files in ASCII (general) or HDF5 format (ID02: ending on _ave.h5 or _xpcs.h5) like summing, averaging, subtraction, merging, ... Routines for data conversion are available.
 === Features: ===
 * Data sets with q vector, data and optionally error are supported. An appropriate error proagation is implemented for all available operations.
 * History of performed operations is saved either in the first header line (ASCII) or and appropriate header key (HDF5).
 [[File:Tools1Dplot.png|600px]]

← Older revision		Revision as of 08:31, 5 May 2020
Line 1:		Line 1:
	[[File:Tools1D.png\|600px]]		[[File:Tools1D.png\|600px]]
		+
		+	Graphical user interface for typical operations on one-dimensional files in ASCII (general) or HDF5 format (ID02) like summing, averaging, subtraction, merging, ... Routines for data conversion are available.
		+
		+	=== Features: ===
		+
		+	* Data sets with q vector, data and optionally error are supported. An appropriate error proagation is implemented for all available operations.
		+	* History of performed operations is saved either in the first header line (ASCII) or and appropriate header key (HDF5).
		+
		+
	[[File:Tools1Dplot.png\|600px]]		[[File:Tools1Dplot.png\|600px]]