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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to Introduction</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>Recent changes to Introduction</description><atom:link href="https://sourceforge.net/p/aoflagger/wiki/Introduction/feed" rel="self"/><language>en</language><lastBuildDate>Thu, 30 Aug 2018 12:20:22 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/aoflagger/wiki/Introduction/feed" rel="self" type="application/rss+xml"/><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v8
+++ v9
@@ -1,4 +1,6 @@
 The AOFlagger is a flagger framework that implements several methods to deal with radio-frequency interference or RFI. Some of the implemented algorithms are the SumThreshold method, background fitting techniques (smoothing, sliding window, median filters, high-pass filters) and morphological operators. These are combined into one default strategy that performs very well on almost any observation.
+
+The software consists of the flagger library (libaoflagger) that can be integrated into observatory pipelines by using the [Application Programming Interface](http://aoflagger.sourceforge.net/doc/api) (API), as well as several programs to execute the flagger on measurement sets, tweak it and visualize results.

 The frequencies covered by low-frequency telescopes like LOFAR and the MWA are considerably affected by radio-frequency interference (RFI), both in the low and the high band (see Figure below). Efficient RFI detection is essential to obtain high quality images. 

&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Thu, 30 Aug 2018 12:20:22 -0000</pubDate><guid>https://sourceforge.net33a462587a191e6a53c08595a9c333052c5fa4c1</guid></item><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v7
+++ v8
@@ -1,4 +1,6 @@
-The frequencies covered by low-frequency telescopes like LOFAR are considerably affected by radio-frequency interference (RFI), both in the low and the high band (see Figure below). Efficient RFI detection is essential to obtain high quality images. 
+The AOFlagger is a flagger framework that implements several methods to deal with radio-frequency interference or RFI. Some of the implemented algorithms are the SumThreshold method, background fitting techniques (smoothing, sliding window, median filters, high-pass filters) and morphological operators. These are combined into one default strategy that performs very well on almost any observation.
+
+The frequencies covered by low-frequency telescopes like LOFAR and the MWA are considerably affected by radio-frequency interference (RFI), both in the low and the high band (see Figure below). Efficient RFI detection is essential to obtain high quality images.

 ### History
 The AOFlagger was originally written as part of my PhD thesis for the LOFAR Epoch of Reionization key science project, which needed a flagger with better accuracy compared to existing techniques.  Since then it was made more generic and tweaked to work on data from other observatories and at other frequency ranges.
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Wed, 31 Aug 2016 11:18:36 -0000</pubDate><guid>https://sourceforge.net7a3ddd5f1d6bd7dcf30eeb6a73b6dde01e24e8a8</guid></item><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v6
+++ v7
@@ -1,10 +1,10 @@
-The frequencies covered by low-frequency telescopes like LOFAR are considerably affected by RFI, both in the low and the high band (see Figure below). Efficient RFI detection is essential to obtain high quality images. 
+The frequencies covered by low-frequency telescopes like LOFAR are considerably affected by radio-frequency interference (RFI), both in the low and the high band (see Figure below). Efficient RFI detection is essential to obtain high quality images.

 ### History
-The AOFlagger was originally written for the LOFAR Epoch of Reionization key science project, which needed a flagger with better accuracy compared to the MADFlagger technique implemented in DPPP, but is since then optimized to be accurate for any observation.
+The AOFlagger was originally written as part of my PhD thesis for the LOFAR Epoch of Reionization key science project, which needed a flagger with better accuracy compared to existing techniques.  Since then it was made more generic and tweaked to work on data from other observatories and at other frequency ranges.

 ### Aim and features
-The AOFlagger is a tool that can find and remove radio-frequency interference (RFI) in radio astronomical observations. The code has been highly optimized for speed and accuracy. It is used by default for the LOFAR radio telescope. The software can run in a fully automated way, but a graphical interface ([rfigui](rfigui)) is provided to analyse results and tweak the strategy. The preferred input file format is the Casa Measurement Set (MS) format, but single dish SDFits files are also supported.
+The AOFlagger is a tool that can find and remove RFI in radio astronomical observations. The code has been highly optimized for speed and accuracy. It is used by default for the LOFAR radio telescope. The software can run in a fully automated way, but a graphical interface ([rfigui](rfigui)) is provided to analyse results and tweak the strategy. The preferred input file format is the Casa Measurement Set (MS) format, but single dish SDFits files are also supported.

 I believe that the AOFlagger is the best available flagger, both in terms of accuracy and speed. It has been succesfully used on several interferometric telescopes, including LOFAR, WSRT, VLA, GMRT, ATCA and MWA, and the single-dish telescopes Parkes and Arecibo 305m.

&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Thu, 02 Jun 2016 08:35:30 -0000</pubDate><guid>https://sourceforge.net9bf16997270a1639e988c8f63e68bbab760df3c4</guid></item><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v5
+++ v6
@@ -1,6 +1,14 @@
-The frequencies covered by low-frequency telescopes like LOFAR are considerably affected by RFI, both in the low and the high band. Efficient RFI detection is essential to obtain high quality images. 
+The frequencies covered by low-frequency telescopes like LOFAR are considerably affected by RFI, both in the low and the high band (see Figure below). Efficient RFI detection is essential to obtain high quality images.

-The AOFlagger is an independent flagger. It was originally written for the LOFAR Epoch of Reionization key science project, which needed a flagger with better accuracy compared to the MADFlagger technique implemented in DPPP, but is since then optimized to be accurate for any observation.
+### History
+The AOFlagger was originally written for the LOFAR Epoch of Reionization key science project, which needed a flagger with better accuracy compared to the MADFlagger technique implemented in DPPP, but is since then optimized to be accurate for any observation.
+
+### Aim and features
+The AOFlagger is a tool that can find and remove radio-frequency interference (RFI) in radio astronomical observations. The code has been highly optimized for speed and accuracy. It is used by default for the LOFAR radio telescope. The software can run in a fully automated way, but a graphical interface ([rfigui](rfigui)) is provided to analyse results and tweak the strategy. The preferred input file format is the Casa Measurement Set (MS) format, but single dish SDFits files are also supported.
+
+I believe that the AOFlagger is the best available flagger, both in terms of accuracy and speed. It has been succesfully used on several interferometric telescopes, including LOFAR, WSRT, VLA, GMRT, ATCA and MWA, and the single-dish telescopes Parkes and Arecibo 305m.
+
+Besides the flagger, the software consists of tools to efficiently visualize data in different ways, such as plotting time-frequency diagrams and power spectra. It provides the programs [aoflagger](aoflagger), [rfigui](rfigui), [aoqplot](aoqplot), [aoquality](aoquality) and [some other tools](otherTools).

 &lt;img alt="LOFAR RFI spectrum" src="https://sourceforge.net/p/aoflagger/wiki/Introduction/attachment/lofar-rfi-spectrum-all.png" style="width: 100%;"/&gt;
 Figure: Overview of the RFI spectrum in LOFAR observations
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Thu, 02 Jun 2016 08:32:33 -0000</pubDate><guid>https://sourceforge.net290f7de05007ecb0c4a913c98a69c3d3ae97a9ac</guid></item><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v4
+++ v5
@@ -2,4 +2,5 @@

 The AOFlagger is an independent flagger. It was originally written for the LOFAR Epoch of Reionization key science project, which needed a flagger with better accuracy compared to the MADFlagger technique implemented in DPPP, but is since then optimized to be accurate for any observation.

-![LOFAR RFI spectrum](https://sourceforge.net/p/aoflagger/wiki/Introduction/attachment/lofar-rfi-spectrum-all.png)
+&lt;img alt="LOFAR RFI spectrum" src="https://sourceforge.net/p/aoflagger/wiki/Introduction/attachment/lofar-rfi-spectrum-all.png" style="width: 100%;"/&gt;
+Figure: Overview of the RFI spectrum in LOFAR observations
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Thu, 02 Jun 2016 08:29:04 -0000</pubDate><guid>https://sourceforge.neta799ce1bdfe9444a33c88b4d59300bbf324eb8f5</guid></item><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v3
+++ v4
@@ -1,3 +1,5 @@
 The frequencies covered by low-frequency telescopes like LOFAR are considerably affected by RFI, both in the low and the high band. Efficient RFI detection is essential to obtain high quality images.

 The AOFlagger is an independent flagger. It was originally written for the LOFAR Epoch of Reionization key science project, which needed a flagger with better accuracy compared to the MADFlagger technique implemented in DPPP, but is since then optimized to be accurate for any observation.
+
+![LOFAR RFI spectrum](https://sourceforge.net/p/aoflagger/wiki/Introduction/attachment/lofar-rfi-spectrum-all.png)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Thu, 02 Jun 2016 08:27:17 -0000</pubDate><guid>https://sourceforge.net7e633a35cb6a1de874add773c93dc0ac3591d5ec</guid></item><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v2
+++ v3
@@ -1,3 +1,3 @@
-The frequencies covered by LOFAR are considerably affected by RFI, both in the low and the high band. An efficient cleaning of the data is essential to obtain high quality images. 
+The frequencies covered by low-frequency telescopes like LOFAR are considerably affected by RFI, both in the low and the high band. Efficient RFI detection is essential to obtain high quality images.

-The AOFlagger is an independent flagger. It was originally written for the Epoch of Reionization key science project, which needed a flagger with better accuracy compared to the MADFlagger technique implemented in DPPP, but is since then optimized to be accurate for any observation.
+The AOFlagger is an independent flagger. It was originally written for the LOFAR Epoch of Reionization key science project, which needed a flagger with better accuracy compared to the MADFlagger technique implemented in DPPP, but is since then optimized to be accurate for any observation.
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Thu, 02 Jun 2016 08:21:53 -0000</pubDate><guid>https://sourceforge.netc4ca1bada496bfa5c977fb9a0ca9911ba9b86e95</guid></item><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v1
+++ v2
@@ -1,7 +1,3 @@
 The frequencies covered by LOFAR are considerably affected by RFI, both in the low and the high band. An efficient cleaning of the data is essential to obtain high quality images.

-The AOFlagger is an independent flagger. It was 
-originally written for the Epoch of Reionization key science project, 
-which needed a flagger with better accuracy compared to the MADFlagger 
-technique implemented in DPPP, but is since then optimized to be 
-accurate for any observation.
+The AOFlagger is an independent flagger. It was originally written for the Epoch of Reionization key science project, which needed a flagger with better accuracy compared to the MADFlagger technique implemented in DPPP, but is since then optimized to be accurate for any observation.
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Thu, 02 Jun 2016 08:20:53 -0000</pubDate><guid>https://sourceforge.net3d058869e4e5bea549f1226f8100fd8c5b0663fc</guid></item><item><title>Introduction modified by André Offringa</title><link>https://sourceforge.net/p/aoflagger/wiki/Introduction/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;The frequencies covered by LOFAR are considerably affected by RFI, both in the low and the high band. An efficient cleaning of the data is essential to obtain high quality images. &lt;/p&gt;
&lt;p&gt;The AOFlagger is an independent flagger. It was &lt;br/&gt;
originally written for the Epoch of Reionization key science project, &lt;br/&gt;
which needed a flagger with better accuracy compared to the MADFlagger &lt;br/&gt;
technique implemented in DPPP, but is since then optimized to be &lt;br/&gt;
accurate for any observation.&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">André Offringa</dc:creator><pubDate>Thu, 02 Jun 2016 08:20:41 -0000</pubDate><guid>https://sourceforge.nete7ef6b651462b4c8d7c5c69b6b5a1599b57079fc</guid></item></channel></rss>