<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Calibration on L'Arciere Celeste</title><link>https://arciereceleste.it/en/tags/calibration/</link><description>Recent content in Calibration on L'Arciere Celeste</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 12 Aug 2022 15:01:50 +0000</lastBuildDate><atom:link href="https://arciereceleste.it/en/tags/calibration/index.xml" rel="self" type="application/rss+xml"/><item><title>Correcting bias drift through overscan calibration</title><link>https://arciereceleste.it/en/articoli/la-correzione-del-bias-drift-mediante-calibrazione-con-overscan/</link><pubDate>Fri, 12 Aug 2022 15:01:50 +0000</pubDate><guid>https://arciereceleste.it/en/articoli/la-correzione-del-bias-drift-mediante-calibrazione-con-overscan/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;Page translated by Claude — switch to Italian to read the original article.&lt;/em&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Image calibration is a crucial step during the pre-processing of astronomical images; this short article takes a closer look at the calibration of cameras that suffer from the phenomenon known as bias drift, thanks to calibration using the &lt;em&gt;&lt;strong&gt;overscan&lt;/strong&gt;&lt;/em&gt; area.&lt;/p&gt;</description></item><item><title>Beloved Flat Fields</title><link>https://arciereceleste.it/en/articoli/amatissimi-flat-field/</link><pubDate>Fri, 12 Aug 2022 07:13:22 +0000</pubDate><guid>https://arciereceleste.it/en/articoli/amatissimi-flat-field/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;Page translated by Claude — switch to Italian to read the original article.&lt;/em&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Calibrating astronomical images is one of the key steps to achieving a quality result, and one of the most important steps in this phase is the application of the &lt;em&gt;flat field&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;During my PixInsight courses all over Italy, one question, unrelated to the use of the software but of fundamental importance for image calibration, is: how many ADU should I make my FLATs?&lt;/p&gt;</description></item><item><title>Verifying the linearity of image sensors: going beyond linear regression.</title><link>https://arciereceleste.it/en/articoli/ccd-linearita/</link><pubDate>Tue, 13 Oct 2020 21:14:11 +0000</pubDate><guid>https://arciereceleste.it/en/articoli/ccd-linearita/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;Page translated by Claude — switch to Italian to read the original article.&lt;/em&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;One of the most debated and least understood issues among non-specialists is the so-called linearity of electronic image sensors.&lt;/p&gt;
&lt;p&gt;CCD and CMOS imaging sensors should possess one fundamental characteristic if they are to be used for scientific purposes or even just for advanced astronomical imaging: the sensor&amp;rsquo;s response to light must be &lt;em&gt;&lt;strong&gt;linear&lt;/strong&gt;&lt;/em&gt;.&lt;/p&gt;</description></item><item><title>When BatchPreprocessing fails.</title><link>https://arciereceleste.it/en/tutorial/quando-batchpreprocessing-fallisce/</link><pubDate>Sat, 17 Feb 2018 13:32:59 +0000</pubDate><guid>https://arciereceleste.it/en/tutorial/quando-batchpreprocessing-fallisce/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;Page translated by Claude — switch to Italian to read the original article.&lt;/em&gt;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;This tutorial, created by Edoardo Luca Radice and Vittorio Liberti of the Astrofili Veneti (&lt;a href="http://www.astrofiliveneti.it/"&gt;&lt;a href="http://www.astrofiliveneti.it/"&gt;http://www.astrofiliveneti.it/&lt;/a&gt;&lt;/a&gt;), aims to analyze and solve one of the possible problems that could be encountered when using PixInsight&amp;rsquo;s BatchPreprocessing with the Default values.&lt;br/&gt;Using BatchPreprocessing with the default values, the final result was the following (as an example, only the image obtained with the SII filter is used).&lt;/p&gt;</description></item></channel></rss>