PixInsight 1

PixInsight – 1, by Jon Talbot

Abstract:

This 1st Day of workshop covers skills to be productive using PixInsight software to gather and process images. Topics include:

  • Data calibration/alignment/stacking using the Weighted Batch Preprocessing script
    • What to use and when
    • Obtaining the best subframe for image registration
    • Data Analysis using Blink
  • Image registration
    • Tips and tricks
  • Local Normalization
    • When to use
  • Image Integration
    • How to use it
    • What are the common settings
  • Dynamic Background Extraction (DBE)
    • Best settings
    • Symmetries
  • Mure DeNoise
    • To use it or not
    • How it works
  • Deconvolution
    • Why use it
    • What you need
    • Creating masks
  • Creating the RGB image
  • Photometric Color Calibration

 

Prerequisites:

  1. Student has some familiarity with using  PixInsight  (try to use it some before class!)
  2. Student has PixInsight installed on a laptop in order to work with the supplied data.
    1. Purchase your own copy at , or
    2. Request a 45-day trial license anytime between April 11 – May 8, 2020 (link to be provided here)
      1. It takes several days for the trial license permission to be E-mailed to you from “Pixinsight” so you won’t be able to do this from TSP !
      2. Software runs on FreeBSD, Linux, Mac OS X, and Windows
      3. Trial software requires connection to the Internet each time you run the software.
  3. The student will also be required to install several PixInsight scripts which we will use during the class. 

Jon will contact the students prior to TSP week and provide them with:

  • a link to download the class data files
  • links to download and install the required PixInsight scripts

If you are unable to get these files prior to the class, Jon will be available prior to the class so you can copy them from a USB drive.

 

Daytime session (3 hours morning and about 3 hours afternoon)

Tuesday May 19, 2020  9 AM – 4 PM  (12-1 PM lunch)

 

Find out more about the 2nd course, PixInsight 2