Imaging
The Imaging threads cover a wide range of topics that include source detection, creating exposure maps and normalized images, and calculating image statistics. How to create color images for publication is addressed, as well as merging data from multiple observations.
Analysis Guides:
General:
- Analysing the ACIS Background with the "Blank-Sky" Files
- The HRC-I Background Event Files
- The HRC-I Background Spectra Files
- Match the Binning of an Image
- An Estimated Background Image
- True Color Images
- True Color Images in ds9
- An Image of Diffuse Emission
- Creating mean energy maps (aka pseudo temperature maps)
- Creating Energy Hue Maps
- Using Data Cubes
- Using Contrib Color Look-Up Tables
Coordinates, Astrometry, & Spatial Filtering:
Source Characteristics:
- Estimate Source Counts in an Event File
- Obtain and Fit a Radial Profile
- Calculate source count rates and fluxes
- Calculate source count rates and fluxes for combined datasets
- Using srcflux plugins
- Compute Net Counts, Rate, or Flux for Point Sources
- Computing the Intensity Upper Limit and Upper Value for Flux Uncertainty for an Unresolved Source
- Calculate a Flux for a Position
- Measuring Source Extent
- Search for Variability in a Source
- Determining Exposed Region Area
Exposure Maps:
- Using merge_obs to combine observations and create exposure-corrected images
- Calculating Spectral Weights for mkinstmap
- Single Chip ACIS Exposure Map and Exposure-corrected Image
- Multiple Chip ACIS Exposure Map and Exposure-corrected Image
- HRC-I Exposure Map and Exposure-corrected Image
- HRC-S Exposure Map and Exposure-Corrected Image
- Match the Binning of an Image
Modeling & Fitting Imaging Data with Sherpa
(from the Sherpa analysis threads):
![[Updated]](../imgs/updated.gif)
(05 Dec 2024)