Example Jupyter notebooks using the
castor_etc
Python package.
- Getting started with photometry
- Contains simple examples of how to do photometry with point sources, extended sources, and galaxies.
- Looking at CASTOR's red leak performance
- A brief introduction to red leak and the concept of a red leak threshold, followed by calculating the red leak fraction in CASTOR's passbands for blackbodies of various effective temperatures.
- Custom surface brightness profiles from a FITS file
- Shows how to bypass the package's internal source generation and use your own FITS
images with
castor_etc
. This feature allows the user to use the majority of the ETC's functionality (e.g., background estimation, aperture generation, etc.) with their own data.
- Shows how to bypass the package's internal source generation and use your own FITS
images with
- Batch processing to generate a S/N table
- Shows how to process many sources automatically. We find the integration time required to achieve some signal-to-noise (S/N) ratio in each of the telescope's passbands given sources at various magnitudes.
- Customizing a Telescope object to include additional passbands/filters
- Demonstrates how to adapt a FORECASTOR Telescope object to include additional transmission curves. As a relevant example, we include new passbands corresponding to the UV and u bands with the inclusion of either a longpass or bandpass filter, and compute updated S/N tables accordingly.
- Getting started with UVMOS spectroscopy
- Illustrates the use of the UVMOS ETC for making S/N calculations for a given input spectrum.