TolTECA Tutorials
Contents
TolTECA Tutorials¶
TolTECA is the software stack developed to facilitate the data analysis tasks of the TolTEC camera, which is mounted on the Large Millimeter Telescope (LMT) and provides simultaneous, polarization-sensitive imaging at wavelengths of 1.1, 1.4 and 2.0 mm through its 7718 Lumped element Kinetic Inductance Detectors (KIDs). For more detailed description, please check out our recent SPIE papers describing TolTEC and TolTECA.
This site includes the learning materials for those who would like to work on TolTEC data on their own.
Get Started¶
The two key components of TolTECA that are related to TolTEC are the Python
package tolteca, and the data reduction engine citlali written in C++.
Tolteca implements the general data and pipeline management framework that
serves at the highest levels, while citlali works at the low-level to carry
out the actual KIDs readout signal interpretation, time-ordered data (TOD)
processing, and map-making. All the software source codes can be found in the
toltec-astro Github page.
The tutorials are written in format of Jupyter notebooks. These notebooks are
pre-rendered and can be viewed by clicking the titles listed in the next
section. For those who would like to download and run directly in Jupyter, one
may clone the tolteca_tutorials repository and install the requirements using
pip:
$ git clone https://github.com/toltec-astro/tolteca_tutorials.git
$ cd tolteca_tutorials
$ pip install -r pip-requirements.txt
For more detailed instructions of installing tolteca and to learn about the
C++ data reduction engine citlali, see their documentations
tolteca and
citlali.
List of Tutorials¶
License¶
3-Clause BSD.
Acknowledgement¶
The TolTEC project is funded by the National Science Foundation, grant #1636621.