This repo houses the tutorial codes for the LISA Analysis Tools Workshop. The tutorials are stored in the tutorials directory. In that same directory, you will find the answer keys. Introductory talk recordings can be found here. PDF versions of the slides are in intro_talks.
If you participate in a LAT workshop or work through the tutorials, please fill out this survey. We would really appreciate it!
The tutorials are numbered as follows:
-
Introductory tutorial for helpful Python concepts related to the successful usage of LISA Analysis Tools packages. This also gives the user a flavor of what the tutorials are like.
-
Introduction to LISA Analysis Tools (
lisatools). This includes setting up LISA sensitivity information, using data analysis classes, calculating inner products, SNRs, and Likelihoods. -
EMRIs and LISA Response: build EMRI waveforms wrapped in a time-domain LISA response function. This combines the use of Fast EMRI Waveforms (
few) andfastlisaresponse. -
MCMC with Eryn: use various fixed-dimensional MCMC techniques with the Eryn (
eryn) sampler package. -
MCMC and MBHBs: use lessons learned in Eryn to build up to a full MCMC with Massive Black Hole Binaries. BBHx (
bbhx) is used to produce LISA TDI waveforms. We also use that package to perform the analysis with the "Heterodyning" technique. -
RJMCMC with Eryn: perform trans-dimensional or Reversible Jump MCMC with the Eryn (
eryn) sampler package. -
Galactic Binaries: analyze Galactic binary waveforms and use them in MCMC and RJMCMC analyses. We will use GBGPU to produce waveforms using the FastGB waveform construction method in the frequency domain.
There is also a challenge problem on designing a mini global fit.
LATW leverages conda environments to install and use necessary packages. If you do not have Anaconda or miniconda installed, you must do this first and load your base conda environment.
First, clone the repo and cd to the LATW directory.:
git clone https://github.com/mikekatz04/LATW.git
cd LATW/
Install all packages necessary for the tutorials by running:
bash install.sh
Running bash install.sh -h will also give you some basic install options.
If you want more flexibility (you will need Python 3.12), you can install each package with pip: numpy, scipy, matplotlib, pandas, eryn, corner, chainconsumer, lisaanalysistools, fastlisaresponse, gbgpu, bbhx, fastemriwaveforms.
Once installation is completed, cd to the tutorial directory and run jupyter lab. Select your tutorial and begin!
In CODE_OF_CONDUCT.md, you will find the workshop code of conduct. It is heavily based on the LISA Consortium code of conduct. We strongly advise anyone who uses these tutorials in any way to follow this code of conduct.
- Michael Katz
- Nikos Karnesis
- Natalia Korsakova
- Argyro Sasli
- Albin Nilsson
- Rodrigo Tenorio
- Durgesh Rai
- Christian Chapman-Bird