A Gaussian Streaming Code to compute tracers 2 pt correlation function in redshift space
Alejandro Aviles
Other people who contributed to this code:
Sadi Ramirez-Solano
Mario A. Rodriguez-Meza
Mariana Vargas-Magaña
Sebastien Fromenteau
This code computes (very fast) correlation functions for generic tracers in redshift space using the Gaussian Streaming Model and Convolution Lagrangian Perturbation Theory.
Git clone
git clone https://github.com/alejangroaviles/gsm.git
or download it from http://www.github.com/alejandroaviles/gsm
Compile and run:
/gsm$ make
/gsm$ ./gsm
This will compute the correlation function for the input linear power spectrum /gsm/Input/psLCDM.in (in Mpc/h units), with default parameters.
For help:
/MGPT$ ./mgpt -help
In help you can see how to change parameters, in the form [option]=[value], for example:
/MGPT$ ./gsm fnamePS=pkl_z05.dat zout=0.5 om=0.3 b1=0.7 bs=0.1 sFoG=-10 suffix=_run2
computes the 2pcf for the linear input /gsm/Input/fnamePS=pkl_z05.dat at redshift z=0.5 with matter abundance Omega_m = 0.3. Lagrangian bias parameters linear: b1=0.7 and tidal bias bs=0.1 and EFT parameter sFoG=-10 in (Mpc/h)^2 units (this is the similar to Fingers of God EFT parameter). The output files will have a suffix _run2. (z and Omega_m are used only to calculate the logarithmic growth rate f.)
Alternatively you can run the code with a parameters file:
/gsm$ ./gsm parameters.in
The main output is gsm/rsd_multipoles.dat file with four columns
| column | function |
|---|---|
| #1 | r (in Mpc/h) |
| #2 | \xi_0 monopole |
| #3 | \xi_2 quadrupole |
| #4 | \xi_4 hexadecapole |
Other outputs for intermediate calculations are located in the folder gsm/Output/
If you use this code please refer to this repository.
The theory is based mainly on the following papers:
- Lile Wang, Beth Reid, Martin White, https://arxiv.org/abs/1306.1804
- Zvonimir Vlah, Emanuele Castorina, Martin White https://arxiv.org/abs/1609.02908
- Alejandro Aviles https://arxiv.org/abs/1805.05304
- Georgios Valogiannis, Rachel Bean, Alejandro Aviles, https://arxiv.org/abs/1909.05261