GQP Mock Challenge

Python package for the GQP mock challenge. The package makes it easy to read in forward modeled DESI-like spectra and photometry and run SED fitting. The package is being actively developed so there will be constant updates! Also, we want this package to be developed as openly as possible so please feel free to contribute via pull requests. [toc]

Updates

04/30/2020: LGal data updated. Now with version flag. We're starting with v1.0! As long as you git pull and install updates, there shouldn't be any issues.

Fitting Spectra or Photometry

The main goals of the mock challenge is to simultaneously fit DESI-like spectra and photometry of the mock challenge galaxies. For examples running SED fits for photometry or spectra + photometry, check out run/eg.sh.

For examples of submitting SED fit jobs to NERSC see slurm scripts in run/cori/. We are coordinating job submissions using this spreadsheet.

Installation

on NERSC

setting up anaconda

module load python
conda init

This will append several lines into your ~/.bashrc file. After you've done this once you do not need to run this again and you can directly activate the conda environment. For details see the nersc documentation

install the gqp_mc package

First, add the following to your ~/.bashrc or ~/.bashrc.ext :

export GQPMC_DIR="\SOME_LOCAL_DIRECTORY\" 
export HDF5_USE_FILE_LOCKING=FALSE

This defines the $GQPMC_DIR environment, which is used in the package and address an HDF5 i/o issue on NERSC. Then run source ~/.bashrc or source ~/.bashrc.exton the command line so that the changes take effect.

Now we're going to symlink to the LGal directory and the directory with the mini-Mock Challenge (mini_mocha) in the desi project directory so that we have access to the data.

# go to $GQPMC_DIR
cd $GQPMC_DIR
ln -s /global/cfs/cdirs/desi/mocks/LGal_spectra/ Lgal
ln -s /global/cfs/cdirs/desi/mocks/TNG_spectra/ tng 
ln -s /global/cfs/cdirs/desi/mocks/gqp_mini_mocha/ mini_mocha 

Your symlinks should point to the proper directory. If the symlinks are bad, fix the symlink, referring to this: updating_symlink

You need to install FSPS if you want to use the iFSPS fitter: https://github.com/cconroy20/fsps. See below for some notes on installing FSPS on NERSC. (You probably want to install FSPS)

With the data all set up, we can now install the package:

# create conda environment 
conda create -n gqp python=3.7 jupyter ipython pip

# install python-fsps from github because gqp_mc repo uses
# the development version 0.3.0 (not the stable PIP version) 
git clone https://github.com/dfm/python-fsps.git
cd python-fsps
python setup.py install

# clone the repo 
git clone https://github.com/changhoonhahn/gqp_mc.git 

# go to project directory
cd gqp_mc 

# install package
pip install -e . 

# test the package
pytest 

# create ofiles directory
cd run/cori
mkdir ofiles

You're all set. Now you can activate the conda environment by

conda activate gqp

Above is one way to setup the package on nersc. See also Rita's notebook, which details how to install the package.

If you want to use the CIGALE photometry fitter, you need also to install CIGALE https://cigale.lam.fr. See below some notes on installing CIGALE on NERSC.

common/known issues

• Multiprocessing installation might raise following error:

  ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

  You can neglect this error, as multiprocessing package has been integrated to python default packages for python 3.X.

• If you encounter following error while installing the packages:

  ERROR: Could not install packages due to an EnvironmentError:
  [Errno 30] Read-only file system: 
  '/global/common/cori_cle7/software/python/3.7-anaconda-2019.10/lib/python3.7/site-packages/...'

  follow this link.

Installing FSPS

Follow instructions in https://github.com/cconroy20/fsps/ and https://github.com/cconroy20/fsps/blob/master/doc/INSTALL except when compiling the code:

• modify the src/Makefile and comment out line 10

  F90=gfortran

  and uncomment line 13

  F90=ifort

• If you get the following error message:

  autosps.f90(21): error #6353: A RETURN statement is invalid in the main program. RETURN

  modify RETURN in line 21 of autosps.f90 to STOP and rerun make

  Installing CIGALE

Before compiling add DECam* filters to the CIGALE filter directory

cigale/database_builder/filters

Compile CIGALE (tested on v2018)

python setup.py build python setup.py develop

Add CIGALE to your python path

export PYTHONPATH='${PYTHONPATH}:/your_directory/cigalev2018/'