Gal_plane_yso_counts

This repository includes the notebook to estimate the number of young stars with age t<10Myrs and mass M>0.3 Msun (211116_yso_3D_90b.ipynb). Four Opsim surveys are considered. The total counts are estimated assuming to observe only with gri filters. We strongly recommend to adopt the Opsim /sims_maf/fbs_2.0/vary_gp/vary_gp_gpfrac1.00_v2.0_10yrs.db to homogeneously map the Galactic Plane. The number of stars detected is maximum even in regions with E(B-V)>0.2. This is an important metric and we want to use the results to change our view of survey strategy

How to use

1. Getting the notebook

Open a terminal, navigate to a folder of choice (let's call it root) and type

git clone https://github.com/Thalos12/Gal_plane_yso_counts.git

This will put all the files in this repo in the folder root/Gal_plane_yso_counts.

2. Getting the extinction map and the code for querying it.

• Download the map file from this link http://www-personal.umd.umich.edu/~wiclarks/rubin/merged_ebv3d_nside64_defaults.fits.gz provided by Will Clarkson (in datalab, you can use wget to get the file). Extract the map (you can use gunzip) and be sure to put it in the same folder as the notebook, that is in root/Gal_plane_yso_counts.

• Get the code to read the map with git: in the terminal, navigate to root and type

git clone https://github.com/willclarkson/rubinCadenceScratchWIC.git

** WARNING ** Until the relevant changes are implemented into Will Clarkson's repository, the version with the necessary code comes from Alessandro Mazzi's fork, so pleare run also

git clone https://github.com/Thalos12/rubinCadenceScratchWIC.git rubinCadenceScratchWIC_fork

then get into the newly created folder and type

git checkout distmag_pixels_subset_2

to get the branch that has the working code. The notebook will use the code from there. When the code is ready, I will update the README and the notebook, and the rubinCadenceScratchWIC_fork will have to be deleted.

3. Using the notebook.

Open the notebook and run every cell needed.

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Many thanks to Will Clarkson (@willclarkson) for helping implementing the required functions. Code written by Peter Yoachim, Loredana Prisinzano and Alessandro Mazzi