https://github.com/phuijse/lsst_simulations
Repository with the tools and scripts for "Robust period estimation using mutual information for multi-band light curves in the synoptic survey era", ApJ, 2017
https://github.com/phuijse/lsst_simulations
astronomy light-curves lsst
Last synced: 4 months ago
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Repository with the tools and scripts for "Robust period estimation using mutual information for multi-band light curves in the synoptic survey era", ApJ, 2017
- Host: GitHub
- URL: https://github.com/phuijse/lsst_simulations
- Owner: phuijse
- Created: 2017-06-07T21:09:36.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2023-07-17T17:27:28.000Z (over 2 years ago)
- Last Synced: 2025-03-26T09:51:13.554Z (7 months ago)
- Topics: astronomy, light-curves, lsst
- Language: Jupyter Notebook
- Homepage:
- Size: 72.1 MB
- Stars: 4
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.rst
Awesome Lists containing this project
README
LSST simulations
================
This repository holds codes associated to:
Pablo Huijse et al., "Robust period estimation using mutual information for multi-band light curves in the synoptic survey era", to be published in the ApJ Supplement Series "Special Issue on Stellar Astronomy Big Data", 2017, https://arxiv.org/abs/1709.03541
The pickled data in the template folder contain light curves generated using the OpSim and CatSim tools from the LSST simulations framework. See:
https://github.com/phuijse/LSST_simulations/blob/master/Example.ipynb
for a example on how to draw an ab-type RR Lyrae light curve using these templates.
The get_periods scripts were used in the paper mentioned above to compare period estimation accuracy between different methods. To run these you will need to install the https://github.com/phuijse/P4J/ library
Generating you own LSST-like templates using OpSim and CatSim
-------------------------------------------------------------
The template files were built using the create_obj script. If you want to run the script you will need to install the LSST stack. To install the LSST stack first setup the core packages by following steps 1 and 2 (Installing from Source) at
https://confluence.lsstcorp.org/display/SIM/Catalogs+and+MAF
After that you will need to download the **Reference simulated survey** from
https://www.lsst.org/scientists/simulations/opsim/opsim-survey-data
Download and extract the minion_2016 SQLite DB and point the opsimdb variable in create_obj to it.
To run the script::
cd /my_lsst_stack_dir
source loadLSST.bash
setup sims_catUtils -t sims
create_obj RRL
For more details please see
http://confluence.lsstcorp.org/display/SIM/Catalog+Simulations+Documentation.