merida

MERIDA: MOA9yr Exploration and Research Interface for Dataset Analysis

Installing from github (should be most updated available version):

git clone https://github.com/stelais/merida.git
pip install -r requirements.txt

Installing as a pip package:

pip install merida

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To visualize a light curve from the MOA 9 year dataset:

• In visualization_tool.py:

  • Change the lightcurve_name variable to the name of the light curve you want to visualize.

  • Define where your data is data_path ='data/positive'

  • If you want to use data from the NEXSci archive, you might have to change line 19 on lightcurves_cls in the LightCurvesNExSciURL class.

    Note that mine has:

    self.url_main_path = 'https://exoplanetarchive.ipac.caltech.edu/workspace/TMP_dk5Wxv_13874/MOA/tab1/data/' 
    

    Unfortunately, this is a temporary link. You will have to open https://exoplanetarchive.ipac.caltech.edu/cgi-bin/MOA/nph-firefly?MOA and click to download a lightcurve. I tried a couple of times and got the same temp url address with TMP_dk5Wxv_13874. If you get something different, you have to modify this line of code to one equivalent.

After done that, you just have to run the following command in the terminal:

bokeh serve --show visualization_tool.py

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To locally download a single MOA9yr lightcurve from the NExSci archive:

• Unfortunately, this is based on a temporary link. You will have to open https://exoplanetarchive.ipac.caltech.edu/cgi-bin/MOA/nph-firefly?MOA and click to download a lightcurve to "activate a temp link". I tried a couple of times and got the same temp url address with TMP_dk5Wxv_13874. If you get something different:
  • Change line 19 on lightcurves_cls in the LightCurvesNExSciURL class. Note that mine has:

    self.url_main_path = 'https://exoplanetarchive.ipac.caltech.edu/workspace/TMP_dk5Wxv_13874/MOA/tab1/data/' 
    

• In lightcurve_downloader.py:
  • Change the lightcurve_name variable to the name of the light curve you want to download.
  • You can change the path by adding the variable path_to_save_ ='[the_path_you_want_]/'

After done that, you just have to run the following command in the terminal:

python lightcurve_downloader.py

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To locally download ALL MOA9yr lightcurves from the NExSci archive [can be improved]:

• This will take ~ 55 days... For now, I recommend breaking this function in 15 pieces and run parallel, e.g. piece #2:

  metadata = Metadata()
  n = 2
  df_total = metadata.dataframe
  df_temp = df_total[df_total['ROW_NUM'] > (n-1)*160604]
  df = df_temp[df_temp['ROW_NUM'] <= n*160604]
  

• Unfortunately, this is based on a temporary link. You will have to open https://exoplanetarchive.ipac.caltech.edu/cgi-bin/MOA/nph-firefly?MOA and click to download a lightcurve to "activate a temp link". aI tried a couple of times and got the same temp url address with TMP_dk5Wxv_13874. If you get something different:
  • Change line 19 on lightcurves_cls in the LightCurvesNExSciURL class. Note that mine has:

    self.url_main_path = 'https://exoplanetarchive.ipac.caltech.edu/workspace/TMP_dk5Wxv_13874/MOA/tab1/data/' 
    

• In all_lightcurves_downloader.py:
  • You can change the path by changing the variable path_to_save_ ='[the_path_you_want_]/'
  • You can also change the extension lightcurve_extension_='.[extension]'. Only feather and CSV supported for now.

After done that, you just have to run the following command in the terminal:

python all_lightcurves_downloader.py

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[Currently]

• All lightcurves from MOA 9 year data set from NEXSci archive should work. If it doesn't work, you can let me know.
• Script to download ALL lightcurves from MOA 9 year data set from NEXSci archive.
• Script to read METADATA.

[Future]

• Identify any data for MOA 9 yeardata set from NEXSci archive based on RA and DEC.

[Virtual tool in progress...] https://merida.onrender.com/visualization_tool

• Only the light curve gb10-R-5-6-130249 as an example (it load this data from this Github repository)

• Takes about one minute to load it visualization_tool.py