Tutorial Step 1: Download LIGO Data
Browse available data sets
Timeline shows times of available dataData for the LIGO detectors is only publicly available during times when the detectors were operating under normal conditions, labeled with the DATA flag (i.e. DATA is available at this time). The LOSC Timelines provide a convienient, graphical tool for discovering times when LIGO was collecting data.
Let's start by looking at the DATA Timeline for H1 during LIGO's fifth science run (S5):
Clicking this link, you should see plots like this: Here are some notes to help understand the LOSC Timelines:
Download data files from the data archiveNow that we've got some idea when data is available, let's get the actual data files. We'll try to find data for the first month of S5, from November 1 to December 1 of 2005. We can query the S5 archive for the data we want:
Each line of the table corresponds to a data file (or tile) covering 4096 seconds of calendar time. A given instrument may be up or down for any fraction of that time, and the far right column shows what percentage of the 4096 seconds contains science mode data.
Let's download one data file, which we'll use for the rest of this tutorial. Since we want a file with mostly Science Mode data, let's download the file that starts at GPS time 815411200.
To download the file, just click the link in the column under the heading "HDF5". After the download completes, create a directory on your computer where you want to store the file, and move the file to its new home.
Use Timeline to Download Data FilesWe can also use Timeline to find and download data. As an example, we'll download the same 4096 s of data that starts at GPS 815411200, which is on November 7, 2005. This is very close to the beginning of the S5 run:
Scripting downloadsNotice that the data files are accessible through links with predictable names, so it is also possible to write scripts to download multiple data files.
What's next?Now that you have a LIGO data file downloaded to your computer, you can use Python packages to see what is in the file and make some plots.