+
+
+
Crab Nebula Observations
+
+
In November 2017 the FACT Collaboration decided to make
+ a first step into the direction of Open Data and release a sample of 17.7 hours of Crab Nebula observations measured in November 2013 available to the general public, along
+ with simulations needed to perform analysis of this data sample.
+
+
+
We encourage to use this data for training, education and outreach for FACT and gamma-ray astronomy in general.
+
+
+
Please cite [1] and [2] if you use the data provided here.
+
+
+
Runwise Metadata
+ Important runwise metadata is available in csv format
+
here
+
+
Raw Data
+
+
The raw data as saved on disk by the Telescope
+ is provided in zfits[3] format.
+ The data is available here.
+
+
Both FACT Data Analysis chains start from this data format.
+
+
+
+
To analyse the data, telescope metadata is needed.
+ This data is provided as one standard fits file per service for each night here.
+
+ Especially important for the analysis are the YYYYMMDD_DRIVE_CONTROL_TRACKING_POSITION.fits files, containing the pointing direction of the telescope measured every two seconds and the YYYYMMDD_DRIVE_CONTROL_SOURCE_POSITION.fits containing information about the currently observed source. These two files are needed for the FACT-Tools standard analysis.
+
+
+
+
PhotonStream Data
+
+ The data sample in the PhotonStream format, arrival times of each individual photon that FACT measured for the events.
+
+ A more in-depth description and the data is available
here.
+ This data might be the most approachable for newcomers to gamma-ray astronomy.
+
+
Data Level 1
+
+ We are planning to add hdf5 files with the number of photons and mean arrival time for each pixel shortly.
+
+ The format is described
here.
+
+
Data Level 2
+
+ Reconstructed and parameterized events using FACT-Tools version 0.17.2 are available
+ as hdf5 file
here.
+
+ These files can easily be read into pandas dataframes using
+
pyfact's fact.io.read_data.
+
+
Data Level 3
+
+ Reconstructed gamma-ray events using FACT-Tools for raw data calibration, signal extraction, cleaning and image parameterisation and the
classifier-tools to estimate the origin, energy and gammaness of the events.
+
+ The data as single hdf5 file is available
here.
+
+
References
+
+ -
+
+ Anderhub et al., Design and operation of FACT – the first G-APD
+Cherenkov telescope, 2013.
+
+
+ -
+
+ Biland et al., Calibration and performance of the photon sensor
+response of FACT — the first G-APD Cherenkov
+telescope
+
+
+ -
+
+ Ahnen et al., Data compression for the First G-APD Cherenkov Telescope, 2015.
+
+
+
+