- Timestamp:
- 12/01/17 14:10:02 (7 years ago)
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r18933 r18934 63 63 This data might be the most approachable raw data format for newcomers to gamma-ray astronomy. 64 64 65 <!-- 65 66 <h3>Data Level 1</h3> 66 67 67 We are planning to add hdf5 files with the number of photons and mean arrival time for each pixel shortly. 68 69 The format is described <a href="https://github.com/cta-observatory/dl_data_dumper">here.</a> 68 We are planning to add files with the number of photons and mean arrival time for each pixel shortly. 70 69 71 70 <h3>Data Level 2</h3> 72 71 73 Reconstructed and parameterized events using FACT-Tools version 0.17.2 are available 74 as hdf5 file <a href="https://factdata.app.tu-dortmund.de/dl2">here</a>. 75 76 These files can easily be read into pandas dataframes using 77 <a href="https://github.com/fact-project/pyfact">pyfact's</a> <code>fact.io.read_data</code>. 72 Reconstructed and parameterized events on the image parameter level using FACT-Tools and Mars are available <a href="https://factdata.app.tu-dortmund.de/dl2">here</a>. 78 73 79 74 <h3>Data Level 3</h3> 80 75 81 Reconstructed gamma-ray events using FACT-Tools for raw data calibration, signal extraction, cleaning and image parameterisation and the <a href="https://github.com/fact-project/classifier-tools">classifier-tools</a> to estimate the origin, energy and gammaness of the events. 76 Fully reconstructed gamma-ray eventlists, with estimated energy, 77 gammaness and reconstructed source position in ra/dec are available <a href="https://factdata.app.tu-dortmund.de/dl3/">here</a>. 82 78 83 The data as single hdf5 file is available <a href="https://factdata.app.tu-dortmund.de/dl3/">here</a>. 79 --> 80 81 <h3>High Level Analysis Results</h3> 82 83 <ul> 84 <li>Results of the FACT Quick Look Analysis are available on the 85 <a href="https://fact-project.org/monitoring">Monitoring Website</a>. 86 </li> 87 </ul> 84 88 85 89 <h2>References</h2>
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