67 lines
1.7 KiB
Plaintext
67 lines
1.7 KiB
Plaintext
Metadata-Version: 2.1
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Name: nuwavsource
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Version: 0.0.3
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Summary: A package for source exclusion in NuStar observation data using wavelet decomposition
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Home-page: https://github.com/Andreyousan/nuwavsource
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Author: Andrey Mukhin
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Author-email: amukhin@phystech.edu
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License: UNKNOWN
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Platform: UNKNOWN
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Classifier: Programming Language :: Python :: 3
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Operating System :: OS Independent
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Description-Content-Type: text/markdown
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License-File: LICENSE.md
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# nuwavsource
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This package is supposed to be used to detect the sources in NuStar observations and generate a mask excluding the signal from the sources of any kind.
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Additionaly, it generates a table containing:
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Useful data about the observation:
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1. OBS_ID
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2. Detector
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3. Coordinates in equatorial (ra,dec) and galactical (lon,lat) systems
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4. Time of the observation in seconds
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5. Exposure
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Useful algorythm-related data:
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6. Average count rate on unmasked area
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7. Portion of unmasked area
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8. Specific statistical metric[1] before and after masking the detected sources
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9. Root-mean-square of counts in unmasked area
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## Installation
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This package is to be used with Python 3.x.x
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To install tha package write
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```bash
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pip install nuwavsource
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```
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## Usage
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To use the package in your project, import it in by writing
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```python
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from nuwavsource import nuwavsource
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```
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You can process the cl.evt file by creating an Observation class object:
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```python
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obs = nuwavsource.Observation(path_to_evt_file)
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```
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Additionally, the energy band in KeV to get events from can be passed as an argument. The default value is [3,20].
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```python
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obs = nuwavsource.Observation(path_to_evt_file,E_borders=[E_min,E_max])
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```
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