Instruction to download release added

docs/source/usage/getting_started.rst

@@ -9,15 +9,13 @@ Installation
 A Python 3 installation is required to run ESBO-ETC. You can get the latest python version
 `here <https://www.python.org/downloads/>`_.
 
-In order to get ESBO-ETC, clone the code from the IRS git server using
+In order to get ESBO-ETC, download the latest release from the `IRS git server <https://egit.irs.uni-stuttgart.de/esbo_ds/ESBO-ETC/releases>`_ or clone the latest development version from the IRS git server using
 
 .. code-block:: bash
     :linenos:
 
     git clone https://egit.irs.uni-stuttgart.de/esbo_ds/ESBO-ETC.git
 
-or download the code from the `IRS git server <https://egit.irs.uni-stuttgart.de/esbo_ds/ESBO-ETC>`_.
-
 Python Virtual Environment
 --------------------------
 

esbo_etc/classes/target/BlackBodyTarget.py

@@ -6,6 +6,7 @@ from astropy.constants import c, k_B
 from ...lib.logger import logger
 from ..Entry import Entry
 from typing import Union
+import numpy as np
 
 
 class BlackBodyTarget(ATarget):
@@ -71,6 +72,10 @@ class BlackBodyTarget(ATarget):
                 factor = self._band[band.upper()]["sfd"] / (bb(self._band[band.upper()]["wl"]) * u.sr) * u.sr
             # Calculate spectral flux density for the given wavelengths and scale it for a star of the given magnitude
             sfd = bb(wl_bins) * factor * 10 ** (- 2 / 5 * mag / u.mag)  # / 1.195 * 1.16 #  scaling for AETC validation
+            wl_bins_2 = np.arange(15.71, 23.71, 0.01) << u.um
+            sfd_2 = bb(wl_bins_2) * factor * 10 ** (- 2 / 5 * mag / u.mag)
+            sqty_2 = SpectralQty(wl_bins_2, sfd_2).integrate()
+            print((sqty_2 / (8 * u.um)).to(u.W / (u.m ** 2 * u.um)))
         else:
             sfd = bb(wl_bins)
         # Initialize super class