irfpy.jdc.fov1
¶
JDC fov module (16 azim 4 elev version)
It is not yet clear the exact FOV of JDC. However, we need some model for it.
Here we assume 90x360 (half-hemisphere) for full view, with 4x16 bin separations. This will give you 22.5 degrees resolution. FWHM of 22.5 deg is also assumed.
-
irfpy.jdc.fov1.
elev_pix_center
(nel)[source]¶ Elevation pixel center in degrees.
The JDC has two units. Number definition is 0 as the zenith looking, and 3 as horizontal looking. The definition of angle, \(\theta\) is 0 for zenith looking and 90 is horizontal looking.
Note
The numbering definition is opposite from
irfpy.jdc.fov0
.Thus, the expression is
\[\theta = 22.5 * nel + 11.25\]- Parameters
nel (
int
,float
ornp.array
.) – Number of elevation. 0 to 3 (or more in general from -0.5 to 3.5).- Returns
The elevation angle in degrees.
- Return type
np.array
Note that the
nel
is usuallyint
ornp.array
withdtype=np.int
, butfloat
may also be allowed for special use.>>> print(elev_pix_center(0)) 11.25 >>> print(elev_pix_center(2)) 56.25 >>> print(elev_pix_center([-0.5, 3.5])) [ 0. 90.]
Note also that the returned type is np.array object, even the given parameter is a scalar. In this case, np.array object with shape
()
is returned.>>> print(elev_pix_center(3.5).shape) ()
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irfpy.jdc.fov1.
azim_pix_center
(naz)[source]¶ Return the azimuthal angle for the given channel number(s).
Similar to
elev_pix_center()
, the azimuthal angle, \(\phi\) is returned.\[\phi = naz * 22.5 + 11.25\]>>> print(azim_pix_center(0)) 11.25 >>> print(azim_pix_center(15)) 348.75 >>> print(azim_pix_center([6, 7, 8])) [146.25 168.75 191.25]