irfpy.jna.fov1

JNA FoV module

Conversion between \(\theta\) \(\phi\) system to a vector is implemented in frame module. See also How to convert between frames.

Definition of \(\theta\) and \(\phi\) is as follows. Primary axis is -z axis. \(\theta\) is measured from xy plane and positive in -z axis. In other word, this is a co-latitude measured from -z axis. \(\phi\) is measured from y axis (strictly speaking yz plane) and positive toward x axis. See Figure 1.1 in CENA calibration report.

irfpy.jna.fov1.shape_of_response(n, theta, phi)[source]

Return the shape of response.

Parameters

  • n – Channel ID from 0 to 10.

  • theta – Elevation angle (\(\theta\)) in degrees. Should be -90 to 90.

  • phi – Azimuthal angle (\(\phi\)) in degrees. Should be -180 to 180.

irfpy.jna.fov1.pixel_shape(n, elevresolution=0, azimresolution=0, resolution=None, fill=False)[source]

Return an array of the pixel edge angle of its FWHM.

Parameters

  • n – Channel number. 0 to 10.

  • azimresolution – Azimuthal resolution. Number of division in azimuthal direction.

  • elevresolution – Elevation resolution. Number of division in elevation direction.

  • resolution – Resolution. Overwrite azimresolution and elevresolution.

  • fill – If true, the first point is added to the end.

Returns

A tuple of 2 numpy array. Array of \(\theta\) and array of \(\phi\).

The number of elements is 4+2*azimresolution+2*elevresolution. If fill is True, one more element is added. However, it is recommend to check the number after you get the array.

>>> pix0 = pixel_shape(0, azimresolution=50, elevresolution=3)
>>> print(len(pix0[0]), len(pix0[1]))
110 110
irfpy.jna.fov1.azim_pix_center(n)[source]

Returns the azimuth (\(\phi\)) center in degrees for the pixel n.

irfpy.jna.fov1.azim_pix_fwhm(n)[source]

Returns the FWHM of the azimuthal directions (\(\phi\)) in degrees.

Assuming it does not depend on n. 15.0 degrees.

irfpy.jna.fov1.elev_pix_center(n)[source]

Returns the elevation center (\(\theta\)) in degrees for the pixel n.

It does not indeed depend on n: Preliminary value -10.00 assumed, as of 2015-05, to be updated.

irfpy.jna.fov1.elev_pix_fwhm(n)[source]

Returns the FWHM of the elevation (\(\theta\)) directions in degrees.

Independent of n Preliminaly value 8.00 assumed, as of 2015-05, to be updated.

irfpy.jna.fov1.solid_angle(n)[source]

Returns the approximate soliad angle.

Equation (3.8) gives the definition.

\[\Delta\Omega_n \approx FWHM_{\phi,n} \cdot FWHM_{\theta,n}\]
>>> print('%.3f' % solid_angle(0))
0.037