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Update 'Absorption Imaging Class'

Jianshun Gao 2022-07-22 16:35:54 +02:00
parent de4cb88553
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Absorption-Imaging-Class.md

@ -17,6 +17,8 @@ The path of those three standard pictures should be "camera_orientation\camera_l
Just for get the absorption imaging, it doesn't require any information about camera and transition. But any further calculation, it has to call "transition" and "camera" Just for get the absorption imaging, it doesn't require any information about camera and transition. But any further calculation, it has to call "transition" and "camera"
\_\_enter\_\_ and \_\_exit\_\_ functions is defined. But be careful, \_\_enter\_\_ function will calculate the atom number.
### Parameters: ### Parameters:
* **data_path** *(unknown, necessary)*: The path of hdf5 file provided by lyse moduel in LabScript. * **data_path** *(unknown, necessary)*: The path of hdf5 file provided by lyse moduel in LabScript.
* **camera_orientation** *(string, necessary)*: Name of the camare group in hdf5 file. * **camera_orientation** *(string, necessary)*: Name of the camare group in hdf5 file.
@ -25,3 +27,20 @@ Just for get the absorption imaging, it doesn't require any information about ca
* **camera** *(object of class dylab.Camera.\*, optional)*: A constant dictionary class storing the information of camera. * **camera** *(object of class dylab.Camera.\*, optional)*: A constant dictionary class storing the information of camera.
* **detuning** *(float, optional)*: Detuning of the laser beam. * **detuning** *(float, optional)*: Detuning of the laser beam.
* **Intensity** *(float, optional)*: Laser beam intensity at the position of atom cloud! * **Intensity** *(float, optional)*: Laser beam intensity at the position of atom cloud!
## absorption_imaging.set_image_name()
> dylab.absorption_imaging.set_image_name(image, name):
It can set the searching name of those three satandard images. The defualt names are "atoms", "background" and "dark".
### Parameters:
* **image** *(string, necessary)*: The contents of dictionary storing the name of those three images. It has to be one of "atoms", "background" and "dark".
* **name** *(string, necessary)*: The new searching name.
### Return
* Nothing
## absorption_imaging.get_image_absorption
> dylab.absorption_imaging.get_image_absorption():
It will calculate the absorption imaging, integrating in \_\_enter\_\_ function