### bnlcrl
Simulator of the compound refractive lenses (CRL).
Learn more at https://github.com/mrakitin/bnlcrl.
Documentation: http://bnlcrl.readthedocs.org/en/latest/
Travis CI: [](https://travis-ci.org/mrakitin/bnlcrl)
ReadTheDocs: [](http://bnlcrl.readthedocs.io/en/latest/?badge=latest)
----
The code is written in pure Python, tested to be working under Linux and Windows with Python 2.7/3.5 and Jython 2.7. There is no required NumPy dependency, but it still can be used for operations with matrices, etc. (see the `Usage` section below).
`CRL` is a library containing the following:
- `CRL/CRL.py` is a module containing the `CRL` class;
- `CRL/crl_console.py` is a script to perform calculations from console using the following (main) input parameters:
- a list of identificators of the active cartridges (`-c/--cart_ids`);
- photon energy (`-e/--energy`);
- distance to the first lens (`-p/--p0`).
Usage:
-
```
usage: crl_console.py [-h] -c [CART_IDS [CART_IDS ...]] [-b BEAMLINE]
[--d_ssa_focus D_SSA_FOCUS] [-d DATA_FILE]
[--dl_cart DL_CART] [--dl_lens DL_LENS] [-e ENERGY]
[--lens_array [LENS_ARRAY [LENS_ARRAY ...]]]
[-o OUTFILE] [-f OUTPUT_FORMAT] [-p P0]
[--r_array [R_ARRAY [R_ARRAY ...]]] [-t TETA0] [-n]
Calculate real CRL under-/over-focusing comparing with the ideal lens.
optional arguments:
-h, --help show this help message and exit
-c [CART_IDS [CART_IDS ...]], --cart_ids [CART_IDS [CART_IDS ...]]
cartridges ids.
-b BEAMLINE, --beamline BEAMLINE
beamline name.
--d_ssa_focus D_SSA_FOCUS
Distance from SSA??? [m].
-d DATA_FILE, --data_file DATA_FILE
data file with delta values for the material of the
CRL (e.g., Be).
--dl_cart DL_CART distance between centers of two neighbouring
cartridges [m].
--dl_lens DL_LENS distance between two lenses within a cartridge [m].
-e ENERGY, --energy ENERGY
photon energy [eV].
--lens_array [LENS_ARRAY [LENS_ARRAY ...]]
possible number of lenses in cartridges.
-o OUTFILE, --outfile OUTFILE
output file.
-f OUTPUT_FORMAT, --output_format OUTPUT_FORMAT
output file format (CSV, JSON, plain text).
-p P0, --p0 P0 distance from z=50.9 m to the first lens in the most
upstream cartridge at the most upstream position of
the transfocator [m].
--r_array [R_ARRAY [R_ARRAY ...]]
radii of available lenses in different cartridges
[um].
-t TETA0, --teta0 TETA0
divergence of the beam before CRL [rad].
-n, --use_numpy use NumPy for operations with matrices.
```
Examples of execution:
-
```bash
$ python CRL/crl_console.py -c 2 4 6 7 8 -e 21500 -p 6.52 -f json
{
"d": 0.0003724552768691325,
"d_ideal": -0.0669574652539282,
"f": 1.048643779215436,
"p0": 6.52,
"p1": 1.2496275447231306,
"p1_ideal": 1.3169574652539293
}
```
```bash
$ python CRL/crl_console.py -c 2 4 6 7 8 -e 21500 -p 6.52 -f csv
"d","d_ideal","f","p0","p1","p1_ideal"
0.0003724552768691325,-0.0669574652539282,1.048643779215436,6.52,1.2496275447231306,1.3169574652539293
```
```
$ python CRL/crl_console.py -c 2 4 6 7 8 -e 21500 -p 6.52 -f txt
d: 0.0003724552768691325, d_ideal: -0.0669574652539282, f: 1.048643779215436, p0: 6.52, p1: 1.2496275447231306, p1_ideal: 1.3169574652539293
```
```
$ python CRL/crl_console.py -c -e 21500 -p 6.52
"d","d_ideal","f","p0","p1","p1_ideal"
0,0,0,6.52,0,0
```
This library is used on the SMI beamline at NSLS-II:
#### License
License: http://www.apache.org/licenses/LICENSE-2.0.html
Copyright (c) 2016 mrakitin. All Rights Reserved.
Simulator of the compound refractive lenses (CRL).
Learn more at https://github.com/mrakitin/bnlcrl.
Documentation: http://bnlcrl.readthedocs.org/en/latest/
Travis CI: [](https://travis-ci.org/mrakitin/bnlcrl)
ReadTheDocs: [](http://bnlcrl.readthedocs.io/en/latest/?badge=latest)
----
The code is written in pure Python, tested to be working under Linux and Windows with Python 2.7/3.5 and Jython 2.7. There is no required NumPy dependency, but it still can be used for operations with matrices, etc. (see the `Usage` section below).
`CRL` is a library containing the following:
- `CRL/CRL.py` is a module containing the `CRL` class;
- `CRL/crl_console.py` is a script to perform calculations from console using the following (main) input parameters:
- a list of identificators of the active cartridges (`-c/--cart_ids`);
- photon energy (`-e/--energy`);
- distance to the first lens (`-p/--p0`).
Usage:
-
```
usage: crl_console.py [-h] -c [CART_IDS [CART_IDS ...]] [-b BEAMLINE]
[--d_ssa_focus D_SSA_FOCUS] [-d DATA_FILE]
[--dl_cart DL_CART] [--dl_lens DL_LENS] [-e ENERGY]
[--lens_array [LENS_ARRAY [LENS_ARRAY ...]]]
[-o OUTFILE] [-f OUTPUT_FORMAT] [-p P0]
[--r_array [R_ARRAY [R_ARRAY ...]]] [-t TETA0] [-n]
Calculate real CRL under-/over-focusing comparing with the ideal lens.
optional arguments:
-h, --help show this help message and exit
-c [CART_IDS [CART_IDS ...]], --cart_ids [CART_IDS [CART_IDS ...]]
cartridges ids.
-b BEAMLINE, --beamline BEAMLINE
beamline name.
--d_ssa_focus D_SSA_FOCUS
Distance from SSA??? [m].
-d DATA_FILE, --data_file DATA_FILE
data file with delta values for the material of the
CRL (e.g., Be).
--dl_cart DL_CART distance between centers of two neighbouring
cartridges [m].
--dl_lens DL_LENS distance between two lenses within a cartridge [m].
-e ENERGY, --energy ENERGY
photon energy [eV].
--lens_array [LENS_ARRAY [LENS_ARRAY ...]]
possible number of lenses in cartridges.
-o OUTFILE, --outfile OUTFILE
output file.
-f OUTPUT_FORMAT, --output_format OUTPUT_FORMAT
output file format (CSV, JSON, plain text).
-p P0, --p0 P0 distance from z=50.9 m to the first lens in the most
upstream cartridge at the most upstream position of
the transfocator [m].
--r_array [R_ARRAY [R_ARRAY ...]]
radii of available lenses in different cartridges
[um].
-t TETA0, --teta0 TETA0
divergence of the beam before CRL [rad].
-n, --use_numpy use NumPy for operations with matrices.
```
Examples of execution:
-
```bash
$ python CRL/crl_console.py -c 2 4 6 7 8 -e 21500 -p 6.52 -f json
{
"d": 0.0003724552768691325,
"d_ideal": -0.0669574652539282,
"f": 1.048643779215436,
"p0": 6.52,
"p1": 1.2496275447231306,
"p1_ideal": 1.3169574652539293
}
```
```bash
$ python CRL/crl_console.py -c 2 4 6 7 8 -e 21500 -p 6.52 -f csv
"d","d_ideal","f","p0","p1","p1_ideal"
0.0003724552768691325,-0.0669574652539282,1.048643779215436,6.52,1.2496275447231306,1.3169574652539293
```
```
$ python CRL/crl_console.py -c 2 4 6 7 8 -e 21500 -p 6.52 -f txt
d: 0.0003724552768691325, d_ideal: -0.0669574652539282, f: 1.048643779215436, p0: 6.52, p1: 1.2496275447231306, p1_ideal: 1.3169574652539293
```
```
$ python CRL/crl_console.py -c -e 21500 -p 6.52
"d","d_ideal","f","p0","p1","p1_ideal"
0,0,0,6.52,0,0
```
This library is used on the SMI beamline at NSLS-II:
#### License
License: http://www.apache.org/licenses/LICENSE-2.0.html
Copyright (c) 2016 mrakitin. All Rights Reserved.
1 maintainer
Metadata
1 maintainer
Release files for bnlcrl 20160714.223307
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bnlcrl-20160714.223307.zip | 489.4 kB | Details |
Release files / bnlcrl-20160714.223307.zip
| Download URL | bnlcrl-20160714.223307.zip |
|---|---|
| Size | 489.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1d7e84c751b4234aefd9a52a12610c5437d4edc38320f5124a5d9cc98e87e5ec
|
|
BLAKE2b-256 checksum How to use checksums |
e63bef8e6c945eb524c6d0e857c54fa0045a0f0c013cfb205377d523a27050d1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
