Comments (1)
Hi Shohini,
Yes reconstruction is slow, as slow as with the iontof software. This is because the reconstruction need to perform a lot of reading from the HDD and how its fileformat works. You can probably increase its speed by using a SSD drive and by adding a caching system of the ITM class.
Now I'm not sure to understand what you mean in your question. You can retrieve the raw spectrum and apply a mass calibration by using ITM.get_raw_spectrum(sf=sf, k0=k0)
and you can do a reconstruction using the same mass calibration using also the sf and k0 argument. There is already one example in the help file. Is this what you meant?
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Related Issues (20)
- https://github.com/scholi/pySPM_data. This URL could not be found . HOT 7
- D:\Anaconda\lib\site-packages\pySPM\data\CristA_0002.xml HOT 3
- Scaling parts of the spectrum HOT 3
- Wired z axis values HOT 4
- Issue with median of differences correction HOT 2
- "li" variable not defined in ITM.py HOT 6
- reuse file format reader in afmformats HOT 3
- Defining regions of interest (ROI) HOT 2
- Nonsquare scans Bruker files (.spm) HOT 5
- SurfaceLab7 .itax & .itm file support HOT 8
- lower case augment support for get_channel() struct.error: unpack requires a buffer of 369664 bytes HOT 1
- Error when opening an ITM File generated by Surface Lab 7 HOT 2
- Bruker spm format: request for explanantion of overall scale computation HOT 1
- Question: basic plotting code HOT 1
- Controlling image axix label size font type..etc HOT 1
- Unable to load an approach curve from Bruker Icon HOT 5
- Error while using correct_lines/ correct_slope on .spm- (Bruker-) data with different x-,y-dimension HOT 2
- Unable to read a SXM file from Nanonis HOT 11
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