Trusted, Bureaucrats, Administrators
1,660
edits
Changes
Jump to navigation
Jump to search
Created page with "== Data background == This is data recorded at 600 and 950 MHz.<br> For each spectrometer frequency, the data is saved in np.arrays # one for the residue number, # one for t..."
== Data background ==
This is data recorded at 600 and 950 MHz.<br>
For each spectrometer frequency, the data is saved in np.arrays
# one for the residue number,
# one for the rates,
# one for the errorbars,
# one for the RF field strength.
They can be retrieved also with scipy's loadmat command.
The experiments are on-resonance R1rho, and the rates are already corrected for the (small) offset effect, using the experimentally determined R1.
Specifically, the numpy shapes of the data is:
# 600
## residues (1, 60)
## rates (60, 10)
## errorbars_rate (60, 10)
## RFfields (1, 10)
# 950
## residues (1, 61)
## rates (61, 19)
## errorbars_rate (61, 19)
## RFfields (1, 19)
== See also ==
[[Category:Tutorials]]
[[Category:Relaxation dispersion analysis]]
This is data recorded at 600 and 950 MHz.<br>
For each spectrometer frequency, the data is saved in np.arrays
# one for the residue number,
# one for the rates,
# one for the errorbars,
# one for the RF field strength.
They can be retrieved also with scipy's loadmat command.
The experiments are on-resonance R1rho, and the rates are already corrected for the (small) offset effect, using the experimentally determined R1.
Specifically, the numpy shapes of the data is:
# 600
## residues (1, 60)
## rates (60, 10)
## errorbars_rate (60, 10)
## RFfields (1, 10)
# 950
## residues (1, 61)
## rates (61, 19)
## errorbars_rate (61, 19)
## RFfields (1, 19)
== See also ==
[[Category:Tutorials]]
[[Category:Relaxation dispersion analysis]]
