Package Reference Documentation¶
The following classes and methods form the rampedpyrox package:
Ramped PyrOx classes¶
rampedpyrox.RpoThermogram(t, T[, g]) |
Class for inputting and storing Ramped PyrOx true (observed) and estimated (forward-modelled) thermograms, calculating goodness of fit statistics, and reporting summary tables. |
rampedpyrox.Daem(E, log10omega, t, T) |
Class to calculate the DAEM model transform. |
rampedpyrox.EnergyComplex(E[, p]) |
Class for inputting and storing Ramped PryOx activation energy distributions. |
rampedpyrox.RpoIsotopes(model, ratedata, t_frac) |
Class for inputting Ramped PyrOx isotopes, calculating p(0,E) contained in each RPO fraction, correcting isotope values for blank contribution, mass balance, and kinetic fractionation (d13C only), and storing resulting data and statistics. |
Ramped PyrOx methods¶
rampedpyrox.assert_len(data, n) |
Asserts that an array has length n and float datatypes. |
rampedpyrox.calc_L_curve(model, timedata[, ...]) |
Function to calculate the L-curve for a given model and timedata instance in order to choose the best-fit smoothing parameter, lambda. |
rampedpyrox.derivatize(num, denom) |
Method for derivatizing numerator, num, with respect to denominator, denom. |
rampedpyrox.extract_moments(x, y) |
Extracts 1st (mean) and 2nd (stdev) moments from a distribution. |
rampedpyrox.plot_tg_isotopes(timedata, result) |
Function to plot raw timedata (e.g. |
References¶
The following references were used during creation of the core rampedpyrox
pacakge or provide information regarding the choice of user-inputted parameters
(i.e. omega, lambda, and DE).
[1] R.L Braun and A.K. Burnham (1987) Analysis of chemical reaction kinetics using a distribution of activation energies and simpler models. Energy & Fuels, 1, 153-161.
[2] B. Cramer (2004) Methane generation from coal during open system pyrolysis investigated by isotope specific, Gaussian distributed reaction kinetics. Organic Geochemistry, 35, 379-392.
[3] V. Dieckmann (2005) Modeling petroleum formation from heterogeneous source rocks: The influence of frequency factors on activation energy distribution and geological prediction. Marine and Petroleum Geology, 22, 375-390.
[4] D.C. Forney and D.H. Rothman (2012) Common structure in the heterogeneity of plant-matter decay. Journal of the Royal Society Interface, rsif.2012.0122.
[5] D.C. Forney and D.H. Rothman (2012) Inverse method for calculating respiration rates from decay time series. Biogeosciences, 9, 3601-3612.
[6] P.C. Hansen (1994) Regularization tools: A Matlab package for analysis and solution of discrete ill-posed problems. Numerical Algorithms, 6, 1-35.
[7] J.D. Hemingway et al. (2017) Assessing the blank carbon contribution, isotope mass balance, and kinetic isotope fractionation of the ramped pyrolysis/oxidation instrument at NOSAMS. Radiocarbon, 59, 179-193.
[8] C.C. Lakshmananan et al. (1991) Implications of multiplicity in kinetic parameters to petroleum exploration: Distributed activation energy models. Energy & Fuels, 5, 110-117.
[9] Rosenheim et al. (2008) Antarctic sediment chronology by programmed-temperature pyrolysis: Methodology and data treatment. Geochemistry, Geophysics, Geosystems, 9(4), GC001816.
[10] J.E. White et al. (2011) Biomass pyrolysis kinetics: A comparative critical review with relevant agricultural residue case studies. Journal of Analytical and Applied Pyrolysis, 91, 1-33.