Constructing a self-consistent integral baseline by using cubic splines

Various types of transformations require different baselines reflecting specificities of these transitions. The present work deals with the case when a degree of transformation is directly proportional to heat consumed or released. For such case, a baseline is named an integral baseline and is traditionally constructed by unnecessary simplifications. A new method is proposed as an alternative fast and robust computational method for baseline construction utilizing interpolating cubic splines. The method is self-consistent in the sense that it is free of needless assumptions and that it provides linearity between the degree of transformation and heat measured.