Unknown

Dataset Information

0

Analysis of multicrystal pump-probe data sets. II. Scaling of ratio data sets.


ABSTRACT: Two methods for scaling of multicrystal data collected in time-resolved photocrystallography experiments are discussed. The WLS method is based on a weighted least-squares refinement of laser-ON/laser-OFF intensity ratios. The other, previously applied, is based on the average absolute system response to light exposure. A more advanced application of these methods for scaling within a data set, necessary because of frequent anisotropy of light absorption in crystalline samples, is proposed. The methods are applied to recently collected synchrotron data on the tetra-nuclear compound Ag2Cu2L4 with L = 2-diphenylphosphino-3-methylindole. A statistical analysis of the weighted least-squares refinement residual terms is performed to test the importance of the scaling procedure.

SUBMITTER: Fournier B 

PROVIDER: S-EPMC4770874 | biostudies-other | 2016 Mar

REPOSITORIES: biostudies-other

altmetric image

Publications

Analysis of multicrystal pump-probe data sets. II. Scaling of ratio data sets.

Fournier Bertrand B   Sokolow Jesse J   Coppens Philip P  

Acta crystallographica. Section A, Foundations and advances 20160216 Pt 2


Two methods for scaling of multicrystal data collected in time-resolved photocrystallography experiments are discussed. The WLS method is based on a weighted least-squares refinement of laser-ON/laser-OFF intensity ratios. The other, previously applied, is based on the average absolute system response to light exposure. A more advanced application of these methods for scaling within a data set, necessary because of frequent anisotropy of light absorption in crystalline samples, is proposed. The  ...[more]

Similar Datasets

| S-EPMC2375126 | biostudies-literature
| S-EPMC7034223 | biostudies-literature
| S-EPMC5104978 | biostudies-literature
| S-EPMC2397416 | biostudies-literature
| S-EPMC3902802 | biostudies-literature
| S-EPMC8457154 | biostudies-literature
| S-EPMC7888669 | biostudies-literature
| S-EPMC3505039 | biostudies-literature
| S-EPMC3371363 | biostudies-literature
| S-EPMC6588381 | biostudies-literature