THE MICROWAVE SPECTRUM OF FLUORACETYL FLUORIDE∗FLUORIDE^{\ast}

Author Institution: Department of Chemistry, Harvard UniversityThe microwave spectrum of the form of fluoroacetyl fluoride in which the heavy atoms are in a plane and the fluorine atoms are mutually trans has been assigned. The rotational constants in the ground vibrational state are: $A = 10,508.92 Mc., B = 3,855.06 Mc., C = 2,870.72 Mc$. In addition, spectra due to molecules in the first and second excited states of the C-C torsion and in the first excited state of the skeletal bending vibration have been assigned. None of the observed lines of these spectra are split, and the low J lines fit very well to rigid rotor patterns. The energies of the excited torsional states and the dipole moment of the trans form of the molecule will be discussed. Evidence for the existence of a second rotational isomer will be given. $^{\ast}$ This research was made possible by support extended Harvard University by the Office of Naval Research

THE MICROWAVE SPECTRUM AND STRUCTURE OF FURAZAN∗FURAZAN^{*}

$^{*}$The research was made possible by supported extended Harvard University by the Office of Naval Research ONR Contract Nonr 1866, Task Order XIV.Author Institution: Department of Chemistry, Harvard University“The microwave spectrum of furazan, CH=N---O---N=CH, a sample of which was kindly supplied by R. A. Olofson and Jr S. Michelman, has been studied in the region 12-41 kMc. The rotational constants are: A=10457 Mc, B=9862 Mc, C=5024 Mc, which indicate a planar structure with intertial defect. $\Delta = 0.070$. The dipole moment is along the b axis, which is the axis of symmetry of the molecule. Some isotope data, and structural implications will be discussed.

Evaluation and Prediction of Soiling on PV Sites and Adaptation of Cleaning Strategies

Soiling is an important issue in the renewable energy sector since it can result in significant yield losses, especially in regions with higher pollution or dust levels. To mitigate the impact of soiling on photovoltaic (PV) plants, it is essential to regularly monitor and clean the panels, as well as develop accurate soiling predictions that can affect cleaning strategies and enhance the overall performance of PV power plants. This research focuses on the problem of soiling loss in photovoltaic power plants and the potential to improve the accuracy of soiling predictions. The study examines how soiling can affect the efficiency and productivity of the modules and how to measure and predict soiling using machine learning (ML) algorithms. The research includes analyzing real data from large-scale ground-mounted PV sites and comparing different soiling measurement methods. It was observed that there were some deviations in the real soiling loss values compared to the expected values for some projects in southern Spain, thus, the main goal of this work is to develop machine learning models that could predict the soiling more accurately. The developed models have a low mean square error (MSE), indicating the accuracy and suitability of the models to predict the soiling rates. The study also investigates the impact of different cleaning strategies on the performance of PV power plants and provides a powerful application to predict both the soiling and the number of cleaning cycles

Vertical Electro Polishing of Superconducting Single and Multi Cell Gun Resonators

At DESY activities on surface treatment of superconducting RF gun cavity resonators at 1.3 GHz are ongoing. Due to the small opening on the endplate for insertion of cathodes, no reasonable acid flow can be realized with the existing set up for horizontal electro polishing. To benefit from electro polishing of Niobium surfaces, an adapter to the existing horizontal electro polishing bench at DESY was set up and is in operation now. Vertical EP was applied on 1.3 GHz SRF gun resonators with 1.6 and 3.5 cell geometry. Work flow,process conditions as well as test results of gun cavities treated so far at DESY are described