Tapering Enhanced Stimulated Superradiant Oscillator

In this paper, we present a new kind of high power and high efficiency free-electron laser oscillator based on the application of the tapering enhanced stimulated superradiant amplification (TESSA) scheme. The main characteristic of the TESSA scheme is a high intensity seed pulse which provides high gradient beam deceleration and efficient energy extraction. In the oscillator configuration, the TESSA undulator is driven by a high repetition rate electron beam and embedded in an optical cavity. A beam-splitter is used for outcoupling a fraction of the amplified power and recirculate the remainder as the intense seed for the next electron beam pulse. The mirrors in the oscillator cavity refocus the seed at the undulator entrance and monochromatize the radiation. In this paper we discuss the optimization of the system for a technologically relevant example at 1 $\mu$m using a 1~MHz repetition rate electron linac starting with an externally injected igniter pulse.Comment: 24 pages, 13 figure

Effet d'une expérimentation de brassage artificiel epilimnique par aération sur les poussées cyanobactériennes dans la retenue hypereutrophe de Grangent (France)

Dans la retenue hypereutrophe de Grangent, le phytoplancton estival est dominé par la cyanobactérie Microcystis aeruginosa. Dans le but de lutter contre la formation de ces blooms cyanobactériens, une expérimentation de brassage artificiel épilimnique par aération a été réalisée en 1997-1998. Ce dispositif avait pour but de créer des turbulences supprimant l'avantage adaptatif que constitue, chez M. aeruginosa, la faculté de réguler sa flottabilité. Il devait également permettre l'homogénéisation des teneurs en oxygène dissous, la réduction des pics de pH, de la turbidité des eaux superficielles et des teneurs en ammonium.Les résultats escomptés ont été vérifiés pour les paramètres physicochimiques. Les valeurs se sont révélées plus homogènes, mais seulement à proximité des lignes de brassage et uniquement jusqu'à 10 m de profondeur. En revanche, les blooms cyanobactériens n'ont pas été réduits. Il apparaît même au contraire que, sous l'influence du mélange, les cyanobactéries ont eu à leur disposition une plus grande quantité de nutriments qu'elles ont utilisés pour constituer des réserves glucidiques. Ainsi, en aval de la zone brassée, ces réserves ont permis une synthèse protéique plus importante.Sur la retenue de Grangent, le dispositif de brassage peut offrir une solution palliative du point de vue touristique en limitant l'accumulation de cyanobactéries en surface, mais il ne permet pas d'éliminer, ni même de diminuer, les proliférations de M. aeruginosa en période estivale.In the reservoir of Grangent, a highly eutrophic lake located on the upper part of the Loire River, about 10 miles south of Saint-Étienne (France), Microcystis aeruginosa usually dominates the phytoplankton community in late summer and early autumn for many years. Mass developments of this cyanobacterium led to serious difficulties in multi-purpose usage. In order to fight against blooms, an epilimnic artificial mixing was experimented. M. aeruginosa is adapted to stable stratification of the water column. Therefore, partial destratification or bubbling with air are employed to replace M. aeruginosa by better grazable, non- " blooming " and non-toxic species. This cyanobacterium is supposed to lose its advantage of buoyancy and to reduce his growth. This system was also employed to reduce peaks of pH, turbidity of surface waters and concentration of NH4 and to homogenize the dissolved oxygen concentration inside the water column. Three lines of mixing were tested in 1998: one located at "Châtelet", upstream of reservoir, measuring 700 m at 11 m depth; one near the beach of Saint-Victor, with the same length and immersed to 15 m depth and, finally, a line of 400 m, near the port, at 16 m depth (figure 1).Data were collected from representative sites, upstream, near and downstream the artificial mixing. They were sampled weekly since April to November 1998. At each site the vertical profiles of temperature and dissolved oxygen were measured (figure 2). For each sample, the parameters following were analyzed: pH, NO3, NH4, PO4, carbohydrates, proteins, chlorophyll a and phytoplankton enumeration.Concerning the physicochemical parameters, the assumptions were checked: the values appeared more homogeneous near the lines of mixing than at the other stations. For example, the average temperatures varied between 20,6°C (at 10 m depth) and 21,3°C (at 0,5 m depth) at Saint-Victor. This variation reached 1,3°C at the station Camaldules. On the other hand, this effect was perceived only up to 10 m of depth and at a limited distance of mixing.In the same way, the colonies of M. aeruginosa were mixed in the water column but only up 10 m depth and near mixing. Moreover, their growth has not decreased on the whole of reservoir. In period of bloom (August 25), G/P ratio was higher in the mixing zone than in the neighbourhoods, primarily because of an increase in carbohydrates (figure 3). In the mixed zone, M. aeruginosa seemed to benefit greater quantity of mineral elements it could use to constitute carbohydrates reserves (figure 4). In this way, when the conditions that became less favourable, like downstream, cyanobacteria were able to follow their development by synthesizing proteins starting from their reserves in carbohydrates.In the reservoir of Grangent, artificial mixing did not allow to fight effectively against blooms of cyanobacteria. Colonies of M. aeruginosa were simply diluted in the water column near mixing but did not reduce their growth

Parameterized Compilation Lower Bounds for Restricted CNF-formulas

We show unconditional parameterized lower bounds in the area of knowledge compilation, more specifically on the size of circuits in decomposable negation normal form (DNNF) that encode CNF-formulas restricted by several graph width measures. In particular, we show that - there are CNF formulas of size $n$ and modular incidence treewidth $k$ whose smallest DNNF-encoding has size $n^{\Omega(k)}$, and - there are CNF formulas of size $n$ and incidence neighborhood diversity $k$ whose smallest DNNF-encoding has size $n^{\Omega(\sqrt{k})}$. These results complement recent upper bounds for compiling CNF into DNNF and strengthen---quantitatively and qualitatively---known conditional low\-er bounds for cliquewidth. Moreover, they show that, unlike for many graph problems, the parameters considered here behave significantly differently from treewidth

The Range of Topological Effects on Communication

We continue the study of communication cost of computing functions when inputs are distributed among $k$ processors, each of which is located at one vertex of a network/graph called a terminal. Every other node of the network also has a processor, with no input. The communication is point-to-point and the cost is the total number of bits exchanged by the protocol, in the worst case, on all edges. Chattopadhyay, Radhakrishnan and Rudra (FOCS'14) recently initiated a study of the effect of topology of the network on the total communication cost using tools from $L_1$ embeddings. Their techniques provided tight bounds for simple functions like Element-Distinctness (ED), which depend on the 1-median of the graph. This work addresses two other kinds of natural functions. We show that for a large class of natural functions like Set-Disjointness the communication cost is essentially $n$ times the cost of the optimal Steiner tree connecting the terminals. Further, we show for natural composed functions like $\text{ED} \circ \text{XOR}$ and $\text{XOR} \circ \text{ED}$, the naive protocols suggested by their definition is optimal for general networks. Interestingly, the bounds for these functions depend on more involved topological parameters that are a combination of Steiner tree and 1-median costs. To obtain our results, we use some new tools in addition to ones used in Chattopadhyay et. al. These include (i) viewing the communication constraints via a linear program; (ii) using tools from the theory of tree embeddings to prove topology sensitive direct sum results that handle the case of composed functions and (iii) representing the communication constraints of certain problems as a family of collection of multiway cuts, where each multiway cut simulates the hardness of computing the function on the star topology

Determination of automatic weather station self‐heating originating from accompanying electronics

open7openPavlasek, P.; Merlone, A.; Sanna, F.; Coppa, G.; Izquierdo, C. G.; Palencar, J.; Duris, S.Pavlasek, P.; Merlone, A.; Sanna, F.; Coppa, G.; Izquierdo, C. G.; Palencar, J.; Duris, S

Comparative assessment of in vitro and in silico methods for aerodynamic characterization of powders for inhalation

In vitro assessment of dry powders for inhalation (DPIs) aerodynamic performance is an inevitable test in DPI development. However, contemporary trends in drug development also implicate the use of in silico methods, e.g., computational fluid dynamics (CFD) coupled with discrete phase modeling (DPM). The aim of this study was to compare the designed CFD-DPM outcomes with the results of three in vitro methods for aerodynamic assessment of solid lipid microparticle DPIs. The model was able to simulate particle-to-wall sticking and estimate fractions of particles that stick or bounce off the inhaler’s wall; however, we observed notable differences between the in silico and in vitro results. The predicted emitted fractions (EFs) were comparable to the in vitro determined EFs, whereas the predicted fine particle fractions (FPFs) were generally lower than the corresponding in vitro values. In addition, CFD-DPM predicted higher mass median aerodynamic diameter (MMAD) in comparison to the in vitro values. The outcomes of different in vitro methods also diverged, implying that these methods are not interchangeable. Overall, our results support the utility of CFD-DPM in the DPI development, but highlight the need for additional improvements in these models to capture all the key processes influencing aerodynamic performance of specific DPIs

Physics-informed Gaussian Process for Online Optimization of Particle Accelerators

High-dimensional optimization is a critical challenge for operating large-scale scientific facilities. We apply a physics-informed Gaussian process (GP) optimizer to tune a complex system by conducting efficient global search. Typical GP models learn from past observations to make predictions, but this reduces their applicability to new systems where archive data is not available. Instead, here we use a fast approximate model from physics simulations to design the GP model. The GP is then employed to make inferences from sequential online observations in order to optimize the system. Simulation and experimental studies were carried out to demonstrate the method for online control of a storage ring. We show that the physics-informed GP outperforms current routinely used online optimizers in terms of convergence speed, and robustness on this task. The ability to inform the machine-learning model with physics may have wide applications in science

Electron beam shaping via laser heater temporal shaping

Active longitudinal beam optics can help FEL facilities achieve cutting edge performance by optimizing the beam to: produce multi-color pulses, suppress caustics, or support attosecond lasing. As the next generation of superconducting accelerators comes online, there is a need to find new elements which can both operate at high beam power and which offer multiplexing capabilities at Mhz repetition rate. Laser heater shaping promises to satisfy both criteria by imparting a programmable slice-energy spread on a shot-by-shot basis. We use a simple kinetic analysis to show how control of the slice energy spread translates into control of the bunch current profile, and then we present a collection of start-to-end simulations at LCLS-II in order to illustrate the technique.Comment: 12 pages, 11 figure