Electron acceleration by a wake field forced by an intense ultrashort laser pulse.

Science

Laboratoire d'Optique Appliquée, Ecole Nationale Supérieure des Techniques Avancées, Ecole Polytechnique, CNRS, UMR 7639, 91761 Palaiseau, France.

Published: November 2002

Plasmas are an attractive medium for the next generation of particle accelerators because they can support electric fields greater than several hundred gigavolts per meter. These accelerating fields are generated by relativistic plasma waves-space-charge oscillations-that can be excited when a high-intensity laser propagates through a plasma. Large currents of background electrons can then be trapped and subsequently accelerated by these relativistic waves. In the forced laser wake field regime, where the laser pulse length is of the order of the plasma wavelength, we show that a gain in maximum electron energy of up to 200 megaelectronvolts can be achieved, along with an improvement in the quality of the ultrashort electron beam.

Download full-text PDF

Source
http://dx.doi.org/10.1126/science.1076782DOI Listing

Publication Analysis

Top Keywords

wake field
8
laser pulse
8
electron acceleration
4
acceleration wake
4
field forced
4
forced intense
4
intense ultrashort
4
laser
4
ultrashort laser
4
pulse plasmas
4

Similar Publications

Background: Precision Prevention -the right intervention for the right person at the right time- is a recent endeavour in the Alzheimer's disease (AD) field, requiring the integration of multidimensional data from large, representative populations, to identify phenotypes for early and accurate detection of prevention potential.

Aims: The World-Wide FINGERS (WW-FINGERS) network of multidomain trials for risk reduction and prevention of dementia includes 60+ countries. The network aims to adapt and test the original model from the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) which showed that a multidomain intervention can benefit cognition in older adults at-risk of dementia.

View Article and Find Full Text PDF

Developing Topics.

Alzheimers Dement

December 2024

Icahn School of Medicine, Mount Sinai Hospital, New York, NY, USA.

Background: Adverse social exposome (indexed by high national Area Deprivation Index [ADI]) is linked to structural inequities and increased risk of clinical dementia diagnosis, yet linkage to ADRD neuropathology remains largely unknown. Early work from single site brain banks suggests a relationship, but assessment in large national cohorts is needed to increase generalizability and depth, particularly for rarer neuropathology findings.

Objective: Determine the association between adverse social exposome by ADI and ADRD neuropathology for brain donors from 21 Alzheimer's Disease Research Center (ADRC) brain banks as part of the on-going Neighborhoods Study.

View Article and Find Full Text PDF

Compound 38, a novel potent and selective antagonist of adenosine A receptor, enhances arousal in mice.

Acta Pharmacol Sin

January 2025

Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Joint International Research Laboratory of Sleep, Fudan University, Shanghai, 200032, China.

Adenosine A receptor (AR) plays a pivotal role in the regulation of sleep-wake behaviors. We previously reported an AR selective antagonist compound 38 with an IC value of 29.0 nM.

View Article and Find Full Text PDF

A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring.

Digit Health

January 2025

Faculty IV: School of Science and Technology, Institute for Knowledge-Based Systems and Knowledge Management, University of Siegen, Siegen, Germany.

Objective: Digital twins (DTs) emerged in the wake of Industry 4.0 and the creation of cyber-physical systems, motivated by the increased availability and variability of machine and sensor data. DTs are a concept to create a digital representation of a physical entity and imitate its behavior, while feeding real-world data to the digital counterpart, thus allowing enabling digital simulations related to the real-world entity.

View Article and Find Full Text PDF

Background: Digital wearable devices, worn on or close to the body, have potential for passively detecting mental and physical health symptoms among people with severe mental illness (SMI); however, the roles of consumer-grade devices are not well understood.

Objective: This study aims to examine the utility of data from consumer-grade, digital, wearable devices (including smartphones or wrist-worn devices) for remotely monitoring or predicting changes in mental or physical health among adults with schizophrenia or bipolar disorder. Studies were included that passively collected physiological data (including sleep duration, heart rate, sleep and wake patterns, or physical activity) for at least 3 days.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!