93 research outputs found

    Measurement of the Crab Nebula Spectrum Past 100 TeV with HAWC

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    We present TeV gamma-ray observations of the Crab Nebula, the standard reference source in ground-based gamma-ray astronomy, using data from the High Altitude Water Cherenkov (HAWC) Gamma-Ray Observatory. In this analysis we use two independent energy-estimation methods that utilize extensive air shower variables such as the core position, shower angle, and shower lateral energy distribution. In contrast, the previously published HAWC energy spectrum roughly estimated the shower energy with only the number of photomultipliers triggered. This new methodology yields a much improved energy resolution over the previous analysis and extends HAWC's ability to accurately measure gamma-ray energies well beyond 100 TeV. The energy spectrum of the Crab Nebula is well fit to a log parabola shape (dNdE=ϕ0(E/7 TeV)αβln(E/7 TeV))\left(\frac{dN}{dE} = \phi_0 \left(E/\textrm{7 TeV}\right)^{-\alpha-\beta\ln\left(E/\textrm{7 TeV}\right)}\right) with emission up to at least 100 TeV. For the first estimator, a ground parameter that utilizes fits to the lateral distribution function to measure the charge density 40 meters from the shower axis, the best-fit values are ϕo\phi_o=(2.35±\pm0.040.21+0.20^{+0.20}_{-0.21})×\times1013^{-13} (TeV cm2^2 s)1^{-1}, α\alpha=2.79±\pm0.020.03+0.01^{+0.01}_{-0.03}, and β\beta=0.10±\pm0.010.03+0.01^{+0.01}_{-0.03}. For the second estimator, a neural network which uses the charge distribution in annuli around the core and other variables, these values are ϕo\phi_o=(2.31±\pm0.020.17+0.32^{+0.32}_{-0.17})×\times1013^{-13} (TeV cm2^2 s)1^{-1}, α\alpha=2.73±\pm0.020.02+0.03^{+0.03}_{-0.02}, and β\beta=0.06±\pm0.01±\pm0.02. The first set of uncertainties are statistical; the second set are systematic. Both methods yield compatible results. These measurements are the highest-energy observation of a gamma-ray source to date.Comment: published in Ap

    Process evaluation in the field: global learnings from seven implementation research hypertension projects in low-and middle-income countries

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    Background Process evaluation is increasingly recognized as an important component of effective implementation research and yet, there has been surprisingly little work to understand what constitutes best practice. Researchers use different methodologies describing causal pathways and understanding barriers and facilitators to implementation of interventions in diverse contexts and settings. We report on challenges and lessons learned from undertaking process evaluation of seven hypertension intervention trials funded through the Global Alliance of Chronic Diseases (GACD). Methods Preliminary data collected from the GACD hypertension teams in 2015 were used to inform a template for data collection. Case study themes included: (1) description of the intervention, (2) objectives of the process evaluation, (3) methods including theoretical basis, (4) main findings of the study and the process evaluation, (5) implications for the project, policy and research practice and (6) lessons for future process evaluations. The information was summarized and reported descriptively and narratively and key lessons were identified. Results The case studies were from low- and middle-income countries and Indigenous communities in Canada. They were implementation research projects with intervention arm. Six theoretical approaches were used but most comprised of mixed-methods approaches. Each of the process evaluations generated findings on whether interventions were implemented with fidelity, the extent of capacity building, contextual factors and the extent to which relationships between researchers and community impacted on intervention implementation. The most important learning was that although process evaluation is time consuming, it enhances understanding of factors affecting implementation of complex interventions. The research highlighted the need to initiate process evaluations early on in the project, to help guide design of the intervention; and the importance of effective communication between researchers responsible for trial implementation, process evaluation and outcome evaluation. Conclusion This research demonstrates the important role of process evaluation in understanding implementation process of complex interventions. This can help to highlight a broad range of system requirements such as new policies and capacity building to support implementation. Process evaluation is crucial in understanding contextual factors that may impact intervention implementation which is important in considering whether or not the intervention can be translated to other contexts

    Using WormBase: A Genome Biology Resource for Caenorhabditis elegans and Related Nematodes

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    WormBase (www.wormbase.org) provides the nematode research community with a centralized database for information pertaining to nematode genes and genomes. As more nematode genome sequences are becoming available and as richer data sets are published, WormBase strives to maintain updated information, displays, and services to facilitate efficient access to and understanding of the knowledge generated by the published nematode genetics literature. This chapter aims to provide an explanation of how to use basic features of WormBase, new features, and some commonly used tools and data queries. Explanations of the curated data and step-by-step instructions of how to access the data via the WormBase website and available data mining tools are provided

    What Do Community Benefits Agreements Deliver? Evidence From Los Angeles

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    Problem, research strategy, and findings: Advocates of community benefits agreements (CBAs) between coalitions of nongovernmental organizations (NGOs) and real estate developers contend that CBAs promote public accountability and responsiveness to community concerns. This study assesses the Los Angeles Sports and Entertainment District (LASED) CBA, which scholars and practitioners have described as a model for such agreements. I assess compliance with key provisions of the agreement related to jobs, affordable housing, and parks and recreational facilities. I also assess whether compliance with these provisions has yielded benefits beyond those required under existing laws and regulations. I find that the parties to the agreement have technically complied with many, although arguably not all, of its provisions. But some of the provisions in the CBA are not legally binding, other provisions overlap with requirements that the developer would have had to satisfy even without the CBA, and some reports required by the CBA are unavailable. As a result, outcomes such as living wage jobs and funding for affordable housing units are not clearly attributable to the CBA; other outcomes, such as targeted hiring, are unknown due to a lack of relevant information.Takeaway for practice: Although CBAs may not fulfill all the claims that advocates make on their behalf, they can play important roles in community development by directing public and private spending to underserved neighborhoods. But collecting and verifying the relevant data may be challenging, even if reporting requirements are clearly spelled out in the CBA. As the complexity of a CBA increases, so do the challenges of assessing outcomes and assigning responsibility for those outcomes

    Gamma/Hadron Separation with the HAWC Observatory

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    The High Altitude Water Cherenkov (HAWC) gamma-ray observatory observesatmospheric showers produced by incident gamma rays and cosmic rays with energyfrom 300 GeV to more than 100 TeV. A crucial phase in analyzing gamma-raysources using ground-based gamma-ray detectors like HAWC is to identify theshowers produced by gamma rays or hadrons. The HAWC observatory records roughly25,000 events per second, with hadrons representing the vast majority(>99.9%>99.9\%) of these events. The standard gamma/hadron separation technique inHAWC uses a simple rectangular cut involving only two parameters. This workdescribes the implementation of more sophisticated gamma/hadron separationtechniques, via machine learning methods (boosted decision trees and neuralnetworks), and summarizes the resulting improvements in gamma/hadron separationobtained in HAWC.<br

    HAWC and Fermi-LAT Detection of Extended Emission from the Unidentified Source 2HWC J2006+341

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    The discovery of the TeV point source 2HWC J2006+341 was reported in the second HAWC gamma-ray catalog. We present a follow-up study of this source here. The TeV emission is best described by an extended source with a soft spectrum. At GeV energies, an extended source is significantly detected in Fermi-LAT data. The matching locations, sizes and spectra suggest that both gamma-ray detections correspond to the same source. Different scenarios for the origin of the emission are considered and we rule out an association to the pulsar PSR J2004+3429 due to extreme energetics required, if located at a distance of 10.8 kpc.Comment: 12 pages, 2 figures. To appear in ApJ

    Horizontal muon track identification with neural networks in HAWC

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    Nowadays the implementation of artificial neural networks in high-energyphysics has obtained excellent results on improving signal detection. In thiswork we propose to use neural networks (NNs) for event discrimination in HAWC.This observatory is a water Cherenkov gamma-ray detector that in recent yearshas implemented algorithms to identify horizontal muon tracks. However, thesealgorithms are not very efficient. In this work we describe the implementationof three NNs: two based on image classification and one based on objectdetection. Using these algorithms we obtain an increase in the number ofidentified tracks. The results of this study could be used in the future toimprove the performance of the Earth-skimming technique for the indirectmeasurement of neutrinos with HAWC.<br

    Multiple Galactic Sources with Emission Above 56 TeV Detected by HAWC

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    We present the first catalog of gamma-ray sources emitting above 56 and 100 TeV with data from the High Altitude Water Cherenkov (HAWC) Observatory, a wide field-of-view observatory capable of detecting gamma rays up to a few hundred TeV. Nine sources are observed above 56 TeV, all of which are likely Galactic in origin. Three sources continue emitting past 100 TeV, making this the highest-energy gamma-ray source catalog to date. We report the integral flux of each of these objects. We also report spectra for three highest-energy sources and discuss the possibility that they are PeVatrons.Comment: Accepted by Physical Review Letter

    A Contribution of the HAWC Observatory to the TeV era in the High Energy Gamma-Ray Astrophysics: The case of the TeV-Halos

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    We present a short overview of the TeV-Halos objects as a discovery and a relevant contribution of the High Altitude Water \v{C}erenkov (HAWC) observatory to TeV astrophysics. We discuss history, discovery, knowledge, and the next step through a new and more detailed analysis than the original study in 2017. TeV-Halos will contribute to resolving the problem of the local positron excess observed on the Earth. To clarify the latter, understanding the diffusion process is mandatory.Comment: Work presented in the 21st International Symposium on Very High Energy Cosmic Ray Interactions(ISVHECRI 2022) as part of the Ph. D. Thesis of Ramiro Torres-Escobedo (SJTU, Shanghai, China). Accepted for publication in SciPost Physics Proceedings (ISSN 2666-4003). 11 pages, 3 Figures. Short overview of HAWC and TeV Halos objects until 202
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