Describing the application of Faraday synthesis to the calibrated CHIME data to create maps of integrated polarized intensity and peak Faraday depthDescribing the application of Faraday synthesis to the calibrated CHIME data to create maps of integrated polarized intensity and peak Faraday depth

Calibration of Radio Polarization Data: Enhancing Correlation Between CHIME and Dwingeloo Surveys

2025/10/09 00:15

Abstract and 1 Introduction

  1. Faraday Rotation and Faraday Synthesis

  2. Dara & Instruments

    3.1. CHIME and GMIMS surveys and 3.2. CHIME/GMIMS Low Band North

    3.3. DRAO Synthesis Telescope Observations

    3.4. Ancillary Data Sources

  3. Features of the Tadpole

    4.1. Morphology in single-frequency images

    4.2. Faraday depths

    4.3. Faraday complexity

    4.4. QU fitting

    4.5. Artifacts

  4. The Origin of the Tadpole

    5.1. Neutral Hydrogen Structure

    5.2. Ionized Hydrogen Structure

    5.3. Proper Motions of Candidate Stars

    5.4. Faraday depth and electron column

  5. Summary and Future Prospects

\ APPENDIX

A. RESOLVED AND UNRESOLVED FARADAY COMPONENTS IN FARADAY SYNTHESIS

B. QU FITTING RESULTS

\ REFERENCES

3.1. CHIME and GMIMS surveys

3.2. CHIME/GMIMS Low Band North

\

\ The ringmaps we use do not have beam deconvolution applied. There are small artifacts in the image resulting from this which we describe in Section 4.5, however, their presence is not detrimental to studying structures on the scale of several degrees, such as the tadpole. In this analysis, we use the 400 − 729 MHz subset of the full CHIME band, as the highest frequencies are contaminated by aliasing, which makes the maps unreliable in the region of interest.

\ 3.2.1. Polarization angle calibration

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\ Stokes U and V are measured from the crosscorrelation products. We assume that ⟨V ⟩ = 0 from the sky in diffuse emission because synchrotron emission in low-density astrophysical environments does not produce circular polarization. Leakage between V and U arises from phase offsets. We measure a mean phase shift ⟨ψ⟩(δ, ν) at each declination and frequency assuming that ⟨V ⟩ = 0 and calculate

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\ The ⟨V ⟩ = 0 assumption leads to high-quality fits even in fast radio burst (FRB) observations, where the assumption has less clear physical justification than in the diffuse polarized emission we investigate (Mckinven et al. 2023). We find that the phase shift is linear in frequency, consistent with a cable delay τ = ⟨ψ⟩/2πν ∼ 1 ns for the diffuse emission, as Mckinven et al. (2021, their Appendix A) found in CHIME/FRB data.

\ In Figure 1, we compare the calibrated data to the Dwingeloo telescope survey at 610 MHz in the Fan region (Brouw & Spoelstra 1976). There is a strong correlation between Dwingeloo U and CHIME U and Dwingeloo Q and CHIME Q in those directions for which there is Dwingeloo data, with correlation coefficient R values of 0.91 for U − U and 0.89 for Q − Q comparisons. This is a significant improvement from the uncalibrated correlation coefficients of 0.76 and 0.59 respectively. We find a remaining leakage of up to 20% in Stokes Q based on unresolved point source measurements. Using the mean orthogonal distance between each point and the fitted line, we find that noise from CHIME and Dwingeloo data describe ≈ 70% of the scatter in Figure 1. The polarization angle correlation, also shown in Figure 1, is also improved through calibration, and most outliers are points with low polarized intensity (yellow dots), where the uncertainty in derived χ is high.

\ We show the resulting CHIME Q and U maps, with the χ = 0 reference axis rotated to the north Galactic pole, in Figure 2. While Stokes I to Q leakage does exist in our data, the tadpole structure cannot simply be the result of leakage. Although there is total intensity emission over the entire Fan Region, including the tadpole, this emission is featureless on small scales and thus cannot produce spurious polarization matching the tadpole in morphology. Furthermore, the tadpole cannot be the product of Stokes I emission originating at large angular distances (such as the Galactic plane) and seen in far sidelobes. While the far sidelobes have poor polarization properties, their polarization averages to low values over sizable areas. Moreover, with linear feeds, leakage from I is primarily into Q, not U (in the native equatorial coordinates of CHIME), but the tadpole is already evident in Stokes U in equatorial coordinates (not shown).

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\ 3.2.2. Faraday synthesis on CHIME data

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\ Using the rmtools_peakfitcube algorithm in RM-Tools, we obtain the peak Faraday depth and its

\ Figure 2. Images of the tadpole region in Stokes Q and U at 614 MHz in Galactic coordinates. The ‘×’ markers indicate the position of B2(e) star HD 20336 (the × near the center of the circular tadpole head) as well as the selected spectra shown in Figure 7. The thin black line represents the Local Standard of Rest (LSR)-corrected proper motion of HD 20336, projected backwards in time over 3 Myr, with each dot representing 1 Myr. The translucent lines represent the error cone, which is dominated by the uncertainty in the LSR correction.

\ associated error for every spectrum along all lines of sight. The resulting map is shown in Figure 3b. We use peak Faraday depths rather than a first moment (Dickey et al. 2019) to focus on the Faraday depth of the brightest feature in each LOS rather than a weighted mean Faraday depth in Faraday complex regions.

\ We show the integrated polarized intensity across the Faraday depth spectra as a zero moment map in Figure 3a. A polarization angle map derotated to χ0 by the peak Faraday depth at each pixel is shown in Figure 3c.

\

:::info Authors:

(1) Nasser Mohammed, Department of Computer Science, Math, Physics, & Statistics, University of British Columbia, Okanagan Campus, Kelowna, BC V1V 1V7, Canada and Dominion Radio Astrophysical Observatory, Herzberg Research Centre for Astronomy and Astrophysics, National Research Council Canada, PO Box 248, Penticton, BC V2A 6J9, Canada;

(2) Anna Ordog, Department of Computer Science, Math, Physics, & Statistics, University of British Columbia, Okanagan Campus, Kelowna, BC V1V 1V7, Canada and Dominion Radio Astrophysical Observatory, Herzberg Research Centre for Astronomy and Astrophysics, National Research Council Canada, PO Box 248, Penticton, BC V2A 6J9, Canada;

(3) Rebecca A. Booth, Department of Physics and Astronomy, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada;

(4) Andrea Bracco, INAF – Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125 Firenze, Italy and Laboratoire de Physique de l’Ecole Normale Superieure, ENS, Universit´e PSL, CNRS, Sorbonne Universite, Universite de Paris, F-75005 Paris, France;

(5) Jo-Anne C. Brown, Department of Physics and Astronomy, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada;

(6) Ettore Carretti, INAF-Istituto di Radioastronomia, Via Gobetti 101, 40129 Bologna, Italy;

(7) John M. Dickey, School of Natural Sciences, University of Tasmania, Hobart, Tas 7000 Australia;

(8) Simon Foreman, Department of Physics, Arizona State University, Tempe, AZ 85287, USA;

(9) Mark Halpern, Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 Canada;

(10) Marijke Haverkorn, Department of Astrophysics/IMAPP, Radboud University, PO Box 9010, 6500 GL Nijmegen, The Netherlands;

(11) Alex S. Hill, Department of Computer Science, Math, Physics, & Statistics, University of British Columbia, Okanagan Campus, Kelowna, BC V1V 1V7, Canada and Dominion Radio Astrophysical Observatory, Herzberg Research Centre for Astronomy and Astrophysics, National Research Council Canada, PO Box 248, Penticton, BC V2A 6J9, Canada;

(12) Gary Hinshaw, Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 Canada;

(13) Joseph W. Kania, Department of Physics and Astronomy, West Virginia University, P.O. Box 6315, Morgantown, WV 26506, USA and Center for Gravitational Waves and Cosmology, West Virginia University, Chestnut Ridge Research Building, Morgantown, WV 26505, USA;

(14) Roland Kothes, Dominion Radio Astrophysical Observatory, Herzberg Research Centre for Astronomy and Astrophysics, National Research Council Canada, PO Box 248, Penticton, BC V2A 6J9, Canada;

(15) T.L. Landecker, Dominion Radio Astrophysical Observatory, Herzberg Research Centre for Astronomy and Astrophysics, National Research Council Canada, PO Box 248, Penticton, BC V2A 6J9, Canada;

(16) Joshua MacEachern, Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 Canada;

(17) Kiyoshi W. Masui, MIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA and Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA;

(18) Aimee Menard, Department of Computer Science, Math, Physics, & Statistics, University of British Columbia, Okanagan Campus, Kelowna, BC V1V 1V7, Canada and Dominion Radio Astrophysical Observatory, Herzberg Research Centre for Astronomy and Astrophysics, National Research Council Canada, PO Box 248, Penticton, BC V2A 6J9, Canada;

(19) Ryan R. Ransom, Dominion Radio Astrophysical Observatory, Herzberg Research Centre for Astronomy and Astrophysics, National Research Council Canada, PO Box 248, Penticton, BC V2A 6J9, Canada and Department of Physics and Astronomy, Okanagan College, Kelowna, BC V1Y 4X8, Canada;

(20) Wolfgang Reich, Max-Planck-Institut fur Radioastronomie, Auf dem Hugel 69, 53121 Bonn, Germany;(21) Patricia Reich, 16

(22) J. Richard Shaw, Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 Canada

(23) Seth R. Siegel, Perimeter Institute for Theoretical Physics, 31 Caroline Street N, Waterloo, ON N25 2YL, Canada, Department of Physics, McGill University, 3600 rue University, Montreal, QC H3A 2T8, Canada, and Trottier Space Institute, McGill University, 3550 rue University, Montreal, QC H3A 2A7, Canada;

(24) Mehrnoosh Tahani, Banting and KIPAC Fellowships: Kavli Institute for Particle Astrophysics & Cosmology (KIPAC), Stanford University, Stanford, CA 94305, USA;

(25) Alec J. M. Thomson, ATNF, CSIRO Space & Astronomy, Bentley, WA, Australia;

(26) Tristan Pinsonneault-Marotte, Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 Canada;

(27) Haochen Wang, MIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA and Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA;

(28) Jennifer L. West, Dominion Radio Astrophysical Observatory, Herzberg Research Centre for Astronomy and Astrophysics, National Research Council Canada, PO Box 248, Penticton, BC V2A 6J9, Canada;

(29) Maik Wolleben, Skaha Remote Sensing Ltd., 3165 Juniper Drive, Naramata, BC V0H 1N0, Canada.

:::


:::info This paper is available on arxiv under CC BY 4.0 DEED license.

:::

\

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Akash Network’s Strategic Move: A Crucial Burn for AKT’s Future

Akash Network’s Strategic Move: A Crucial Burn for AKT’s Future

BitcoinWorld Akash Network’s Strategic Move: A Crucial Burn for AKT’s Future In the dynamic world of decentralized computing, exciting developments are constantly shaping the future. Today, all eyes are on Akash Network, the innovative supercloud project, as it proposes a significant change to its tokenomics. This move aims to strengthen the value of its native token, AKT, and further solidify its position in the competitive blockchain space. The community is buzzing about a newly submitted governance proposal that could introduce a game-changing Burn Mint Equilibrium (BME) model. What is the Burn Mint Equilibrium (BME) for Akash Network? The core of this proposal revolves around a concept called Burn Mint Equilibrium, or BME. Essentially, this model is designed to create a balance in the token’s circulating supply by systematically removing a portion of tokens from existence. 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Token burning mechanisms are often viewed as a positive development because they can lead to increased scarcity. When supply decreases while demand remains constant or grows, the price per unit tends to increase. Here are some key benefits: Increased Scarcity: Burning tokens reduces the total circulating supply of AKT. This makes each remaining token potentially more valuable over time. Demand-Supply Dynamics: The BME model directly ties the burning of AKT to network usage. Higher adoption of the Akash Network supercloud translates into more fees, and thus more AKT burned. Long-Term Value Proposition: By creating a deflationary pressure, the proposal aims to enhance AKT’s long-term value, making it a more attractive asset for investors and long-term holders. This strategic move demonstrates a commitment from the Akash Network community to optimize its tokenomics for sustainable growth and value appreciation. How Does BME Impact the Decentralized Supercloud Mission? Beyond token value, the BME proposal aligns perfectly with the broader mission of the Akash Network. As a decentralized supercloud, Akash provides a marketplace for cloud computing resources, allowing users to deploy applications faster, more efficiently, and at a lower cost than traditional providers. The BME model reinforces this utility. Consider these impacts: Network Health: A stronger AKT token can incentivize more validators and providers to secure and contribute resources to the network, improving its overall health and resilience. Ecosystem Growth: Enhanced token value can attract more developers and projects to build on the Akash Network, fostering a vibrant and diverse ecosystem. User Incentive: While users pay fees, the potential appreciation of AKT could indirectly benefit those who hold the token, creating a circular economy within the supercloud. This proposal is not just about burning tokens; it’s about building a more robust, self-sustaining, and economically sound decentralized cloud infrastructure for the future. What Are the Next Steps for the Akash Network Community? As a governance proposal, the BME model will now undergo a period of community discussion and voting. This is a crucial phase where AKT holders and network participants can voice their opinions, debate the merits, and ultimately decide on the future direction of the project. Transparency and community engagement are hallmarks of decentralized projects like Akash Network. Challenges and Considerations: Implementation Complexity: Ensuring the burning mechanism is technically sound and transparent will be vital. Community Consensus: Achieving broad agreement within the diverse Akash Network community is key for successful adoption. The outcome of this vote will significantly shape the tokenomics and economic model of the Akash Network, influencing its trajectory in the rapidly evolving decentralized cloud landscape. The proposal to introduce a Burn Mint Equilibrium model represents a bold and strategic step for Akash Network. By directly linking network usage to token scarcity, the project aims to create a more resilient and valuable AKT token, ultimately strengthening its position as a leading decentralized supercloud provider. This move underscores the project’s commitment to innovative tokenomics and sustainable growth, promising an exciting future for both users and investors in the Akash Network ecosystem. It’s a clear signal that Akash is actively working to enhance its value proposition and maintain its competitive edge in the decentralized future. Frequently Asked Questions (FAQs) 1. What is the main goal of the Burn Mint Equilibrium (BME) proposal for Akash Network? The primary goal is to adjust the circulating supply of AKT tokens by burning a portion of network fees, thereby creating deflationary pressure and potentially enhancing the token’s long-term value and scarcity. 2. How will the amount of AKT to be burned be determined? The proposal suggests burning an amount of AKT equivalent to the U.S. dollar value of fees paid by users on the Akash Network for cloud services. 3. What are the potential benefits for AKT token holders? Token holders could benefit from increased scarcity of AKT, which may lead to higher demand and appreciation in value over time, especially as network usage grows. 4. How does this proposal relate to the overall mission of Akash Network? The BME model reinforces the Akash Network‘s mission by creating a stronger, more economically robust ecosystem. A healthier token incentivizes network participants, fostering growth and stability for the decentralized supercloud. 5. What is the next step for this governance proposal? The proposal will undergo a period of community discussion and voting by AKT token holders. The community’s decision will determine if the BME model is implemented on the Akash Network. If you found this article insightful, consider sharing it with your network! Your support helps us bring more valuable insights into the world of decentralized technology. Stay informed and help spread the word about the exciting developments happening within Akash Network. To learn more about the latest crypto market trends, explore our article on key developments shaping decentralized cloud solutions price action. This post Akash Network’s Strategic Move: A Crucial Burn for AKT’s Future first appeared on BitcoinWorld.
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