Tools
Tools
Madison, D. R., Cordes, J. M., Arzoumanian, Z., Chatterjee, S., Crowter, K., Decesar, M. E., Demorest, P. B., Dolch, T., Ellis, J. A., Ferdman, R. D. 
ORCID: https://orcid.org/0000-0002-2223-1235, Ferrara, E. C., Fonseca, E., Gentile, P. A., Jones, G., Jones, M. L., Lam, M. T., Levin, L., Lorimer, D. R., Lynch, R. S., McLaughlin, M. A., Mingarelli, C. M.F., Ng, C., Nice, D. J., Pennucci, T. T., Ransom, S. M., Ray, P. S., Spiewak, R., Stairs, I. H., Stovall, K., Swiggum, J. K. and Zhu, W. W.
(2019)
The NANOGrav 11 yr data set: Solar wind sounding through pulsar timing.
Astrophysical Journal, 872 (2).
ISSN 0004-637X
Abstract
The North American Nanohertz Observatory for Gravitational Waves (NANOGrav) has observed dozens of millisecond pulsars for over a decade. We have accrued a large collection of dispersion measure (DM) measurements sensitive to the total electron content between Earth and the pulsars at each observation. All lines of sight cross through the solar wind (SW), which produces correlated DM fluctuations in all pulsars. We develop and apply techniques for extracting the imprint of the SW from the full collection of DM measurements in the recently released NANOGrav 11 yr data set. We filter out long-timescale DM fluctuations attributable to structure in the interstellar medium and carry out a simultaneous analysis of all pulsars in our sample that can differentiate the correlated signature of the wind from signals unique to individual lines of sight. When treating the SW as spherically symmetric and constant in time, we find the electron number density at 1 au to be 7.9 ±0.2 cm -3 . We find our data to be insensitive to long-term variation in the density of the wind. We argue that our techniques paired with a high-cadence, low-radio-frequency observing campaign of near-ecliptic pulsars would be capable of mapping out large-scale latitudinal structure in the wind.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ism: structure,pulsars: general,solar wind,astronomy and astrophysics,space and planetary science ,/dk/atira/pure/subjectarea/asjc/3100/3103 |
| Faculty \ School: | Faculty of Science > School of Chemistry (former - to 2024) |
| UEA Research Groups: | Faculty of Science > Research Groups > Quantum Matter Faculty of Science > Research Groups > Numerical Simulation, Statistics & Data Science |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 13 Jun 2019 13:30 |
| Last Modified: | 07 Nov 2024 12:41 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/71388 |
| DOI: | 10.3847/1538-4357/ab01fd |
Actions (login required)
 |
View Item |