Solar Wind properties measured with instruments on the Advanced Composition Explorer (ACE)

Combined ACE/SWEPAM, ACE/Mag, and ACE/SWICS data set
ACE/MAG and ACE/SWEPAM data are taken from the ACE Science center (https://izw1.caltech.edu/ACE/ASC/) and binned to the 12-minute time resolution of SWICS.
The SWICS data is based on the PHA data and analyzed as described in Berger (2008).
This data set is used in the following two publications:
Teichmann, S. Heidrich-Meisner, V, Berger, L, Wimmer-Schweingruber, R.F. (2023, submitted), "Influence of solar wind parameters on unsupervised solar wind classification with k-means" source code available: 10.5281/zenodo.7695074
Hecht, M, Heidrich-Meisner, V, Berger, L, Wimmer-Schweingruber, R.F. 2023 (in preparation) "Scope and limitations of ad-hoc neural network reconstructions of solar wind parameters", source code available: 10.5281/zenodo.7681047.

Contact: Verena Heidrich-Meisner, CAU Kiel heidrich@physik.uni-kiel.de

We thank the science teams of  ACE/SWEPAM, ACE/MAG as well as
ACE/SWICS for developing, maintaining and calibrating the instruments and for providing the respective level 2 and level 1 data products.
This work was supported by the Deutsches Zentrum für Luft- und Raumfahrt (DLR) as SOHO/CELIAS 50 OC 2104.

Data products description:
year: year of observation (int)
time: day of year in current year as float
yeartime: time in years as float (UTC)
vsw: solar wind proton speed in km/s, measured by ACE/SWEPAM (level 2 from ACE Science Center) and rebinned to 12 minute time resolution
dsw: solar wind proton density in cm^{-3}, measured by ACE/SWEPAM (level 2 from ACE Science Center)and rebinned to 12 minute time resolution
tsw: solar wind proton temperature in K, measured by ACE/SWEPAM (level 2 from ACE Science Center) and rebinned to 12 minute time resolution
B: magnetic feld strength in nT, measured by ACE/MAG (level 2 from ACE Science Center)
colage: proton-proton collisional age computed as 6.4* 1e8 * dsw /(vsw* tsw**(3/2)) in K^{3/2} s^2 cm^3 km^{-1}
dO7_6: ratio of the O7+ to O6+ charge state densities, measured by ACE/SWICS, derived directly from PHA (pulse height analysis) data
eO7_6: estimate of the relative error of dO7_6 based on the counting statistics
ldO7_6: decadic logarithm of dO7_6
elO7_6: estimate of the relative error of the decadic logarithm dO7_6 based on the counting statistics
mcsFe: mean charge state of Fe, based on SWICS PHA of Fe8+, Fe9+, Fe10+, Fe11+, and Fe12+ in units of the elementary charge e. At least 10 counts distributed over Fe8+, Fe9+, Fe10+, Fe11+ and Fe12+ are required
emcsFe: estimate of the relative error of dO7_the mean Fe charge state in e (assumes 10% relative error for each Fe charge state)
cor_hole: coronal hole wind category in the categorization of Xu&Borovsky (2015) The ejecta category is disregarded, see for example Heidrich-Meisner (2020). Entries are 0 or 1, 1 of the data point is assigned to this type.
sec_rev: sector reversal plasma  wind category in the categorization of Xu&Borovsky (2015) The ejecta category is disregarded, see for example Heidrich-Meisner (2020). Entries are 0 or 1, 1 of the data point is assigned to this type.
stream_belt: streamer belt wind category in the categorization of Xu&Borovsky (2015) The ejecta category is disregarded, see for example Heidrich-Meisner (2020). Entries are 0 or 1, 1 of the data point is assigned to this type.
ICME: interplanatery coronal mass ejections time periods (with a six hour safety margin before and after each ICME) from the Jian (2006,2011) and Richardson & Cane (2014, 2018) ICME lists. Entries are 0 or 1, 1 of the data point is assigned to this type.
totalCountsFe: number of counts in ACE/SWICS distributed over Fe8+-Fe12+
The data set is restricted to data points where valid data points are available for all listed data products. Only for the mean charge state of Fe invalid data points are indicated with nan (not a number)

References:
Berger, L. 2008, PhD thesis, Kiel, Christian-Albrechts-Universität, Diss., 2008
Gloeckler, G., Cain, J., Ipavich, F., et al. 1998, in The Advanced Composition Explorer Mission (Springer), 497–539
McComas, D., Bame, S., Barker, P., et al. 1998b, in The Advanced Composition Explorer Mission (Springer), 563–612
Smith, C. W., L’Heureux, J., Ness, N. F., et al. 1998, in The Advanced Composition Explorer Mission (Springer), 613–632

Xu, F. & Borovsky, J. E. 2015, Journal of Geophysical Research: Space Physics, 120, 70
Heidrich-Meisner, V., Berger, L., & Wimmer-Schweingruber, R. F. 2020, Astronomy & Astrophysics, 636, A103
Jian, L., Russell, C., & Luhmann, J. 2011, Solar Physics, 274, 321
Jian, L., Russell, C., Luhmann, J., & Skoug, R. 2006, Solar Physics, 239, 393
Richardson, I. G. 2004, Space Science Reviews, 111, 267
Richardson, I. G. 2018, Living reviews in solar physics, 15, 1

Teichmann, S. Heidrich-Meisner, V, Berger, L, Wimmer-Schweingruber, R.F. (2023), "Influence of solar wind parameters on unsupervised solar wind classification with k-means" source code available: 10.5281/zenodo.7695074
Hecht, M, Heidrich-Meisner, V, Berger, L, Wimmer-Schweingruber, R.F. 2023 (in preparation) "Scope and limitations of ad-hoc neural network reconstructions of solar wind parameters", source code available: 10.5281/zenodo.7681047.

year/1    time/day of year    yeartime/UTC    vsw/km/s    dsw/cm^{-3}    tsw/K    B/nT    colage/(K^{3/2} s^2 cm^3 km^{-1})    dO7_6/1    eO7_6/1    ldO7_6/1    elO7_6/1    mcsFe/e    emcsFe/e    cor_hole/bool    sec_rev/bool    stream_belt/bool    ICME/bool    totalCountsFe/1