Skip to content
Snippets Groups Projects
Commit 77a8fba8 authored by Stefano Scardigli's avatar Stefano Scardigli
Browse files

Updating wiki files, with added new products.

parent c463ae03
No related branches found
No related tags found
1 merge request!7Updating wiki files, with added new products.
Pipeline #18072 passed
Showing
with 884 additions and 0 deletions
docs/source/assets/images/logo_ASPIS_prtscrn.png

69.2 KiB

=========================================
INAF SuperDARN Cross Polar Cap Potential
=========================================
.. contents:: The tiny table of contents
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
SuperDARN maximum potential difference measured across the polar caps.
**Providers**:
- **SupeDARN radars British Antarctic Survey repository** - sources:
- https://www.bas.ac.uk/project/superdarn/
-
-
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-05-04T16:00:00+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: timeseries
| **Data formats**: - ASCII
| **Sample**: SuperDARN_CPCP
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- 2320.2 meta data mapping: meta data mapping (MANCA NELLA TENDINA)
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF SuperDARN Convection Maps (data)
=========================================
.. contents:: The tiny table of contents
Ionospheric convection maps at high latitudes in both hemispheres derived from the raw SuperDARN data retrieved from the BAS repository.
**Providers**:
- **SupeDARN radars British Antarctic Survey repository** - sources:
- https://www.bas.ac.uk/project/superdarn/
-
-
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-05-04T16:00:00+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: image
| **Data formats**: - PNG
| **Sample**: SuperDARN_Maps_data
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- 2320.2 meta data mapping: meta data mapping (MANCA NELLA TENDINA)
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF Solar Orbiter-PAS data
=========================================
.. contents:: The tiny table of contents
The product contains density N, speed vector V, pressure tensor P, temperature components (Tx, Ty, Tz), and the velocity of the satellite V_solo, computed using the data collected by the Proton-Alpha Sensor (PAS) onboard Solar Orbiter.
PAS measures the 3D distribution functions of the dominant ions of the solar wind, from 200 eV to 20 KeV, without mass and charge selection. In practice, this concerns mostly the proton and alfa populations (unseparated). At full resolution, PAS collects the 3D ion distribution function in about 1 second, even though the moments have a cadence of 4 seconds, while in “snapshot” mode the phase space sampling is reduced, allowing a greater cadence for the moments.
Data is hosted on http://soar.esac.esa.int/soar/
**References**
R. D’Amicis et al, Astronomy &Astrophysics 656, A21 (2021)
B. Lavraud et al, Astronomy &Astrophysics 656, A37 (2021)
D. Perrone et al, Astronomy &Astrophysics 668, A189 (2022)
R. De Marco et al, Astronomy &Astrophysics, 669, A108 (2023)
**Providers**:
- **Solar Orbiter** - source:
- SWA-PAS
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-20T19:10:47+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: timeseries
| **Data formats**: - cdf
| **Sample**: https://drive.google.com/file/d/1X_6RZeN72zjR11g2DYNoMTr6DP6vDg_t/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2130.3: Mirroring: bulk static
- int2320.1: Data conversion
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
- 2330.1: wiki
- 2320.2: metadata mapping
- SAMP: Sul Solar Orbiter ARchive questi dati possono essere condivisi via SAMP
=========================================
INAF Montecarlo, single particle exospheric model of Mercury
=========================================
.. contents:: The tiny table of contents
The model is based on the code by Mura et al., described in doi:10.1016/j.icarus.2008.11.014, doi:10.1016/j.pss.2006.11.028 and integrated in doi: 10.1016/j.pss.2011.08.012
**Providers**:
INAF
| **Product Type**: software
| **Status**: Active
| **Creation date**: 2022-05-10T16:05:00+02:00
| **Last Update**: 2022-05-10T04:10:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: ND
| **Data formats**: ND
| **Sample**: ND
Capabilities
~~~~~~~~~~~~
- ext2220.5: On demand computation
=========================================
INAF SVIRCO neutron monitor (1h)
=========================================
.. contents:: The tiny table of contents
Intensity in percent of cosmic ray secondary nucleonic component of Rome neutron monitor. Data corrected for pressure with barometric coefficient variable with solar cycle and corrected for efficiency changes.
Resolution: 1h.
Average intensity of January-February 1997 = 100%
**Providers**:
- **SVIRCO neutron monitor**
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-28T13:31:08+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: timeseries
| **Data formats**: - ASCII
| **Sample**: https://drive.google.com/file/d/17ahUkpirH-DUWnqBr731ExAgjMBGNeJ4/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.3: Mirroring: bulk static
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF SVIRCO neutron monitor (1m)
=========================================
.. contents:: The tiny table of contents
Intensity in percent of cosmic ray secondary nucleonic component of Rome neutron monitor. Data corrected for pressure with barometric coefficient variable with solar cycle and corrected for efficiency changes. Resolution: 1min
Average intensity of January-February 1997 = 100%
**Providers**:
- **SVIRCO neutron monitor**
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-28T13:31:08+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: image
| **Data formats**: - ASCII
| **Sample**: ND
Capabilities
~~~~~~~~~~~~
- int2130.3: Mirroring: bulk static
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF SVIRCO neutron monitor (5m)
=========================================
.. contents:: The tiny table of contents
Intensity in percent of cosmic ray secondary nucleonic component of Rome neutron monitor. Data corrected for pressure with barometric coefficient variable with solar cycle and corrected for efficiency changes. Resolution: 5min
Average intensity of January-February 1997 = 100%
**Providers**:
- **SVIRCO neutron monitor**
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-28T13:31:08+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: image
| **Data formats**: - ASCII
| **Sample**: https://drive.google.com/file/d/1U4o3cRHggf7_9f8V_qCVvgRt0RufDxIw/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF Testa Grigia neutron monitor data
=========================================
.. contents:: The tiny table of contents
Counting rate of the neutron monitor operating at the Testa Grigia Station (3480 m, Cervinia, Italy). The aim is to study the cosmic ray intensity variations in correlation with solar activity and space weather phenomena.
**Providers**:
- **Testa Grigia Station** - source:
- Neutron Monitor
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-29T15:00:52+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: tableset
| **Data formats**: - text
| **Sample**: https://drive.google.com/file/d/1Y317ed51_CDLsOEVGXh05uC4WibUFXS5/view?usp=sharing
Capabilities
~~~~~~~~~~~~
ND
=========================================
INAF Grad-Shafranov Reconstruction of Magnetic Clouds
=========================================
.. contents:: The tiny table of contents
Quasi 3-d magnetic field maps of magnetic field configuration within magnetic clouds for geoeffective target SWE events. Such maps will be estimated through the Grad-Shafranov reconstruction from single-spacecraft plasma and magnetic field data.
**Providers**:
- **Wind** - sources:
- MFI
- SWE
- **Solar Orbiter** - sources:
- SWA
- MAG
- **Small Scale Magnetic Flux Rope Database** - source:
- http://fluxrope.info/
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-26T12:00:39+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: spectral-cubes
| **Data formats**: - mat
| **Sample**: https://drive.google.com/file/d/1Sij8YjsMeCS_vVwOxHzTDreAHYNy6p0r/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF > M2 SXR Flare Catalogue
=========================================
.. contents:: The tiny table of contents
The catalogue will contain the > M2 Soft X- Ray (SXR) flares from 1995 to 2017. The columns in the table are defined as follows: (1) event number; (2) date of the SXR flare; (3) peak time of SXR flare; (4) peak SXR classification (saturated events flagged with an S in which case (3) refers to the onset of saturation); (5) flare location; (6) time-integrated SXR intensity (nominally between the 1/3 power points on rise and fall); (7) time-integrated 1 MHz Wind/WAVES intensity from 10 minutes before the onset of integration for the SXR burst to 10 minutes after the SXR burst peak; (8) Waves frequency used.
**Providers**:
- **GOES** - sources:
- 1-8 Å soft X-ray flux
- http://www.ngdc.noaa.gov/stp/satellite/goes/dataaccess.html
- **Wind** - sources:
- Waves 1 MHz radio flux
- ftp://solar-radio.gsfc.nasa.gov/
| **Product Type**: lookup-table
| **Status**: Active
| **Creation date**: 2022-04-26T12:00:39+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: tableset
| **Data formats**: - xlsx
| **Sample**: https://docs.google.com/spreadsheets/d/1VU7WudVr_W81M7c8KldIwKS8-dqGXWrU/edit?usp=sharing&ouid=115498353997648557775&rtpof=true&sd=true
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF Bidimensional maps of Mercury Na exosphere
=========================================
.. contents:: The tiny table of contents
Dataset of observations of Mercury's exosphere in the sodium D lines. Data are taken from the ground-based solar telescope THEMIS (years 2009-2013). They have been produced in both D1 and D2 lines (when both available) and converted into bi-dimensional maps of Rayleigh emission. Estimation of the “seeing” parameter is included in the jpeg files. Here the original fits files are given too for the whole database (2007-2014), and it may be expanded to the most recent data from 2021 and 2022 (TBC). Data can be provided both uncalibrated and/or calibrated (TBD).
**Providers**:
- **THEMIS solar telescope **
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-29T17:15:42+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: spectral-cubes
| **Data formats**: - fts
| **Sample**: https://drive.google.com/file/d/1AFgzCjHNFMLXNNFVL9He7mBPKBE7k2E0/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
=========================================
INAF SVIRCO NM Pressure
=========================================
.. contents:: The tiny table of contents
Average of pressure from Rome neutron monitor. Resolution: 1day
**Providers**:
- **SVIRCO neutron monitor**
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-28T13:31:08+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: timeseries
| **Data formats**: - ASCII
| **Sample**: https://drive.google.com/file/d/17ahUkpirH-DUWnqBr731ExAgjMBGNeJ4/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF S1 SEP Catalogue
=========================================
.. contents:: The tiny table of contents
The catalogue contains SEP events observed at the Earth of class S1, i.e. with flux in the range [10, 100) pfu, at >10 MeV from 1995 and their properties (onset, peak flux, fluence) as well as features of the associated flare (peak time, class, location), CME (lift off, position, angle width, speed) and radio burst (occurrence of type II or IV). The SEP events having flux >= 100 pfu at > 10 MeV are listed in the companion table S2 SEP Catalogue.
**Providers**:
- **GOES** - sources:
- 1-8 Å soft X-ray flux, proton flux
- http://www.ngdc.noaa.gov/stp/satellite/goes/dataaccess.html
- **SOHO/LASCO CME Catalog** - source:
- https://cdaw.gsfc.nasa.gov/CME_list/
- **Wind** - sources:
- Waves 1 MHz radio flux
- ftp://solar-radio.gsfc.nasa.gov/
| **Product Type**: lookup-table
| **Status**: Active
| **Creation date**: 2022-04-26T12:00:39+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: tableset
| **Data formats**: - xlsx
| **Sample**: https://docs.google.com/spreadsheets/d/1leYT7LT1H0JNKZtFZMQQsm3XhNkYifJM/edit?usp=sharing&ouid=115498353997648557775&rtpof=true&sd=true
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF S2 SEP Catalogue
=========================================
.. contents:: The tiny table of contents
The catalogue contains SEP events observed at the Earth of class S2, i.e. with flux >100 pfu, at >10 MeV from 1995 and their properties (onset, peak flux, fluence) as well as features of the associated flare (peak time, class, location), CME (lift off, position, angle width, speed) and radio burst (occurrence of type II or IV). The SEP events having flux in the interval [10, 100) pfu at > 10 MeV are listed in the companion table S1 SEP Catalogue.
**Providers**:
- **GOES** - sources:
- 1-8 Å soft X-ray flux, proton flux
- http://www.ngdc.noaa.gov/stp/satellite/goes/dataaccess.html
- **SOHO/LASCO CME Catalog** - source:
- https://cdaw.gsfc.nasa.gov/CME_list/
- **Wind** - sources:
- Waves 1 MHz radio flux
- ftp://solar-radio.gsfc.nasa.gov/
| **Product Type**: lookup-table
| **Status**: Active
| **Creation date**: 2022-04-26T12:00:39+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: tableset
| **Data formats**: - xlsx
| **Sample**: https://docs.google.com/spreadsheets/d/1gCs2nKrZwW9egaU4xGTZXuerfGXkhd0b/edit?usp=sharing&ouid=115498353997648557775&rtpof=true&sd=true
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF Simulated Maps of SW Flux at the Surface of Mercury
=========================================
.. contents:: The tiny table of contents
Simulated flux maps of SW precipitating onto the surface of Mercury for a subset of IMF condition, with surface resolution of 1° (LAT/LON) and IMF binning of 5 nT (from -20 to 20 nT)
**Providers**:
Missing providers
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-05-04T16:00:00+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: image
| **Data formats**: - PNG
| **Sample**: Simulated_SW_Flux
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- 2320.2 meta data mapping: meta data mapping (MANCA NELLA TENDINA)
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
- ext 2330.1 MANCA DALLA LISTA A TENDINA: MANCA DALLA LISTA A TENDINA???
=========================================
INAF Test Particle Simulation on Magnetic Clouds
=========================================
.. contents:: The tiny table of contents
Galactic cosmic ray intensity variations associated to the passage of magnetic clouds. The particle intensity variation is estimated through a dedicated full-orbit test-particle simulation.
**Providers**:
- **Solar Modulation Parameter Table Oulu NM** - source:
- https://cosmicrays.oulu.fi/phi/phi.html
- **Grad-Shafranov reconstruction maps** - source:
- in ASPIS
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-26T12:00:39+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: spectral-cubes
| **Data formats**: - mat
| **Sample**: https://drive.google.com/file/d/1DueJgqzWtUO3-ptb1AmgaotZuIaPYEzY/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF PSP velocity-magnetic field correlation coefficient data of solar wind streams
=========================================
.. contents:: The tiny table of contents
The velocity - magnetic field (v-b) correlation coefficient unables to identify Alfvénic solar wind intervals (along with almost constant magnetic field magnitude and proton number density). It is derived as the ratio between the covariance of velocity and magnetic field (in Alfvén units) components and the product of their standard deviations, in a time window ranging between tens of minutes to hours. In principle, this formula should be applied to every component of the velocity (V_i) and magnetic fields (B_i) (with i = R, T, N in RTN coordinate system or i = X, Y, Z in GSE coordinate system). The total correlation coefficient is then derived as the average from the three components. However, for the sake of simplicity, we consider only the N component since more Alfvénic than the other two.
**Providers**:
- **Parker Solar Probe** - sources:
- Solar Wind Electrons Alphas and Protons investigation (SWEAP)
- FIELDS
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-05-06T10:39:35+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: timeseries
| **Data formats**: - ascii
| **Sample**: https://drive.google.com/file/d/1C7lxF193kgoyLwgAU_3UzE29kWigLTQ9/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- int2320.2: metadata mapping
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF SolO velocity-magnetic field correlation coefficient data of solar wind streams
=========================================
.. contents:: The tiny table of contents
The velocity - magnetic field (v-b) correlation coefficient unables to identify Alfvénic solar wind intervals (along with almost constant magnetic field magnitude and proton number density). It is derived as the ratio between the covariance of velocity and magnetic field (in Alfvén units) components and the product of their standard deviations, in a time window ranging between tens of minutes to hours. In principle, this formula should be applied to every component of the velocity (V_i) and magnetic fields (B_i) (with i = R, T, N in RTN coordinate system or i = X, Y, Z in GSE coordinate system). The total correlation coefficient is then derived as the average from the three components. However, for the sake of simplicity, we consider only the N component since more Alfvénic than the other two.
**Providers**:
- **Solar Orbiter** - sources:
- Solar Wind Analyzer - Proton and Alpha Sensor (SWA-PAS)
- Magnetometer (MAG)
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-04-29T18:38:35+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: timeseries
| **Data formats**: - ascii
| **Sample**: https://drive.google.com/file/d/1C7lxF193kgoyLwgAU_3UzE29kWigLTQ9/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- int2320.2: metadata mapping
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
=========================================
INAF Wind velocity-magnetic field correlation coefficient data of solar wind streams
=========================================
.. contents:: The tiny table of contents
The velocity - magnetic field (v-b) correlation coefficient unables to identify Alfvénic solar wind intervals (along with almost constant magnetic field magnitude and proton number density). It is derived as the ratio between the covariance of velocity and magnetic field (in Alfvén units) components and the product of their standard deviations, in a time window ranging between tens of minutes to hours. In principle, this formula should be applied to every component of the velocity (V_i) and magnetic fields (B_i) (with i = R, T, N in RTN coordinate system or i = X, Y, Z in GSE coordinate system). The total correlation coefficient is then derived as the average from the three components. However, for the sake of simplicity, we consider only the N component since more Alfvénic than the other two.
**Providers**:
- **WIND** - sources:
- 3-D Plasma and Energetic Particle Investigation (3DP)
- Magnetic Field Instrument (MFI)
| **Product Type**: data
| **Status**: Active
| **Creation date**: 2022-05-06T10:39:35+02:00
| **Last Update**: 2023-10-01T12:00:00+02:00
Data Description
~~~~~~~~~~~~~~~~
| **Data type**: timeseries
| **Data formats**: - ascii
| **Sample**: https://drive.google.com/file/d/1C7lxF193kgoyLwgAU_3UzE29kWigLTQ9/view?usp=sharing
Capabilities
~~~~~~~~~~~~
- int2130.1: Product ingestion
- int2320.1: Data conversion
- int2320.2: metadata mapping
- ext2220.1: Standard Visualisation: Web GUI
- ext2220.2: Standard Query: Web GUI
- ext2220.3: Download: Web GUI
- ext2230.1: Advanced Visualisation: ASPIS.py
- ext2230.2: Advanced Query: ASPIS.py
- ext2230.3: Download: ASPIS.py
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment