This is the web home for SPICE data for ROSETTA. For information about the mission operations, go to the ROSETTA Science Operations web. For information about the scientific data, go to the Rosetta PSA web.
ROSETTA SPICE KERNELS SET
The ESA SPICE Service (ESS), in collaboration the Rosetta SGS and the Instrument Teams, produces a SPICE Kernel Dataset (SKD) for the Rosetta mission. A complete description including naming convention and an index of the contents of the Rosetta SKD can be found in the description of the Rosetta repository.
The Rosetta SPICE Kernels dataset consists of several SPICE kernels, organised as follows:
The SKD has the following directory structure:
- root directory (named after the mission: ROSETTA)
- ck: Kernels that contain orientation for the spacecraft and some of its structures, (solar arrays, for instance).
- fk: Kernels that define reference frames needed for the Mission.
- ik: Kernels for the instruments on board the spacecraft.
- lsk: Leapseconds kernel.
- mk: Meta-kernel files (a.k.a "furnsh" files) that provide lists of kernels suitable for a given mission period in the appropiate order.
- pck: Kernels that define planetary constants.
- sclk: Spacecraft clock coefficients kernels.
- spk: Orbit kernels, for the spacecraft and other solar system bodies.
- dsk: Digital Shape kernels for extended bodies such as the comet 67P.
- release notes: Includes the Release Notes of the SKD.
- cosmo: The SPICE-enchanced configuration for the Rosetta mission.
- other: different directories of interest.
OBTAINING THE KERNELS
The complete Rosetta SPICE Kernel Dataset can be obtained from the ESA SPICE Service FTP.
In order to obtain the latest operational kernels we recommend you to download the kernels listed in the metakernel.
The latest version of the SKD's operational sub-set -including only the latest kernels listed on the metakernel- can be obtained either via:
- BitBucket Git Repository (Recommended Solution)
- Direct Download (Zip file with the latest version of the Rosetta SKD in Git)
The Release notes of the latest version of the Rosetta kernel collection can be seen here.
Origin of the kernels
Generic kernels provided by NAIF
NAIF generates kernels that are mission independent. Some of them are used by ESA missions:
- Binary and text PCK and LSK kernels.
- Some SPK kernels with ephemeris of the solar system bodies.
- SPK kernels for ground stations.
- Frames kernels for ground stations.
Other kernels provided by NAIF
NAIF collaborates with the ESA SPICE Service and the Intrument Teams to create instrument and frames kernels for the different ESA Missions:
- The instrument kernels (IK) have been developed NAIF, the intrument teams and RSSD/ESA.
- The ROSETTA frames kernel has been created by NAIF, in collaboration with RSSD/ESA.
Kernels generated with ESOC Ancillary Data
Orbit, clock and attitude kernels are created from ESOC data:
- ESOC ancillary data are the main source of information required to create SPICE kernels for attitude (CK), orbit (SPK) and time (SCLK) information for the Spacecraft.
- Also, ESOC ephemeris data are used in the creation of SPK kernels for martian satellites. See below for a more detailed explanation on how these kernels are generated.
Kernels created by the ROSETTA SGS (Science Ground Segment), alone or in collaboration with the intruments teams
- CK kernels with orientation of the ROSETTA Solar Arrays.
- CK kernels with orientation of the ROSETTA High Gain Antenna.
- RSSD frames kernel.
- PCK kernels for Steins and Lutetia.
Creation of SPK, CK and SCLK kernels from ESOC Ancillary Data
In terms of orbital data, the mission can be divided in three different phases: cruise phase, nominal phase and extended phase. The ftp repository provides the most up to date orbit kernels for ROSETTA.
Several different types of data products are provided by ESOC: ORHR, ORHO, ORHS, ORER, ORMR, ORFR, ORGR and ORWR. Please refer to the SPK repository information to a detailed description of each kernel type.
Attitude data for the spacecraft are provided for all mission phases except for safe modes, for the past and the near future. The attitude is provided in several records, called segments, each covering a specific time span. These segments have no overlap, but there may be gaps between the segments, and even gaps in the segments. The available attitude data is usually predicted, although kernels with reconstructed data are present (for time intervals for which the predicted attitude is known to be not accurate enough).
Time Correlation Data
Time Correlation is one of the most critical pieces of information needed for the use of the SPICE system within the ROSETTA mission. This information allows the conversion between the ROSETTA S/C Clock time and UTC time. ESOC delivers time correlation data which are the source for the SCLK kernel.
Note: ESOC always provide predicted and reconstituted orbit data, but only predicted attitude data. Only SPK kernels with reconstructed data are archived.
An automated system, called ADCS (Automatic Data Conversion System) is responsible for the generation of CK, SPK and SCLK kernels from the ESOC flight dynamics data. ADCS detects when a new product was generated or a new time correlation packet is available, and run a series of processes in order to create the corresponding kernels.
ADCS uses the SPICE toolkit in order to fulfill its task. It runs in a server physically located at ESAC.
The WebGeocalc tool (WGC) provides a web-based graphical user interface to many of the observation geometry computations available from the SPICE system. A WGC user can perform SPICE computations without the need to write a program; the user need have only a computer with a standard web browse.
Access to the WebGeocalc here.
For more information on WeGeoCalc go to the NAIF WebGeocalc description.
If you want to receive updates and notifications for SPICE for Rosetta you might join the SPICE_ROS mailing list here.
Notifications from the ESA SPICE Service can also be obtained via twitter.
You can also join the #SPICE channel in the OpenPlanetary Group in Slack. You can access using this link.