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| OSSSB@LSST: Outer Solar System Small Bodies in the era of LSST | Closing date: 2024-09-07
Contact: Jean-Marc PETIT |
The Vera C. Rubin Observatory will conduct the Legacy Survey of Space and Time (LSST)- the widest and deepest optical survey to date - over 10 years starting late 2025. It will repeatedly observe millions of Solar System small bodies (SSSBs) over this period.
By their large number, physical, compositional and dynamical characteristics of the various SSSB populations hold statistically significant clues on the origin and evolution of our Solar System.
The successful PostDoc will work on implementing dedicated detection and characterization algorithms in the LSST pipeline specilized for TNOs. | | ▸ more | The ASTRO team of UTINAM Institute, located on the western side of
lovely town Besançon (Franche Comte, FRANCE), as been and is still involved in
many major astronomical surveys of solar systeme and (sub-)stellar objects,
such as CFHT-LS, WEAVE, OSSOS, CLASSY, Gaia, GUCDS, CFBDS, EUCLID and LSST. In
these surveys, our team have played and is playing major roles in designing,
running and processing the data of the surveys.
We invite applications for a Post-Doctoral position in which the
candidate is expected to work 70-80% of her time on our activities in the
OSSSB @ LSST (Outer Solar System Small Bodies at LSST; pipeline preparation), and
the remaining time on science related to our research interests on TNO and
early solar system modelisation.
The Vera Rubin Observatory is a new large telescope which will achieve
first-light in early 2025. It will perform the Large Survey of Space and Time
(LSST) starting end of 2025 for a duration of 10 years. LSST will provide an
unprecedented snapshot of the Small Bodies of the Solar System which are to the
study of the solar system the equivalent of radiogenic isotopes to the study of
rocks.
OSSSB @ LSST will use the survey to better understand the populations of
OSSSBs by increasing by an order of magnitude the size of the known
sample. OSSSBs are the less evolved populations of the solar system and contain
invaluable clues on its formation and early evolution.
The full scientific exploitation of the OSSSB @ LSST survey requires to
provide 2 pieces of processing pipelines:
- detection: optimize and parallelize on GPU our detection algorithmes,
extensively used for our previous surveys, relying on 2 separate detection
methods to drasticvally decrease the number of false positives while retaining
a good efficeincy at limiting magnitude;
- characterization: since the survey CANNOT be complete at small sizes, we must
determine our detection efficiency as a function of observing parameters in
order to connect to the real populations; we plan to develop new Machine
Learning methods to process this huge dataset.
Our research interests are primarily:
- observation of TNOs, determining their size and orbital distirbutions;
- modelling the early evolution of the solar system, with dissipation of the
planetesimal disk;
- preparing for physical TNO binary observations with MICADO/E-ELT.
The position is funded by the Région Bourgogne-Franche Comté.
The starting date is October 2024, but applications to start weeks later, up
until Januray 2025, will be considered.
Funding is available for one year.
The net salary after tax deduction is approximately 2100 euros/month, including
medical insurance.
To apply please submit to Jean-Marc Petit (jean-marc.petit @ normalesup.org) a
curriculum vitae, a publication list, a summary of previous research, and a
statement describing how you plan to get involved in the team.
In addition, please arrange for two letters of recommendation to be sent to the
above address by the deadline of 7 September 2024.
Équipe ASTRO/UTINAM, UFC Besançon, 25000 Besançon, France
Category: Research, full time
Lab's web site: https://www.utinam.cnrs.fr/ and https://www.utinam.cnrs.fr/emploi/
[[Link to the scientific rationale of the OSSSB @ LSST proposal|https://www.utinam.cnrs.fr/wp-content/uploads/2024/07/ossos-petit_en.pdf]]
[[Link to a short presentation of OSSSB @ LSST|https://www.utinam.cnrs.fr/wp-content/uploads/2024/07/Presentation_projetGS_JMP_V1_en.pdf]]
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