Présidents de session
Session: FINK
- Il n'a pas de président de session pour ce bloc
Session: Calibration, Auxtel
- Sébastien Bongard (LPNHE)
Session: Calibration, Auxtel
- Sébastien Bongard (LPNHE)
Session: Calibration, Auxtel
- Sébastien Bongard (LPNHE)
Session: SNe
- Julian Bautista (CPPM)
Session: Photo-z
- Julian Bautista (CPPM)
Session: Clusters
- Raphael Gavazzi (IAP CNRS)
Session: WL
- Raphael Gavazzi (IAP CNRS)
We will present the Fink broker which has been designed to ingest, enrich and filter the VRO LSST public alert stream. Within minutes, it can select promising transients by providing preliminary classifications and combining information from multiple channels (multi-messenger and multi-wavelength surveys and catalogues). It can also communicate these candidates to teams and follow-up...
We will show the different capabilities of Fink from the user side. The goal is to provide examples on how you can access or filter the data for a science case. This session will include: (i) how to set up filtering in the real time processing in Fink, (ii) how to access the aggregated data through the Science Portal and (iii) how to use the API. We will use our current processing of the ZTF...
Le disperseur holographique développé en France a été installé le 15 février sur le télescope auxiliaire de LSST. Les premières images ont été acquises au Chili lors des prises de données de février et mars. Nous montrerons les spectres issus de ces images et confronterons les premiers résultats avec les performances attendues à partir des mesures du banc de test.
A large variety of cosmological observations has validated the Λ CDM model as the leading one in driving the dynamics of the Universe. This model requires the validity of several assumptions : the Cosmological Principle (homogeneity and isotropy at large scales). Despite numerous successes, the standard model is facing some challenges like the detection of large scale velocity flows.
Type...
The Deep Drilling (DD) mini-survey of LSST will be critical for the success of the supernovae science program. This presentation will be a summary of the most recent studies related to this topic.
We will review the most common photometric redshifts techniques, showing their applications to recent surveys.
We will split our presentation in two : the first part focusing on SED-fitting techniques (Olivier Ilbert) and the second part on deep learning (Stephane Arnouts).
We introduce a Gaussian processes as a possible method to estimate redshift from photometric fluxes.
Gaussian processes method is intermediate method between physically constrained SED-templates fitting methods and highly flexible unconstrained fitting method.
As for ML, it requires to be trained on a training sample, however because it encapsulates physics constraint on the cosmological...
We present the estimation of the mass-richness-redshift relation for a selection of RedMapper detected clusters in the DC2 catalogs of DESC using weak gravitational lensing. The weak lensing mass estimation is affected by several systematics including the photometrical estimation of background galaxy redshifts & error on galaxy shape measurements. We investigate the effect of increasing the...
The Dark Energy Survey has scanned 5000 square degrees of the southern sky to assemble a catalog of over 100 million galaxy shapes in Year 3 data. We combined it with catalogs of the positions of "lens" galaxies with accurate redshifts to measure three two-point functions : cosmic shear (shape-shape), galaxy-galaxy lensing (shape-position) and clustering (position-position). In this talk, I...
