Rubin LSST-France, APC Paris, 27-29/11/2024

27 nov. 2024, 12:00 → 29 nov. 2024, 16:30 Europe/Paris

Amphithéâtre Pierre Gilles de Gennes (sous-sol) (APC)

The next biannual meeting of the Rubin-LSST France community will be held 27-29 November 2024, at APC in Paris.

Details

• Meeting will begin at 3pm on Wednesday 27 Nov.
• Meeting ends around 3:30pm on Friday 29 Nov.
• The persons of contact for the meeting will be TBD.

Social events

• "Apéritif dinatoire" at Café Cayo on Wednesday 27 Nov, starting at 7pm.

Information about talks

• Language: Acknowledging that some participants may not understand/speak French, using English is strongly encouraged.
• Speakers: please upload your slides on this website prior to your talk.

Remote attendance

• It will be possible to follow the meeting over Zoom, but please only register for in-person attendance.
• Zoom link for plenary sessions: https://univ-grenoble-alpes-fr.zoom.us/j/92713643621?pwd=TcPgvBt1F1U9hXKhwpMah910opcN4R.1 

Code of conduct

French and English versions.

Venue information

Le laboratoire APC se trouve à 5 mn à pied de la station de métro Bibliothèque François Mitterrand (RER C ou ligne 14) et de la station de tram Avenue de France (Ligne T3a).

• Itinéraires
• Plans de Metro, RER and Bus

Previous Events

The agendas of the most recent editions of this meeting can be found online:

• June 2024
• December 2023
• June 2023
• November 2022
• May 2022
• November 2021
• May 2021
• November 2020
• February 2020

Code de conduite

Code of conduct

mercredi 27 novembre

Plenary: General updates

Président de session: Cyrille Doux (LPSC)

1 Welcome

Orateur: Cyrille Doux (LPSC)

Welcome

2 News from Rubin and DESC

Orateur: Dr Johan Bregeon (IN2P3 LSPC)

News

Rubin-LSST_France_Novembre_2024.pptx.pdf

3 EDIM

Orateurs: Clara Déplantes, Marina Ricci

EDIM presentation

4 LSST France communication

Orateur: Dr Johan Bregeon (IN2P3 LSPC)

Rubin-LSST_France_Novembre_2024_COM.pptx.pdf

5 Computing

Orateur: Fabio Hernandez (CC-IN2P3)

slides

Plenary: Invited talks

Président de session: Cyrille Doux (LPSC)

6 Simons Observatory: status update and synergies with LSST

The Simons Observatory (SO) is a new cosmic microwave background (CMB) experiment, located on Cerro Toco in Chile, that began observing in 2024. SO plans to measure the temperature and polarization variations in the CMB across six frequency bands, spanning 27 to 280 GHz. The initial setup includes three small-aperture (0.5-meter) telescopes (SATs) and one large-aperture (6-meter) telescope (LAT), using a total of 60,000 cryogenic bolometers. The detector count in both the SATs and LAT is planned to double by 2028.
The key scientific goals for SO include investigating primordial perturbations, determining the number and mass of relativistic species like neutrinos, testing the cosmological constant, improving insights into galaxy formation, and constraining the period of reionization. The SATs will observe the largest angular scales, covering about 10% of the sky with a white noise level of 2 μK-arcmin in the combined 93 and 145 GHz bands, targeting the primordial tensor-to-scalar ratio, r, with a sensitivity goal of σ(r) = 0.003 (in the nominal configuration). Meanwhile, the LAT will map roughly 40% of the sky at arcminute-scale resolution with an expected white noise level of 6 μK-arcmin in the same bands, overlapping significantly with LSST’s sky region and partially with DESI.
In this talk, we will outline the scientific objectives of SO, the current progress of the initial phase of data taking, and plans for future upgrades (SO:UK, SO:JP, and Advanced SO). We will also describe our work, which concerns some aspects of the data analysis pipeline such as map-making and instrumental modelization.

Orateurs: Ema TSANG KING SANG (APC-CNRS), Simon Biquard (APC / CNRS)

16:00 Coffee break

Plenary: General updates

Président de session: Cyrille Doux (LPSC)

7 Camera filter exchange system

Orateurs: Alexandre Boucaud (APC / IN2P3), Eric AUBOURG (APC), Pierre Antilogus (LPNHE)

8 Commissioning plan focal

Orateurs: Dr Johan Bregeon (IN2P3 LSPC), Thibault Guillemin (LAPP), Yassine Faris (LPNHE)

LSST-France - 27_11_2014-2.pdf

9 AuxTel

Orateurs: Jérémy Neveu (LPNHE), Dr Sylvie Dagoret (IJCLab), marc moniez (LAL-IN2P3)

jneveu_lsst-france_auxtel.pdf

Plenary: Invited/flash talks

Président de session: Cyrille Doux (LPSC)

10 Tomographic study of the anomalous cosmic dipole with LSST

The recent data from high redshift Universe demonstrates that our velocity with respect to distant sources, for example quasars and radio galaxies at redshifts of more than one,
is at least twice as large as our velocity with respect to the rest frame of cosmic microwave background (CMB). If the Universe is homogeneous and isotropic on large scales then the restframe of CMB is expected to coincide with the restframe of distant matter. A tomographic study of the evolution of the dipole starting from nearby to larger and larger scales is essential in order to understand the origin of this anomaly. I report on recent results from Wise satellite and outline how a tomographic map of the dipole can be achieved with the forthcoming LSST.

Orateur: Roya Mohayaee (Institut d'Astrophysique de Paris/Sorbonne université)

RUBIN:LSST-APC-novembre2024.pdf

11 Lightning talks

Orateur: Cyrille Doux (LPSC)

Lightning talks

12 180s flash talks!

Orateur: Cyrille Doux (LPSC)

Flash talks

19:00 Collaboration dinner

jeudi 28 novembre

Science talks: Galaxies and SN

Président de session: Céline Combet (LPSC)

13 Growth rate measurement using LSST type Ia supernovae

Type Ia supernovae (SNe Ia) are well-known distance indicators. Through the distance recovered from SNe, it is possible to recover their host galaxy's peculiar velocities (PVs). The PV field measured by SNe Ia enables us to constrain the growth rate of cosmic structure. Using a realistic simulation of SNe light curves, as expected from LSST, we have analyzed the sample bias due to selections and contamination. We have used the Maximum Likelihood method to recover the growth rate constraints from LSST SNe Ia PVs. We have produced a forecast for the 10 years of LSST surveys under various scenarios and assumptions.

Orateur: Damiano Rosselli (CPPM)

fs8_SNe_LSST_france_APC

14 High-redshift LBG selection from broadband and wide photometric surveys using a Random Forest algorithm

Lyman-Break Galaxies (LBGs) are promising tracers for exploring the properties of dark energy in the high-redshift Universe. In light of DESI-II, the extension of the current Dark Energy Spectroscopic Instrument (DESI) that will start in 2029, the role of broadband-wide photometric surveys such as UNIONS or the Vera C. Rubin LSST is essential to design the optimal selection of these $z \geq 2$ tracers. In this work, we explore the feasibility of selecting LBGs using a Random Forest approach in the redshift range $2.5 < z < 3.5$, using existing deep imaging data from HSC and CLAUDS ($u$, $g$, $r$, $i$, and $z$ bands) degraded to the UNIONS depth. For a target density budget of $1,100$ deg$^{-2}$, we expect from this work a density of spectroscopically confirmed LBGs of $490$ deg$^{-2}$. Our UNIONS-like target selection was tested during a dedicated DESI observation campaign on the COSMOS field, providing a safe spectroscopic sample of $460$ targets with a mean redshift of 3. This sample is then used to derive forecasts for DESI-II. This talk is based on the paper arXiv:2410.08062, recently submitted to JCAP.

Orateur: Constantin Payerne (CEA/DPhP/Irfu)

Rubin LSST France APC 11.2024 .pdf

15 The Effect of the Environment on Galaxy Scaling Relations as a Function of Redshift in Euclid and LSST

We present predictions on the effect of the local environment on the quenched fraction and early-type fraction of galaxies, as a function of redshift. With a focus on z=2-3, we probe how the `protocluster' environment affects galaxy evolution. We compare between various semi-empirical and semi-analytic models. We combine simulated Euclid and LSST data to select for quenched galaxies from z=0.5 to 3. Our results show a strong passive-density relation, particularly at high stellar mass, in the GAEA model. We find that this trend is present at least up to z=3. We find a similar trend in the morphology-density relation. These results show how important the synergy between Euclid and Rubin will be for obtaining a large statistical sample of galaxies in a range of environments.

Orateur: Cressida Cleland

Presentation.pdf

16 The Rubin Galaxies science collaboration

We will present the Rubin Galaxies science collaboration, and recent updates to our publication policy.

Orateur: Simona Mei

The Rubin Galaxies science collaboration - LSSTFranceNov2024.pdf

10:50 Coffee break

Parallel: #1

17 ComCam

Orateur: Thibault Guillemin (LAPP)

18 Photo-z

Orateur: joseph chevalier (IJCLab - A2C)

12:30 Lunch

Science talks: FINK and more

Président de session: Dr Julien Peloton (CNRS-IJCLab)

19 Fink

Status & perspectives of the Fink project 6 months before the start!

Orateur: Dr Julien Peloton (CNRS-IJCLab)

Fink_lsst_france_2024b.pdf

20 Human-Labelling-Free Transient and Bogus Classifier using Gen3 LSST Pipelines

In the upcoming LSST survey, transient detection—including events like Type Ia supernovae (SNe Ia)—will be conducted through Difference Image Analysis (DIA). A major challenge in this method is that many detections are actually "bogus", arising from noise, artifacts, imperfect image subtraction, cosmic rays, bad pixels, or atmospheric effects. Currently, distinguishing real transients from bogus detections involves a combination of physical flags generated by algorithms and manual human inspection.
In this talk, we introduce a machine learning-based approach for classifying bogus and transient events using unlabelled datasets. By injecting synthetic transients into the data, we eliminate the need for human labelling. Additionally, we present an improved injection process leveraging the Gen3 LSST pipelines.

Orateur: Raphael BONNET GUERRINI

Interactives slides

21 Transient Classifiers for Fink: Benchmarks for LSST

I will present the infrastructure tests and classification methods developed within the Fink broker in preparation for LSST. This work aims to provide detailed information regarding the underlying assumptions, and methods, behind each classifier. Using simulated data from the Extended LSST Astronomical Time-series Classification Challenge (ELAsTiCC), we showcase the performance of binary and multi-class ML classifiers available in Fink. These include tree-based classifiers coupled with tailored feature extraction strategies, as well as deep learning algorithms. We introduce the CBPF Alert Transient Search (CATS), a deep learning architecture specifically designed for this task. ELAsTiCC was an important milestone in preparing Fink infrastructure to deal with LSST-like data. Our results demonstrate that Fink classifiers are well prepared for the arrival of the new stream; this experience also highlights that transitioning from current infrastructures to Rubin will require significant adaptation of currently available tools.

Orateur: Dr Emille Ishida (CNRS/LPC-Clermont)

Transient Classifiers for Fink: Benchmarks for LSST

22 LSST impact on dark matter analysis with stellar stream

Dark matter subhalos with masses from 10⁶ to 10⁹ solar masses are mostly invisible, but could impact the structure of stellar streams observed by LSST. Presentation on how LSST systematics could impact establishing constraints on alternative dark matter models thanks to stellar streams analysis.

Orateur: Matthieu Pelissier (LPSC/UGA)

Google slides

23 StarDICE update

Orateur: Jérémy Neveu (LPNHE)

StarDICE news

24 Alert pipeline

Orateur: Bruno Sanchez (CPPM - CNRS)

AP_DIA_for_LSSTFranceFall2024.pdf

16:00 Coffee break

Parallel: #2

25 AuxTel

Orateurs: Jérémy Neveu (LPNHE), Dr Sylvie Dagoret (IJCLab), marc moniez (LAL-IN2P3)

LSST-France-moniez.pptx

26 Shear/blending commissioning

Orateur: Cyrille Doux (LPSC)

Plenary: LSST quizz and ComCam bubbles

vendredi 29 novembre

Science talks: Clusters

Président de session: Marina Ricci

27 Probabilistic characterization of blending: application to cluster lensing cosmology

The upcoming deep optical surveys, such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), are set to explore the Universe to unprecedented depths, uncovering billions of galaxies. This amount of detection from the ground will lead to the apparent superposition of galaxies in the images, a phenomenon known as blending. This poses a significant challenge for the precise measurement of individual galaxy properties, especially shapes and redshifts, which are crucial for estimating the masses of large-scale structures, such as galaxy clusters, through weak gravitational lensing.

This talk will introduce an innovative matching approach to properly detect and characterize blended systems in simulated catalogs, in preparation for the future LSST data. The technique employs new metrics — probability of matching and blending entropy — to distinguish recognized and unrecognized blends. It is implemented in the friendly algorithm, developed for the major and international Dark Energy Science Collaboration (DESC) of LSST.

We use it to address the issue of blending in galaxy cluster mass estimates, demonstrating its efficiency. We find that cutting on blending entropy excludes the third of detected galaxies that are strongly impacted by blending from the dataset. We thus demonstrate that blending can cause a low bias in the amplitude of cluster weak lensing profiles, affecting the mass estimates of galaxy clusters. Furthermore, the broader impact of blending on the cosmological parameters Omega_m and sigma_8 from cluster lensing, and how the friendly procedure can mitigate these effects will be discussed.

Orateur: Manon Ramel (LPSC / IN2P3)

LSST_France_Novembre2024_Manon_Ramel.pdf

28 DC2 Cluster Detections with WaZP

This talk focuses on the cluster detection performance in the DC2 image catalog with the WaZP cluster finder.

Orateur: Rance Solomon (LAPP)

LSST-France_2024NOV-1.pdf

29 Advancements in the DESC Cluster Pipeline: Current State and Cosmological Analysis with Firecrown

In this talk, we will see the state-of-art of the DESC Cluster pipeline and some recent improvements that have been done in Firecrown regarding the cluster shear profile analysis.

Orateur: eduardo barroso (LAPP)

Advancements in the DESC Cluster Pipeline: Current State and Cosmological Analysis with Firecrown

LSST France-1.pdf

LSST France.pptx

30 Insights into Gas-Galaxy Evolution in Protoclusters for the LSST Era

Orateur: Sofia Gallego

presentation

10:50 Coffee break

Parallel: #3

31 Clusters

Orateur: Marina Ricci

Cluster session slides

32 Fink

Orateurs: Dr Emille Ishida (CNRS/LPC-Clermont), Dr Julien Peloton (CNRS-IJCLab)

Plenary: Final remarks

12:40 Lunch