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SUMMARY:A Redshift-Limited Sample Selection and Photometric Redshift Estim
 ation for 4MOST WAVES: Prospects for LSST
DTSTART;VALUE=DATE-TIME:20261020T125000Z
DTEND;VALUE=DATE-TIME:20261020T130500Z
DTSTAMP;VALUE=DATE-TIME:20261112T103434Z
UID:indico-contribution-438-2265@events.ncbj.gov.pl
DESCRIPTION:Speakers: Gursharanjit Kaur (Center for Theoretical Physics\, 
 PAN)\nIn this talk\, I will present a machine learning-based approach to s
 elect a redshift-limited sample using multiband photometry when spectrosco
 pic redshifts are not available. The technique is a decision tree-based bi
 nary classification\, which has been further extended into a photometric r
 edshift estimation method. This selection methodology has been applied to 
 select targets for the WAVES survey of the Multi-Object Spectroscopy Facil
 ity (4MOST). WAVES has a key science goal of probing the halo mass functio
 n to fainter magnitudes compared to previous surveys like GAMA. The ML sel
 ection method achieves completeness of over 90%\, as desired by the survey
 . We demonstrate that our method achieves photo-z scatter σ_NMAD ~ 0.015 
 when tested against the DESI DR1 sample flux-limited to 21.2 in Z-band mag
 nitude. \n\nThis sample selection and photometric redshift estimation meth
 odology can be successfully applied to a large photometric survey like LSS
 T\, and we see it as a potential contribution to the LSST DESC photo-z com
 munity.\n\nhttps://events.ncbj.gov.pl/event/502/contributions/2265/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2265/
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BEGIN:VEVENT
SUMMARY:Unlocking Non-linear Pairwise Velocities in the LSST Era
DTSTART;VALUE=DATE-TIME:20261020T123500Z
DTEND;VALUE=DATE-TIME:20261020T125000Z
DTSTAMP;VALUE=DATE-TIME:20261112T103434Z
UID:indico-contribution-438-2264@events.ncbj.gov.pl
DESCRIPTION:Speakers: Mariana Jaber (NCBJ)\nPeculiar velocities provide a 
 complementary probe of large-scale structure by directly tracing the gravi
 tational dynamics of structure formation. Yet observational analyses of pa
 irwise velocities and the pairwise kinetic Sunyaev-Zel’dovich signal rem
 ain largely restricted to linear and quasi-linear scales\, leaving substan
 tial cosmological information at smaller separations untapped.\n\nWe prese
 nt a simulation-calibrated likelihood for the mean pairwise velocity\, v12
 (r\,a)\, based on the exact pair conservation equation and non-linear matt
 er clustering\, validated against the Quijote and TNG300-3 simulations. Ex
 tending the analysis from a linear-regime baseline of 50 Mpc/h down to 4 M
 pc/h at z=0.5 reduces the uncertainty on fσ8 by up to 86%\, while the joi
 nt Ωm–fσ8 Figure-of-Merit improves by up to a factor of 9.1.\n\nThese 
 gains motivate asking how much of this non-linear information can be recov
 ered with LSST-era datasets. LSST will provide dense photometric samples f
 or cross-correlation with spectroscopic and CMB surveys\, while photometri
 c redshift uncertainties\, tracer selection and galaxy velocity bias compl
 icate the interpretation of small-scale pairs. Our framework provides a co
 ntrolled starting point for quantifying these effects and determining the 
 scales on which non-linear pairwise motions can become a practical cosmolo
 gical probe.\n\nhttps://events.ncbj.gov.pl/event/502/contributions/2264/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2264/
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BEGIN:VEVENT
SUMMARY:Improved delensing of CMB B-modes with upcoming SO and LSST Year-1
  data
DTSTART;VALUE=DATE-TIME:20261020T121500Z
DTEND;VALUE=DATE-TIME:20261020T123500Z
DTSTAMP;VALUE=DATE-TIME:20261112T103434Z
UID:indico-contribution-438-2263@events.ncbj.gov.pl
DESCRIPTION:Speakers: Kishan Deka (NCBJ (BP4))\nIn the era of high-precisi
 on Cosmic Microwave Background (CMB) anisotropy measurements\, detection o
 f primordial gravitational waves (PGWs) is one of the main goals of curren
 t CMB experiments. Detection of a divergence-free (B-mode) component in CM
 B polarisation will provide direct evidence of inflationary PGWs in the ea
 rly universe. However\, weak gravitational lensing of CMB photons due to i
 ntervening mass distribution of the Universe distorts the primordial polar
 isation patterns\, introducing an additional lensing-induced B-mode signal
 . Removing these lensing-induced B-modes is essential for improving constr
 aints on the amplitude of PGWs. In this work\, we test a tomographic delen
 sing method on simulations of the Rubin Observatory LSST galaxy catalogue 
 and Simons Observatory (SO) CMB maps. A significant improvement in delensi
 ng efficiency is achieved by using a multi-tracer approach\,\nwhere we spl
 it the galaxy dataset into tomographic redshift bins. However\, uncertaint
 ies in photometric redshift measurements pose a problem for optimal weight
 ing of the tracers. In this work\, we set up a pipeline to perform a multi
 -tracer delensing method and studied the impact of photometric redshift er
 rors\, using realistic simulations of LSST galaxy catalogue and SO CMB map
 s.\n\nhttps://events.ncbj.gov.pl/event/502/contributions/2263/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2263/
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BEGIN:VEVENT
SUMMARY:Cosmology with quasars in Kilo-Degree Survey
DTSTART;VALUE=DATE-TIME:20261020T130500Z
DTEND;VALUE=DATE-TIME:20261020T132000Z
DTSTAMP;VALUE=DATE-TIME:20261112T103434Z
UID:indico-contribution-438-2266@events.ncbj.gov.pl
DESCRIPTION:Speakers: Szymon Nakoneczny (CFT PAN)\nI will present my curre
 nt work on cosmological inference with quasars (QSOs) from the Kilo-Degree
  Survey (KiDS). In both the classification and the photometric redshift (p
 hoto-z) steps\, I test how far the models can be extrapolated beyond the c
 overage of the spectroscopic training data\, and how the resulting errors 
 propagate into the cosmological constraints. I compare ML methods for unce
 rtainty estimation in QSO photo-z\, and describe the calibration of the cl
 assification and photo-z results with self-organising maps (SOMs). Finally
 \, I present preliminary constraints from the KiDS QSO samples\, obtained 
 with tomographic binning in photo-z. Both the methods and the results carr
 y over directly to LSST\, which will deliver quasar samples that are large
 r and deeper\, but even less well covered by spectroscopic training data.\
 n\nhttps://events.ncbj.gov.pl/event/502/contributions/2266/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2266/
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