Search results for "joukot"
showing 10 items of 14 documents
Euclid preparation XIX. Impact of magnification on photometric galaxy clustering
2022
Aims. We investigate the importance of lensing magnification for estimates of galaxy clustering and its cross-correlation with shear for the photometric sample of Euclid. Using updated specifications, we study the impact of lensing magnification on the constraints and the shift in the estimation of the best fitting cosmological parameters that we expect if this effect is neglected.
Sotavanki nimeltä Seppo
2016
Tämä pro gradu -tutkielma kertoo Seppo Jokivartion tarinan. Seppo soti ensin talvisodassa, sitten jatkosodassa ja osallistui vielä Tornion maihinnousuun. Lapin sodan ensimmäisen taistelupäivän iltana Seppo jäi viiden muun suomalaisen sotilaan kanssa saksalaisten sotavangiksi hieman Torniosta pohjoiseen. Sotavankien kertoman perusteella saksalaiset kohtelivat suomalaisia kuin eläimiä. Osoitan nämä kertomukset uskottaviksi tarkastelemalla saksalaista sotavankijärjestelmää yleisellä tasolla. Ei ole mitään syytä olettaa, että petetyksi ja yllätetyksi tulleet saksalaiset olisivat kohdelleet suomalaisia sotavankeja yhtään sen hellemmin kuin muitakaan järjestelmänsä piiriin joutuneita. Sotavankeja…
Kvasikonveksisuus tasossa
2009
Regularity properties of spheres in homogeneous groups
2015
We study left-invariant distances on Lie groups for which there exists a one-parameter family of homothetic automorphisms. The main examples are Carnot groups, in particular the Heisenberg group with the standard dilations. We are interested in criteria implying that, locally and away from the diagonal, the distance is Euclidean Lipschitz and, consequently, that the metric spheres are boundaries of Lipschitz domains in the Euclidean sense. In the first part of the paper, we consider geodesic distances. In this case, we actually prove the regularity of the distance in the more general context of sub-Finsler manifolds with no abnormal geodesics. Secondly, for general groups we identify an alg…
Euclid preparation - XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields
2022
Artículo escrito por un elevado núnmero de autores, sólo se referencian el qque aparece en primer lugar, los autores pertenecientes a la UAM y el nombre del grupo de colaboración, si lo hubiere
Kiistanalainen SS-palapeli
2019
Muuttolinnun siivellä : Ilmavoimien kansainvälisen valmiusyksikön nousukiito NATOn TACEVAL-prosessin myötä
2017
Euclid preparation : XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models
2022
We present a machine learning framework to simulate realistic galaxies for the Euclid Survey, producing more complex and realistic galaxies than the analytical simulations currently used in Euclid. The proposed method combines a control on galaxy shape parameters offered by analytic models with realistic surface brightness distributions learned from real Hubble Space Telescope observations by deep generative models. We simulate a galaxy field of 0.4 deg2 as it will be seen by the Euclid visible imager VIS, and we show that galaxy structural parameters are recovered to an accuracy similar to that for pure analytic Sérsic profiles. Based on these simulations, we estimate that the Euclid Wide …
Euclid preparation : XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography
2021
The analysis of weak gravitational lensing in wide-field imaging surveys is considered to be a major cosmological probe of dark energy. Our capacity to constrain the dark energy equation of state relies on an accurate knowledge of the galaxy mean redshift ⟨z⟩. We investigate the possibility of measuring ⟨z⟩ with an accuracy better than 0.002 (1 + z) in ten tomographic bins spanning the redshift interval 0.2 99.8%. The zPDF approach can also be successful if the zPDF is de-biased using a spectroscopic training sample. This approach requires deep imaging data but is weakly sensitive to spectroscopic redshift failures in the training sample. We improve the de-biasing method and confirm our fi…