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251. Euclid: Fast two-point correlation function covariance through linear construction

252. Euclid preparation

253. Euclid: Searching for pair-instability supernovae with the Deep Survey

254. KiDS and Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography

255. Euclid preparation

256. Euclid: Discovering pair-instability supernovae with the Deep Survey

257. Euclid preparation

258. Euclid preparation XIX. Impact of magnification on photometric galaxy clustering

259. Euclid preparation, XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey

260. Euclid XIX. Impact of magnification on photometric galaxy clustering

262. Euclid: Covariance of weak lensing pseudo-Cℓ estimates

263. Euclid:Covariance of weak lensing pseudo- C -estimates

264. Euclid : Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids

265. Euclid:Searching for pair-instability supernovae with the Deep Survey

266. Euclid preparation:XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey

267. Euclid preparation:XX. The Complete Calibration of the Color–Redshift Relation survey: LBT observations and data release⋆

268. State-of-the-art sustainable approaches for deeper decarbonization in Europe : An endowment to climate neutral vision

269. A new ranking method for trapezoidal intuitionistic fuzzy numbers and its application to multi-criteria decision making.

270. Euclid: Forecast constraints on consistency tests of the ΛCDM model

271. Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy

272. SELF-REPORTED ORAL HEALTH AMONG ROMANIAN PATIENTS WITH LIVER TRANSPLANT: A PILOT STUDY

273. Euclid preparation, [Bd.] XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey

274. Euclid preparation - XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models: XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models

275. Erratum: Euclid preparation: XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (A&A (2022) 666 (A200) DOI: 10.1051/0004-6361/202243950

276. Euclid preparation

278. Euclid: Forecasts from redshift-space distortions and the Alcock–Paczynski test with cosmic voids

279. Euclid: Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data

280. Euclid: Estimation of the Impact of Correlated Readout Noise for Flux Measurements with the Euclid NISP Instrument*

281. Euclid Preparation. XIV. The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Data Release 3

282. MoEDAL Run-3 Technical Proposal

283. Euclid preparation. XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

284. Euclid: Forecasts for k-cut 3×2 Point Statistics

285. Euclid: Impact of non-linear and baryonic feedback prescriptions on cosmological parameter estimation from weak lensing cosmic shear

286. Euclid: Forecasts for $k$-cut $3 \times 2$ Point Statistics

287. Euclid Preparation. XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey:Data Release 3

288. Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering

289. Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy

290. Euclid preparation: XVI. Exploring the ultra low-surface brightness Universe with Euclid/VIS

291. Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids

292. Euclid preparation: I. The Euclid Wide Survey

293. Euclid Preparation: XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3

294. $Euclid$ preparation: XV. Forecasting cosmological constraints for the $Euclid$ and CMB joint analysis

295. Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using Deep Generative Models

296. Euclid: constraining dark energy coupled to electromagnetism using astrophysical and laboratory data

297. Euclid: Estimation of the impact of correlated readout noise for flux measurements with the Euclid NISP instrument

298. Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses

299. Euclid: Effect of sample covariance on the number counts of galaxy clusters

300. Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

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