obs_id stringdate 2681-01-01 00:00:00 2701-01-01 00:00:00 | quadrant stringclasses 144
values | ra float32 263 277 | dec float32 66 68.8 | obj_id int64 2,626,778,158B 2,767,957,743B | flux float32 0.58 334 | sci_subtracted array 2D | noise_map array 2D | binary_mask array 2D | psf_stamp array 2D | psf_residual listlengths 21 21 |
|---|---|---|---|---|---|---|---|---|---|---|
2696 | 1-1.E | 272.619659 | 67.924408 | 2,726,196,726,679,244,300 | 0.624116 | [
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2696 | 1-1.E | 272.678802 | 67.931953 | 2,726,788,170,679,319,600 | 0.907576 | [[-1.5451774597167969,3.307727813720703,1.2652816772460938,1.1186084747314453,1.3737926483154297,3.4(...TRUNCATED) | [[2.6870992183685303,2.9351348876953125,2.8333914279937744,2.825943946838379,2.83888840675354,2.9400(...TRUNCATED) | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.403629105809159e-8,2.360260396017111e-6,2.958867071356508e-6,-7.3503(...TRUNCATED) | [[9.85811880127585e-7,4.64662343802047e-6,-0.000023520251488662325,-0.00002515898086130619,0.0000107(...TRUNCATED) |
2696 | 1-1.E | 272.568878 | 67.921516 | 2,725,688,847,679,215,000 | 0.604302 | [[-7.560914993286133,-2.235523223876953,-0.5929203033447266,-0.5284538269042969,3.267721176147461,4.(...TRUNCATED) | [[2.3463292121887207,2.6524603366851807,2.739992380142212,2.743370771408081,2.935462236404419,3.0069(...TRUNCATED) | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.679000298324354e-8,2.4545759060856653e-6,3.15956526719674e-6,-7.9740(...TRUNCATED) | [[1.3375807839111076e-6,4.477333732211264e-6,-0.000022590997104998678,-0.000024237107936642133,0.000(...TRUNCATED) |
2696 | 1-1.E | 272.682709 | 67.953171 | 2,726,827,200,679,531,500 | 5.149135 | [[-1.976095199584961,4.095209121704102,-3.025125503540039,1.288980484008789,-1.707113265991211,-0.66(...TRUNCATED) | [[2.6669931411743164,2.976151943206787,2.6098673343658447,2.83744478225708,2.6814448833465576,2.7365(...TRUNCATED) | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.356423488616201e-8,2.3180318748927675e-6,2.8209062747919234e-6,-7.49(...TRUNCATED) | [[8.589712479079026e-7,4.8930032789940014e-6,-0.000023751947082928382,-0.000025339888452435844,0.000(...TRUNCATED) |
2696 | 1-1.E | 272.650848 | 67.897896 | 2,726,508,585,678,979,000 | 20.281633 | [[-3.4826202392578125,-1.8035831451416016,1.6406993865966797,2.237201690673828,-0.7135581970214844,1(...TRUNCATED) | [[2.5861966609954834,2.6778526306152344,2.8566818237304688,2.8865270614624023,2.7357120513916016,2.8(...TRUNCATED) | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.397117336907286e-8,2.48742253461387e-6,3.3487033306300873e-6,-7.3660(...TRUNCATED) | [[1.8506474361856817e-6,3.942207513318863e-6,-0.000022526446628035046,-0.000024284765459015034,9.942(...TRUNCATED) |
2696 | 1-1.E | 272.644043 | 67.901054 | 2,726,440,494,679,011,000 | 0.978509 | [[0.0,21.338911056518555,6.912630081176758,7.332765579223633,0.3824195861816406,3.176877975463867,1.(...TRUNCATED) | [[7.955272197723389,3.717665433883667,3.1105551719665527,3.129901170730591,2.7926790714263916,2.9329(...TRUNCATED) | [[0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.399213793249146e-8,2.4732889869483188e-6,3.3063704449887155e-6,-7.40(...TRUNCATED) | [[1.7725732277540374e-6,4.050150891998783e-6,-0.000022591364540858194,-0.000024359220333280973,0.000(...TRUNCATED) |
2696 | 1-1.E | 272.644531 | 67.896683 | 2,726,445,439,678,967,000 | 1.049454 | [[-0.6079616546630859,-8.141793251037598,3.6163558959960938,1.3466224670410156,1.7513160705566406,0.(...TRUNCATED) | [[2.7411062717437744,2.3127410411834717,2.954242467880249,2.8417117595672607,2.86210036277771,2.7886(...TRUNCATED) | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.387481311596275e-8,2.4886214760044822e-6,3.3555227219039807e-6,-7.41(...TRUNCATED) | [[1.902850272017531e-6,3.946528977394337e-6,-0.000022452621124102734,-0.000024237400793936104,9.8961(...TRUNCATED) |
2696 | 1-1.E | 272.594421 | 67.919983 | 2,725,944,140,679,200,000 | 1.693955 | [[1.1053905487060547,4.484598159790039,6.2705078125,-1.8134994506835938,-1.8038616180419922,3.139804(...TRUNCATED) | [[2.8344242572784424,3.000833034515381,3.0851566791534424,2.682387113571167,2.6829030513763428,2.935(...TRUNCATED) | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.5643641755077624e-8,2.4295068214996718e-6,3.118851736871875e-6,-7.75(...TRUNCATED) | [[1.2970864418093697e-6,4.552820428216364e-6,-0.00002285316259076353,-0.000024539403966628015,0.0000(...TRUNCATED) |
2696 | 1-1.E | 272.65036 | 67.929482 | 2,726,503,625,679,295,000 | 7.63778 | [[5.456676483154297,1.3493003845214844,-2.4985122680664062,0.8250484466552734,0.3084907531738281,-1.(...TRUNCATED) | [[3.0397026538848877,2.8389275074005127,2.6370089054107666,2.812270164489746,2.7857542037963867,2.68(...TRUNCATED) | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.4494836259900694e-8,2.3795594188413816e-6,2.997297769979923e-6,-7.40(...TRUNCATED) | [[1.025543724608724e-6,4.685042313212762e-6,-0.000023458555006072856,-0.000025088651455007493,0.0000(...TRUNCATED) |
2696 | 1-1.E | 272.698669 | 67.93055 | 2,726,986,794,679,305,700 | 37.715305 | [[5.410005569458008,-0.5642299652099609,-1.8110218048095703,1.4594402313232422,-2.836639404296875,-1(...TRUNCATED) | [[3.036893844604492,2.7395198345184326,2.673330307006836,2.8436741828918457,2.617628335952759,2.6725(...TRUNCATED) | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,(...TRUNCATED) | [[0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.3944229588532835e-8,2.3606612558069173e-6,2.9711338811466703e-6,-7.3(...TRUNCATED) | [[1.0182922096646507e-6,4.520156835496891e-6,-0.000023439964934368618,-0.00002508527359168511,0.0000(...TRUNCATED) |
End of preview. Expand in Data Studio
Euclid Q1: Generative Neural Network Training Database for Shear Estimation
Dataset Summary
This dataset contains a collection of image stamps extracted from the Euclid (Q1) space mission data. It was specifically designed for training generative neural networks applied to cosmic shear estimation within the context of weak lensing studies.
The images are centered on pre-filtered galaxies (spatially isolated, without major pixel defects) and provide all the necessary matrices for direct processing via deep learning pipelines: a background-subtracted science image, a noise map, a binary mask, and a local Point Spread Function (PSF) model.
Dataset Details
- Data Source: Euclid Q1
- Total number of galaxies: 50,203
- Object key:
obj_idis unique — one row per physical object - Included observations (
obs_id):2696,2684,2683,2682,2697,2695,2685,2681,2686,2698,2701,2694,2687,2688,2693,2699,2700
Data Fields
Each example in the dataset corresponds to a single galaxy and contains the following fields:
| Field Name | Type | Format / Dimensions | Description |
|---|---|---|---|
obs_id |
string |
- | Identifier of the source observation |
quadrant |
string |
- | Specific detector quadrant (e.g., 1-1-E) |
ra |
float32 |
- | Right Ascension coordinate of the galaxy |
dec |
float32 |
- | Declination coordinate of the galaxy |
obj_id |
int64 |
- | Unique object identifier from the source catalog |
flux |
float32 |
- | Visual flux of the object (FLUX_VIS_UNIF) |
sci_subtracted |
array2_d |
64 x 64 (float32) |
Science image with the sky background subtracted |
noise_map |
array2_d |
64 x 64 (float32) |
Corresponding RMS noise map |
binary_mask |
array2_d |
64 x 64 (int32) |
Binary mask indicating valid (1) or defective/ignored (0) pixels |
psf_stamp |
array2_d |
21 x 21 (float32) |
Point Spread Function (PSF) model interpolated exactly at the galaxy's position from the Euclid PSF model |
psf_residual |
list of list |
21 x 21 (float64) |
Residual convolution kernel between psf_stamp and a fixed local reference PSF (PSFiso, see below), computed by Fourier division (IFFT[FFT(psf_stamp) / FFT(psf_ref)]). Convolving the reference PSF with this kernel reconstructs psf_stamp |
Usage
from datasets import load_dataset
dset = load_dataset("VincentB03/euclid-Q1-V3", split="train")
# reproducible split (obj_id is unique)
split = dset.train_test_split(test_size=0.1, seed=42)
train_ds, test_ds = split["train"], split["test"]
Reproducing this dataset
All the code and auxiliary files needed to regenerate this dataset from the raw Euclid Q1 products are collected in a dedicated repository:
- GitHub repository (build pipeline,
psf_ref):https://github.com/VincentB03/Euclid-Q1-postage-stamps.
Acknowledgements
Developed at CosmoStat (CEA). Based on data from the ESA Euclid mission (Q1 release).
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