Published April 5, 2018 | Version v1
Dataset Open

Radio Sky Models for Cosmodeep Training

Creators

Description

A sample dataset of sky models and noise images for the training of the convolutional neuronal network "Cosmodeep" (Gheller et al. 2018), tailored to the analysis of ASKAP-like data. The dataset contains: a) 61 sky***.fits FITS files, 2000 x 2000 pixels each, with values in units of Jy/arcsec^2 and referred to the observing frequency of 1.4 GHz. b) 61 corresponding noise***.fits FITS files, containing the random noise level, tailored for the ASKAP-EMU survey. Each pixel is 10", and the image extend roughly corresponds to the ASKAP field of view. The sky models only contains diffuse synchrotron emission from electrons accelerated by cosmic shocks. Each sky***fits map is the result of the integrated emission of simulated boxes, from z=0.02 to z=0.5, simulated with the ENZO code (see Vazza et al. 2015 A&A for more details). The noise model only includes the estimated rms thermal noise for the EMU survey (~10 micro Jy/beam). See http://cosmosimfrazza.myfreesites.net/cosmodeep-training-datasets for more details.

Files

Files (2.0 GB)

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Name Size
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16.0 MB Download
Checksum: md5:cc0adab01af43be8a4aac55a1d92ff7c

PID: http://hdl.handle.net/11304/12232976-502c-4788-a92e-b1bfcb156692
16.0 MB Download
Checksum: md5:191ec7013225b27f8f1a85e23ab83b47

PID: http://hdl.handle.net/11304/df4fa989-94d3-49c6-ab71-c7f3a40620ce
16.0 MB Download
Checksum: md5:80d1277a466fc313a6fc05d44a7ec271

PID: http://hdl.handle.net/11304/fbd3f064-b23f-4611-a4bd-04cc8010dbc3
16.0 MB Download
Checksum: md5:77b5d2887682c2aefa2151911a810c89

PID: http://hdl.handle.net/11304/318a67ec-105c-4ba7-a1a1-6c38263d5da2
16.0 MB Download
Checksum: md5:c2e87f2cf1ec2af74ff2a25a2c2fd3a3

PID: http://hdl.handle.net/11304/23b17bc6-f59a-4bdd-bd83-919f9039d64d
16.0 MB Download
Checksum: md5:90e3768d0ab41288910ffa37a88f84be

PID: http://hdl.handle.net/11304/5a6e2166-d91e-44f2-a1f2-f84450592715
16.0 MB Download
Checksum: md5:57f9d9d4de436ed5c80141ccd5c0d5e5

PID: http://hdl.handle.net/11304/1eadfb48-b2ba-4eb0-a55c-56d5b796fb9d
16.0 MB Download
Checksum: md5:15bbac1a46eabcf70bb95e17ed250368

PID: http://hdl.handle.net/11304/dc4a9dec-fa1b-45e2-b3ab-4bdad037363f
16.0 MB Download
Checksum: md5:19cdd4b3014fc905652868be6b521622

PID: http://hdl.handle.net/11304/f29dbb81-cefb-4687-a307-df09b295a1b0
16.0 MB Download
Checksum: md5:6193c1efe2fd7f6a1067ecf3df02f082

PID: http://hdl.handle.net/11304/5c7d0552-ed5d-435b-b0c8-820c48b7fc75
16.0 MB Download
Checksum: md5:fcd8f789c7fe13745d887e5656333637

PID: http://hdl.handle.net/11304/455e7a5b-e521-4eef-8bb6-9345747fd612
16.0 MB Download
Checksum: md5:6e20922a2904403b1daaa454dd853f62

PID: http://hdl.handle.net/11304/f8d688c2-c0f8-48b5-93b9-f9907d1f3a5b
16.0 MB Download
Checksum: md5:566d0f241d2fbf6ce83f5dbd186998c7

PID: http://hdl.handle.net/11304/3ad9936c-4cf1-4911-995a-18169788fbb7
16.0 MB Download
Checksum: md5:985b1ac21231cbbbb2b06b67ba1f5f0f

PID: http://hdl.handle.net/11304/43380538-f39c-465f-a7c6-53f07868c415
16.0 MB Download
Checksum: md5:e1cd795e23c736e8eaa833b3ee089629

PID: http://hdl.handle.net/11304/2022ded6-f914-4fc9-911a-e5e67d6c0375
16.0 MB Download
Checksum: md5:83275e526cc976dd7770bc578dd0b44b

PID: http://hdl.handle.net/11304/cdf8b16e-b12f-43ce-894e-2d029ae067ed
16.0 MB Download
Checksum: md5:e3ff69c2a8c86be8b597ce29f2dfea9e

PID: http://hdl.handle.net/11304/78eda6b2-a7b8-4a30-b278-640b81f15fd6
16.0 MB Download
Checksum: md5:670811186dd201bf2c14a33b0bee98ca

PID: http://hdl.handle.net/11304/fa68ce79-fb6e-4ab4-8f56-6157088c7650
16.0 MB Download
Checksum: md5:7b9cae885996d86f0bdf86797d1cee73

PID: http://hdl.handle.net/11304/5f401e4a-1289-4df5-9a98-8978cd553294
16.0 MB Download

Additional details

Identifiers

B2SHARE Legacy Record ID
9f8c88758a0748c3a3c2468724ce245e
B2SHARE Legacy Record ID
17083cd82e264e9cbd04263a5f03a71d