LoTSS deep fields DR2

This page will host the deep fields second data release, consisting of full-depth 6′′ images of the LoTSS deep fields (ELAIS-N1, Lockman Hole, Boötes and the Euclid Deep Field North). Currently only the ELAIS-N1 field is here.

ELAIS-N1

ELAIS-N1 images are described by Shimwell et al (2025). The abstract is below:

We present the final 6′′ resolution data release of the ELAIS-N1 field from the LOw-Frequency ARray (LOFAR) Two-metre Sky Survey Deep Fields project (LoTSS Deep). The 144 MHz images are the most sensitive achieved to date at this frequency and were created from 290 TB of data obtained from 505 hrs on-source observations taken over 7.5 years. The data were processed following the strategies developed for previous LoTSS and LoTSS Deep data releases. The resulting images span 24.53 square degrees and, using a refined source detection approach, we identified 154,952 radio sources formed from 182,184 Gaussian components within this area. The maps reach a noise level of 10.7 μJy beam−1 at 6′′ resolution where approximately half of the noise is due to source confusion. In about 7.4% of the image our limited dynamic range around bright sources results in a further > 5% increase in the noise. The images have a flux density scale accuracy of about 9% and the standard deviation of offsets between our source positions and those from Pan-STARRS is 0.2′′ in RA and Dec for high significance detections. We searched individual epoch images for variable sources, identifying 39 objects with considerable variation. We also searched for circularly polarised sources achieving three detections of previously known emitters (two stars and one pulsar) whilst constraining the typical polarisation fraction plus leakage to be less than 0.045%.

ELAIS-N1 downloads

ELAIS-N1 individual epoch images

Images from individual 8-h observations. These are compressed images and will need to be uncompressed with the funpack software before use.
ObsIDObservation dateStokes IStokes V dirty
L2290642014-05-19DownloadDownload
L2293122014-05-20DownloadDownload
L2293872014-05-22DownloadDownload
L2296732014-05-26DownloadDownload
L2304612014-06-02DownloadDownload
L2307792014-06-03DownloadDownload
L2312112014-06-05DownloadDownload
L2315052014-06-10DownloadDownload
L2316472014-06-12DownloadDownload
L2329812014-06-27DownloadDownload
L3456242015-06-07DownloadDownload
L3470302015-06-19DownloadDownload
L3474042015-06-24DownloadDownload
L3475122015-06-29DownloadDownload
L3485122015-07-01DownloadDownload
L3515762015-07-18DownloadDownload
L3667922015-08-07DownloadDownload
L3695302015-08-22DownloadDownload
L3695482015-08-21DownloadDownload
L6868922018-12-06DownloadDownload
L6869062018-12-08DownloadDownload
L6869202018-12-03DownloadDownload
L6869342018-12-02DownloadDownload
L6869482018-11-30DownloadDownload
L6869622018-11-26DownloadDownload
L6869762018-11-25DownloadDownload
L6869902018-11-24DownloadDownload
L6870042018-11-22DownloadDownload
L7101742019-05-19DownloadDownload
L7167142019-05-27DownloadDownload
L7167322019-05-25DownloadDownload
L7167502019-05-23DownloadDownload
L7167682019-05-22DownloadDownload
L7608532019-12-02DownloadDownload
L7693932020-05-24DownloadDownload
L7694072020-05-18DownloadDownload
L7694212020-05-11DownloadDownload
L7694352020-03-14DownloadDownload
L7980222020-11-12DownloadDownload
L7980742020-11-14DownloadDownload
L7980922020-11-20DownloadDownload
L7981102020-11-22DownloadDownload
L7981282020-11-26DownloadDownload
L7981462020-11-28DownloadDownload
L7981642020-11-30DownloadDownload
L8117182021-03-18DownloadDownload
L8117362021-03-19DownloadDownload
L8162722021-05-13DownloadDownload
L8162902021-05-19DownloadDownload
L8163082021-05-22DownloadDownload
L8163262021-05-23DownloadDownload
L8163442021-05-26DownloadDownload
L8163622021-05-28DownloadDownload
L8189362021-06-11DownloadDownload
L8189542021-06-21DownloadDownload
L8259702021-08-08DownloadDownload
L8334482021-10-30DownloadDownload
L8334662021-10-09DownloadDownload