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Publication Year: 2025

31 to 40 of 10,316 Results

Manually_curated_repeats.fa May 6, 2025 - The expanded Bostrychia moritziana genome unveils evolution in the most diverse and complex order of red algae application/x-fasta - 327.9 KB - MD5: 4ba4e4deaaad53c46e6a334fa3a9a968
TALE_phylogeny_v2.treefile May 6, 2025 - The expanded Bostrychia moritziana genome unveils evolution in the most diverse and complex order of red algae Unknown - 10.0 KB - MD5: 4b04e4c6f3d508a00cb98dc0246a4567
Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar May 5, 2025 Kazantsev, Andrei; Karuppusamy, Ramesh, 2025, "Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar", https://doi.org/10.17617/3.HQYC8O, Edmond, V1 Robust realtime identification of dispersed radio astronomical signals that last much less than a second is challenging. Here we explore the utility of machine learning techniques to identify such signals and use data taken on the Crab pulsar using the Effelsberg 100m Radio Telescope. The data corresponds to the frequency range of 1240-1510 MHz, an...
AAA_README.txt May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Plain Text - 2.0 KB - MD5: c9e5a026a375996def26e79cf1cd026c
B0531+21_59000_48386_DM_time_dataset_realbased_labels_training.npy May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 7.3 MB - MD5: 558f7f3005fedc747fc43db226b95ab6 Data Numpy array containing labels for the DM-time training dataset. Each label identifies a sample as either a true pulse or an artefact (e.g., broadband RFI or just noise).
B0531+21_59000_48386_DM_time_dataset_realbased_training_128x128.npy May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 3.6 GB - MD5: 32bad569b51a032250f7882aa0a75d13 Datadm_time DM-time training dataset downsampled to 128×128 resolution.
B0531+21_59000_48386_DM_time_dataset_realbased_training_32x32.npy May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 232.4 MB - MD5: a34392cf601f0768506dee1b21eeb6f8 Datadm_time DM-time training dataset downsampled to 32×32 resolution.
B0531+21_59000_48386_DM_time_dataset_realbased_training_64x64.npy May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 929.6 MB - MD5: 051da3b28302da65eed0f4a1a8b97b58 Datadm_time DM-time training dataset downsampled to 64×64 resolution.
B0531+21_59000_48386_DM_time_dataset_realbased_training.npy May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 14.5 GB - MD5: 20075c6fe8cce8fb86e5535d1ac6084a Datadm_time Full-resolution DM-time training dataset (256×256) derived from Crab Pulsar observations.
B0531+21_59000_48386.fil May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 3.1 GB - MD5: 3cf053e6bc46911eada8d19bcb591bf5 Datafilterbank This file contains radio observations of the Crab pulsar (PSR B0531+21) in SIGPROC's filterbank format, recorded with the Effelsberg radio telescope. The data represents rapidly sampled radio spectra spanning the 1210-1530 MHz frequency range. The file contains a minimal metadata encoded in the first 349 bytes, following which the spectra (256 bins...

Manually_curated_repeats.fa

May 6, 2025 - The expanded Bostrychia moritziana genome unveils evolution in the most diverse and complex order of red algae

application/x-fasta - 327.9 KB -

TALE_phylogeny_v2.treefile

May 6, 2025 - The expanded Bostrychia moritziana genome unveils evolution in the most diverse and complex order of red algae

Unknown - 10.0 KB -

Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

May 5, 2025

Kazantsev, Andrei; Karuppusamy, Ramesh, 2025, "Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar", https://doi.org/10.17617/3.HQYC8O, Edmond, V1

Robust realtime identification of dispersed radio astronomical signals that last much less than a second is challenging. Here we explore the utility of machine learning techniques to identify such signals and use data taken on the Crab pulsar using the Effelsberg 100m Radio Telescope. The data corresponds to the frequency range of 1240-1510 MHz, an...

AAA_README.txt

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Plain Text - 2.0 KB -

B0531+21_59000_48386_DM_time_dataset_realbased_labels_training.npy

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 7.3 MB -

Data

Numpy array containing labels for the DM-time training dataset. Each label identifies a sample as either a true pulse or an artefact (e.g., broadband RFI or just noise).

B0531+21_59000_48386_DM_time_dataset_realbased_training_128x128.npy

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 3.6 GB -

Datadm_time

DM-time training dataset downsampled to 128×128 resolution.

B0531+21_59000_48386_DM_time_dataset_realbased_training_32x32.npy

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 232.4 MB -

Datadm_time

DM-time training dataset downsampled to 32×32 resolution.

B0531+21_59000_48386_DM_time_dataset_realbased_training_64x64.npy

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 929.6 MB -

Datadm_time

DM-time training dataset downsampled to 64×64 resolution.

B0531+21_59000_48386_DM_time_dataset_realbased_training.npy

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 14.5 GB -

Datadm_time

Full-resolution DM-time training dataset (256×256) derived from Crab Pulsar observations.

B0531+21_59000_48386.fil

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 3.1 GB -

Datafilterbank

This file contains radio observations of the Crab pulsar (PSR B0531+21) in SIGPROC's filterbank format, recorded with the Effelsberg radio telescope. The data represents rapidly sampled radio spectra spanning the 1210-1530 MHz frequency range. The file contains a minimal metadata encoded in the first 349 bytes, following which the spectra (256 bins...

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