Searching for EPD/EPT data with the a.soar.Sensor attribute

This example demonstrates how to search and download Solar Orbiter data for a specific instrument sensor. Here, we will build a query for EPD data, specifically from the EPT sensor using a.soar.Sensor.

import sunpy.net.attrs as a
from sunpy.net import Fido

Importing sunpy_soar registers the client with sunpy Fido

import sunpy_soar  # NOQA: F401 isort:skip

We shall construct a search query with instrument, time, level, and sensor attributes.

result = Fido.search(
    a.Instrument("EPD"),
    a.Time("2023-02-01", "2023-02-03"),
    a.Level(2),
    a.soar.Sensor("EPT"),
)

And we can see the result as follows:

result

Results from 1 Provider:

12 Results from the SOARClient:

QueryResponseTable length=12

Instrument	Data product	Level	Start time	End time	Filesize	SOOP Name	Sensor
					Mbyte
str3	str19	str2	str23	str23	float64	object	str3
EPD	epd-ept-asun-rates	L2	2023-02-01 00:00:00.000	2023-02-02 00:00:00.000	1.708	None	EPT
EPD	epd-ept-south-rates	L2	2023-02-01 00:00:00.000	2023-02-02 00:00:00.000	1.785	None	EPT
EPD	epd-ept-sun-rates	L2	2023-02-01 00:00:00.000	2023-02-02 00:00:00.000	2.297	None	EPT
EPD	epd-ept-north-rates	L2	2023-02-01 00:00:00.000	2023-02-02 00:00:00.000	1.803	None	EPT
EPD	epd-ept-asun-rates	L2	2023-02-02 00:00:00.000	2023-02-03 00:00:00.000	2.004	None	EPT
EPD	epd-ept-south-rates	L2	2023-02-02 00:00:00.000	2023-02-03 00:00:00.000	1.982	None	EPT
EPD	epd-ept-sun-rates	L2	2023-02-02 00:00:00.000	2023-02-03 00:00:00.000	2.145	None	EPT
EPD	epd-ept-north-rates	L2	2023-02-02 00:00:00.000	2023-02-03 00:00:00.000	1.899	None	EPT
EPD	epd-ept-asun-rates	L2	2023-02-03 00:00:00.000	2023-02-04 00:00:00.000	2.078	None	EPT
EPD	epd-ept-south-rates	L2	2023-02-03 00:00:00.000	2023-02-04 00:00:00.000	2.25	None	EPT
EPD	epd-ept-sun-rates	L2	2023-02-03 00:00:00.000	2023-02-04 00:00:00.000	2.025	None	EPT
EPD	epd-ept-north-rates	L2	2023-02-03 00:00:00.000	2023-02-04 00:00:00.000	2.111	None	EPT

To then download the data, you would then use Fido.fetch(result), which will download the data locally.