GaiaX Alerts

GaiaX is a stream of alerts from the single field-of-view detector (1-FoV detector), as detailed in Kostrzewa-Rutkowska Z., et al., 2020.

Operating independently from the main Gaia Alerts stream, GaiaX provides the potential for studying multimesseger astrophysics. Using the Gaia precise photometric, astrometric, and spectroscopic measurements, coupled with its all-sky, multi-epoch survey capability, make it an effective tool for detecting electromagnetic counterparts to gravitational wave events.

from GaiaAlertsPy.alert import GaiaX_history, GaiaX_alert

import numpy as np
from astropy.time import Time

# fancy plotting
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format = "retina"
from matplotlib import rcParams
rcParams['savefig.dpi'] = 550
rcParams['font.size'] = 20
plt.rc('font', family='serif')

Load GaiaX alert release table from 2023:

alerts_2023 = GaiaX_history('2023')

alerts_2023[0:5]

Table length=5

Run	Earliest	Latest	No. of Alerts	Published	CSV
int64	str19	str19	int64	str19	str14
7470	2023-12-28T23:32:13	2023-12-30T07:25:11	123	2023-12-31T17:10:03	gaiax_7470.csv
7469	2023-12-27T19:10:56	2023-12-29T08:56:45	159	2023-12-31T09:50:03	gaiax_7469.csv
7468	2023-12-26T20:28:36	2023-12-28T10:28:05	121	2023-12-29T09:40:03	gaiax_7468.csv
7467	2023-12-25T09:21:04	2023-12-27T10:19:27	119	2023-12-28T09:50:03	gaiax_7467.csv
7465	2023-12-25T04:55:03	2023-12-26T12:41:48	111	2023-12-27T15:30:03	gaiax_7465.csv

plt.figure(figsize=(7, 4))
plt.bar(Time(alerts_2023['Published']).mjd, alerts_2023['No. of Alerts'], color='#353935', width=3,
        label='GaiaX 2023')
plt.legend()
plt.yscale('log')
plt.xlabel('Time [MJD]')
plt.ylabel('Number of Alerts')

Text(0, 0.5, 'Number of Alerts')

Using the CSV extension, we can also load the alert data:

alert_hist = GaiaX_alert('gaiax_7469.csv')

alert_hist[0:5]

Table length=5

Name	SourceID	ObsTime	RA	Dec	GMag	GMagErr
str14	int64	str19	float64	float64	float64	float64
GaiaX23-280346	795575123163962752	2023-12-29T01:53:57	150.312982	35.333948	18.87	0.09
GaiaX23-280345	795894668734561152	2023-12-29T01:53:13	150.205548	36.134564	18.36	0.03
GaiaX23-280344	1763931334623322112	2023-12-29T01:24:05	317.471687	17.153644	20.32	0.05
GaiaX23-280343	1763915013747597440	2023-12-29T01:23:57	317.570608	17.038779	20.59	0.05
GaiaX23-280342	1763907317166204288	2023-12-28T23:37:11	317.611999	16.854227	18.73	0.03

plt.figure(figsize=(7, 4))
plt.scatter(alert_hist['RA'], alert_hist['Dec'], c=alert_hist['GMag'],
            cmap='rainbow_r', s=20, alpha=1, vmin=18, vmax=20., marker='*')
plt.colorbar(pad=0.001, label='G$_{mag}$')
plt.xlabel('RA [deg]')
plt.ylabel('Dec [deg]')
plt.minorticks_on()