The GRB fundamental plane and the GRB-SNe connection� Dr. Maria Giovanna Dainotti
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24-10-2023, Palermo, Italy, Anisotropies in Core Collapsar SNe
NAOJ, DIVISION OF SCIENCE
Outline of the talk
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GRB phenomenology
Afterglow
A well-sampled GRB light curve observed by Swift BAT+ XRT.
The blue line is the
phenomenological Willingale et al. (2007) model.
The gold sample
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Because They…
But They…
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Why are GRBs potential cosmological tools?�
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Swift lightcurves taken from the Swift repository
For 20 years, we’ve been struggling: how to use GRBs as standard candles?
Challenge: Light curves vary widely - “if you've seen one GRB, you've seen one GRB” --
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Class | Duration of prompt emission
| X-ray fluence/ γ-ray fluence | Presence of supernovae or optical bumps |
X-ray flashes | >2 s | >1 | In some cases |
GRB-SNe | >2 s | <1 | Yes |
Short | <2 s | <1 | No |
Short Extended Emission | <10 s | <1 | In one case |
Long | >2 s | <1 | No |
Which GRB class works best as a standard candle?
GRB zoo
Ultra-Long >2000s <1 yes |
Alone, none of these classes are standard candles (but I have good news for you later).
Now the drive is to standardize them.
compact object mergers (NS-NS, NS-BH)
core collapse of massive stars
(M > 30 Msun)
La-Ta correlation first discovered by Dainotti, et al. (2008), MNRAS, 391, L 79D, later updated by Dainotti et al. (2010), ApJL, 722, L 215; Dainotti et al. (2011a), ApJ, 730, 135; Dainotti et al. (2015a), ApJ, 800, 1, 31. The La-Lpeak first discovered by Dainotti et al., MNRAS, 2011b, 418, 2202.
Possible reliable candidates are the and Lpeak-La correlations
Black -> z < 0.89
Magenta -> 0.89 ≤ z ≤ 1.68 Blue -> 1.68 < z ≤ 2.45 Green -> 2.45 < z ≤ 3.45
Red -> z ≥ 3.45.
To account for selection biases Dainotti et al. 2013, ApJ, 774, 157 and Dainotti et al. 2015b, MNRAS, 451, 4 showed that both these correlations are intrinsic to GRB physics and not to selection biases.
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b=-1.0 -> Energy reservoir of the plateau is constant
Log Lx(Ta)= log A +B log Lpeak
Blue -> z ≤ 0.84
Magenta -> 0.84 ≤ z ≤ 1.8 Green -> 1.8 < z ≤ 2.9
Red -> z ≥ 2.9.
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Long GRBs - blue points- for which the SNe has not been seen�GRB-SNe associated - red triangles�Long-GRB-NO-SNe at low z - black filled triangle
Hunting a more homogeneous sample
for a “standard GRB set for cosmology”
GRB-SNe and GRB-LONG-NO-SNe is 2.8 sigma with P=0.045
Dainotti, Nagataki, Maeda, Postnikov & Pian, 2017 A&A, 600, id. A98, 11
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AN EXTENSION OF THE LX-TA AND LX-LPEAK CORRELATIONS GIVEN THEIR INTRINSIC NATURE
X-ray Flashes
GRB-SNe
Short
Long
Dainotti, Postnikov, Hernandez, Ostrowski 2016, ApJL, 825L, 20
Press release by NASA:
https://swift.gsfc.nasa.gov/news/2016/grbs_std_candles.html
Mention in Scientific American, Stanford highlight of 2016, INAF Blogs, UNAM gaceta, and many online newspapers took the news.
The gold sample (40 GRBs) :
Flat plateau (< 41°)
At least 5 points at the plateaus’ beginning
The gold sample reduces σint of 54% compared
to the 2D correlation for 122 long GRBs
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Distance from the planes
�D Dainotti, Hernandez, Postnikov, Nagataki, Obrien, Willingale, Striegel, 2017, ApJ, 848, 88 848,88
Interviewed by the Italian National daily news on Women day
Marie Curie Fellow of the week
5-12 May 2018
Total sample of 184 GRBs
the gold sample fundamental plane is a reference (placed in 0). The gold sample has the smallest scatter.
Black=Long GRBs
Red=Short GRBs
Blue=XRFs
Orange=GRB-SNe
Purple=gold sample
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Fallback accretion onto a black hole
Spinning down of a magnetar
The GRB plateau emission can be described through two models:
A. Rowlinson, et al., 2014, MNRAS, 443, 2, 1779-1787
P. Kumar, et al., 2008, MNRAS, 388, 4, 1729-1742
The physical interpretation of the plateau
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Two different classes within the magnetar scenario
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Stratta, Dainotti, Dall’Osso, Hernandez, de Cesare 2018, ApJ, 869, 155
Why a beamed jet is preferred to isotropic emission
Conclusions I: towards standard candles
It is the tightest three parameter correlation including the plateau phase.
a difference in the B, P diagram of the magnetars.
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For a more a complete review see
Dainotti & Amati,
“Gamma Ray Burst selection effects in prompt correlations: an overview”,
PASP, 30, 987, 051001 (2018b).
A series of review papers:
Dainotti, M.G., del Vecchio, R. & Tarnopolski, M.,
“Gamma Ray Burst Prompt correlations” Advances in Astronomy, vol. 2018, id. 4969503.
Dainotti, M.G., & del Vecchio, R.,
“Gamma Ray Burst afterglow and prompt-afterglow relations: An overview”,
NAREV, 77, 23 (2017).
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The fundamental plane relation for new classes: Ambushing the standard candle in its own nest
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Dainotti, Lenart, Sarracino, Nagataki, Capozziello & Fraija 2020, ApJ, 904, issue 2, 97, 13
Press release distributed by the AAS, issued by Jagiellonian, Space Science Institute, and by INAF
(Italian National Astrophysics Institute) and interview by INAF.
The fundamental plane relation for new classes
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Dainotti et al. 2020, ApJ, 904, issue 2, 97, 13
3D fundamental plane relations for different samples: �the whole, GRBs associated with KNe and SGRB and KNe.
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Dainotti et al. 2020, ApJ, 904, issue 2, 97, 13
All 222 GRBs with plateaus
GRBs associated with KNe
SGRBs and SGRBs-KNe
The distances from the Gold fundamental plane
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A Z-score is measured in terms of standard deviations from the mean.
If Z=0, the score is identical to the mean score.
Dainotti et al. 2020, ApJ, 904, issue 2, 97, 13.
What happens to the GRB-SNe connection with the fundamental plane in optical?
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The 3D correlation in optical exists for 58 GRBs !!!� M. G. Dainotti, et al., 2022c, ApJS, 261, 2, 25. Press release from NAOJ
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The difference and similarities in the parameters
How can we investigate further and more generally the GRB-SNe connection?
GRB and SNe correlations
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The search of intrinsic correlations between the parameters of GRBs and SNe.
GRB-GRB parameters correlations
- Amati et al. 2002 (Ep-Eiso)
- Yonetoku et al. 2004 (Ep-Lpeak)
- Ghirlanda et al. 2004 (Ep-Egamma)
- Oates et al. 2012 (brightness-decay rate for UVOT GRBs)
- Tsutsui & Shigeyama 2013 (scaling law)
- Dainotti et al. 2008, 2020b (time and luminosity of plateau-end in X-rays and optical)
Amati, Ghirlanda, Tsutsui, and Dainotti relations work also for GRB-SNe
GRB(prompt)-SN parameters correlations
- Li et al. 2006a (Ep-bolometric magnitude)�- Lü et al. 2018 (Ep-nickel mass)
SN-SN parameters
correlations(*)
- Cano 2014 (s-k)
GRB(afterglow)-SN parameters correlations(?)
Missing in the previous literature
(*) in the case of SNe associated with GRBs
Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
Our contribution
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In our quest for GRB-SN parameter correlations, we leveraged the following:
We performed a systematic research for correlations among all the known parameters of GRB-SNe with restrictive metrics.
Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
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Dainotti et al. 2022e
Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
The catalogue
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Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
The parameters
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Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
The Efron and Petrosian method
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Dainotti et al. 2022e
Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
The metrics and the fitting
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Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
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Dainotti et al. 2022e
Red=AB
Green=E
Red=AB
Green=E
Before EP correction
After EP correction
Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
Discussion and conclusion
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Maria Giovanna Dainotti, National Astronomical Observatory of Japan & SOKENDAI, maria.dainotti@nao.ac.jp
What else do we need for GRB-SNe connection?
New or tighter Reliable correlations
How?
Increase the sample size
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Physical interpretation, connection with theory
In the quest for the standard set�
With machine learning
For redshift inference, regression:
1) Dainotti, Narendra, Pollo et al. 2021, ApJ,920, 2, 118.
2) Narendra, Gibson, Dainotti, Pollo et al. 2022, ApJS, 259, 2, 55.
3) Gibson, Narendra, Dainotti, Pollo et al. 2022, Frontiers in Astronomy and Space Science, 9, 836215
4) Lightcurve Reconstruction, Dainotti, including Narendra, Pollo et al. 2023, ApJS�2023arXiv230512126D
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