Forecasting local primordial non-Gaussianities from UNIONS Lyman-break galaxies and Planck CMB lensing

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Table A.1.

Summary of the forecasted precision on $f_{NL}^{loc}$ $Mathematical equation: $ f_{\mathrm{NL}}^{\mathrm{loc}} $$ and the precision on the bias parameter σ(b₀)/b₀ for the different analysis cases we explore in this paper.

Analysis case	$σ (f_{NL}^{loc})$ $Mathematical equation: $ \sigma(f_{\mathrm{NL}}^{\mathrm{loc}}) $$	σ(b₀)/b₀

Section 6.1: Baseline sample `UNIONSlike_RF`
${\bar{n}}_{gal} = 1, 100$ $Mathematical equation: $ \bar{n}_{\mathrm{gal}} = 1,100 $$ deg², S_survey = 3, 730 deg²

C_ℓ^gg + C_ℓ^gk	7 (20%)	0.01
C_ℓ^gκ + C_ℓ^gg(ℓ > 100)	25 (73%)	0.02
C_ℓ^gκ-only	34 (100%)	0.08
C_ℓ^gκ(ℓ > 25)	61 (179%)	0.09
C_ℓ^gκ-only (Polar.-only)	94 (276%)	0.2

Section 6.1.2: Impact of b_ϕ(b) modeling

p_Φ = 0.2-2	25 (73%)-62(180%)	0.08-0.14

Section 6.1.3: Impact of linear bias modeling

b₀ × (1.0 + 3.5)	44 (129%)	0.08

b₀ × (1.0 + b_W19)	36 (105%)	0.07
1.0 + b₀ × 3.5	38 (112%)	0.09
1.0 + b₀ × b_W19	34 (100%)	0.08

Section 6.1.4: Impact of the outliers fraction

f_out = 0 (no z < 1 outliers)	16 (47%)	0.09
`UNIONSlike_RF_u180s`	36 (105%)	0.08
`LSSTY4like_RF_u2x180s`	28 (82%)	0.08
baseline high-z only	15 (44%)	0.11
baseline (`DESI`-2h/4h exp.)	22/20 (64%/58%)	0.12

Section 6.1.5: Uncertainty on n(z): baseline sample

20% error on n(z)	35 (102%)	0.08
high-z SSM Δz, Δs = 0.1, 0.1	35 (102%)	0.08

Section 6.2: Color-box selection on GAaP `UNIONS` data
${\bar{n}}_{gal} = 1, 400$ $Mathematical equation: $ \bar{n}_{\mathrm{gal}} = 1,400 $$ deg², S_survey = 4, 760 deg²

n(z) `CLAUDS`+`HSC` calib.	20 (23)	0.07
+ (`DESI`-2h/4h exp.)	21 (24)/19 (22)	0.09

n(z)b(z) CZ-calib.+b_eff	57 (65)	-
+err `DESI` DR1	134 (151)	-
+err `DESI` DR3-like	105 (118)	-
n(z)b(z) CZ-calib.+b₀b_W19	55 (62)	-
+err `DESI` DR1	147 (166)	-
+err `DESI` DR3-like	120 (135)	-

Notes. For the part dedicated to Section 6.1, the percentages in the $f_{NL}^{loc}$ $Mathematical equation: $ f_{\mathrm{NL}}^{\mathrm{loc}} $$ column tells how the $f_{NL}^{loc}$ $Mathematical equation: $ f_{\mathrm{NL}}^{\mathrm{loc}} $$ constraints compares to the baseline, which yields $σ (f_{NL}^{loc}) = 34$ $Mathematical equation: $ \sigma(f_{\mathrm{NL}}^{\mathrm{loc}}) = 34 $$ . For the part dedicated to Section 6.2, the constraints in parentheses are obtained by rescaling the forecast error by $\sqrt{4, 760 / 3, 730}$ $Mathematical equation: $ \sqrt{4,760/3,730} $$ , to help isolate the gains due to sample properties versus simple volume expansion.

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