LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2024-12-03T20:20:25.478062

Column	Type
Nk2	integer
analytic_conductor	double precision
analytic_rank	smallint
analytic_rank_proved	boolean
artin_degree	integer
artin_field	numeric[]
artin_field_label	text
artin_image	text
atkin_lehner_eigenvals	integer[]
atkin_lehner_string	text
char_conductor	integer
char_degree	integer
char_is_minimal	boolean
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
cm_discs	integer[]
conrey_index	integer
dim	integer
embedded_related_objects	text[]
field_disc	numeric
field_disc_factorization	numeric[]
field_poly	numeric[]
field_poly_is_cyclotomic	boolean
field_poly_is_real_cyclotomic	boolean
field_poly_root_of_unity	integer
fricke_eigenval	smallint
has_non_self_twist	smallint
hecke_cutters	jsonb
hecke_orbit	integer
hecke_orbit_code	bigint
hecke_ring_generator_nbound	integer
hecke_ring_index	numeric
hecke_ring_index_factorization	numeric[]
hecke_ring_index_proved	boolean
inner_twist_count	integer
inner_twists	integer[]
is_cm	boolean
is_largest	boolean
is_maximal	boolean
is_polredabs	boolean
is_rm	boolean
is_self_dual	boolean
is_self_twist	boolean
is_twist_minimal	boolean
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
minimal_twist	text
nf_label	text
prim_orbit_index	smallint
projective_field	numeric[]
projective_field_label	text
projective_image	text
projective_image_type	text
qexp_display	text
related_objects	text[]
relative_dim	integer
rm_discs	integer[]
sato_tate_group	text
self_twist_discs	integer[]
self_twist_type	smallint
space_label	text
trace_display	numeric[]
trace_hash	bigint
trace_moments	numeric[]
trace_zratio	numeric
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newforms • Show schema

{'Nk2': 5544, 'analytic_conductor': 11.06726572014946, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 3, 'char_parity': 1, 'char_values': [1386, 3, [155, 199, 1135], [3, 1, 3]], 'cm_discs': [], 'conrey_index': 793, 'dim': 4, 'field_disc': 576, 'field_disc_factorization': [[2, 6], [3, 2]], 'field_poly': [4, 0, 2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [1, 2, 5, -2, 1]], [13, [8, 8, 1]], [17, [289, 170, 83, 10, 1]], [23, [289, 34, 21, -2, 1]]], 'hecke_orbit': 21, 'hecke_orbit_code': 90072679775733098, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1386.2.k.u', 'level': 1386, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'minimal_twist': '1386.2.k.q', 'nf_label': '4.0.576.2', 'prim_orbit_index': 3, 'qexp_display': 'q+(1+\\beta _{2})q^{2}+\\beta _{2}q^{4}+(1+\\beta _{1}+\\beta _{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1386.2.k', 'trace_display': [2, 0, 2, -2], 'trace_hash': 139861499773598409, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.912', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '56.981', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1428.650', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, 'traces': [4, 2, 0, -2, 2, 0, -2, -4, 0, -2, 2, 0, -16, 2, 0, -2, -10, 0, 4, -4, 0, 4, 2, 0, 4, -8, 0, 4, 0, 0, -4, 2, 0, -20, 14, 0, -8, -4, 0, -2, 4, 0, 0, 2, 0, -2, -10, 0, 10, 8, 0, 8, -16, 0, 4, 2, 0, 0, 4, 0, 6, -8, 0, 4, -16, 0, 10, -10, 0, 4, -8, 0, 4, 8, 0, -8, -4, 0, -18, 2, 0, 2, 28, 0, -36, 0, 0, -2, 8, 0, -16, -4, 0, 10, -12, 0, -52, 20, 0, 4, 0, 0, 24, 16, 0, -32, -22, 0, 2, 2, 0, -2, 8, 0, -14, 0, 0, 8, 20, 0, -2, -6, 0, -4, 12, 0, -12, 2, 0, 16, 8, 0, 28, 20, 0, 10, -4, 0, -24, -10, 0, -4, -8, 0, 8, 8, 0, 16, 0, 0, 6, -4, 0, -2, -56, 0, 24, 18, 0, 4, 38, 0, -6, -2, 0, 14, 32, 0, 44, -18, 0, 0, 4, 0, -8, -4, 0, -8, -12, 0, -32, -32, 0, -2, -8, 0, 10, 20, 0, -24, 4, 0, 24, -26, 0, 10, 48, 0, 28, -4, 0, 0, 24, 0, 18, -24, 0, 8, 8, 0, 48, -16, 0, 22, 8, 0, 8, 4, 0, -2, 56, 0, -8, -4, 0, 4, 2, 0, 0, -28, 0, 0, -6, 0, -2, 4, 0, -14, -80, 0, -16, 2, 0, -12, 20, 0, -32, 4, 0, 6, -48, 0, 4, -6, 0, -2, 56, 0, 40, 32, 0, -8, -4, 0, -48, 8, 0, 10, -2, 0, 4, 20, 0, -8, -4, 0, 8, -12, 0, -14, -44, 0, 32, 4, 0, -16, 46, 0, -32, -8, 0, 4, -40, 0, 40, 8, 0, 0, -32, 0, 24, 12, 0, 4, -10, 0, -48, 2, 0, -28, -22, 0, 36, 48, 0, 36, -14, 0, 0, 2, 0, 4, -72, 0, 0, 6, 0, -4, 26, 0, 10, -14, 0, 16, -28, 0, 72, 22, 0, 18, 4, 0, -68, 0, 0, -4, 38, 0, -12, -28, 0, -2, -28, 0, 28, -16, 0, -24, 0, 0, 14, -16, 0, -16, -8, 0, -28, 2, 0, -16, 32, 0, 6, -10, 0, 10, -32, 0, 100, -12, 0, -4, -12, 0, 10, 48, 0, 26, 22, 0, -68, -10, 0, 24, 30, 0, -8, 56, 0, -8, 8, 0, 64, 0, 0, 24, -16, 0, -28, -18, 0, -48, -8, 0, 6, -8, 0, 4, 24, 0, 48, 24, 0, 16, 4, 0, 18, 44, 0, -8, -44, 0, -84, -68, 0, 2, -28, 0, 30, -4, 0, 112, 40, 0, 16, -4, 0, -2, 32, 0, 2, -4, 0, 4, -88, 0, -24, 0, 0, -14, 72, 0, -32, 0, 0, 6, 28, 0, -20, -4, 0, -4, 0, 0, -16, -34, 0, -40, 16, 0, 0, -32, 0, 4, -34, 0, 20, -6, 0, 34, -28, 0, -16, 32, 0, 8, 100, 0, -40, -6, 0, -24, 32, 0, 80, 2, 0, 6, 56, 0, -8, -4, 0, -56, -32, 0, -20, -16, 0, 16, 36, 0, 12, -16, 0, -8, -68, 0, 8, -24, 0, -20, -80, 0, 6, -10, 0, -4, -10, 0, 42, -4, 0, 10, 28, 0, -88, -4, 0, 4, 16, 0, -54, 16, 0, 12, 8, 0, -32, -4, 0, -22, 40, 0, 20, 64, 0, 8, -44, 0, 32, -8, 0, 50, -40, 0, 18, 32, 0, -16, -38, 0, 16, -4, 0, -20, 56, 0, -112, 20, 0, -8, 12, 0, -66, 0, 0, 32, 10, 0, -80, 24, 0, 6, 2, 0, -50, 8, 0, -20, 16, 0, 42, -24, 0, 4, 64, 0, -18, 28, 0, -44, -64, 0, 6, -36, 0, 24, 16, 0, -72, 18, 0, 14, -18, 0, 8, 0, 0, -2, -32, 0, 48, -34, 0, -36, 26, 0, -4, 0, 0, 12, 18, 0, 24, -2, 0, -20, 12, 0, 44, -10, 0, -28, 24, 0, 24, -16, 0, -14, 12, 0, 8, 36, 0, -22, 12, 0, 2, 36, 0, -4, 24, 0, 8, -34, 0, 0, 80, 0, -30, -8, 0, 76, -12, 0, -42, -6, 0, -20, -56, 0, -16, 2, 0, -56, 0, 0, -36, -28, 0, -8, -152, 0, -32, -12, 0, 0, 10, 0, 48, 28, 0, 16, -16, 0, -96, 16, 0, -4, -16, 0, 38, -56, 0, 4, -10, 0, 68, -8, 0, -8, 32, 0, 32, -6, 0, -20, 26, 0, -20, -10, 0, -16, 36, 0, 56, 50, 0, 12, -2, 0, -4, -8, 0, 12, -48, 0, 72, 14, 0, 24, 54, 0, -40, 52, 0, 44, 36, 0, -4, -34, 0, -20, 64, 0, 4, -24, 0, 60, 44, 0, -32, 8, 0, 28, -172, 0, 52, -4, 0, -8, -4, 0, 28, 128, 0, 0, -30, 0, -8, 0, 0, -8, 6, 0, 16, -56, 0, -36, 60, 0, 60, -24, 0, 44, -20, 0, 56, -6, 0, -16, 98, 0, -8, -4, 0, 12, 52, 0, -84, 24, 0, -24, 86, 0, -2, 32, 0, -4, -40, 0, -76, 12, 0, 22, 66, 0, 34, -16, 0, -88, -2, 0, -44, -42, 0, -76, -36, 0, 8, -2, 0, -56, 54, 0, -18, -30, 0, -2, -104, 0, 36, 56, 0, -40, 28, 0, -30, 32, 0, 4, -4, 0, -40, 2, 0, 16, -48, 0, -96, 4, 0, -8, -32, 0, -50, 2, 0, -32, -116, 0, 14, 24, 0, 0, -88, 0, 26, 14, 0, 36, -96, 0, -96, -16, 0, 0, -36, 0, 40, 12, 0, -28, -18, 0, 24, -82, 0, -2, 68, 0, 50, -8, 0, 0, -20, 0, 0, -8, 0, -20, -20, 0, -36, 40, 0, 32, 8, 0, -90, 0, 0, -16, 64, 0, 52, 2, 0, 34, -20, 0, 12, 40, 0, 6, -4, 0, 16, 14, 0, -14, 82, 0, 48, -32, 0, 64, 24, 0, -56, 4, 0, 92, 88, 0, -56, 40, 0, -12, 16, 0, 52, 24, 0, 16, -96, 0, 144, 40, 0, -2, 56, 0, 32, 12, 0, -56, -46, 0, -72, -28, 0, -2, -28, 0, 96, -112, 0, -64, -20, 0, -44, -10, 0, -56, -76, 0, 16, -16, 0, 72, -96, 0, 12, -12, 0, -8, -96, 0, 56, -4, 0, 68, 16, 0, -12, 16, 0, 24, 24, 0, 44, -28, 0, -40, -26, 0, -64, 12, 0, -20, 32, 0, -16, -2, 0, 10, -80, 0, -26, -42, 0, -8, -68, 0, -12, -10, 0, 14, 172, 0, -88, -44, 0, 4, 30, 0, -48, 8, 0, -16, -12, 0, 256, -36, 0, 8, 24, 0, 0, 24, 0, 16, 28, 0, 30, -16, 0, 10, 80, 0, 26, 22, 0, 80, 20, 0, -24, -20, 0, 32, 48, 0, -60, 4, 0, 44, 2, 0, -6, 64, 0, 8, 32, 0, -160, 4, 0, -20, 16, 0, -28, 36, 0, 64, 16, 0, -20, -8, 0, -10, -20, 0, 38, -16, 0, -8, -88, 0, 102, 20, 0, 28, -88, 0, -44, -56, 0, -20, -8, 0, 170, -16, 0, -12, -24, 0, 64, -102, 0, 0, 68, 0, -40, 64, 0, 20, -2, 0, 0, -40, 0, 0, 64, 0, -44, -6, 0, 4, 124, 0, 28, 50, 0, 4, -104, 0, -80, -10, 0, -16, -12, 0, 28, 84, 0, 24, 36, 0, 152, 2, 0, 32, 80, 0, 28, -36, 0, 56, 4, 0, 4, -22, 0, 16, 32, 0, 8, -6, 0, -72, 24, 0, 16, -24, 0, 8, -48, 0, 240, -36, 0, -18, 14, 0, -32, 28, 0, 18, -100, 0, -56, -80, 0, 0, -8, 0, -4, -4, 0, -64, -14, 0, -64, 24, 0, -38, -68, 0, 56, 36, 0, 52, 16, 0, -8, 4, 0, 0, -132, 0, -144, 6, 0, -18, 44, 0, 34, 48, 0, 2, -80, 0, -72, -46, 0, 6, -48, 0, 20, 88, 0, -20, 16, 0, -36, -14, 0, -36, -4, 0, -48, -24, 0, -32, 100, 0, -112, 14, 0, 6, 228, 0, 36, 4, 0, -36, 56, 0, -48, -44, 0, -12, 28, 0, 104, -50, 0, 18, -86, 0, 24, -8, 0, 48, 98, 0, -22, 4, 0, 34, 96, 0, 6, 0, 0, 160, 48, 0, 24, 30, 0, -4, 0, 0, -16, 38, 0, 12, 56, 0, -56, -84, 0, 6, -6, 0, 132, 8, 0, -28, -18, 0, -46, -32, 0, 4, -100, 0, -54, -28, 0, 120, 144, 0, -32, 36, 0, -56, -48, 0, 96, 8, 0, -76, 76, 0, -44, -16, 0, 12, -48, 0, 78, 0, 0, -10, -18, 0, 16, 48, 0, 14, 112, 0, 126, 32, 0, -32, 8, 0, 24, -48, 0, 32, -104, 0, -40, 4, 0, -32, 20, 0, -12, -38, 0, -28, -96, 0, -24, 2, 0, 10, 24, 0, -48, 136, 0, 8, 82, 0, 60, -40, 0, 16, -104, 0, 12, 64, 0, -12, -8, 0, 88, -10, 0, -44, 136, 0, 60, 20, 0, -20, 32, 0, 4, 16, 0, 18, -252, 0, 16, 28, 0, -50, 56, 0, 164, 24, 0, 2, -44, 0, 8, 34, 0, -4, -12, 0, -132, 24, 0, -96, 40, 0, -16, 36, 0, 4, -124, 0, 28, -24, 0, 108, -112, 0, 48, 40, 0, 26, 40, 0, -164, 22, 0, -36, -36, 0, 100, -8, 0, 34, -4, 0, 40, -10, 0, 32, 96, 0, 8, 8, 0, -48, 12, 0, -56, 30, 0, 52, -96, 0, -62, 32, 0, 16, -4, 0, 32, -28, 0, -86, 16, 0, -144, 26, 0, 4, -76, 0, -96, -16, 0, 4, 14, 0, 140, -34, 0, 64, 36, 0, -92, 0, 0, -60, 40, 0, -60, -4, 0, -24, -128, 0, -4, 8, 0, 12, -102, 0, 92, -16, 0, -28, -80, 0, 0, -18, 0, -60, -80, 0, 4, 120, 0, 24, 146, 0, 96, 52, 0, -10, -42, 0, -64, 112, 0, -12, -6, 0, -70, -8, 0, -2, -32, 0, -2, 8, 0, -8, 40, 0, -68, -12, 0, 26, -40, 0, -32, -42, 0, -24, 60, 0, 32, -48, 0, -86, 32, 0, -52, -4, 0, 16, 4, 0, -40, -8, 0, -80, 32, 0, -28, -38, 0, -6, 292, 0, 32, -22, 0, 132, 2, 0, 80, -34, 0, -8, 104, 0, 24, -44, 0, 2, -24, 0, -176, -88, 0, 42, -20, 0, 156, -8, 0, -18, -88, 0, 64, 16, 0, -4, 30, 0, 46, -28, 0, 66, -272, 0, 124, 18, 0, -60, 144, 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Column	Type
an_normalized	double precision[]
angles	double precision[]
char_orbit_index	smallint
conrey_index	integer
dual_conrey_index	integer
dual_embedding_index	integer
dual_embedding_m	integer
embedding_index	integer
embedding_m	integer
embedding_root_imag	double precision
embedding_root_real	double precision
hecke_orbit	integer
hecke_orbit_code	bigint
label	text
level	integer
weight	smallint

mf_hecke_cc • Show schema

{'an_normalized': [[1.0, 0.0], [0.3535533905932738, 0.6123724356957945], [0.0, 0.0], [-0.25, 0.4330127018922193], [-0.09262096826685896, -0.16042422288442443], [0.0, 0.0], [-0.9907659622418867, 0.13558321453228717], [-0.3535533905932738, 0.0], [0.0, 0.0], [0.06549291474156001, -0.11343705586815864], [0.15075567228888181, -0.26111648393354675], [0.0, 0.0], [-0.3249358518977221, 0.0], [-0.43331608855762865, -0.5587818602971264], [0.0, 0.0], [-0.125, -0.21650635094610965], [-0.2633418923058148, 0.45612153723500276], [0.0, 0.0], [-0.09502710839096332, -0.16459177982950324], [0.09262096826685896, 0.0], [0.0, 0.0], [0.21320071635561044, 0.0], [-0.338068661436154, -0.5855520980542199], [0.0, 0.0], [0.482842712474619, -0.8363081100704111], [-0.1148821721637535, -0.19898175907149604], [0.0, 0.0], [0.18898223650461363, -0.4629100498862757], [-0.5252257314388902, 0.0], [0.0, 0.0], [0.5823954599743681, -1.008738526773052], [0.08838834764831845, -0.15309310892394862], [0.0, 0.0], 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'hecke_orbit': 21, 'hecke_orbit_code': 90072679775733098, 'label': '1386.2.k.u.991.1', 'level': 1386, 'weight': 2}

Column	Type
ALdims	integer[]
Nk2	integer
a4_dim	integer
a5_dim	integer
analytic_conductor	double precision
char_conductor	integer
char_degree	integer
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
conrey_index	integer
cusp_dim	integer
dihedral_dim	integer
dim	integer
eis_dim	integer
eis_new_dim	integer
hecke_cutter_primes	integer[]
hecke_orbit_code	bigint
hecke_orbit_dims	integer[]
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
mf_dim	integer
mf_new_dim	integer
num_forms	smallint
plus_dim	integer
prim_orbit_index	smallint
relative_dim	integer
s4_dim	integer
sturm_bound	integer
trace_bound	integer
trace_display	numeric[]
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newspaces • Show schema

{'Nk2': 5544, 'analytic_conductor': 11.06726572014946, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 3, 'char_parity': 1, 'char_values': [1386, 3, [155, 199, 1135], [3, 1, 3]], 'conrey_index': 793, 'cusp_dim': 544, 'dim': 64, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 13, 17, 23], 'hecke_orbit_code': 687228323178, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6], 'label': '1386.2.k', 'level': 1386, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'mf_dim': 608, 'mf_new_dim': 64, 'num_forms': 23, 'prim_orbit_index': 3, 'relative_dim': 32, 'sturm_bound': 576, 'trace_bound': 11, 'trace_display': [0, 0, -4, -8], 'traces': [64, 0, 0, -32, -4, 0, -8, 0, 0, 0, 0, 0, 8, 8, 0, -32, 12, 0, 16, 8, 0, 0, 0, 0, -16, -12, 0, 4, -8, 0, -28, 0, 0, -24, 28, 0, -16, -20, 0, 0, -40, 0, 56, 0, 0, -20, 8, 0, 16, 0, 0, -4, 4, 0, 0, -4, 0, 12, -20, 0, -20, -24, 0, 64, 44, 0, -36, 12, 0, -4, 8, 0, 48, 36, 0, -32, 4, 0, 4, -4, 0, 8, -72, 0, -96, -4, 0, 0, -40, 0, -4, 0, 0, 40, 12, 0, 80, 48, 0, -16, 20, 0, 4, 24, 0, 16, 40, 0, -8, -12, 0, 4, -32, 0, -52, 4, 0, 80, 88, 0, -32, -28, 0, -28, -72, 0, -120, 0, 0, 48, 12, 0, -84, -64, 0, 12, -8, 0, 96, -8, 0, 24, -12, 0, 60, 24, 0, 32, 80, 0, 16, -20, 0, 8, 0, 0, 52, 8, 0, 0, 116, 0, -68, 20, 0, 4, -72, 0, 64, 48, 0, -28, -36, 0, -116, 0, 0, 8, -32, 0, -56, -68, 0, -20, 24, 0, 12, -16, 0, -104, -8, 0, -16, 32, 0, -8, 24, 0, 52, 0, 0, -40, -36, 0, 24, 16, 0, -4, 40, 0, 152, 4, 0, 4, -88, 0, 80, -48, 0, 0, 36, 0, 64, -4, 0, 24, 0, 0, -16, -40, 0, -24, -12, 0, -24, -20, 0, -36, -64, 0, 4, 0, 0, 40, 56, 0, -16, 12, 0, -84, 0, 0, -8, -48, 0, -32, -104, 0, 40, -88, 0, -40, 24, 0, 48, 20, 0, -36, -16, 0, -24, -24, 0, -16, -8, 0, 36, 48, 0, -16, 256, 0, 60, -4, 0, -24, 48, 0, -88, -24, 0, 48, 128, 0, -80, 36, 0, -72, 144, 0, 84, 56, 0, 16, -16, 0, 80, -8, 0, -48, -20, 0, 0, -136, 0, -8, -28, 0, -20, -4, 0, 12, 192, 0, -20, 0, 0, -16, -56, 0, 44, 36, 0, -8, -304, 0, -64, 8, 0, 48, -28, 0, -212, 8, 0, -28, -32, 0, 96, -24, 0, 0, -184, 0, 44, 80, 0, 8, -116, 0, 32, 84, 0, -52, -96, 0, 8, 0, 0, 112, -28, 0, 12, -28, 0, 40, 64, 0, 32, 12, 0, 24, 184, 0, 4, 40, 0, -40, 84, 0, -96, 0, 0, 36, 100, 0, 36, 64, 0, 32, -8, 0, 84, 20, 0, 124, 88, 0, -208, 72, 0, -8, -200, 0, 16, -12, 0, 0, 256, 0, 72, 56, 0, -8, 36, 0, -76, -80, 0, 88, -64, 0, -96, -92, 0, -8, 56, 0, 56, 24, 0, 104, -52, 0, 4, -20, 0, -8, -224, 0, 8, 16, 0, -144, -228, 0, 12, -16, 0, -52, -72, 0, -224, 4, 0, 24, 12, 0, -192, 192, 0, -40, 36, 0, 40, 4, 0, 4, -84, 0, 0, -64, 0, 64, -20, 0, 156, -28, 0, 180, -400, 0, 44, -36, 0, 56, 156, 0, 40, 36, 0, 8, 144, 0, -88, 8, 0, 60, -44, 0, 188, 0, 0, 0, -100, 0, 0, 68, 0, 48, -80, 0, 28, -24, 0, 40, -72, 0, 48, 40, 0, 24, 152, 0, -36, 32, 0, -112, -24, 0, 132, -4, 0, 12, 184, 0, -16, -8, 0, 8, -48, 0, -152, 120, 0, -48, -24, 0, -264, -20, 0, 44, 76, 0, 100, 240, 0, -48, -12, 0, -12, -12, 0, -8, -120, 0, 120, 64, 0, -120, 140, 0, 24, -12, 0, -48, 312, 0, -208, -92, 0, -16, 100, 0, 72, -160, 0, -4, 100, 0, -296, -92, 0, 16, -4, 0, -292, 40, 0, -72, 152, 0, 112, 12, 0, -4, 64, 0, -32, 0, 0, 208, 92, 0, 80, 32, 0, 52, -288, 0, -32, 8, 0, 4, -76, 0, 92, 8, 0, 0, -40, 0, 64, -88, 0, 24, 244, 0, 24, 104, 0, 136, 52, 0, -28, 20, 0, -56, -128, 0, 4, -136, 0, -8, -104, 0, 152, 36, 0, 44, -56, 0, -128, -76, 0, -32, -176, 0, 88, -96, 0, 12, 20, 0, 160, -88, 0, -28, -4, 0, -104, 72, 0, -8, -176, 0, -56, -72, 0, 64, -152, 0, -276, 0, 0, -128, -36, 0, 40, -36, 0, 8, -80, 0, 0, -32, 0, -24, -252, 0, 264, 48, 0, 28, -196, 0, -280, 16, 0, 56, 136, 0, 84, -232, 0, 40, -8, 0, 20, 24, 0, -68, 568, 0, -12, -12, 0, -24, -84, 0, 196, 8, 0, -8, 352, 0, 216, -44, 0, 52, 284, 0, 224, 16, 0, -20, -208, 0, 160, -28, 0, -16, -32, 0, 28, -64, 0, -112, -84, 0, -40, -64, 0, -8, 560, 0, -24, -12, 0, 128, 192, 0, -8, 4, 0, 52, -184, 0, -16, 0, 0, -56, -36, 0, 48, 104, 0, 20, 32, 0, -352, 36, 0, 24, -136, 0, -24, 216, 0, -48, -36, 0, 108, 16, 0, 196, -464, 0, 168, -256, 0, 8, -36, 0, -116, -20, 0, -88, -40, 0, -80, -20, 0, -76, 224, 0, 4, -8, 0, 132, 92, 0, -96, 164, 0, 4, 204, 0, 76, 176, 0, -216, -64, 0, 0, 96, 0, -124, 64, 0, 48, 24, 0, -256, -468, 0, -52, 68, 0, 0, 48, 0, -96, 36, 0, -108, 88, 0, -216, -152, 0, -32, 24, 0, 232, 8, 0, 80, 116, 0, -272, 72, 0, -48, -48, 0, -108, 0, 0, -164, -136, 0, 44, 28, 0, 32, -320, 0, -96, 20, 0, -20, -168, 0, 232, 8, 0, 12, 32, 0, 88, 24, 0, -60, 64, 0, 208, 108, 0, -24, -4, 0, -52, 40, 0, -40, -104, 0, -120, -256, 0, -72, -272, 0, -32, 32, 0, -32, 388, 0, -176, -92, 0, 4, 192, 0, 528, 0, 0, 64, -20, 0, -16, 312, 0, -20, -48, 0, 0, 32, 0, -80, -304, 0, 48, -216, 0, 32, 0, 0, -136, 12, 0, 180, 408, 0, -64, 128, 0, 168], 'weight': 2, 'weight_parity': 1}

Column	Type
conductor	integer
degree	integer
order	integer
parity	smallint
source_conrey_index	integer
source_dim	integer
source_embedding_index	integer
source_hecke_orbit_code	bigint
source_is_minimal	boolean
source_label	text
source_level	integer
target_conrey_index	integer
target_dim	integer
target_embedding_index	integer
target_hecke_orbit_code	bigint
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_conrey_index	integer
weight	smallint

mf_twists_cc • Show schema

id: 48365337
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 991, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90072679775733098, 'source_is_minimal': True, 'source_label': '1386.2.k.u.991.1', 'source_level': 1386, 'target_conrey_index': 991, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90072679775733098, 'target_is_minimal': True, 'target_label': '1386.2.k.u.991.1', 'target_level': 1386, 'twist_class_label': '1386.2.k.q.793.2', 'twist_class_level': 1386, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 48365338
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 991, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90072679775733098, 'source_is_minimal': True, 'source_label': '1386.2.k.u.991.1', 'source_level': 1386, 'target_conrey_index': 991, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72058281266251114, 'target_is_minimal': True, 'target_label': '1386.2.k.q.991.2', 'target_level': 1386, 'twist_class_label': '1386.2.k.q.793.2', 'twist_class_level': 1386, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 48365339
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 991, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90072679775733098, 'source_is_minimal': True, 'source_label': '1386.2.k.u.991.1', 'source_level': 1386, 'target_conrey_index': 793, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90072679775733098, 'target_is_minimal': True, 'target_label': '1386.2.k.u.793.1', 'target_level': 1386, 'twist_class_label': '1386.2.k.q.793.2', 'twist_class_level': 1386, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 48365340
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 991, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90072679775733098, 'source_is_minimal': True, 'source_label': '1386.2.k.u.991.1', 'source_level': 1386, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 328762772831610342, 'target_is_minimal': False, 'target_label': '9702.2.a.cv.1.1', 'target_level': 9702, 'twist_class_label': '1386.2.k.q.793.2', 'twist_class_level': 1386, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 48365341
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 991, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90072679775733098, 'source_is_minimal': True, 'source_label': '1386.2.k.u.991.1', 'source_level': 1386, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 274719577303164390, 'target_is_minimal': False, 'target_label': '9702.2.a.cj.1.2', 'target_level': 9702, 'twist_class_label': '1386.2.k.q.793.2', 'twist_class_level': 1386, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
id: 48365342
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 991, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90072679775733098, 'source_is_minimal': True, 'source_label': '1386.2.k.u.991.1', 'source_level': 1386, 'target_conrey_index': 793, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72058281266251114, 'target_is_minimal': True, 'target_label': '1386.2.k.q.793.2', 'target_level': 1386, 'twist_class_label': '1386.2.k.q.793.2', 'twist_class_level': 1386, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 48365343
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 991, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90072679775733098, 'source_is_minimal': True, 'source_label': '1386.2.k.u.991.1', 'source_level': 1386, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 432345564261131750, 'target_is_minimal': False, 'target_label': '9702.2.a.ds.1.1', 'target_level': 9702, 'twist_class_label': '1386.2.k.q.793.2', 'twist_class_level': 1386, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 48365344
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 991, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90072679775733098, 'source_is_minimal': True, 'source_label': '1386.2.k.u.991.1', 'source_level': 1386, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 351280770968462822, 'target_is_minimal': False, 'target_label': '9702.2.a.da.1.2', 'target_level': 9702, 'twist_class_label': '1386.2.k.q.793.2', 'twist_class_level': 1386, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 1911475
{'charpoly_factorization': [[[1, -1, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 2}
id: 1911476
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 90072679775733098, 'p': 3}
id: 1911477
{'charpoly_factorization': [[[1, 2, 5, -2, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 5}
id: 1911478
{'charpoly_factorization': [[[49, 14, -3, 2, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 7}
id: 1911479
{'charpoly_factorization': [[[1, -1, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 11}
id: 1911480
{'charpoly_factorization': [[[8, 8, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 13}
id: 1911481
{'charpoly_factorization': [[[289, 170, 83, 10, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 17}
id: 1911482
{'charpoly_factorization': [[[16, 16, 20, -4, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 19}
id: 1911483
{'charpoly_factorization': [[[289, 34, 21, -2, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 23}
id: 1911484
{'charpoly_factorization': [[[-8, 0, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 29}
id: 1911485
{'charpoly_factorization': [[[4624, -272, 84, 4, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 31}
id: 1911486
{'charpoly_factorization': [[[256, -128, 80, 8, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 37}
id: 1911487
{'charpoly_factorization': [[[-31, -2, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 41}
id: 1911488
{'charpoly_factorization': [[[-8, 0, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 43}
id: 1911489
{'charpoly_factorization': [[[49, 70, 93, 10, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 47}
id: 1911490
{'charpoly_factorization': [[[3136, 896, 200, 16, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 53}
id: 1911491
{'charpoly_factorization': [[[784, 112, 44, -4, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 59}
id: 1911492
{'charpoly_factorization': [[[49, -42, 29, -6, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 61}
id: 1911493
{'charpoly_factorization': [[[2209, 470, 147, -10, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 67}
id: 1911494
{'charpoly_factorization': [[[-124, 4, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 71}
id: 1911495
{'charpoly_factorization': [[[16, 16, 20, -4, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 73}
id: 1911496
{'charpoly_factorization': [[[3969, 1134, 261, 18, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 79}
id: 1911497
{'charpoly_factorization': [[[41, -14, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 83}
id: 1911498
{'charpoly_factorization': [[[3136, 448, 120, -8, 1], 1]], 'hecke_orbit_code': 90072679775733098, 'p': 89}
id: 1911499
{'charpoly_factorization': [[[161, 26, 1], 2]], 'hecke_orbit_code': 90072679775733098, 'p': 97}

Column	Type
char_orbit_index	smallint
hecke_orbit	integer
label	text
level	integer
portrait	text
weight	smallint

mf_newform_portraits • Show schema

{'char_orbit_index': 11, 'hecke_orbit': 21, 'label': '1386.2.k.u', 'level': 1386, 'portrait': 'data:image/png;base64,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', 'weight': 2}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 64764685
{'hecke_orbit_code': 90072679775733098, 'n': 1, 'trace_an': 4}
id: 64764686
{'hecke_orbit_code': 90072679775733098, 'n': 2, 'trace_an': 2}
id: 64764687
{'hecke_orbit_code': 90072679775733098, 'n': 3, 'trace_an': 0}
id: 64764688
{'hecke_orbit_code': 90072679775733098, 'n': 4, 'trace_an': -2}
id: 64764689
{'hecke_orbit_code': 90072679775733098, 'n': 5, 'trace_an': 2}
id: 64764690
{'hecke_orbit_code': 90072679775733098, 'n': 6, 'trace_an': 0}
id: 64764691
{'hecke_orbit_code': 90072679775733098, 'n': 7, 'trace_an': -2}
id: 64764692
{'hecke_orbit_code': 90072679775733098, 'n': 8, 'trace_an': -4}
id: 64764693
{'hecke_orbit_code': 90072679775733098, 'n': 9, 'trace_an': 0}
id: 64764694
{'hecke_orbit_code': 90072679775733098, 'n': 10, 'trace_an': -2}
id: 64764695
{'hecke_orbit_code': 90072679775733098, 'n': 11, 'trace_an': 2}
id: 64764696
{'hecke_orbit_code': 90072679775733098, 'n': 12, 'trace_an': 0}
id: 64764697
{'hecke_orbit_code': 90072679775733098, 'n': 13, 'trace_an': -16}
id: 64764698
{'hecke_orbit_code': 90072679775733098, 'n': 14, 'trace_an': 2}
id: 64764699
{'hecke_orbit_code': 90072679775733098, 'n': 15, 'trace_an': 0}
id: 64764700
{'hecke_orbit_code': 90072679775733098, 'n': 16, 'trace_an': -2}
id: 64764701
{'hecke_orbit_code': 90072679775733098, 'n': 17, 'trace_an': -10}
id: 64764702
{'hecke_orbit_code': 90072679775733098, 'n': 18, 'trace_an': 0}
id: 64764703
{'hecke_orbit_code': 90072679775733098, 'n': 19, 'trace_an': 4}
id: 64764704
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{'hecke_orbit_code': 90072679775733098, 'n': 823, 'trace_an': 60}
id: 64764916
{'hecke_orbit_code': 90072679775733098, 'n': 827, 'trace_an': -20}
id: 64764917
{'hecke_orbit_code': 90072679775733098, 'n': 829, 'trace_an': 56}
id: 64764918
{'hecke_orbit_code': 90072679775733098, 'n': 839, 'trace_an': 52}
id: 64764919
{'hecke_orbit_code': 90072679775733098, 'n': 841, 'trace_an': -84}
id: 64764920
{'hecke_orbit_code': 90072679775733098, 'n': 853, 'trace_an': -76}
id: 64764921
{'hecke_orbit_code': 90072679775733098, 'n': 857, 'trace_an': 66}
id: 64764922
{'hecke_orbit_code': 90072679775733098, 'n': 859, 'trace_an': 34}
id: 64764923
{'hecke_orbit_code': 90072679775733098, 'n': 863, 'trace_an': -2}
id: 64764924
{'hecke_orbit_code': 90072679775733098, 'n': 877, 'trace_an': -18}
id: 64764925
{'hecke_orbit_code': 90072679775733098, 'n': 881, 'trace_an': -104}
id: 64764926
{'hecke_orbit_code': 90072679775733098, 'n': 883, 'trace_an': 36}
id: 64764927
{'hecke_orbit_code': 90072679775733098, 'n': 887, 'trace_an': 28}
id: 64764928
{'hecke_orbit_code': 90072679775733098, 'n': 907, 'trace_an': -50}
id: 64764929
{'hecke_orbit_code': 90072679775733098, 'n': 911, 'trace_an': -116}
id: 64764930
{'hecke_orbit_code': 90072679775733098, 'n': 919, 'trace_an': 26}
id: 64764931
{'hecke_orbit_code': 90072679775733098, 'n': 929, 'trace_an': -36}
id: 64764932
{'hecke_orbit_code': 90072679775733098, 'n': 937, 'trace_an': 24}
id: 64764933
{'hecke_orbit_code': 90072679775733098, 'n': 941, 'trace_an': 68}
id: 64764934
{'hecke_orbit_code': 90072679775733098, 'n': 947, 'trace_an': -20}
id: 64764935
{'hecke_orbit_code': 90072679775733098, 'n': 953, 'trace_an': -20}
id: 64764936
{'hecke_orbit_code': 90072679775733098, 'n': 961, 'trace_an': -90}
id: 64764937
{'hecke_orbit_code': 90072679775733098, 'n': 967, 'trace_an': 52}
id: 64764938
{'hecke_orbit_code': 90072679775733098, 'n': 971, 'trace_an': -20}
id: 64764939
{'hecke_orbit_code': 90072679775733098, 'n': 977, 'trace_an': -4}
id: 64764940
{'hecke_orbit_code': 90072679775733098, 'n': 983, 'trace_an': 82}
id: 64764941
{'hecke_orbit_code': 90072679775733098, 'n': 991, 'trace_an': -56}
id: 64764942
{'hecke_orbit_code': 90072679775733098, 'n': 997, 'trace_an': -56}

Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$
Elliptic curves over $\Q(\alpha)$
Genus 2 curves over $\Q$
Higher genus families
Abelian varieties over $\F_{q}$

Introduction

L-functions

Modular forms

Varieties

Fields

Representations

Groups

Database

This project is supported by grants from the US National Science Foundation, the UK Engineering and Physical Sciences Research Council, and the Simons Foundation.