LMFDB - Embedded newform data - 6048.2.c.f.3025.22

Formats: - HTML - YAML - JSON - 2025-09-19T22:11:57.162969

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': 24192, 'analytic_conductor': 48.29352314247038, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [6048, 2, [4159, 3781, 3809, 2593], [2, 1, 2, 2]], 'cm_discs': [], 'conrey_index': 3025, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4624, 0, 10952, 0, 8801, 0, 3036, 0, 486, 0, 36, 0, 1]], [17, [63, 0, -252108, 0, 197515, 0, -41296, 0, 3253, 0, -100, 0, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22518135609366432, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 24, 8, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '6048.2.c.f', 'level': 6048, '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], 'level_radical': 42, 'minimal_twist': '1512.2.c.g', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6048.2.c', 'trace_display': [0, 0, 0, -24], 'traces': [24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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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

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-0.4887027389541914, -0.3711530806297057, -0.2696839583747393, 0.0072580583441750664, -0.08233023059975693], 'char_orbit_index': 3, 'conrey_index': 3025, 'dual_conrey_index': 3025, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 22, 'embedding_m': 22, 'hecke_orbit': 6, 'hecke_orbit_code': 22518135609366432, 'label': '6048.2.c.f.3025.22', 'level': 6048, 'weight': 2}

Column	Type
ALdims	integer[]
ALdims_eis_new	integer[]
ALdims_eis_old	integer[]
ALdims_old	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': 24192, 'analytic_conductor': 48.29352314247038, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [6048, 2, [4159, 3781, 3809, 2593], [2, 1, 2, 2]], 'conrey_index': 3025, 'cusp_dim': 1104, 'dim': 96, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 17], 'hecke_orbit_code': 137472513952, 'hecke_orbit_dims': [2, 2, 8, 16, 20, 24, 24], 'label': '6048.2.c', 'level': 6048, '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], 'level_radical': 42, 'mf_dim': 1200, 'mf_new_dim': 96, 'num_forms': 7, 'prim_orbit_index': 2, 'relative_dim': 96, 'sturm_bound': 2304, 'trace_bound': 31, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0], '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: 45134745
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 3025, 'source_dim': 24, 'source_embedding_index': 22, 'source_hecke_orbit_code': 22518135609366432, 'source_is_minimal': False, 'source_label': '6048.2.c.f.3025.22', 'source_level': 6048, 'target_conrey_index': 3025, 'target_dim': 24, 'target_embedding_index': 22, 'target_hecke_orbit_code': 22518135609366432, 'target_is_minimal': False, 'target_label': '6048.2.c.f.3025.22', 'target_level': 6048, 'twist_class_label': '1512.2.c.g.757.11', 'twist_class_level': 1512, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 45134746
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 3025, 'source_dim': 24, 'source_embedding_index': 22, 'source_hecke_orbit_code': 22518135609366432, 'source_is_minimal': False, 'source_label': '6048.2.c.f.3025.22', 'source_level': 6048, 'target_conrey_index': 3025, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518135609366432, 'target_is_minimal': False, 'target_label': '6048.2.c.f.3025.4', 'target_level': 6048, 'twist_class_label': '1512.2.c.g.757.11', 'twist_class_level': 1512, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 45134747
{'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 3025, 'source_dim': 24, 'source_embedding_index': 22, 'source_hecke_orbit_code': 22518135609366432, 'source_is_minimal': False, 'source_label': '6048.2.c.f.3025.22', 'source_level': 6048, 'target_conrey_index': 757, 'target_dim': 24, 'target_embedding_index': 14, 'target_hecke_orbit_code': 27021735236732392, 'target_is_minimal': True, 'target_label': '1512.2.c.g.757.14', 'target_level': 1512, 'twist_class_label': '1512.2.c.g.757.11', 'twist_class_level': 1512, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 45134748
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 3025, 'source_dim': 24, 'source_embedding_index': 22, 'source_hecke_orbit_code': 22518135609366432, 'source_is_minimal': False, 'source_label': '6048.2.c.f.3025.22', 'source_level': 6048, 'target_conrey_index': 757, 'target_dim': 24, 'target_embedding_index': 13, 'target_hecke_orbit_code': 27021735236732392, 'target_is_minimal': True, 'target_label': '1512.2.c.g.757.13', 'target_level': 1512, 'twist_class_label': '1512.2.c.g.757.11', 'twist_class_level': 1512, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 45134749
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 3025, 'source_dim': 24, 'source_embedding_index': 22, 'source_hecke_orbit_code': 22518135609366432, 'source_is_minimal': False, 'source_label': '6048.2.c.f.3025.22', 'source_level': 6048, 'target_conrey_index': 3025, 'target_dim': 24, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518135609366432, 'target_is_minimal': False, 'target_label': '6048.2.c.f.3025.3', 'target_level': 6048, 'twist_class_label': '1512.2.c.g.757.11', 'twist_class_level': 1512, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 45134750
{'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 3025, 'source_dim': 24, 'source_embedding_index': 22, 'source_hecke_orbit_code': 22518135609366432, 'source_is_minimal': False, 'source_label': '6048.2.c.f.3025.22', 'source_level': 6048, 'target_conrey_index': 757, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 27021735236732392, 'target_is_minimal': True, 'target_label': '1512.2.c.g.757.11', 'target_level': 1512, 'twist_class_label': '1512.2.c.g.757.11', 'twist_class_level': 1512, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 45134751
{'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 3025, 'source_dim': 24, 'source_embedding_index': 22, 'source_hecke_orbit_code': 22518135609366432, 'source_is_minimal': False, 'source_label': '6048.2.c.f.3025.22', 'source_level': 6048, 'target_conrey_index': 3025, 'target_dim': 24, 'target_embedding_index': 21, 'target_hecke_orbit_code': 22518135609366432, 'target_is_minimal': False, 'target_label': '6048.2.c.f.3025.21', 'target_level': 6048, 'twist_class_label': '1512.2.c.g.757.11', 'twist_class_level': 1512, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 45134752
{'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 3025, 'source_dim': 24, 'source_embedding_index': 22, 'source_hecke_orbit_code': 22518135609366432, 'source_is_minimal': False, 'source_label': '6048.2.c.f.3025.22', 'source_level': 6048, 'target_conrey_index': 757, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 27021735236732392, 'target_is_minimal': True, 'target_label': '1512.2.c.g.757.12', 'target_level': 1512, 'twist_class_label': '1512.2.c.g.757.11', 'twist_class_level': 1512, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}

hecke_orbit_code 22518135609366432 does not appear in mf_hecke_charpolys

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': 3, 'hecke_orbit': 6, 'label': '6048.2.c.f', 'level': 6048, 'portrait': 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', 'weight': 2}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 44157967
{'hecke_orbit_code': 22518135609366432, 'n': 1, 'trace_an': 24}
id: 44157968
{'hecke_orbit_code': 22518135609366432, 'n': 2, 'trace_an': 0}
id: 44157969
{'hecke_orbit_code': 22518135609366432, 'n': 3, 'trace_an': 0}
id: 44157970
{'hecke_orbit_code': 22518135609366432, 'n': 4, 'trace_an': 0}
id: 44157971
{'hecke_orbit_code': 22518135609366432, 'n': 5, 'trace_an': 0}
id: 44157972
{'hecke_orbit_code': 22518135609366432, 'n': 6, 'trace_an': 0}
id: 44157973
{'hecke_orbit_code': 22518135609366432, 'n': 7, 'trace_an': -24}
id: 44157974
{'hecke_orbit_code': 22518135609366432, 'n': 8, 'trace_an': 0}
id: 44157975
{'hecke_orbit_code': 22518135609366432, 'n': 9, 'trace_an': 0}
id: 44157976
{'hecke_orbit_code': 22518135609366432, 'n': 10, 'trace_an': 0}
id: 44157977
{'hecke_orbit_code': 22518135609366432, 'n': 11, 'trace_an': 0}
id: 44157978
{'hecke_orbit_code': 22518135609366432, 'n': 12, 'trace_an': 0}
id: 44157979
{'hecke_orbit_code': 22518135609366432, 'n': 13, 'trace_an': 0}
id: 44157980
{'hecke_orbit_code': 22518135609366432, 'n': 14, 'trace_an': 0}
id: 44157981
{'hecke_orbit_code': 22518135609366432, 'n': 15, 'trace_an': 0}
id: 44157982
{'hecke_orbit_code': 22518135609366432, 'n': 16, 'trace_an': 0}
id: 44157983
{'hecke_orbit_code': 22518135609366432, 'n': 17, 'trace_an': 0}
id: 44157984
{'hecke_orbit_code': 22518135609366432, 'n': 18, 'trace_an': 0}
id: 44157985
{'hecke_orbit_code': 22518135609366432, 'n': 19, 'trace_an': 0}
id: 44157986
{'hecke_orbit_code': 22518135609366432, 'n': 20, 'trace_an': 0}
id: 44157987
{'hecke_orbit_code': 22518135609366432, 'n': 21, 'trace_an': 0}
id: 44157988
{'hecke_orbit_code': 22518135609366432, 'n': 22, 'trace_an': 0}
id: 44157989
{'hecke_orbit_code': 22518135609366432, 'n': 23, 'trace_an': 0}
id: 44157990
{'hecke_orbit_code': 22518135609366432, 'n': 24, 'trace_an': 0}
id: 44157991
{'hecke_orbit_code': 22518135609366432, 'n': 25, 'trace_an': -24}
id: 44157992
{'hecke_orbit_code': 22518135609366432, 'n': 26, 'trace_an': 0}
id: 44157993
{'hecke_orbit_code': 22518135609366432, 'n': 27, 'trace_an': 0}
id: 44157994
{'hecke_orbit_code': 22518135609366432, 'n': 28, 'trace_an': 0}
id: 44157995
{'hecke_orbit_code': 22518135609366432, 'n': 29, 'trace_an': 0}
id: 44157996
{'hecke_orbit_code': 22518135609366432, 'n': 30, 'trace_an': 0}
id: 44157997
{'hecke_orbit_code': 22518135609366432, 'n': 31, 'trace_an': -8}
id: 44157998
{'hecke_orbit_code': 22518135609366432, 'n': 32, 'trace_an': 0}
id: 44157999
{'hecke_orbit_code': 22518135609366432, 'n': 33, 'trace_an': 0}
id: 44158000
{'hecke_orbit_code': 22518135609366432, 'n': 34, 'trace_an': 0}
id: 44158001
{'hecke_orbit_code': 22518135609366432, 'n': 35, 'trace_an': 0}
id: 44158002
{'hecke_orbit_code': 22518135609366432, 'n': 36, 'trace_an': 0}
id: 44158003
{'hecke_orbit_code': 22518135609366432, 'n': 37, 'trace_an': 0}
id: 44158004
{'hecke_orbit_code': 22518135609366432, 'n': 38, 'trace_an': 0}
id: 44158005
{'hecke_orbit_code': 22518135609366432, 'n': 39, 'trace_an': 0}
id: 44158006
{'hecke_orbit_code': 22518135609366432, 'n': 40, 'trace_an': 0}
id: 44158007
{'hecke_orbit_code': 22518135609366432, 'n': 41, 'trace_an': 0}
id: 44158008
{'hecke_orbit_code': 22518135609366432, 'n': 42, 'trace_an': 0}
id: 44158009
{'hecke_orbit_code': 22518135609366432, 'n': 43, 'trace_an': 0}
id: 44158010
{'hecke_orbit_code': 22518135609366432, 'n': 44, 'trace_an': 0}
id: 44158011
{'hecke_orbit_code': 22518135609366432, 'n': 45, 'trace_an': 0}
id: 44158012
{'hecke_orbit_code': 22518135609366432, 'n': 46, 'trace_an': 0}
id: 44158013
{'hecke_orbit_code': 22518135609366432, 'n': 47, 'trace_an': 0}
id: 44158014
{'hecke_orbit_code': 22518135609366432, 'n': 48, 'trace_an': 0}
id: 44158015
{'hecke_orbit_code': 22518135609366432, 'n': 49, 'trace_an': 24}
id: 44158016
{'hecke_orbit_code': 22518135609366432, 'n': 50, 'trace_an': 0}
id: 44158017
{'hecke_orbit_code': 22518135609366432, 'n': 51, 'trace_an': 0}
id: 44158018
{'hecke_orbit_code': 22518135609366432, 'n': 52, 'trace_an': 0}
id: 44158019
{'hecke_orbit_code': 22518135609366432, 'n': 53, 'trace_an': 0}
id: 44158020
{'hecke_orbit_code': 22518135609366432, 'n': 54, 'trace_an': 0}
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id: 44158168
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id: 44158170
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id: 44158171
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id: 44158208
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id: 44158210
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id: 44158211
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id: 44158213
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id: 44158214
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id: 44158215
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id: 44158216
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id: 44158217
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id: 44158218
{'hecke_orbit_code': 22518135609366432, 'n': 961, 'trace_an': 160}
id: 44158219
{'hecke_orbit_code': 22518135609366432, 'n': 967, 'trace_an': -32}
id: 44158220
{'hecke_orbit_code': 22518135609366432, 'n': 971, 'trace_an': 0}
id: 44158221
{'hecke_orbit_code': 22518135609366432, 'n': 977, 'trace_an': 0}
id: 44158222
{'hecke_orbit_code': 22518135609366432, 'n': 983, 'trace_an': 0}
id: 44158223
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{'hecke_orbit_code': 22518135609366432, 'n': 997, 'trace_an': 0}

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 $\F_{q}$
Belyi maps

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.