LMFDB - Embedded newform data - 1638.2.dm.c.415.6

Formats: - HTML - YAML - JSON - 2025-09-13T17:43:35.586373

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': 6552, 'analytic_conductor': 13.079495851085728, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 91, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 91, 'char_orbit_label': 'dm', 'char_order': 6, 'char_parity': 1, 'char_values': [1638, 6, [911, 703, 379], [6, 2, 3]], 'cm_discs': [], 'conrey_index': 415, 'dim': 12, 'field_disc': 752609431977984, 'field_disc_factorization': [[2, 16], [3, 14], [7, 4]], 'field_poly': [49, 0, 21, 0, 270, 0, -247, 0, 90, 0, -15, 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, [16, 0, -144, 0, 1248, 0, -424, 0, 108, 0, -12, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9013384041203302, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 2, 1, 2, 0], [1, 1, 7, 3, 1, 3, 0], [1, 1, 91, 18, 1, 6, 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': False, 'label': '1638.2.dm.c', 'level': 1638, '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, 13], 'level_radical': 546, 'minimal_twist': '546.2.bk.b', 'nf_label': '12.0.752609431977984.1', 'prim_orbit_index': 18, 'qexp_display': 'q-\\beta _{6}q^{2}+\\beta _{2}q^{4}+\\beta _{8}q^{5}+(-\\beta _{6}+\\beta _{10}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1638.2.dm', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1923816775487621152, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.070', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.721', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '757.272', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '117267.916', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.515', 'prec': 17}, 'traces': [12, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 12, 18, 0, -6, -18, 0, 0, 0, 0, 12, 0, 0, -6, 0, 0, 0, -12, 0, 0, 0, 0, 0, -24, 0, 0, 6, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -18, 0, 0, 6, 18, 0, 48, 6, 0, 0, 0, 0, 6, 48, 0, -12, 12, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 24, 0, 0, -12, 0, 0, 0, 0, 0, 6, 0, 0, -24, 0, 0, 6, -24, 0, 0, 0, 0, 6, 36, 0, -48, 0, 0, 0, 12, 0, 0, 0, 0, 0, 12, 0, 0, -6, 0, -12, 0, 0, -36, 0, 0, 0, 0, 0, -48, 0, 0, 24, -48, 0, 42, -12, 0, 0, 0, 0, 24, -36, 0, 18, -12, 0, 0, 48, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, -36, 12, 0, 12, 42, 0, 0, 0, 0, -48, -48, 0, -132, -6, 0, 0, -12, 0, 0, 0, 0, 0, -24, 0, 0, -48, 0, -6, 0, 0, 72, 0, 0, 0, 0, 0, 60, 0, 0, -6, -36, 0, 120, -18, 0, 0, 0, 0, 48, 96, 0, 24, -30, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, -90, 0, -72, 0, 0, -42, 0, 0, 0, 0, 0, 12, 0, 0, -96, 24, 0, -12, -72, 0, 0, 0, 0, -6, 60, 0, 12, 24, 0, 0, -48, 0, 0, 0, 0, 0, -18, 0, 0, 36, 0, 120, 0, 0, -66, 0, 0, 0, 0, 0, -60, 0, 0, 60, 60, 0, 0, -60, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -6, 0, 0, -12, 0, 108, 0, 0, 48, 0, 0, 0, 0, 0, 84, 0, 0, 6, 54, 0, -24, 90, 0, 0, 0, 0, -6, -144, 0, -36, 24, 0, 0, 24, 0, 0, 0, 0, 0, 144, 0, 0, -66, 0, -6, 0, 0, 12, 0, 0, 0, 0, 0, 84, 0, 0, -36, 192, 0, 12, 0, 0, 0, 0, 0, -18, -30, 0, -6, -132, 0, 0, 24, 0, 0, 0, 0, 0, -72, 0, 0, -18, 0, 168, 0, 0, -60, 0, 0, 0, 0, 0, 12, 0, 0, 0, -36, 0, 42, -24, 0, 0, 0, 0, -96, -96, 0, 60, 0, 0, 0, 192, 0, 0, 0, 0, 0, -54, 0, 0, 24, 0, -24, 0, 0, -12, 0, 0, 0, 0, 0, -24, 0, 0, -96, 48, 0, 12, 102, 0, 0, 0, 0, -48, 6, 0, -96, 36, 0, 0, -48, 0, 0, 0, 0, 0, 6, 0, 0, -24, 0, -132, 0, 0, -6, 0, 0, 0, 0, 0, 6, 0, 0, -48, 48, 0, -72, 48, 0, 0, 0, 0, -132, 48, 0, 6, -18, 0, 0, 42, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, -24, 0, 0, 12, 0, 0, 0, 0, 0, -132, 0, 0, -24, -60, 0, 60, -96, 0, 0, 0, 0, -30, 0, 0, -42, -144, 0, 0, -6, 0, 0, 0, 0, 0, 66, 0, 0, 144, 0, 72, 0, 0, 6, 0, 0, 0, 0, 0, 12, 0, 0, -24, -12, 0, 96, 0, 0, 0, 0, 0, 36, -90, 0, 12, 12, 0, 0, 168, 0, 0, 0, 0, 0, -72, 0, 0, 24, 0, 108, 0, 0, 48, 0, 0, 0, 0, 0, 84, 0, 0, 84, 36, 0, 108, 60, 0, 0, 0, 0, -60, -12, 0, -120, 48, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, -156, 0, 66, 0, 0, 42, 0, 0, 0, 0, 0, 60, 0, 0, -78, -132, 0, 0, 144, 0, 0, 0, 0, -78, 180, 0, -90, -72, 0, 0, 36, 0, 0, 0, 0, 0, 216, 0, 0, -24, 0, 72, 0, 0, -84, 0, 0, 0, 0, 0, 120, 0, 0, -18, 18, 0, 204, 24, 0, 0, 0, 0, -72, -78, 0, -12, 18, 0, 0, 84, 0, 0, 0, 0, 0, 36, 0, 0, -24, 0, 96, 0, 0, -72, 0, 0, 0, 0, 0, 48, 0, 0, 120, 48, 0, 0, -84, 0, 0, 0, 0, -66, -66, 0, -96, -30, 0, 0, 60, 0, 0, 0, 0, 0, -78, 0, 0, 12, 0, 18, 0, 0, 48, 0, 0, 0, 0, 0, 156, 0, 0, 12, -240, 0, 84, -48, 0, 0, 0, 0, 48, -48, 0, -24, 0, 0, 0, 36, 0, 0, 0, 0, 0, -96, 0, 0, -156, 0, -30, 0, 0, 12, 0, 0, 0, 0, 0, -144, 0, 0, -54, -60, 0, -72, -216, 0, 0, 0, 0, 36, 120, 0, 0, 48, 0, 0, -114, 0, 0, 0, 0, 0, -60, 0, 0, 72, 0, 120, 0, 0, 156, 0, 0, 0, 0, 0, 54, 0, 0, -12, 126, 0, 132, -18, 0, 0, 0, 0, 48, -24, 0, 60, -48, 0, 0, -36, 0, 0, 0, 0, 0, 24, 0, 0, -30, 0, -108, 0, 0, -144, 0, 0, 0, 0, 0, 72, 0, 0, -48, 48, 0, 336, 156, 0, 0, 0, 0, -24, 264, 0, -240, 30, 0, 0, 12, 0, 0, 0, 0, 0, -90, 0, 0, -18, 0, -84, 0, 0, 54, 0, 0, 0, 0, 0, 24, 0, 0, 48, 168, 0, -96, 24, 0, 0, 0, 0, -156, 0, 0, -24, 72, 0, 0, -144, 0, 0, 0, 0, 0, -180, 0, 0, -48, 0, 420, 0, 0, 72, 0, 0, 0, 0, 0, -24, 0, 0, -132, -66, 0, 0, -372, 0, 0, 0, 0, -12, 60, 0, -90, -12, 0, 0, 240, 0, 0, 0, 0, 0, -120, 0, 0, -276, 0, 6, 0, 0, -72, 0, 0, 0, 0, 0, -72, 0, 0, -192, 168, 0, -120, -24, 0, 0, 0, 0, 186, 72, 0, -24, 132, 0, 0, -36, 0, 0, 0, 0, 0, 36, 0, 0, -102, 0, -84, 0, 0, 36, 0, 0, 0, 0, 0, 6, 0, 0, -48, 120, 0, -96, 144, 0, 0, 0, 0, -24, 108, 0, -144, 12, 0, 0, -48, 0, 0, 0, 0, 0, 36, 0, 0, 48, 0, -72, 0, 0, -144, 0, 0, 0, 0, 0, -192, 0, 0, 48, 0, 0, 246, -240, 0, 0, 0, 0, 60, 18, 0, -78, -312, 0, 0, -60, 0, 0, 0, 0, 0, 18, 0, 0, 288, 0, 156, 0, 0, 60, 0, 0, 0, 0, 0, -30, 0, 0, 48, -72, 0, 66, 132, 0, 0, 0, 0, 336, -72, 0, 78, -96, 0, 0, -12, 0, 0, 0, 0, 0, 168, 0, 0, 120, 0, 60, 0, 0, -48, 0, 0, 0, 0, 0, 222, 0, 0, 30, -96, 0, 0, -36, 0, 0, 0, 0, -102, 120, 0, 0, 48, 0, 0, 60, 0, 0, 0, 0, 0, 18, 0, 0, -6, 0, -72, 0, 0, -42, 0, 0, 0, 0, 0, -84, 0, 0, -96, 0, 0, -24, 144, 0, 0, 0, 0, 0, 54, 0, -180, 0, 0, 0, 120, 0, 0, 0, 0, 0, 144, 0, 0, -42, 0, 120, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, -66, 84, 0, -18, 360, 0, 0, 0, 0, 168, -30, 0, 60, 72, 0, 0, 192, 0, 0, 0, 0, 0, 12, 0, 0, -72, 0, 180, 0, 0, 216, 0, 0, 0, 0, 0, -48, 0, 0, 120, 228, 0, 24, 84, 0, 0, 0, 0, 12, 48, 0, -204, -48, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 30, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 102, 0, 0, -6, -84, 0, 192, -54, 0, 0, 0, 0, -42, 216, 0, -12, 0, 0, 0, 198, 0, 0, 0, 0, 0, 24, 0, 0, 18, 0, 48, 0, 0, -84, 0, 0, 0, 0, 0, -12, 0, 0, -96, -72, 0, -54, -240, 0, 0, 0, 0, -18, 90, 0, -12, 48, 0, 0, -120, 0, 0, 0, 0, 0, -246, 0, 0, 48, 0, -96, 0, 0, -174, 0, 0, 0, 0, 0, -84, 0, 0, 0, -48, 0, 246, -6, 0, 0, 0, 0, -480, -144, 0, 0, -108, 0, 0, -72, 0, 0, 0, 0, 0, -36, 0, 0, -84, 0, -48, 0, 0, -12, 0, 0, 0, 0, 0, 48, 0, 0, -120, 120, 0, 24, 42, 0, 0, 0, 0, 0, -240, 0, -180, -24, 0, 0, -288, 0, 0, 0, 0, 0, -84, 0, 0, -288, 0, -84, 0, 0, 228, 0, 0, 0, 0, 0, 114, 0, 0, -12, 48, 0, -120, 96, 0, 0, 0, 0, 24, -48, 0, -12, 252, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, -282, 0, 168, 0, 0, 30, 0, 0, 0, 0, 0, -36, 0, 0, -84, 30, 0, 48, -72, 0, 0, 0, 0, -12, -192, 0, 24, -66, 0, 0, 240, 0, 0, 0, 0, 0, -72, 0, 0, 48, 0, -96, 0, 0, 12, 0, 0, 0, 0, 0, 60, 0, 0, -180, 96, 0, -18, 144, 0, 0, 0, 0, 216, -36, 0, -120, 84, 0, 0, -24, 0, 0, 0, 0, 0, 18, 0, 0, -12, 0, -210, 0, 0, 84, 0, 0, 0, 0, 0, 24, 0, 0, 24, 180, 0, -120, -276, 0, 0, 0, 0, -102, 48, 0, 24, 72, 0, 0, -192, 0, 0, 0, 0, 0, -312, 0, 0, 66, 0, 6, 0, 0, -48, 0, 0, 0, 0, 0, -372, 0, 0, 0, -162, 0, 60, -72, 0, 0, 0, 0, 18, 96, 0, 126, -96, 0, 0, -12, 0, 0, 0, 0, 0, 204, 0, 0, 132, 0, 96, 0, 0, -60, 0, 0, 0, 0, 0, -48, 0, 0, -24, 66, 0, 102, 300, 0, 0, 0, 0, 120, -162, 0, 48, 0, 0, 0, -312, 0, 0, 0, 0, 0, -66, 0, 0, 96, 0, 54, 0, 0, 60, 0, 0, 0, 0, 0, 168, 0, 0, 120, -144, 0, -24, 0, 0, 0, 0, 0, 24, -108, 0, 168, 60, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 0, -288, 0, 48, 0, 0, 24, 0, 0, 0, 0, 0, 24, 0, 0, -126, -408, 0, -6, 186, 0, 0, 0, 0, -48, -48, 0, -24, -156, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, -48, 0, 0, -132, 0, 0, 0, 0, 0, 432, 0, 0, -48, 102, 0, 168, 96, 0, 0, 0, 0, -552, -84, 0, -12, -24, 0, 0, 204, 0, 0, 0, 0, 0, 72, 0, 0, -12, 0, 108, 0, 0, -48, 0, 0, 0, 0, 0, 48, 0, 0, 24, -6, 0, 84, -144, 0, 0, 0, 0, -48, 168, 0, 216, -72, 0, 0, 96, 0, 0, 0, 0, 0, -24, 0, 0, 48, 0, 84, 0, 0, -126, 0, 0, 0, 0, 0, 72, 0, 0, 30, -120, 0, -84, -36, 0, 0, 0, 0, -108, 12, 0, -48, 24, 0, 0, 210, 0, 0, 0, 0, 0, -48, 0, 0, 12, 0, 6, 0, 0, 54, 0, 0, 0, 0, 0, -48, 0, 0, 36, 84, 0, 6, -372, 0, 0, 0, 0, 150, 48, 0, 318, 240, 0, 0, -78, 0, 0, 0, 0, 0, -180, 0, 0, -144, 0, 12, 0, 0, 60, 0, 0, 0, 0, 0, 90, 0, 0, -96, -18, 0, -108, 24, 0, 0, 0, 0, -480, -18, 0, -36, -60, 0, 0, 96, 0, 0, 0, 0, 0, 36, 0, 0, -18, 0, -60, 0, 0, -336, 0, 0, 0, 0, 0, -72, 0, 0, 60, 24, 0, 300, 0, 0, 0, 0, 0, -6, 132, 0, -288, 18, 0, 0, -96, 0, 0, 0, 0, 0, 156, 0, 0, 84, 0, -180, 0, 0, 30, 0, 0, 0, 0, 0, 72, 0], 'weight': 2, 'weight_parity': 1}

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], [0.6123724356957945, 0.3535533905932738], [0.0, 0.0], [0.25, 0.4330127018922193], [1.0076259949958826, 0.5817531394533373], [0.0, 0.0], [0.5637719393354091, 0.8259305058042061], [0.0, 0.3535533905932738], [0.0, 0.0], [0.41136158988401805, 0.7124991739614308], [0.9404577911741583, -0.5429735588958812], [0.0, 0.0], [0.9989260605979493, 0.046332768730804136], [0.0532278649462716, 0.7051005562281606], [0.0, 0.0], [-0.125, 0.21650635094610965], [-0.3435450221072717, -0.5950374329771678], [0.0, 0.0], [0.26506084833204974, 0.1530329521361395], [0.0, 0.5817531394533373], [0.0, 0.0], [0.7678805710005416, 0.0], [0.30607721146983874, -0.5301412813047642], [0.0, 0.0], [0.1768734305276283, 0.3063537681828563], [0.5953336773280212, 0.38154660611659946], [0.0, 0.0], [-0.2166954150596343, 0.45060303715369343], [-1.666075763764178, 0.0], [0.0, 0.0], [0.6221710168382552, -0.3592106040535498], [-0.15309310892394862, 0.08838834764831845], [0.0, 0.0], [0.0, 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'embedding_root_real': 0.3851244839228555, 'hecke_orbit': 3, 'hecke_orbit_code': 9013384041203302, 'label': '1638.2.dm.c.415.6', 'level': 1638, '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': 6552, 'analytic_conductor': 13.079495851085728, 'char_conductor': 91, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 91, 'char_orbit_label': 'dm', 'char_order': 6, 'char_parity': 1, 'char_values': [1638, 6, [911, 703, 379], [6, 2, 3]], 'conrey_index': 415, 'cusp_dim': 640, 'dim': 96, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 6184786462310, 'hecke_orbit_dims': [4, 8, 12, 12, 20, 40], 'label': '1638.2.dm', 'level': 1638, '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, 13], 'level_radical': 546, 'mf_dim': 704, 'mf_new_dim': 96, 'num_forms': 6, 'prim_orbit_index': 18, 'relative_dim': 48, 'sturm_bound': 672, 'trace_bound': 10, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 48, 0, 0, 0, 0, 0, -4, 0, 0, 4, 2, 0, -48, 6, 0, 0, 0, 0, -4, -4, 0, 60, 2, 0, 0, -12, 0, 0, 0, 0, 0, -20, 0, 0, 10, 0, 4, 0, 0, -32, 0, 0, 0, 0, 0, 26, 0, 0, 2, 26, 0, -8, 10, 0, 0, 0, 0, 22, -76, 0, -96, -20, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -48, 0, 0, -24, 0, 0, 0, 0, 0, -2, 0, 0, -32, -8, 0, 38, 48, 0, 0, 0, 0, -60, 76, 0, 64, 4, 0, 0, 46, 0, 0, 0, 0, 0, 152, 0, 0, -6, 0, -108, 0, 0, 82, 0, 0, 0, 0, 0, 96, 0, 0, 16, -52, 0, 42, -36, 0, 0, 0, 0, -80, 14, 0, 10, -20, 0, 0, 80, 0, 0, 0, 0, 0, -10, 0, 0, 24, 0, -10, 0, 0, 8, 0, 0, 0, 0, 0, -12, 0, 0, 24, -10, 0, -16, 142, 0, 0, 0, 0, -8, 0, 0, 12, -2, 0, 0, 82, 0, 0, 0, 0, 0, -8, 0, 0, 8, 0, 22, 0, 0, -16, 0, 0, 0, 0, 0, 4, 0, 0, -2, 68, 0, 88, -26, 0, 0, 0, 0, 144, 32, 0, -4, -58, 0, 0, 8, 0, 0, 0, 0, 0, -96, 0, 0, 34, 0, -62, 0, 0, -36, 0, 0, 0, 0, 0, 44, 0, 0, -4, -38, 0, 18, -284, 0, 0, 0, 0, -48, 76, 0, -78, -40, 0, 0, -140, 0, 0, 0, 0, 0, -118, 0, 0, -12, 0, 64, 0, 0, -42, 0, 0, 0, 0, 0, -48, 0, 0, -100, -192, 0, -110, 52, 0, 0, 0, 0, -16, 0, 0, -26, 12, 0, 0, -148, 0, 0, 0, 0, 0, -50, 0, 0, -104, 0, 116, 0, 0, -96, 0, 0, 0, 0, 0, 12, 0, 0, -6, 18, 0, -48, 180, 0, 0, 0, 0, -4, -256, 0, -316, 48, 0, 0, -68, 0, 0, 0, 0, 0, 76, 0, 0, -178, 0, 2, 0, 0, -174, 0, 0, 0, 0, 0, -30, 0, 0, 32, 184, 0, -88, -4, 0, 0, 0, 0, 82, -2, 0, -38, 132, 0, 0, -48, 0, 0, 0, 0, 0, 120, 0, 0, -82, 0, 272, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, -38, -76, 0, -138, -144, 0, 0, 0, 0, 128, -28, 0, 52, 2, 0, 0, 376, 0, 0, 0, 0, 0, -76, 0, 0, 92, 0, 112, 0, 0, 476, 0, 0, 0, 0, 0, -164, 0, 0, 104, 92, 0, 160, 134, 0, 0, 0, 0, -180, 76, 0, 80, 172, 0, 0, -80, 0, 0, 0, 0, 0, 6, 0, 0, -240, 0, -12, 0, 0, -54, 0, 0, 0, 0, 0, 94, 0, 0, -32, 272, 0, 164, -224, 0, 0, 0, 0, 70, 184, 0, 182, -122, 0, 0, -36, 0, 0, 0, 0, 0, -184, 0, 0, 140, 0, 48, 0, 0, -168, 0, 0, 0, 0, 0, 284, 0, 0, -16, -36, 0, 66, -104, 0, 0, 0, 0, -216, 80, 0, 102, -168, 0, 0, -18, 0, 0, 0, 0, 0, 74, 0, 0, 632, 0, -720, 0, 0, -106, 0, 0, 0, 0, 0, -40, 0, 0, -392, 34, 0, 120, 156, 0, 0, 0, 0, 20, -54, 0, -72, 20, 0, 0, -336, 0, 0, 0, 0, 0, -32, 0, 0, 40, 0, 144, 0, 0, 80, 0, 0, 0, 0, 0, -250, 0, 0, -104, 48, 0, 36, 92, 0, 0, 0, 0, 12, -20, 0, 24, 4, 0, 0, -50, 0, 0, 0, 0, 0, 12, 0, 0, -4, 0, -32, 0, 0, 10, 0, 0, 0, 0, 0, -162, 0, 0, -30, 20, 0, 4, 134, 0, 0, 0, 0, 30, 36, 0, -14, 68, 0, 0, 192, 0, 0, 0, 0, 0, 68, 0, 0, -68, 0, -24, 0, 0, 132, 0, 0, 0, 0, 0, 200, 0, 0, 12, -210, 0, -8, -20, 0, 0, 0, 0, 184, 100, 0, 16, -30, 0, 0, 284, 0, 0, 0, 0, 0, 4, 0, 0, -528, 0, 256, 0, 0, 256, 0, 0, 0, 0, 0, 8, 0, 0, 448, 0, 0, 146, 340, 0, 0, 0, 0, 6, 242, 0, -776, -82, 0, 0, 38, 0, 0, 0, 0, 0, -162, 0, 0, -82, 0, -146, 0, 0, -72, 0, 0, 0, 0, 0, -176, 0, 0, 116, -132, 0, 124, -28, 0, 0, 0, 0, -194, -16, 0, -72, -184, 0, 0, 380, 0, 0, 0, 0, 0, 16, 0, 0, 60, 0, 94, 0, 0, -4, 0, 0, 0, 0, 0, 336, 0, 0, -50, -206, 0, 16, -824, 0, 0, 0, 0, 136, 248, 0, 300, 16, 0, 0, -322, 0, 0, 0, 0, 0, -96, 0, 0, -40, 0, 8, 0, 0, -192, 0, 0, 0, 0, 0, 158, 0, 0, -4, -276, 0, -188, 34, 0, 0, 0, 0, 196, -212, 0, 44, -88, 0, 0, -52, 0, 0, 0, 0, 0, -248, 0, 0, -194, 0, -190, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, -52, 16, 0, -200, 258, 0, 0, 0, 0, 4, -632, 0, -32, 58, 0, 0, -64, 0, 0, 0, 0, 0, 250, 0, 0, -2, 0, 68, 0, 0, -378, 0, 0, 0, 0, 0, -96, 0, 0, -6, 704, 0, 152, 160, 0, 0, 0, 0, -364, -48, 0, 68, 552, 0, 0, -182, 0, 0, 0, 0, 0, 68, 0, 0, -84, 0, -160, 0, 0, 62, 0, 0, 0, 0, 0, 272, 0, 0, 184, -154, 0, 24, 92, 0, 0, 0, 0, -156, 80, 0, 230, 168, 0, 0, 520, 0, 0, 0, 0, 0, 64, 0, 0, 88, 0, 22, 0, 0, 360, 0, 0, 0, 0, 0, 188, 0, 0, -8, 160, 0, 372, 38, 0, 0, 0, 0, 170, 184, 0, 36], '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: 42549409
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 415, 'target_dim': 12, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9013384041203302, 'target_is_minimal': False, 'target_label': '1638.2.dm.c.415.6', 'target_level': 1638, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 42549410
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 415, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506073562087970, 'target_is_minimal': True, 'target_label': '546.2.bk.b.415.1', 'target_level': 546, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 42549411
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 1117, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9013384041203302, 'target_is_minimal': False, 'target_label': '1638.2.dm.c.1117.1', 'target_level': 1638, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
id: 42549412
{'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 415, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9013384041203302, 'target_is_minimal': False, 'target_label': '1638.2.dm.c.415.1', 'target_level': 1638, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
id: 42549413
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 883, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 45036133746216686, 'target_is_minimal': False, 'target_label': '3822.2.c.k.883.6', 'target_level': 3822, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 42549414
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 883, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532534118846190, 'target_is_minimal': False, 'target_label': '3822.2.c.j.883.4', 'target_level': 3822, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 42549415
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 25, 'target_dim': 12, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4506073562087970, 'target_is_minimal': True, 'target_label': '546.2.bk.b.25.6', 'target_level': 546, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 42549416
{'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 415, 'target_dim': 12, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4506073562087970, 'target_is_minimal': True, 'target_label': '546.2.bk.b.415.6', 'target_level': 546, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 2}
id: 42549417
{'conductor': 91, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 1117, 'target_dim': 12, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9013384041203302, 'target_is_minimal': False, 'target_label': '1638.2.dm.c.1117.6', 'target_level': 1638, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '91.25', 'twisting_conrey_index': 25, 'weight': 2}
id: 42549418
{'conductor': 273, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 25, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506073562087970, 'target_is_minimal': True, 'target_label': '546.2.bk.b.25.1', 'target_level': 546, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '273.116', 'twisting_conrey_index': 116, 'weight': 2}
id: 42549419
{'conductor': 273, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 883, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532534118846190, 'target_is_minimal': False, 'target_label': '3822.2.c.j.883.3', 'target_level': 3822, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '273.194', 'twisting_conrey_index': 194, 'weight': 2}
id: 42549420
{'conductor': 273, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9013384041203302, 'source_is_minimal': False, 'source_label': '1638.2.dm.c.415.6', 'source_level': 1638, 'target_conrey_index': 883, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036133746216686, 'target_is_minimal': False, 'target_label': '3822.2.c.k.883.1', 'target_level': 3822, 'twist_class_label': '546.2.bk.b.25.1', 'twist_class_level': 546, 'twisting_char_label': '273.233', 'twisting_conrey_index': 233, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 2097550
{'charpoly_factorization': [[[1, 0, -1, 0, 1], 3]], 'hecke_orbit_code': 9013384041203302, 'p': 2}
id: 2097551
{'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9013384041203302, 'p': 3}
id: 2097552
{'charpoly_factorization': [[[16, 0, -144, 0, 1248, 0, -424, 0, 108, 0, -12, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 5}
id: 2097553
{'charpoly_factorization': [[[117649, 0, 21609, 0, 2058, 0, 245, 0, 42, 0, 9, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 7}
id: 2097554
{'charpoly_factorization': [[[81, 0, -243, 0, 594, 0, -387, 0, 198, 0, -15, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 11}
id: 2097555
{'charpoly_factorization': [[[2197, -1014, 351, -132, 27, -6, 1], 2]], 'hecke_orbit_code': 9013384041203302, 'p': 13}
id: 2097556
{'charpoly_factorization': [[[49, -105, 288, 149, 66, 9, 1], 2]], 'hecke_orbit_code': 9013384041203302, 'p': 17}
id: 2097557
{'charpoly_factorization': [[[15752961, 0, -9537507, 0, 5381478, 0, -229959, 0, 7398, 0, -99, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 19}
id: 2097558
{'charpoly_factorization': [[[9604, -4116, 1764, -196, 42, 0, 1], 2]], 'hecke_orbit_code': 9013384041203302, 'p': 23}
id: 2097559
{'charpoly_factorization': [[[77, -45, 3, 1], 4]], 'hecke_orbit_code': 9013384041203302, 'p': 29}
id: 2097560
{'charpoly_factorization': [[[256, 0, -16, 0, 1], 3]], 'hecke_orbit_code': 9013384041203302, 'p': 31}
id: 2097561
{'charpoly_factorization': [[[16, 0, -576, 0, 20640, 0, -3448, 0, 432, 0, -24, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 37}
id: 2097562
{'charpoly_factorization': [[[676, 0, 984, 0, 108, 0, 1], 2]], 'hecke_orbit_code': 9013384041203302, 'p': 41}
id: 2097563
{'charpoly_factorization': [[[104, -36, -6, 1], 4]], 'hecke_orbit_code': 9013384041203302, 'p': 43}
id: 2097564
{'charpoly_factorization': [[[8428892481, 0, -960964803, 0, 91655334, 0, -1857447, 0, 27558, 0, -195, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 47}
id: 2097565
{'charpoly_factorization': [[[9, -3, 1], 6]], 'hecke_orbit_code': 9013384041203302, 'p': 53}
id: 2097566
{'charpoly_factorization': [[[1982119441, 0, -235738695, 0, 20423934, 0, -816403, 0, 23946, 0, -171, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 59}
id: 2097567
{'charpoly_factorization': [[[4489, 3015, 1824, 269, 54, -3, 1], 2]], 'hecke_orbit_code': 9013384041203302, 'p': 61}
id: 2097568
{'charpoly_factorization': [[[163047361, 0, -101781699, 0, 61046886, 0, -1528807, 0, 30054, 0, -195, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 67}
id: 2097569
{'charpoly_factorization': [[[441, 0, 603, 0, 51, 0, 1], 2]], 'hecke_orbit_code': 9013384041203302, 'p': 71}
id: 2097570
{'charpoly_factorization': [[[1474777075216, 0, -41955229392, 0, 800097408, 0, -8764744, 0, 70428, 0, -324, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 73}
id: 2097571
{'charpoly_factorization': [[[278784, -25344, 8640, -480, 192, -12, 1], 2]], 'hecke_orbit_code': 9013384041203302, 'p': 79}
id: 2097572
{'charpoly_factorization': [[[712336, 0, 30960, 0, 372, 0, 1], 2]], 'hecke_orbit_code': 9013384041203302, 'p': 83}
id: 2097573
{'charpoly_factorization': [[[29376588816, 0, -2147249088, 0, 119929248, 0, -2363256, 0, 34128, 0, -216, 0, 1], 1]], 'hecke_orbit_code': 9013384041203302, 'p': 89}
id: 2097574
{'charpoly_factorization': [[[324, 0, 16740, 0, 324, 0, 1], 2]], 'hecke_orbit_code': 9013384041203302, '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': 91, 'hecke_orbit': 3, 'label': '1638.2.dm.c', 'level': 1638, 'portrait': 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', 'weight': 2}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 32385427
{'hecke_orbit_code': 9013384041203302, 'n': 1, 'trace_an': 12}
id: 32385428
{'hecke_orbit_code': 9013384041203302, 'n': 2, 'trace_an': 0}
id: 32385429
{'hecke_orbit_code': 9013384041203302, 'n': 3, 'trace_an': 0}
id: 32385430
{'hecke_orbit_code': 9013384041203302, 'n': 4, 'trace_an': 6}
id: 32385431
{'hecke_orbit_code': 9013384041203302, 'n': 5, 'trace_an': 0}
id: 32385432
{'hecke_orbit_code': 9013384041203302, 'n': 6, 'trace_an': 0}
id: 32385433
{'hecke_orbit_code': 9013384041203302, 'n': 7, 'trace_an': 0}
id: 32385434
{'hecke_orbit_code': 9013384041203302, 'n': 8, 'trace_an': 0}
id: 32385435
{'hecke_orbit_code': 9013384041203302, 'n': 9, 'trace_an': 0}
id: 32385436
{'hecke_orbit_code': 9013384041203302, 'n': 10, 'trace_an': 0}
id: 32385437
{'hecke_orbit_code': 9013384041203302, 'n': 11, 'trace_an': 0}
id: 32385438
{'hecke_orbit_code': 9013384041203302, 'n': 12, 'trace_an': 0}
id: 32385439
{'hecke_orbit_code': 9013384041203302, 'n': 13, 'trace_an': 12}
id: 32385440
{'hecke_orbit_code': 9013384041203302, 'n': 14, 'trace_an': 18}
id: 32385441
{'hecke_orbit_code': 9013384041203302, 'n': 15, 'trace_an': 0}
id: 32385442
{'hecke_orbit_code': 9013384041203302, 'n': 16, 'trace_an': -6}
id: 32385443
{'hecke_orbit_code': 9013384041203302, 'n': 17, 'trace_an': -18}
id: 32385444
{'hecke_orbit_code': 9013384041203302, 'n': 18, 'trace_an': 0}
id: 32385445
{'hecke_orbit_code': 9013384041203302, 'n': 19, 'trace_an': 0}
id: 32385446
{'hecke_orbit_code': 9013384041203302, 'n': 20, 'trace_an': 0}
id: 32385447
{'hecke_orbit_code': 9013384041203302, 'n': 21, 'trace_an': 0}
id: 32385448
{'hecke_orbit_code': 9013384041203302, 'n': 22, 'trace_an': 12}
id: 32385449
{'hecke_orbit_code': 9013384041203302, 'n': 23, 'trace_an': 0}
id: 32385450
{'hecke_orbit_code': 9013384041203302, 'n': 24, 'trace_an': 0}
id: 32385451
{'hecke_orbit_code': 9013384041203302, 'n': 25, 'trace_an': -6}
id: 32385452
{'hecke_orbit_code': 9013384041203302, 'n': 26, 'trace_an': 0}
id: 32385453
{'hecke_orbit_code': 9013384041203302, 'n': 27, 'trace_an': 0}
id: 32385454
{'hecke_orbit_code': 9013384041203302, 'n': 28, 'trace_an': 0}
id: 32385455
{'hecke_orbit_code': 9013384041203302, 'n': 29, 'trace_an': -12}
id: 32385456
{'hecke_orbit_code': 9013384041203302, 'n': 30, 'trace_an': 0}
id: 32385457
{'hecke_orbit_code': 9013384041203302, 'n': 31, 'trace_an': 0}
id: 32385458
{'hecke_orbit_code': 9013384041203302, 'n': 32, 'trace_an': 0}
id: 32385459
{'hecke_orbit_code': 9013384041203302, 'n': 33, 'trace_an': 0}
id: 32385460
{'hecke_orbit_code': 9013384041203302, 'n': 34, 'trace_an': 0}
id: 32385461
{'hecke_orbit_code': 9013384041203302, 'n': 35, 'trace_an': -24}
id: 32385462
{'hecke_orbit_code': 9013384041203302, 'n': 36, 'trace_an': 0}
id: 32385463
{'hecke_orbit_code': 9013384041203302, 'n': 37, 'trace_an': 0}
id: 32385464
{'hecke_orbit_code': 9013384041203302, 'n': 38, 'trace_an': 6}
id: 32385465
{'hecke_orbit_code': 9013384041203302, 'n': 39, 'trace_an': 0}
id: 32385466
{'hecke_orbit_code': 9013384041203302, 'n': 40, 'trace_an': 0}
id: 32385467
{'hecke_orbit_code': 9013384041203302, 'n': 41, 'trace_an': 0}
id: 32385468
{'hecke_orbit_code': 9013384041203302, 'n': 42, 'trace_an': 0}
id: 32385469
{'hecke_orbit_code': 9013384041203302, 'n': 43, 'trace_an': 24}
id: 32385470
{'hecke_orbit_code': 9013384041203302, 'n': 44, 'trace_an': 0}
id: 32385471
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id: 32385678
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id: 32385679
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id: 32385680
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id: 32385681
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id: 32385682
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id: 32385683
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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.