Embedded newform data - 2208.2.j.c.47.42

Formats: - HTML - YAML - JSON - 2025-10-04T11:26:56.173159

• mf_newforms •

  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

  
  {'Nk2': 8832, 'analytic_conductor': 17.630968766298707, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 2, 'char_parity': 1, 'char_values': [2208, 2, [415, 1381, 737, 97], [1, 1, 1, 2]], 'cm_discs': [], 'conrey_index': 47, 'dim': 42, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-24576, 81920, 1161728, -2604544, -1057792, 5175360, -695168, -4343136, 1357216, 1998768, -770480, -566000, 226032, 105136, -38152, -13112, 3716, 1064, -192, -50, 4, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007817763588256, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 24, 6, 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': '2208.2.j.c', 'level': 2208, '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, 23], 'level_radical': 138, 'minimal_twist': '552.2.j.c', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 42, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2208.2.j', 'trace_display': [0, -2, -8, 0], 'traces': [42, 0, -2, 0, -8, 0, 0, 0, 2, 0, 0, 0, 0, 0, -8, 0, 0, 0, -4, 0, -8, 0, 42, 0, 22, 0, 16, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 8, 0, 0, 0, -28, 0, 8, 0, 0, 0, -50, 0, -28, 0, -24, 0, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, 0, 4, 0, -2, 0, 0, 0, 4, 0, 6, 0, -32, 0, 0, 0, 18, 0, 0, 0, 0, 0, -48, 0, 0, 0, 8, 0, 22, 0, -16, 0, 20, 0, 0, 0, 52, 0, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, 0, 0, -8, 0, -74, 0, 32, 0, 6, 0, 50, 0, -96, 0, 0, 0, -32, 0, 0, 0, 0, 0, 72, 0, 0, 0, 36, 0, 54, 0, -64, 0, -24, 0, 22, 0, 32, 0, 0, 0, -32, 0, 0, 0, 0, 0, -24, 0, 0, 0, -12, 0, -40, 0, -96, 0, -14, 0, 20, 0, -76, 0, 0, 0, 12, 0, 0, 0, 0, 0, -48, 0, 0, 0, -8, 0, 108, 0, 48, 0, 4, 0, -32, 0, 112, 0, 0, 0, 8, 0, 0, 0, 0, 0, 2, 0, 0, 0, 16, 0, -62, 0, 32, 0, -8, 0, 22, 0, -56, 0, 0, 0, 22, 0, 0, 0, 0, 0, 64, 0, 0, 0, -32, 0, 120, 0, 48, 0, 4, 0, -42, 0, 232, 0, 0, 0, 4, 0, 0, 0, 0, 0, -32, 0, 0, 0, 32, 0, -78, 0, -64, 0, -88, 0, -48, 0, -112, 0, 0, 0, 32, 0, 0, 0, 0, 0, -64, 0, 0, 0, -28, 0, 136, 0, -32, 0, -38, 0, 36, 0, 64, 0, 0, 0, 36, 0, 0, 0, 0, 0, 16, 0, 0, 0, -16, 0, -192, 0, 32, 0, 68, 0, -84, 0, -220, 0, 0, 0, -28, 0, 0, 0, 0, 0, 16, 0, 0, 0, 52, 0, 172, 0, 16, 0, 20, 0, -4, 0, 144, 0, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, 0, 128, 0, -152, 0, -16, 0, 50, 0, -2, 0, -64, 0, 0, 0, 56, 0, 0, 0, 0, 0, -104, 0, 0, 0, 132, 0, 66, 0, 0, 0, -96, 0, 12, 0, 264, 0, 0, 0, 12, 0, 0, 0, 0, 0, -16, 0, 0, 0, -76, 0, -172, 0, 112, 0, 68, 0, -76, 0, -96, 0, 0, 0, -8, 0, 0, 0, 0, 0, 168, 0, 0, 0, -56, 0, 156, 0, 48, 0, -108, 0, 132, 0, -4, 0, 0, 0, -26, 0, 0, 0, 0, 0, -24, 0, 0, 0, -96, 0, -94, 0, 16, 0, 4, 0, 72, 0, -320, 0, 0, 0, 112, 0, 0, 0, 0, 0, -104, 0, 0, 0, 52, 0, 200, 0, -32, 0, 0, 0, -8, 0, 176, 0, 0, 0, -32, 0, 0, 0, 0, 0, 128, 0, 0, 0, 36, 0, -136, 0, 32, 0, 8, 0, -96, 0, -160, 0, 0, 0, -56, 0, 0, 0, 0, 0, 80, 0, 0, 0, -28, 0, 172, 0, -32, 0, 42, 0, 36, 0, 260, 0, 0, 0, -12, 0, 0, 0, 0, 0, 24, 0, 0, 0, -156, 0, -228, 0, -192, 0, 56, 0, -20, 0, -184, 0, 0, 0, 64, 0, 0, 0, 0, 0, -16, 0, 0, 0, 36, 0, 264, 0, 22, 0, 84, 0, -110, 0, 144, 0, 0, 0, -80, 0, 0, 0, 0, 0, 56, 0, 0, 0, -40, 0, -168, 0, 240, 0, 132, 0, 72, 0, -224, 0, 0, 0, -48, 0, 0, 0, 0, 0, 184, 0, 0, 0, 140, 0, 16, 0, -64, 0, -174, 0, -56, 0, 192, 0, 0, 0, 8, 0, 0, 0, 0, 0, -64, 0, 0, 0, 116, 0, -288, 0, 32, 0, -72, 0, 24, 0, -144, 0, 0, 0, -28, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 232, 0, -16, 0, -44, 0, 32, 0, 296, 0, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 0, -160, 0, -232, 0, 128, 0, -112, 0, -86, 0, -40, 0, 0, 0, -8, 0, 0, 0, 0, 0, 56, 0, 0, 0, -248, 0, 270, 0, -176, 0, 104, 0, -88, 0, 240, 0, 0, 0, -70, 0, 0, 0, 0, 0, -32, 0, 0, 0, -124, 0, -288, 0, -144, 0, -72, 0, -96, 0, -560, 0, 0, 0, 36, 0, 0, 0, 0, 0, 12, 0, 0, 0, -120, 0, 256, 0, 112, 0, 100, 0, 122, 0, 136, 0, 0, 0, 8, 0, 0, 0, 0, 0, 96, 0, 0, 0, 100, 0, -296, 0, 192, 0, 96, 0, 48, 0, -136, 0, 0, 0, -8, 0, 0, 0, 0, 0, 184, 0, 0, 0, -156, 0, 240, 0, -64, 0, -32, 0, 108, 0, 372, 0, 0, 0, 140, 0, 0, 0, 0, 0, -80, 0, 0, 0, 248, 0, -328, 0, -128, 0, 102, 0, 8, 0, -72, 0, 0, 0, 24, 0, 0, 0, 0, 0, -272, 0, 0, 0, -100, 0, 212, 0, -32, 0, 104, 0, 106, 0, 240, 0, 0, 0, -140, 0, 0, 0, 0, 0, 32, 0, 0, 0, -16, 0, -320, 0, 112, 0, 88, 0, 44, 0, -288, 0, 0, 0, 8, 0, 0, 0, 0, 0, 32, 0, 0, 0, -92, 0, 304, 0, 0, 0, 8, 0, 32, 0, 256, 0, 0, 0, -24, 0, 0, 0, 0, 0, -72, 0, 0, 0, -60, 0, -206, 0, -352, 0, -44, 0, 132, 0, -208, 0, 0, 0, -16, 0, 0, 0, 0, 0, -32, 0, 0, 0, 232, 0, 264, 0, 96, 0, -98, 0, -36, 0, 552, 0, 0, 0, 64, 0, 0, 0, 0, 0, -8, 0, 0, 0, 176, 0, -256, 0, 80, 0, -8, 0, -168, 0, -28, 0, 0, 0, -48, 0, 0, 0, 0, 0, 176, 0, 0, 0, 64, 0, 432, 0, -160, 0, -44, 0, -156, 0, 96, 0, 0, 0, 16, 0, 0, 0, 0, 0, -96, 0, 0, 0, 32, 0, -476, 0, -240, 0, -44, 0, 8, 0, -544, 0, 0, 0, -164, 0, 0, 0, 0, 0, -192, 0, 0, 0, 156, 0, 250, 0, -48, 0, -184, 0, 106, 0, 224, 0, 0, 0, -8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 180, 0, -344, 0, 112, 0, 0, 0, 78, 0, -400, 0, 0, 0, 78, 0, 0, 0, 0, 0, 120, 0, 0, 0, -168, 0, 212, 0, -208, 0, 208, 0, 48, 0, 376, 0, 0, 0, -56, 0, 0, 0, 0, 0, -24, 0, 0, 0, 92, 0, -252, 0, -50, 0, -28, 0, 226, 0, -272, 0, 0, 0, 96, 0, 0, 0, 0, 0, -184, 0, 0, 0, 40, 0, 400, 0, 288, 0, 36, 0, -268, 0, 80, 0, 0, 0, 176, 0, 0, 0, 0, 0, 48, 0, 0, 0, -172, 0, -28, 0, 336, 0, -8, 0, 118, 0, -516, 0, 0, 0, -64, 0, 0, 0, 0, 0, 400, 0, 0, 0, 40, 0, 336, 0, -128, 0, -92, 0, -32, 0, 352, 0, 0, 0, -40, 0, 0, 0, 0, 0, -208, 0, 0, 0, -24, 0, -216, 0, -144, 0, 34, 0, 118, 0, -144, 0, 0, 0, -56, 0, 0, 0, 0, 0, -216, 0, 0, 0, 232, 0, 416, 0, 48, 0, 84, 0, 46, 0, 536, 0, 0, 0, -116, 0, 0, 0, 0, 0, -32, 0, 0, 0, -32, 0, -304, 0, 272, 0, -128, 0, 120, 0, -240, 0, 0, 0, 128, 0, 0, 0, 0, 0, 184, 0, 0, 0, -60, 0, 268, 0, -256, 0, 68, 0, 36, 0, 208, 0, 0, 0, -16, 0, 0, 0, 0, 0, -8, 0, 0, 0, 144, 0, -314, 0, -560, 0, -252, 0, 24, 0, -616, 0, 0, 0, -28, 0, 0, 0, 0, 0, -128, 0, 0, 0, -112, 0, 396, 0, 224, 0, -104, 0, -176, 0, 240, 0, 0, 0, -32, 0, 0, 0, 0, 0, 280, 0, 0, 0, 188, 0, -400, 0, 304, 0, -46, 0, -164, 0, -128, 0, 0, 0, 136, 0, 0, 0, 0, 0, 176, 0, 0, 0, 32, 0, 320, 0, 80, 0, 40, 0, 216, 0, 576, 0, 0, 0, 4, 0, 0, 0, 0, 0, -272, 0, 0, 0, 24, 0, -212, 0, 16, 0, 112, 0, -88, 0, -224, 0, 0, 0, -208, 0, 0, 0, 0, 0, -200, 0, 0, 0, -72, 0, 208, 0, 16, 0, -56, 0, -284, 0, 200, 0, 0, 0, -16, 0, 0, 0, 0, 0, 96, 0, 0, 0, -52, 0, -234, 0, 224, 0, -56, 0, -102, 0, -928, 0, 0, 0, 180, 0, 0, 0, 0, 0, 136, 0, 0, 0, 52, 0, 480, 0, -176, 0, 100, 0, 36, 0, 232, 0, 0, 0, 128, 0, 0, 0, 0, 0, -112, 0, 0, 0, 80, 0, -472, 0, -176, 0, 144, 0, -84, 0, -248, 0, 0, 0, 26, 0, 0, 0, 0, 0, -280, 0, 0, 0, -300, 0, 344, 0, 0, 0, 24, 0, 268, 0, 4, 0, 0, 0, 96, 0, 0, 0, 0, 0, 168, 0, 0, 0, -288, 0, -456, 0, 240, 0, 184, 0, 128, 0, -224, 0, 0, 0, -152, 0, 0, 0, 0, 0, 448, 0, 0, 0, 236, 0, 260, 0, -128, 0, 152, 0, -2, 0, 368, 0, 0, 0, 92, 0, 0, 0, 0, 0, -256, 0, 0, 0, -168, 0, -568, 0, -80, 0, -60, 0, -322, 0, -420, 0, 0, 0, 12, 0, 0, 0, 0, 0, -448, 0, 0, 0, -292, 0, 544, 0, 144, 0, 0, 0, -248, 0, 208, 0, 0, 0, -72, 0, 0, 0, 0, 0, 64, 0, 0, 0, -4, 0, -376, 0, 256, 0, -124, 0, -104, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 68, 0, 344, 0, 4, 0, 122, 0, -284, 0, 704, 0, 0, 0, -140, 0, 0, 0, 0, 0, -32, 0, 0, 0, -228, 0, -332, 0, -576, 0, 176, 0, 80, 0, -408, 0, 0, 0, 104, 0, 0, 0, 0, 0, -224, 0, 0, 0, 348, 0, 6, 0, 544, 0, 144, 0, -66, 0, 272, 0, 0, 0, 44, 0, 0, 0, 0, 0, 448, 0, 0, 0, 132, 0, -344, 0, 608, 0, -12, 0, -92, 0, -576, 0, 0, 0, 196, 0, 0, 0, 0, 0, 400, 0, 0, 0, -32, 0, 214, 0, 96, 0, -124, 0, 108, 0, 256, 0, 0, 0, 128, 0, 0, 0, 0, 0, -152, 0, 0, 0, -320, 0, -400, 0, -256, 0, -44, 0, 26, 0, -304, 0, 0, 0, -80, 0, 0, 0, 0, 0, -320, 0, 0, 0, -96, 0, 352, 0, 96, 0, -132, 0, -216, 0, 880, 0, 0, 0, 16, 0, 0, 0, 0, 0, 56, 0, 0, 0, 72, 0, -340, 0, 240, 0, -30, 0, -140, 0, -144, 0, 0, 0, -104, 0, 0, 0, 0, 0, 18, 0, 0, 0, -160, 0, 568, 0, -304, 0, -108, 0, -46, 0, 312, 0, 0, 0, 136, 0, 0, 0, 0, 0, -144, 0, 0, 0, 64, 0, -236, 0, -640, 0, -104, 0, 296, 0, -528, 0, 0, 0, -40, 0, 0, 0, 0, 0, -360, 0, 0, 0, -96, 0, 440, 0, 176, 0, -112, 0, 296, 0, 96, 0, 0, 0, 72, 0, 0, 0, 0, 0, 192, 0, 0, 0, 24, 0, -206, 0, 208, 0, -376, 0, -192, 0, -336, 0, 0, 0, 24, 0, 0, 0, 0, 0, 552, 0, 0, 0, -60, 0, 388, 0, -208, 0, 120, 0, 116, 0, 464, 0, 0, 0, 172, 0, 0, 0, 0, 0, -304, 0, 0, 0, 68, 0, -520, 0, -80, 0, 212, 0, 344, 0, -312, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.9998479626647462, 0.017437074156986455], [0.0, 0.0], [0.3898990997854448, 0.0], [0.0, 0.0], [0.0, 1.168783273582357], [0.0, 0.0], [0.9993918968896875, 0.03486884614139401], [0.0, 0.0], [0.0, 0.5739255473583871], [0.0, 0.0], [0.0, 0.3435143416924033], [0.0, 0.0], [0.38983982056529554, 0.006798699516701063], [0.0, 0.0], [0.0, -0.4809488062137385], [0.0, 0.0], [1.1398478178832607, 0.0], [0.0, 0.0], [-0.020380160614900947, 1.1686055748879522], [0.0, 0.0], [0.20851441405707477, 0.0], [0.0, 0.0], [-0.8479786919864998, 0.0], [0.0, 0.0], [0.9986319413528741, 0.052290015392900145], [0.0, 0.0], [-0.42915946147276146, 0.0], [0.0, 0.0], [0.0, 0.6259093692851304], [0.0, 0.0], [-0.010007582329877238, 0.5738382892475326], [0.0, 0.0], [0.0, 0.4557075462140462], [0.0, 0.0], [0.0, 0.7507354599650811], [0.0, 0.0], [-0.005989885050078821, 0.34346211468727095], [0.0, 0.0], [0.0, -1.3609866750933202], [0.0, 0.0], [0.498335520239887, 0.0], [0.0, 0.0], 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0.002730700142748445, -0.32445351790055144, 0.013341477811515484, -0.21669863848858395, -0.3416692273865142, -0.3092297510869902, -0.282587072647356, -0.0869268595812301, -0.4710431424289227], 'char_orbit_index': 10, 'conrey_index': 47, 'dual_conrey_index': 47, 'dual_embedding_index': 41, 'dual_embedding_m': 41, 'embedding_index': 42, 'embedding_m': 42, 'hecke_orbit': 3, 'hecke_orbit_code': 9007817763588256, 'label': '2208.2.j.c.47.42', 'level': 2208, 'weight': 2}
• mf_newspaces •

  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

  
  {'Nk2': 8832, 'analytic_conductor': 17.630968766298707, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 2, 'char_parity': 1, 'char_values': [2208, 2, [415, 1381, 737, 97], [1, 1, 1, 2]], 'conrey_index': 47, 'cusp_dim': 368, 'dim': 88, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 618508847264, 'hecke_orbit_dims': [2, 2, 42, 42], 'label': '2208.2.j', 'level': 2208, '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, 23], 'level_radical': 138, 'mf_dim': 400, 'mf_new_dim': 88, 'num_forms': 4, 'prim_orbit_index': 6, 'relative_dim': 88, 'sturm_bound': 768, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 12, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -104, 0, -40, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 56, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 32, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 68, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -48, 0, 40, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 80, 0, 64, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 48, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -48, 0, -80, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 16, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -40, 0, 64, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 32, 0, -40, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -32, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 40, 0, -88, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 16, 0, -136, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -160, 0, 264, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, -144, 0, 160, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -112, 0, -268, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 88, 0, 104, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 80, 0, -104, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 96, 0, -148, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 272, 0, 152, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, -184, 0, -176, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, -80, 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, -156, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -160, 0, -76, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 176, 0, -232, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 48, 0, -128, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 80, 0, 84, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 128, 0, 288, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -16, 0, 280, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 88, 0, -96, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -48, 0, 248, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, -16, 0, 216, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 144, 0, 128, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 64, 0, 160, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -200, 0, 56, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -272, 0, -336, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  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

  
  
  • id: 41156175
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 42, 'source_embedding_index': 42, 'source_hecke_orbit_code': 9007817763588256, 'source_is_minimal': False, 'source_label': '2208.2.j.c.47.42', 'source_level': 2208, 'target_conrey_index': 47, 'target_dim': 42, 'target_embedding_index': 42, 'target_hecke_orbit_code': 9007817763588256, 'target_is_minimal': False, 'target_label': '2208.2.j.c.47.42', 'target_level': 2208, 'twist_class_label': '552.2.j.c.323.27', 'twist_class_level': 552, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41156176
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 42, 'source_embedding_index': 42, 'source_hecke_orbit_code': 9007817763588256, 'source_is_minimal': False, 'source_label': '2208.2.j.c.47.42', 'source_level': 2208, 'target_conrey_index': 47, 'target_dim': 42, 'target_embedding_index': 41, 'target_hecke_orbit_code': 13511417390958752, 'target_is_minimal': False, 'target_label': '2208.2.j.d.47.41', 'target_level': 2208, 'twist_class_label': '552.2.j.c.323.27', 'twist_class_level': 552, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41156177
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 42, 'source_embedding_index': 42, 'source_hecke_orbit_code': 9007817763588256, 'source_is_minimal': False, 'source_label': '2208.2.j.c.47.42', 'source_level': 2208, 'target_conrey_index': 323, 'target_dim': 42, 'target_embedding_index': 27, 'target_hecke_orbit_code': 9007817763586600, 'target_is_minimal': True, 'target_label': '552.2.j.c.323.27', 'target_level': 552, 'twist_class_label': '552.2.j.c.323.27', 'twist_class_level': 552, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41156178
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 42, 'source_embedding_index': 42, 'source_hecke_orbit_code': 9007817763588256, 'source_is_minimal': False, 'source_label': '2208.2.j.c.47.42', 'source_level': 2208, 'target_conrey_index': 47, 'target_dim': 42, 'target_embedding_index': 42, 'target_hecke_orbit_code': 13511417390958752, 'target_is_minimal': False, 'target_label': '2208.2.j.d.47.42', 'target_level': 2208, 'twist_class_label': '552.2.j.c.323.27', 'twist_class_level': 552, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41156179
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 42, 'source_embedding_index': 42, 'source_hecke_orbit_code': 9007817763588256, 'source_is_minimal': False, 'source_label': '2208.2.j.c.47.42', 'source_level': 2208, 'target_conrey_index': 323, 'target_dim': 42, 'target_embedding_index': 15, 'target_hecke_orbit_code': 13511417390957096, 'target_is_minimal': True, 'target_label': '552.2.j.d.323.15', 'target_level': 552, 'twist_class_label': '552.2.j.c.323.27', 'twist_class_level': 552, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41156180
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 42, 'source_embedding_index': 42, 'source_hecke_orbit_code': 9007817763588256, 'source_is_minimal': False, 'source_label': '2208.2.j.c.47.42', 'source_level': 2208, 'target_conrey_index': 323, 'target_dim': 42, 'target_embedding_index': 16, 'target_hecke_orbit_code': 13511417390957096, 'target_is_minimal': True, 'target_label': '552.2.j.d.323.16', 'target_level': 552, 'twist_class_label': '552.2.j.c.323.27', 'twist_class_level': 552, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 41156181
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 42, 'source_embedding_index': 42, 'source_hecke_orbit_code': 9007817763588256, 'source_is_minimal': False, 'source_label': '2208.2.j.c.47.42', 'source_level': 2208, 'target_conrey_index': 323, 'target_dim': 42, 'target_embedding_index': 28, 'target_hecke_orbit_code': 9007817763586600, 'target_is_minimal': True, 'target_label': '552.2.j.c.323.28', 'target_level': 552, 'twist_class_label': '552.2.j.c.323.27', 'twist_class_level': 552, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41156182
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 42, 'source_embedding_index': 42, 'source_hecke_orbit_code': 9007817763588256, 'source_is_minimal': False, 'source_label': '2208.2.j.c.47.42', 'source_level': 2208, 'target_conrey_index': 47, 'target_dim': 42, 'target_embedding_index': 41, 'target_hecke_orbit_code': 9007817763588256, 'target_is_minimal': False, 'target_label': '2208.2.j.c.47.41', 'target_level': 2208, 'twist_class_label': '552.2.j.c.323.27', 'twist_class_level': 552, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
• hecke_orbit_code 9007817763588256 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 10, 'hecke_orbit': 3, 'label': '2208.2.j.c', 'level': 2208, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31300279
    {'hecke_orbit_code': 9007817763588256, 'n': 1, 'trace_an': 42}
  • id: 31300280
    {'hecke_orbit_code': 9007817763588256, 'n': 2, 'trace_an': 0}
  • id: 31300281
    {'hecke_orbit_code': 9007817763588256, 'n': 3, 'trace_an': -2}
  • id: 31300282
    {'hecke_orbit_code': 9007817763588256, 'n': 4, 'trace_an': 0}
  • id: 31300283
    {'hecke_orbit_code': 9007817763588256, 'n': 5, 'trace_an': -8}
  • id: 31300284
    {'hecke_orbit_code': 9007817763588256, 'n': 6, 'trace_an': 0}
  • id: 31300285
    {'hecke_orbit_code': 9007817763588256, 'n': 7, 'trace_an': 0}
  • id: 31300286
    {'hecke_orbit_code': 9007817763588256, 'n': 8, 'trace_an': 0}
  • id: 31300287
    {'hecke_orbit_code': 9007817763588256, 'n': 9, 'trace_an': 2}
  • id: 31300288
    {'hecke_orbit_code': 9007817763588256, 'n': 10, 'trace_an': 0}
  • id: 31300289
    {'hecke_orbit_code': 9007817763588256, 'n': 11, 'trace_an': 0}
  • id: 31300290
    {'hecke_orbit_code': 9007817763588256, 'n': 12, 'trace_an': 0}
  • id: 31300291
    {'hecke_orbit_code': 9007817763588256, 'n': 13, 'trace_an': 0}
  • id: 31300292
    {'hecke_orbit_code': 9007817763588256, 'n': 14, 'trace_an': 0}
  • id: 31300293
    {'hecke_orbit_code': 9007817763588256, 'n': 15, 'trace_an': -8}
  • id: 31300294
    {'hecke_orbit_code': 9007817763588256, 'n': 16, 'trace_an': 0}
  • id: 31300295
    {'hecke_orbit_code': 9007817763588256, 'n': 17, 'trace_an': 0}
  • id: 31300296
    {'hecke_orbit_code': 9007817763588256, 'n': 18, 'trace_an': 0}
  • id: 31300297
    {'hecke_orbit_code': 9007817763588256, 'n': 19, 'trace_an': -4}
  • id: 31300298
    {'hecke_orbit_code': 9007817763588256, 'n': 20, 'trace_an': 0}
  • id: 31300299
    {'hecke_orbit_code': 9007817763588256, 'n': 21, 'trace_an': -8}
  • id: 31300300
    {'hecke_orbit_code': 9007817763588256, 'n': 22, 'trace_an': 0}
  • id: 31300301
    {'hecke_orbit_code': 9007817763588256, 'n': 23, 'trace_an': 42}
  • id: 31300302
    {'hecke_orbit_code': 9007817763588256, 'n': 24, 'trace_an': 0}
  • id: 31300303
    {'hecke_orbit_code': 9007817763588256, 'n': 25, 'trace_an': 22}
  • id: 31300304
    {'hecke_orbit_code': 9007817763588256, 'n': 26, 'trace_an': 0}
  • id: 31300305
    {'hecke_orbit_code': 9007817763588256, 'n': 27, 'trace_an': 16}
  • id: 31300306
    {'hecke_orbit_code': 9007817763588256, 'n': 28, 'trace_an': 0}
  • id: 31300307
    {'hecke_orbit_code': 9007817763588256, 'n': 29, 'trace_an': 0}
  • id: 31300308
    {'hecke_orbit_code': 9007817763588256, 'n': 30, 'trace_an': 0}
  • id: 31300309
    {'hecke_orbit_code': 9007817763588256, 'n': 31, 'trace_an': 0}
  • id: 31300310
    {'hecke_orbit_code': 9007817763588256, 'n': 32, 'trace_an': 0}
  • id: 31300311
    {'hecke_orbit_code': 9007817763588256, 'n': 33, 'trace_an': 12}
  • id: 31300312
    {'hecke_orbit_code': 9007817763588256, 'n': 34, 'trace_an': 0}
  • id: 31300313
    {'hecke_orbit_code': 9007817763588256, 'n': 35, 'trace_an': 0}
  • id: 31300314
    {'hecke_orbit_code': 9007817763588256, 'n': 36, 'trace_an': 0}
  • id: 31300315
    {'hecke_orbit_code': 9007817763588256, 'n': 37, 'trace_an': 0}
  • id: 31300316
    {'hecke_orbit_code': 9007817763588256, 'n': 38, 'trace_an': 0}
  • id: 31300317
    {'hecke_orbit_code': 9007817763588256, 'n': 39, 'trace_an': 8}
  • id: 31300318
    {'hecke_orbit_code': 9007817763588256, 'n': 40, 'trace_an': 0}
  • id: 31300319
    {'hecke_orbit_code': 9007817763588256, 'n': 41, 'trace_an': 0}
  • id: 31300320
    {'hecke_orbit_code': 9007817763588256, 'n': 42, 'trace_an': 0}
  • id: 31300321
    {'hecke_orbit_code': 9007817763588256, 'n': 43, 'trace_an': -28}
  • id: 31300322
    {'hecke_orbit_code': 9007817763588256, 'n': 44, 'trace_an': 0}
  • id: 31300323
    {'hecke_orbit_code': 9007817763588256, 'n': 45, 'trace_an': 8}
  • id: 31300324
    {'hecke_orbit_code': 9007817763588256, 'n': 46, 'trace_an': 0}
  • id: 31300325
    {'hecke_orbit_code': 9007817763588256, 'n': 47, 'trace_an': 0}
  • id: 31300326
    {'hecke_orbit_code': 9007817763588256, 'n': 48, 'trace_an': 0}
  • id: 31300327
    {'hecke_orbit_code': 9007817763588256, 'n': 49, 'trace_an': -50}
  • id: 31300328
    {'hecke_orbit_code': 9007817763588256, 'n': 50, 'trace_an': 0}
  • id: 31300329
    {'hecke_orbit_code': 9007817763588256, 'n': 51, 'trace_an': -28}
  • id: 31300330
    {'hecke_orbit_code': 9007817763588256, 'n': 52, 'trace_an': 0}
  • id: 31300331
    {'hecke_orbit_code': 9007817763588256, 'n': 53, 'trace_an': -24}
  • id: 31300332
    {'hecke_orbit_code': 9007817763588256, 'n': 54, 'trace_an': 0}
  • id: 31300333
    {'hecke_orbit_code': 9007817763588256, 'n': 55, 'trace_an': 0}
  • id: 31300334
    {'hecke_orbit_code': 9007817763588256, 'n': 56, 'trace_an': 0}
  • id: 31300335
    {'hecke_orbit_code': 9007817763588256, 'n': 57, 'trace_an': -8}
  • id: 31300336
    {'hecke_orbit_code': 9007817763588256, 'n': 58, 'trace_an': 0}
  • id: 31300337
    {'hecke_orbit_code': 9007817763588256, 'n': 59, 'trace_an': 0}
  • id: 31300338
    {'hecke_orbit_code': 9007817763588256, 'n': 60, 'trace_an': 0}
  • id: 31300339
    {'hecke_orbit_code': 9007817763588256, 'n': 61, 'trace_an': 0}
  • id: 31300340
    {'hecke_orbit_code': 9007817763588256, 'n': 62, 'trace_an': 0}
  • id: 31300341
    {'hecke_orbit_code': 9007817763588256, 'n': 63, 'trace_an': -16}
  • id: 31300342
    {'hecke_orbit_code': 9007817763588256, 'n': 64, 'trace_an': 0}
  • id: 31300343
    {'hecke_orbit_code': 9007817763588256, 'n': 65, 'trace_an': 0}
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