Newform data - 465.2.t.d

Formats: - HTML - YAML - JSON - 2026-07-19T23:02:46.082861

• 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': 1860, 'analytic_conductor': 3.7130436939895377, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 465, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 6, 'char_parity': 1, 'char_values': [465, 6, [311, 187, 406], [3, 3, 1]], 'cm_discs': [], 'conrey_index': 119, 'dim': 104, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [-12, 0, 1110, 0, -12942, 0, 63358, 0, -164613, 0, 253836, 0, -248099, 0, 159741, 0, -69071, 0, 20107, 0, -3876, 0, 473, 0, -33, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13512104585724369, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 15, 4, -1, 2, 0], [1, 1, 31, 5, -1, 6, 0], [1, 1, 93, 7, 1, 6, 0], [1, 1, 155, 9, -1, 6, 0], [1, 1, 465, 20, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '465.2.t.d', 'level': 465, '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': True, 'level_primes': [3, 5, 31], 'level_radical': 465, 'minimal_twist': '465.2.t.d', 'prim_orbit_index': 20, 'related_objects': [], 'relative_dim': 52, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '465.2.t', 'trace_display': [0, 0, 0, 0], 'traces': [104, 0, 0, 56, 0, -12, 0, 0, -2, -20, 0, 0, 0, 0, 0, -24, 0, 0, 12, 0, -6, 0, 0, -48, 8, 0, 0, 0, 0, 0, -40, 0, 0, 108, 0, 36, 0, 0, 52, -76, 0, 0, 0, 0, -4, 0, 0, 0, 80, 0, -20, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -156, 0, 0, 32, -56, 0, 0, 0, 0, 54, -120, 0, 0, -120, 0, 38, 0, 0, -42, 0, 0, 0, 0, 0, 66, 0, 0, 0, -120, 0, -54, 0, 0, 66, -88, 0, 0, 0, 0, -24, 0, 0, 0, 48, 0, 36, 0, 0, -12, -84, 0, 0, 0, 0, 0, -92, 0, 0, -80, 0, -180, 0, 0, -100, -132, 0, 0, 0, 0, 138, 324, 0, 0, 0, 0, -132, 0, 0, -112, 12, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 372, 0, 0, -112, -140, 0, 0, 0, 0, 6, -216, 0, 0, -136, 0, 184, 0, 0, 8, -20, 0, 0, 0, 0, -10, -156, 0, 0, 0, 0, 202, 0, 0, 126, 184, 0, 0, 0, 0, 24, 60, 0, 0, 552, 0, 0, 0, 0, -144, -124, 0, 0, 0, 0, 114, 140, 0, 0, 172, 0, 0, 0, 0, 232, 360, 0, 0, 0, 0, 200, 68, 0, 0, -48, 0, 110, 0, 0, -12, -4, 0, 0, 0, 0, 0, -396, 0, 0, 0, 0, 0, 0, 0, -132, 104, 0, 0, 0, 0, -118, 88, 0, 0, -96, 0, -108, 0, 0, -292, -72, 0, 0, 0, 0, 30, 0, 0, 0, 168, 0, 76, 0, 0, 18, -24, 0, 0, 0, 0, 180, 256, 0, 0, -48, 0, 18, 0, 0, 0, 192, 0, 0, 0, 0, 162, 48, 0, 0, -176, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 102, -12, 0, 0, -208, 0, -198, 0, 0, 76, 0, 0, 0, 0, 0, 54, -96, 0, 0, 192, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, -124, -40, 0, 0, 416, 0, 14, 0, 0, -378, 152, 0, 0, 0, 0, 44, 184, 0, 0, 0, 0, 26, 0, 0, -102, 0, 0, 0, 0, 0, -66, -304, 0, 0, -236, 0, -18, 0, 0, -456, -264, 0, 0, 0, 0, -120, -56, 0, 0, 312, 0, 336, 0, 0, 0, -300, 0, 0, 0, 0, -280, 84, 0, 0, -276, 0, -200, 0, 0, -48, -204, 0, 0, 0, 0, -270, 64, 0, 0, 60, 0, 0, 0, 0, -222, 0, 0, 0, 0, 0, -84, 80, 0, 0, 224, 0, -180, 0, 0, 154, 48, 0, 0, 0, 0, -292, 240, 0, 0, 216, 0, 354, 0, 0, 260, 84, 0, 0, 0, 0, -138, -512, 0, 0, -368, 0, -180, 0, 0, 322, 140, 0, 0, 0, 0, 0, 120, 0, 0, -52, 0, 126, 0, 0, -402, 208, 0, 0, 0, 0, 0, -420, 0, 0, -348, 0, 108, 0, 0, -152, 88, 0, 0, 0, 0, -60, 0, 0, 0, 348, 0, -16, 0, 0, 0, -492, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, -24, 0, 0, 190, -272, 0, 0, 0, 0, 456, -44, 0, 0, 384, 0, 158, 0, 0, -30, 0, 0, 0, 0, 0, 138, 0, 0, 0, 264, 0, -348, 0, 0, 66, 44, 0, 0, 0, 0, 456, -312, 0, 0, -328, 0, -76, 0, 0, -294, -144, 0, 0, 0, 0, 0, 116, 0, 0, -16, 0, 156, 0, 0, -290, -108, 0, 0, 0, 0, 150, -660, 0, 0, 0, 0, 288, 0, 0, -68, 36, 0, 0, 0, 0, 294, 0, 0, 0, 0, 0, -80, 0, 0, 1068, 32, 0, 0, 0, 0, -202, 780, 0, 0, 372, 0, -288, 0, 0, 144, -124, 0, 0, 0, 0, -276, -48, 0, 0, 0, 0, 50, 0, 0, 480, 144, 0, 0, 0, 0, 118, -304, 0, 0, -504, 0, 0, 0, 0, 74, -8, 0, 0, 0, 0, 48, -248, 0, 0, 296, 0, 0, 0, 0, 124, -372, 0, 0, 0, 0, 220, 260, 0, 0, 996, 0, 154, 0, 0, 126, 40, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -576, 152, 0, 0, 0, 0, 120, -56, 0, 0, -252, 0, 372, 0, 0, 400, 384, 0, 0, 0, 0, 348, 0, 0, 0, 180, 0, 170, 0, 0, 802, -120, 0, 0, 0, 0, -522, 260, 0, 0, 108, 0, 42, 0, 0, 0, 312, 0, 0, 0, 0, 252, -732, 0, 0, -252, 0, 0, 0, 0, 0, 620, 0, 0, 0, 0, 308, 636, 0, 0, -432, 0, 12, 0, 0, -146, 0, 0, 0, 0, 0, 52, 792, 0, 0, 732, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, -632, 208, 0, 0, -216, 0, -268, 0, 0, -594, -340, 0, 0, 0, 0, 74, -296, 0, 0, 0, 0, -206, 0, 0, -754, 0, 0, 0, 0, 0, -450, 736, 0, 0, -160, 0, -56, 0, 0, -564, -540, 0, 0, 0, 0, 30, -352, 0, 0, -288, 0, 924, 0, 0, 0, 0, 0, 0, 0, 0, -212, 996, 0, 0, -180, 0, 64, 0, 0, 354, -72, 0, 0, 0, 0, 84, -56, 0, 0, 396, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, 228, 256, 0, 0, 440, 0, -564, 0, 0, 112, -432, 0, 0, 0, 0, -868, -36, 0, 0, -92, 0, 0, 0, 0, 684, -168, 0, 0, 0, 0, -38, -840, 0, 0, -248, 0, -918, 0, 0, 60, 512, 0, 0, 0, 0, 0, 312, 0, 0, 96, 0, -708, 0, 0, -444, 188, 0, 0, 0, 0, 0, 104, 0, 0, -1956, 0, -50, 0, 0, -596, 208, 0, 0, 0, 0, -80, 0, 0, 0, -200, 0, 104, 0, 0, 0, -408, 0, 0, 0, 0, 0, 0, 0, 0, -800, 0, 496, 0, 0, 250, 56], 'weight': 2, 'weight_parity': 1}
• label 465.2.t.d does not appear in mf_hecke_nf
• 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': 1860, 'analytic_conductor': 3.7130436939895377, 'char_conductor': 465, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 6, 'char_parity': 1, 'char_values': [465, 6, [311, 187, 406], [3, 3, 1]], 'conrey_index': 119, 'cusp_dim': 120, 'dim': 120, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1305703612881, 'hecke_orbit_dims': [4, 4, 8, 104], 'label': '465.2.t', 'level': 465, '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': True, 'level_primes': [3, 5, 31], 'level_radical': 465, 'mf_dim': 136, 'mf_new_dim': 136, 'num_forms': 4, 'prim_orbit_index': 20, 'relative_dim': 60, 'sturm_bound': 128, 'trace_bound': 2, 'trace_display': [0, 0, 0, 0], 'traces': [120, 0, 0, 100, 0, -18, 0, 0, 2, -10, 0, 0, 0, 0, 0, 60, 0, 0, -4, 0, -6, 0, 0, -60, 8, 0, 0, 0, 0, 0, -36, 0, 0, -54, 0, 22, 0, 0, 12, -36, 0, 0, 0, 0, -24, 0, 0, 0, 24, 0, -12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -36, 0, 0, 40, -56, 0, 0, 0, 0, 54, -74, 0, 0, 12, 0, 6, 0, 0, -42, 0, 0, 0, 0, 0, 36, 0, 0, 0, -76, 0, -144, 0, 0, 126, -38, 0, 0, 0, 0, -24, -48, 0, 0, 24, 0, -4, 0, 0, -90, -84, 0, 0, 0, 0, 0, -64, 0, 0, -144, 0, -180, 0, 0, -80, -12, 0, 0, 0, 0, 138, -60, 0, 0, 0, 0, 24, 0, 0, -66, -48, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 212, 0, 0, 112, -110, 0, 0, 0, 0, 6, 90, 0, 0, -72, 0, 168, 0, 0, 68, -20, 0, 0, 0, 0, -90, -36, 0, 0, 0, 0, 28, 0, 0, 126, 324, 0, 0, 0, 0, 44, -94, 0, 0, 360, 0, 0, 0, 0, -82, -24, 0, 0, 0, 0, 114, -64, 0, 0, 132, 0, 0, 0, 0, 192, 120, 0, 0, 0, 0, 0, 114, 0, 0, 12, 0, 110, 0, 0, -132, -44, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, -100, 4, 0, 0, 0, 0, -38, -204, 0, 0, -96, 0, -48, 0, 0, -52, -72, 0, 0, 0, 0, 90, 0, 0, 0, 306, 0, 48, 0, 0, 154, -24, 0, 0, 0, 0, 0, 376, 0, 0, 52, 0, 138, 0, 0, 0, 232, 0, 0, 0, 0, 162, 48, 0, 0, -170, 0, 0, 0, 0, 0, 150, 0, 0, 0, 0, 102, 366, 0, 0, -148, 0, -258, 0, 0, 38, 0, 0, 0, 0, 0, -6, 60, 0, 0, 594, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, -284, -60, 0, 0, -16, 0, 34, 0, 0, -438, 132, 0, 0, 0, 0, -76, 124, 0, 0, 0, 0, 92, 0, 0, -202, 0, 0, 0, 0, 0, -66, -296, 0, 0, -84, 0, -58, 0, 0, -498, -264, 0, 0, 0, 0, -120, 120, 0, 0, 150, 0, 576, 0, 0, 0, -350, 0, 0, 0, 0, -120, 84, 0, 0, -408, 0, -144, 0, 0, 36, 36, 0, 0, 0, 0, -270, -8, 0, 0, -36, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, -84, 264, 0, 0, 236, 0, -152, 0, 0, -6, -132, 0, 0, 0, 0, -292, -60, 0, 0, 154, 0, 18, 0, 0, 76, -96, 0, 0, 0, 0, -258, -340, 0, 0, -368, 0, -300, 0, 0, 184, 140, 0, 0, 0, 0, 0, -40, 0, 0, -50, 0, 60, 0, 0, -582, 278, 0, 0, 0, 0, 0, -324, 0, 0, -648, 0, 80, 0, 0, -152, 8, 0, 0, 0, 0, -210, 0, 0, 0, 166, 0, 64, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, -64, 0, 0, 370, 48, 0, 0, 0, 0, 726, -156, 0, 0, 114, 0, 158, 0, 0, -42, 0, 0, 0, 0, 0, 98, 0, 0, 0, 344, 0, -588, 0, 0, 600, 24, 0, 0, 0, 0, 336, -132, 0, 0, -328, 0, 12, 0, 0, -234, -384, 0, 0, 0, 0, 0, -50, 0, 0, -260, 0, -148, 0, 0, -350, -108, 0, 0, 0, 0, 450, -324, 0, 0, 0, 0, 528, 0, 0, -68, -174, 0, 0, 0, 0, 294, 0, 0, 0, 0, 0, 288, 0, 0, 908, -168, 0, 0, 0, 0, -202, 456, 0, 0, 134, 0, 128, 0, 0, 164, -74, 0, 0, 0, 0, -256, -174, 0, 0, 0, 0, 50, 0, 0, 864, 424, 0, 0, 0, 0, 118, -76, 0, 0, 348, 0, 0, 0, 0, 34, -8, 0, 0, 0, 0, 48, -122, 0, 0, 296, 0, 0, 0, 0, 720, -72, 0, 0, 0, 0, 340, 232, 0, 0, 678, 0, 274, 0, 0, -126, 40, 0, 0, 0, 0, 0, -522, 0, 0, 0, 0, 0, 0, 0, -576, 152, 0, 0, 0, 0, 40, -56, 0, 0, -132, 0, 126, 0, 0, 8, 504, 0, 0, 0, 0, 348, 0, 0, 0, 312, 0, 210, 0, 0, 394, 160, 0, 0, 0, 0, -222, 292, 0, 0, -12, 0, 42, 0, 0, 0, 512, 0, 0, 0, 0, 432, -426, 0, 0, -108, 0, 0, 0, 0, 0, 620, 0, 0, 0, 0, 388, 696, 0, 0, -726, 0, -408, 0, 0, -30, 0, 0, 0, 0, 0, 132, 534, 0, 0, 684, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, -812, 172, 0, 0, 264, 0, -86, 0, 0, -594, 60, 0, 0, 0, 0, 74, -296, 0, 0, 0, 0, -6, 0, 0, -616, 0, 0, 0, 0, 0, -450, 392, 0, 0, -696, 0, -470, 0, 0, -324, -690, 0, 0, 0, 0, -10, -272, 0, 0, 300, 0, 924, 0, 0, 0, -200, 0, 0, 0, 0, -332, 996, 0, 0, -264, 0, -96, 0, 0, 126, -312, 0, 0, 0, 0, 84, -342, 0, 0, 396, 0, 0, 0, 0, -354, 0, 0, 0, 0, 0, -272, 384, 0, 0, 552, 0, -864, 0, 0, 192, -432, 0, 0, 0, 0, -628, -156, 0, 0, -48, 0, 120, 0, 0, 684, -168, 0, 0, 0, 0, -338, -616, 0, 0, -648, 0, -1158, 0, 0, 200, 182, 0, 0, 0, 0, 0, 72, 0, 0, 56, 0, -492, 0, 0, -1068, 288, 0, 0, 0, 0, 0, 60, 0, 0, -1290, 0, -50, 0, 0, -268, -32, 0, 0, 0, 0, -180, 0, 0, 0, -20, 0, -152, 0, 0, 0, -348, 0, 0, 0, 0, 0, 0, 0, 0, -800, 0, -36, 0, 0, 210, -344], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 338386
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 20, 'source_dim': 104, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '465.2.t.d', 'source_level': 465, 'target_char_orbit': 20, 'target_dim': 104, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '465.2.t.d', 'target_level': 465, 'twist_class_label': '465.2.t.d', 'twist_class_level': 465, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 338387
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 104, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '465.2.t.d', 'source_level': 465, 'target_char_orbit': 20, 'target_dim': 104, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '465.2.t.d', 'target_level': 465, 'twist_class_label': '465.2.t.d', 'twist_class_level': 465, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 338388
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 104, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '465.2.t.d', 'source_level': 465, 'target_char_orbit': 20, 'target_dim': 104, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '465.2.t.d', 'target_level': 465, 'twist_class_label': '465.2.t.d', 'twist_class_level': 465, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 338389
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 104, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '465.2.t.d', 'source_level': 465, 'target_char_orbit': 20, 'target_dim': 104, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '465.2.t.d', 'target_level': 465, 'twist_class_label': '465.2.t.d', 'twist_class_level': 465, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 338390
    {'conductor': 31, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 104, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '465.2.t.d', 'source_level': 465, 'target_char_orbit': 20, 'target_dim': 104, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '465.2.t.d', 'target_level': 465, 'twist_class_label': '465.2.t.d', 'twist_class_level': 465, 'twisting_char_label': '31.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 338391
    {'conductor': 93, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 104, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '465.2.t.d', 'source_level': 465, 'target_char_orbit': 20, 'target_dim': 104, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '465.2.t.d', 'target_level': 465, 'twist_class_label': '465.2.t.d', 'twist_class_level': 465, 'twisting_char_label': '93.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 338392
    {'conductor': 155, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 104, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '465.2.t.d', 'source_level': 465, 'target_char_orbit': 20, 'target_dim': 104, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '465.2.t.d', 'target_level': 465, 'twist_class_label': '465.2.t.d', 'twist_class_level': 465, 'twisting_char_label': '155.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 338393
    {'conductor': 465, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 104, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '465.2.t.d', 'source_level': 465, 'target_char_orbit': 20, 'target_dim': 104, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '465.2.t.d', 'target_level': 465, 'twist_class_label': '465.2.t.d', 'twist_class_level': 465, 'twisting_char_label': '465.t', 'twisting_char_orbit': 20, 'weight': 2}
• hecke_orbit_code 13512104585724369 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': 20, 'hecke_orbit': 4, 'label': '465.2.t.d', 'level': 465, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 37502341
    {'hecke_orbit_code': 13512104585724369, 'n': 1, 'trace_an': 104}
  • id: 37502342
    {'hecke_orbit_code': 13512104585724369, 'n': 2, 'trace_an': 0}
  • id: 37502343
    {'hecke_orbit_code': 13512104585724369, 'n': 3, 'trace_an': 0}
  • id: 37502344
    {'hecke_orbit_code': 13512104585724369, 'n': 4, 'trace_an': 56}
  • id: 37502345
    {'hecke_orbit_code': 13512104585724369, 'n': 5, 'trace_an': 0}
  • id: 37502346
    {'hecke_orbit_code': 13512104585724369, 'n': 6, 'trace_an': -12}
  • id: 37502347
    {'hecke_orbit_code': 13512104585724369, 'n': 7, 'trace_an': 0}
  • id: 37502348
    {'hecke_orbit_code': 13512104585724369, 'n': 8, 'trace_an': 0}
  • id: 37502349
    {'hecke_orbit_code': 13512104585724369, 'n': 9, 'trace_an': -2}
  • id: 37502350
    {'hecke_orbit_code': 13512104585724369, 'n': 10, 'trace_an': -20}
  • id: 37502351
    {'hecke_orbit_code': 13512104585724369, 'n': 11, 'trace_an': 0}
  • id: 37502352
    {'hecke_orbit_code': 13512104585724369, 'n': 12, 'trace_an': 0}
  • id: 37502353
    {'hecke_orbit_code': 13512104585724369, 'n': 13, 'trace_an': 0}
  • id: 37502354
    {'hecke_orbit_code': 13512104585724369, 'n': 14, 'trace_an': 0}
  • id: 37502355
    {'hecke_orbit_code': 13512104585724369, 'n': 15, 'trace_an': 0}
  • id: 37502356
    {'hecke_orbit_code': 13512104585724369, 'n': 16, 'trace_an': -24}
  • id: 37502357
    {'hecke_orbit_code': 13512104585724369, 'n': 17, 'trace_an': 0}
  • id: 37502358
    {'hecke_orbit_code': 13512104585724369, 'n': 18, 'trace_an': 0}
  • id: 37502359
    {'hecke_orbit_code': 13512104585724369, 'n': 19, 'trace_an': 12}
  • id: 37502360
    {'hecke_orbit_code': 13512104585724369, 'n': 20, 'trace_an': 0}
  • id: 37502361
    {'hecke_orbit_code': 13512104585724369, 'n': 21, 'trace_an': -6}
  • id: 37502362
    {'hecke_orbit_code': 13512104585724369, 'n': 22, 'trace_an': 0}
  • id: 37502363
    {'hecke_orbit_code': 13512104585724369, 'n': 23, 'trace_an': 0}
  • id: 37502364
    {'hecke_orbit_code': 13512104585724369, 'n': 24, 'trace_an': -48}
  • id: 37502365
    {'hecke_orbit_code': 13512104585724369, 'n': 25, 'trace_an': 8}
  • id: 37502366
    {'hecke_orbit_code': 13512104585724369, 'n': 26, 'trace_an': 0}
  • id: 37502367
    {'hecke_orbit_code': 13512104585724369, 'n': 27, 'trace_an': 0}
  • id: 37502368
    {'hecke_orbit_code': 13512104585724369, 'n': 28, 'trace_an': 0}
  • id: 37502369
    {'hecke_orbit_code': 13512104585724369, 'n': 29, 'trace_an': 0}
  • id: 37502370
    {'hecke_orbit_code': 13512104585724369, 'n': 30, 'trace_an': 0}
  • id: 37502371
    {'hecke_orbit_code': 13512104585724369, 'n': 31, 'trace_an': -40}
  • id: 37502372
    {'hecke_orbit_code': 13512104585724369, 'n': 32, 'trace_an': 0}
  • id: 37502373
    {'hecke_orbit_code': 13512104585724369, 'n': 33, 'trace_an': 0}
  • id: 37502374
    {'hecke_orbit_code': 13512104585724369, 'n': 34, 'trace_an': 108}
  • id: 37502375
    {'hecke_orbit_code': 13512104585724369, 'n': 35, 'trace_an': 0}
  • id: 37502376
    {'hecke_orbit_code': 13512104585724369, 'n': 36, 'trace_an': 36}
  • id: 37502377
    {'hecke_orbit_code': 13512104585724369, 'n': 37, 'trace_an': 0}
  • id: 37502378
    {'hecke_orbit_code': 13512104585724369, 'n': 38, 'trace_an': 0}
  • id: 37502379
    {'hecke_orbit_code': 13512104585724369, 'n': 39, 'trace_an': 52}
  • id: 37502380
    {'hecke_orbit_code': 13512104585724369, 'n': 40, 'trace_an': -76}
  • id: 37502381
    {'hecke_orbit_code': 13512104585724369, 'n': 41, 'trace_an': 0}
  • id: 37502382
    {'hecke_orbit_code': 13512104585724369, 'n': 42, 'trace_an': 0}
  • id: 37502383
    {'hecke_orbit_code': 13512104585724369, 'n': 43, 'trace_an': 0}
  • id: 37502384
    {'hecke_orbit_code': 13512104585724369, 'n': 44, 'trace_an': 0}
  • id: 37502385
    {'hecke_orbit_code': 13512104585724369, 'n': 45, 'trace_an': -4}
  • id: 37502386
    {'hecke_orbit_code': 13512104585724369, 'n': 46, 'trace_an': 0}
  • id: 37502387
    {'hecke_orbit_code': 13512104585724369, 'n': 47, 'trace_an': 0}
  • id: 37502388
    {'hecke_orbit_code': 13512104585724369, 'n': 48, 'trace_an': 0}
  • id: 37502389
    {'hecke_orbit_code': 13512104585724369, 'n': 49, 'trace_an': 80}
  • id: 37502390
    {'hecke_orbit_code': 13512104585724369, 'n': 50, 'trace_an': 0}
  • id: 37502391
    {'hecke_orbit_code': 13512104585724369, 'n': 51, 'trace_an': -20}
  • id: 37502392
    {'hecke_orbit_code': 13512104585724369, 'n': 52, 'trace_an': 0}
  • id: 37502393
    {'hecke_orbit_code': 13512104585724369, 'n': 53, 'trace_an': 0}
  • id: 37502394
    {'hecke_orbit_code': 13512104585724369, 'n': 54, 'trace_an': 0}
  • id: 37502395
    {'hecke_orbit_code': 13512104585724369, 'n': 55, 'trace_an': 72}
  • id: 37502396
    {'hecke_orbit_code': 13512104585724369, 'n': 56, 'trace_an': 0}
  • id: 37502397
    {'hecke_orbit_code': 13512104585724369, 'n': 57, 'trace_an': 0}
  • id: 37502398
    {'hecke_orbit_code': 13512104585724369, 'n': 58, 'trace_an': 0}
  • id: 37502399
    {'hecke_orbit_code': 13512104585724369, 'n': 59, 'trace_an': 0}
  • id: 37502400
    {'hecke_orbit_code': 13512104585724369, 'n': 60, 'trace_an': 0}
  • id: 37502401
    {'hecke_orbit_code': 13512104585724369, 'n': 61, 'trace_an': 0}
  • id: 37502402
    {'hecke_orbit_code': 13512104585724369, 'n': 62, 'trace_an': 0}
  • id: 37502403
    {'hecke_orbit_code': 13512104585724369, 'n': 63, 'trace_an': 0}
  • id: 37502404
    {'hecke_orbit_code': 13512104585724369, 'n': 64, 'trace_an': -32}
  • id: 37502405
    {'hecke_orbit_code': 13512104585724369, 'n': 65, 'trace_an': 0}
  • id: 37502406
    {'hecke_orbit_code': 13512104585724369, 'n': 66, 'trace_an': -156}
  • id: 37502407
    {'hecke_orbit_code': 13512104585724369, 'n': 67, 'trace_an': 0}
  • id: 37502408
    {'hecke_orbit_code': 13512104585724369, 'n': 68, 'trace_an': 0}
  • id: 37502409
    {'hecke_orbit_code': 13512104585724369, 'n': 69, 'trace_an': 32}
  • id: 37502410
    {'hecke_orbit_code': 13512104585724369, 'n': 70, 'trace_an': -56}
  • id: 37502411
    {'hecke_orbit_code': 13512104585724369, 'n': 71, 'trace_an': 0}
  • id: 37502412
    {'hecke_orbit_code': 13512104585724369, 'n': 72, 'trace_an': 0}
  • id: 37502413
    {'hecke_orbit_code': 13512104585724369, 'n': 73, 'trace_an': 0}
  • id: 37502414
    {'hecke_orbit_code': 13512104585724369, 'n': 74, 'trace_an': 0}
  • id: 37502415
    {'hecke_orbit_code': 13512104585724369, 'n': 75, 'trace_an': 54}
  • id: 37502416
    {'hecke_orbit_code': 13512104585724369, 'n': 76, 'trace_an': -120}
  • id: 37502417
    {'hecke_orbit_code': 13512104585724369, 'n': 77, 'trace_an': 0}
  • id: 37502418
    {'hecke_orbit_code': 13512104585724369, 'n': 78, 'trace_an': 0}
  • id: 37502419
    {'hecke_orbit_code': 13512104585724369, 'n': 79, 'trace_an': -120}
  • id: 37502420
    {'hecke_orbit_code': 13512104585724369, 'n': 80, 'trace_an': 0}
  • id: 37502421
    {'hecke_orbit_code': 13512104585724369, 'n': 81, 'trace_an': 38}
  • id: 37502422
    {'hecke_orbit_code': 13512104585724369, 'n': 82, 'trace_an': 0}
  • id: 37502423
    {'hecke_orbit_code': 13512104585724369, 'n': 83, 'trace_an': 0}
  • id: 37502424
    {'hecke_orbit_code': 13512104585724369, 'n': 84, 'trace_an': -42}
  • id: 37502425
    {'hecke_orbit_code': 13512104585724369, 'n': 85, 'trace_an': 0}
  • id: 37502426
    {'hecke_orbit_code': 13512104585724369, 'n': 86, 'trace_an': 0}
  • id: 37502427
    {'hecke_orbit_code': 13512104585724369, 'n': 87, 'trace_an': 0}
  • id: 37502428
    {'hecke_orbit_code': 13512104585724369, 'n': 88, 'trace_an': 0}
  • id: 37502429
    {'hecke_orbit_code': 13512104585724369, 'n': 89, 'trace_an': 0}
  • id: 37502430
    {'hecke_orbit_code': 13512104585724369, 'n': 90, 'trace_an': 66}
  • id: 37502431
    {'hecke_orbit_code': 13512104585724369, 'n': 91, 'trace_an': 0}
  • id: 37502432
    {'hecke_orbit_code': 13512104585724369, 'n': 92, 'trace_an': 0}
  • id: 37502433
    {'hecke_orbit_code': 13512104585724369, 'n': 93, 'trace_an': 0}
  • id: 37502434
    {'hecke_orbit_code': 13512104585724369, 'n': 94, 'trace_an': -120}
  • id: 37502435
    {'hecke_orbit_code': 13512104585724369, 'n': 95, 'trace_an': 0}
  • id: 37502436
    {'hecke_orbit_code': 13512104585724369, 'n': 96, 'trace_an': -54}
  • id: 37502437
    {'hecke_orbit_code': 13512104585724369, 'n': 97, 'trace_an': 0}
  • id: 37502438
    {'hecke_orbit_code': 13512104585724369, 'n': 98, 'trace_an': 0}
  • id: 37502439
    {'hecke_orbit_code': 13512104585724369, 'n': 99, 'trace_an': 66}
  • id: 37502440
    {'hecke_orbit_code': 13512104585724369, 'n': 100, 'trace_an': -88}