Newform data - 368.2.m.f

Formats: - HTML - YAML - JSON - 2026-09-22T09:43:05.506315

• 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': 1472, 'analytic_conductor': 2.9384947943831183, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 23, 'char_degree': 10, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 11, 'char_parity': 1, 'char_values': [368, 11, [47, 277, 97], [11, 11, 8]], 'cm_discs': [], 'conrey_index': 49, 'dim': 30, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [121, -1331, 8591, -48884, 250228, -1036266, 3291145, -7823255, 13717891, -15635675, 8584368, 4014271, -7356633, 1451047, 2000368, -112304, 782209, -532571, 40747, -67562, 51734, -11946, 8496, -2663, 1383, -413, 171, -31, 18, -2, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22518822804128112, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 3, 1, 11, 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': '368.2.m.f', 'level': 368, '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, 23], 'level_radical': 46, 'minimal_twist': '184.2.i.a', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c11', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '368.2.m', 'trace_display': [0, 2, 2, -13], 'traces': [30, 0, 2, 0, 2, 0, -13, 0, -23, 0, 4, 0, 0, 0, 2, 0, 26, 0, 5, 0, 2, 0, 1, 0, -11, 0, -19, 0, -19, 0, 6, 0, 20, 0, 63, 0, 36, 0, 22, 0, -11, 0, -13, 0, -92, 0, -24, 0, -48, 0, 41, 0, 27, 0, 59, 0, -2, 0, 11, 0, -31, 0, -82, 0, -30, 0, -21, 0, 18, 0, 52, 0, 32, 0, -3, 0, -21, 0, -54, 0, 3, 0, -70, 0, -8, 0, -33, 0, 77, 0, -26, 0, 82, 0, -21, 0, 31, 0, -201, 0, -20, 0, -28, 0, 96, 0, 33, 0, 56, 0, 51, 0, 30, 0, -53, 0, -39, 0, 19, 0, -139, 0, 29, 0, -12, 0, 94, 0, 54, 0, 81, 0, -87, 0, -10, 0, -132, 0, -16, 0, -88, 0, 84, 0, 54, 0, 147, 0, -28, 0, 21, 0, -86, 0, -17, 0, -43, 0, 22, 0, 5, 0, 26, 0, 202, 0, -28, 0, -39, 0, 22, 0, -72, 0, -160, 0, 2, 0, -42, 0, 80, 0, 46, 0, 92, 0, 66, 0, 60, 0, -69, 0, 50, 0, -63, 0, 47, 0, 92, 0, 143, 0, 15, 0, 114, 0, 60, 0, -42, 0, 15, 0, -155, 0, 39, 0, -37, 0, 272, 0, 10, 0, -35, 0, -75, 0, -10, 0, -186, 0, 36, 0, -45, 0, 57, 0, -31, 0, 146, 0, -22, 0, 83, 0, -15, 0, -126, 0, -68, 0, -2, 0, 135, 0, -8, 0, 74, 0, -79, 0, 48, 0, -144, 0, -12, 0, -212, 0, 50, 0, -77, 0, 118, 0, -160, 0, 150, 0, -131, 0, 102, 0, -106, 0, 45, 0, -221, 0, -147, 0, -62, 0, 148, 0, -17, 0, -45, 0, -80, 0, -9, 0, -67, 0, -31, 0, 26, 0, 40, 0, 79, 0, -28, 0, 160, 0, -44, 0, 108, 0, -146, 0, -136, 0, -127, 0, 88, 0, 64, 0, 9, 0, -49, 0, -37, 0, -68, 0, 29, 0, -82, 0, 20, 0, -64, 0, 107, 0, -97, 0, 111, 0, 43, 0, 48, 0, -9, 0, 21, 0, 70, 0, 73, 0, 104, 0, 94, 0, 4, 0, -4, 0, 182, 0, 43, 0, -24, 0, 59, 0, 99, 0, 11, 0, -105, 0, -25, 0, -48, 0, 4, 0, -3, 0, 98, 0, -127, 0, 39, 0, -128, 0, -5, 0, -53, 0, 102, 0, -47, 0, -8, 0, -40, 0, 198, 0, -148, 0, 211, 0, -34, 0, 35, 0, -37, 0, 66, 0, 30, 0, 42, 0, 47, 0, -23, 0, -171, 0, -207, 0, 151, 0, -43, 0, -30, 0, -173, 0, -19, 0, -56, 0, -76, 0, -65, 0, 68, 0, -492, 0, 54, 0, -218, 0, -28, 0, -86, 0, 5, 0, 14, 0, 171, 0, -60, 0, -57, 0, -88, 0, 139, 0, -65, 0, -71, 0, 127, 0, 210, 0, -95, 0, 121, 0, -96, 0, -138, 0, -27, 0, -168, 0, -1, 0, -50, 0, 154, 0, 76, 0, -15, 0, -233, 0, 34, 0, 2, 0, 110, 0, 133, 0, 146, 0, 106, 0, 102, 0, 63, 0, 116, 0, 101, 0, 109, 0, 113, 0, 80, 0, 297, 0, 180, 0, 165, 0, -53, 0, -60, 0, 16, 0, -36, 0, -73, 0, 107, 0, -10, 0, 217, 0, 64, 0, -24, 0, 14, 0, 6, 0, 21, 0, -100, 0, 134, 0, 75, 0, 88, 0, 163, 0, 173, 0, -72, 0, -78, 0, 88, 0, 32, 0, 1, 0, 331, 0, 102, 0, 98, 0, -1, 0, -61, 0, -212, 0, -69, 0, 23, 0, -125, 0, -119, 0, -117, 0, -62, 0, -150, 0, 73, 0, -130, 0, -141, 0, -441, 0, 74, 0, -3, 0, 139, 0, 69, 0, 138, 0, -436, 0, -28, 0, 126, 0, 50, 0, -164, 0, -29, 0, -6, 0, 65, 0, -39, 0, 57, 0, -125, 0, -36, 0, -135, 0, -194, 0, -101, 0, -51, 0, -70, 0, -166, 0, -83, 0, -106, 0, -96, 0, -303, 0, -24, 0, 62, 0, -40, 0, 60, 0, 198, 0, -176, 0, 203, 0, 12, 0, 207, 0, -255, 0, 285, 0, 178, 0, 310, 0, 81, 0, 103, 0, -253, 0, -38, 0, -239, 0, 21, 0, -28, 0, 350, 0, -2, 0, -20, 0, -47, 0, 147, 0, -116, 0, -70, 0, 14, 0, 42, 0, -84, 0, 313, 0, 276, 0, 227, 0, 0, 0, 227, 0, -151, 0, 154, 0, 25, 0, 284, 0, 14, 0, 150, 0, -50, 0, -51, 0, -7, 0, 67, 0, -262, 0, -161, 0, -56, 0, 146, 0, -110, 0, 84, 0, 66, 0, -291, 0, -124, 0, -179, 0, -21, 0, -276, 0, 139, 0, 35, 0, -85, 0, -222, 0, 173, 0, -190, 0, 91, 0, -183, 0, 5, 0, -299, 0, 315, 0, 118, 0, 94, 0, -159, 0, -86, 0, -386, 0, -266, 0, -108, 0, 195, 0, -205, 0, 189, 0, -346, 0, -110, 0, -328, 0, -192, 0, -279, 0, 54, 0, -62, 0, 132, 0, -24, 0, 154, 0, 170, 0, -254, 0, -306, 0, 204, 0, -184, 0, 72, 0, 47, 0, 136, 0, -158, 0, -45, 0, 108, 0, -111, 0, -278, 0, 115, 0, 62, 0, -105, 0, 272, 0, 36, 0, 188, 0, 272, 0, 20, 0, -120, 0, 14, 0, 36, 0, 135, 0, 163, 0, 264, 0, 138, 0, 112, 0, 75, 0, 24, 0, 60, 0, 297, 0, 65, 0, 435, 0, -177, 0, 72, 0, 197, 0, 50, 0, -253, 0, 55, 0, -79, 0, 18, 0, 301, 0, 289, 0, 89, 0, -174, 0, -135, 0, -309, 0, -296, 0, 267, 0, 97, 0, 66, 0, 156, 0, 116, 0, 385, 0, -62, 0, 60, 0, -6, 0, -60, 0, 178, 0, 305, 0, 59, 0, -6, 0, 196, 0, -191, 0, -185, 0, -129, 0, -137, 0, -58, 0, -216, 0], 'weight': 2, 'weight_parity': 1}
• label 368.2.m.f 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': 1472, 'analytic_conductor': 2.9384947943831183, 'char_conductor': 23, 'char_degree': 10, 'char_is_real': False, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 11, 'char_parity': 1, 'char_values': [368, 11, [47, 277, 97], [11, 11, 8]], 'conrey_index': 49, 'cusp_dim': 420, 'dim': 110, 'eis_dim': 120, 'eis_new_dim': 20, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 824667275632, 'hecke_orbit_dims': [10, 10, 10, 20, 30, 30], 'label': '368.2.m', 'level': 368, '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, 23], 'level_radical': 46, 'mf_dim': 540, 'mf_new_dim': 130, 'num_forms': 6, 'prim_orbit_index': 3, 'relative_dim': 11, 'sturm_bound': 96, 'trace_bound': 3, 'trace_display': [0, 9, -9, 7], 'traces': [110, 0, 9, 0, -9, 0, 7, 0, -18, 0, 11, 0, -9, 0, 11, 0, -9, 0, 7, 0, -11, 0, 14, 0, -16, 0, 9, 0, -9, 0, 1, 0, -3, 0, 11, 0, -1, 0, -3, 0, -17, 0, 11, 0, -12, 0, 44, 0, -22, 0, 7, 0, -1, 0, 35, 0, -19, 0, 15, 0, 7, 0, -21, 0, -23, 0, 19, 0, -11, 0, 17, 0, -9, 0, -61, 0, -47, 0, -83, 0, 74, 0, -35, 0, 1, 0, -141, 0, 27, 0, -114, 0, -166, 0, -129, 0, 27, 0, -179, 0, -5, 0, -19, 0, 101, 0, -27, 0, -45, 0, -31, 0, -1, 0, 5, 0, 11, 0, 35, 0, -18, 0, 33, 0, 1, 0, -19, 0, -11, 0, 33, 0, -27, 0, 28, 0, -44, 0, -32, 0, -32, 0, -5, 0, -31, 0, -47, 0, -25, 0, 9, 0, -9, 0, 59, 0, -33, 0, 27, 0, 33, 0, 107, 0, 101, 0, 105, 0, 48, 0, 243, 0, 39, 0, 179, 0, 53, 0, 87, 0, 99, 0, 210, 0, 86, 0, 203, 0, 113, 0, 181, 0, 71, 0, 143, 0, 35, 0, 187, 0, 77, 0, 69, 0, 49, 0, 130, 0, 41, 0, 27, 0, -31, 0, -13, 0, -27, 0, 61, 0, -7, 0, -69, 0, -3, 0, 23, 0, -52, 0, 86, 0, -9, 0, 82, 0, -59, 0, 65, 0, 15, 0, 23, 0, 27, 0, -189, 0, -7, 0, -111, 0, 77, 0, -253, 0, -141, 0, -269, 0, 119, 0, -339, 0, -191, 0, -355, 0, 103, 0, -41, 0, -108, 0, -348, 0, 164, 0, -306, 0, -73, 0, -137, 0, 181, 0, -391, 0, -212, 0, -291, 0, 59, 0, -149, 0, -95, 0, -277, 0, 77, 0, -135, 0, -59, 0, -101, 0, -31, 0, 25, 0, -25, 0, 200, 0, 43, 0, -45, 0, 10, 0, -98, 0, 27, 0, 3, 0, -8, 0, -61, 0, 31, 0, 81, 0, -81, 0, 355, 0, 21, 0, 177, 0, -99, 0, 187, 0, -33, 0, 325, 0, -141, 0, 319, 0, -51, 0, 111, 0, -46, 0, 307, 0, -31, 0, 264, 0, -268, 0, 249, 0, 7, 0, 437, 0, -67, 0, 115, 0, -103, 0, 191, 0, -119, 0, 127, 0, -17, 0, 157, 0, -91, 0, 145, 0, -17, 0, 159, 0, -17, 0, 151, 0, -116, 0, -71, 0, -57, 0, 108, 0, -6, 0, 94, 0, -68, 0, 9, 0, -17, 0, 68, 0, 67, 0, -263, 0, -3, 0, -225, 0, 103, 0, -237, 0, -231, 0, -367, 0, 258, 0, -149, 0, 9, 0, -469, 0, 171, 0, -117, 0, -327, 0, -218, 0, 151, 0, -630, 0, -44, 0, -533, 0, 102, 0, -421, 0, -339, 0, -149, 0, 193, 0, -349, 0, -25, 0, -79, 0, 157, 0, -397, 0, -235, 0, -147, 0, 165, 0, -79, 0, 113, 0, -254, 0, 69, 0, -69, 0, -195, 0, -123, 0, -82, 0, -12, 0, -9, 0, 151, 0, 49, 0, 121, 0, -108, 0, 285, 0, 179, 0, 375, 0, 261, 0, 309, 0, 66, 0, 477, 0, 189, 0, 371, 0, 153, 0, 529, 0, 327, 0, 215, 0, 261, 0, 165, 0, 102, 0, 662, 0, 122, 0, 664, 0, 103, 0, 307, 0, 321, 0, 375, 0, 329, 0, 397, 0, 155, 0, 247, 0, 149, 0, 494, 0, 23, 0, 275, 0, 261, 0, 219, 0, -26, 0, 223, 0, 141, 0, 119, 0, 147, 0, 193, 0, 90, 0, 108, 0, -21, 0, -149, 0, 59, 0, -27, 0, -135, 0, -112, 0, 103, 0, -759, 0, -161, 0, -303, 0, 241, 0, -367, 0, -162, 0, -631, 0, 113, 0, -381, 0, -199, 0, -143, 0, 70, 0, -469, 0, -205, 0, -272, 0, 314, 0, -269, 0, -215, 0, -616, 0, 131, 0, -119, 0, -237, 0, -209, 0, 191, 0, -339, 0, -3, 0, -331, 0, 197, 0, -199, 0, -233, 0, -392, 0, -17, 0, -277, 0, -239, 0, -19, 0, 14, 0, -140, 0, -42, 0, 36, 0, -48, 0, 120, 0, -23, 0, 137, 0, -197, 0, 231, 0, -224, 0, 431, 0, -305, 0, 305, 0, -47, 0, 435, 0, -503, 0, 259, 0, -91, 0, 459, 0, -345, 0, 329, 0, -54, 0, 169, 0, -321, 0, 522, 0, -126, 0, 457, 0, -251, 0, 397, 0, -179, 0, 369, 0, -367, 0, 323, 0, -51, 0, 107, 0, -353, 0, 475, 0, -61, 0, 305, 0, -434, 0, 231, 0, -9, 0, 349, 0, -189, 0, -113, 0, -71, 0, 71, 0, -390, 0, -138, 0, 65, 0, -111, 0, -51, 0, -181, 0, 137, 0, -503, 0, -409, 0, -256, 0, 63, 0, -619, 0, 5, 0, -435, 0, 311, 0, -617, 0, -535, 0, -729, 0, 249, 0, -278, 0, 43, 0, -491, 0, 380, 0, -464, 0, -412, 0, -468, 0, 391, 0, -665, 0, -162, 0, -589, 0, 292, 0, -685, 0, -401, 0, -323, 0, 141, 0, -415, 0, 43, 0, -386, 0, 87, 0, -249, 0, -255, 0, -407, 0, 377, 0, 21, 0, 57, 0, -263, 0, 340, 0, -470, 0, -125, 0, 193, 0, 83, 0, 81, 0, 265, 0, 279, 0, 145, 0, 675, 0, -128, 0, 317, 0, 405, 0, 397, 0, 249, 0, 721, 0, 125, 0, 595, 0, 267, 0, 159, 0, 85, 0, 540, 0, 185, 0, 548, 0, 394, 0, 483, 0, 184, 0, 717, 0, 207, 0, 167, 0, 449, 0, 359, 0, 67, 0, 473, 0, 71, 0, 379, 0, 270, 0, 283, 0, 153, 0, 411, 0, -21, 0, 15, 0, 369, 0, 66, 0, 58, 0, 376, 0, 150, 0, 148, 0, 200, 0, -107, 0, 156, 0, -33, 0, 19, 0, -79, 0, 307, 0, -443, 0, -215, 0, -54, 0, 165, 0, -567, 0, -203, 0, -387, 0, 283, 0, -767, 0], '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: 278867
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 30, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '368.2.m.f', 'source_level': 368, 'target_char_orbit': 9, 'target_dim': 30, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '184.2.i.a', 'target_level': 184, 'twist_class_label': '184.2.i.a', 'twist_class_level': 184, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 278868
    {'conductor': 92, 'degree': 10, 'multiplicity': 1, 'order': 22, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 30, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '368.2.m.f', 'source_level': 368, 'target_char_orbit': 9, 'target_dim': 30, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '184.2.i.a', 'target_level': 184, 'twist_class_label': '184.2.i.a', 'twist_class_level': 184, 'twisting_char_label': '92.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 278869
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 13, 'source_dim': 30, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '368.2.m.f', 'source_level': 368, 'target_char_orbit': 13, 'target_dim': 30, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '368.2.m.f', 'target_level': 368, 'twist_class_label': '184.2.i.a', 'twist_class_level': 184, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 278870
    {'conductor': 23, 'degree': 10, 'multiplicity': 1, 'order': 11, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 30, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '368.2.m.f', 'source_level': 368, 'target_char_orbit': 13, 'target_dim': 30, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '368.2.m.f', 'target_level': 368, 'twist_class_label': '184.2.i.a', 'twist_class_level': 184, 'twisting_char_label': '23.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 278871
    {'conductor': 92, 'degree': 10, 'multiplicity': 1, 'order': 22, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 30, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '368.2.m.f', 'source_level': 368, 'target_char_orbit': 1, 'target_dim': 15, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '4232.2.a.y', 'target_level': 4232, 'twist_class_label': '184.2.i.a', 'twist_class_level': 184, 'twisting_char_label': '92.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 278872
    {'conductor': 92, 'degree': 10, 'multiplicity': 1, 'order': 22, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 30, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '368.2.m.f', 'source_level': 368, 'target_char_orbit': 1, 'target_dim': 15, 'target_hecke_orbit': 26, 'target_is_minimal': False, 'target_label': '4232.2.a.z', 'target_level': 4232, 'twist_class_label': '184.2.i.a', 'twist_class_level': 184, 'twisting_char_label': '92.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 278873
    {'conductor': 23, 'degree': 10, 'multiplicity': 1, 'order': 11, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 30, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '368.2.m.f', 'source_level': 368, 'target_char_orbit': 1, 'target_dim': 15, 'target_hecke_orbit': 61, 'target_is_minimal': False, 'target_label': '8464.2.a.ci', 'target_level': 8464, 'twist_class_label': '184.2.i.a', 'twist_class_level': 184, 'twisting_char_label': '23.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 278874
    {'conductor': 23, 'degree': 10, 'multiplicity': 1, 'order': 22, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 30, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '368.2.m.f', 'source_level': 368, 'target_char_orbit': 1, 'target_dim': 15, 'target_hecke_orbit': 62, 'target_is_minimal': False, 'target_label': '8464.2.a.cj', 'target_level': 8464, 'twist_class_label': '184.2.i.a', 'twist_class_level': 184, 'twisting_char_label': '23.d', 'twisting_char_orbit': 4, 'weight': 2}
• hecke_orbit_code 22518822804128112 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': 13, 'hecke_orbit': 6, 'label': '368.2.m.f', 'level': 368, 'portrait': 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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: 44739241
    {'hecke_orbit_code': 22518822804128112, 'n': 1, 'trace_an': 30}
  • id: 44739242
    {'hecke_orbit_code': 22518822804128112, 'n': 2, 'trace_an': 0}
  • id: 44739243
    {'hecke_orbit_code': 22518822804128112, 'n': 3, 'trace_an': 2}
  • id: 44739244
    {'hecke_orbit_code': 22518822804128112, 'n': 4, 'trace_an': 0}
  • id: 44739245
    {'hecke_orbit_code': 22518822804128112, 'n': 5, 'trace_an': 2}
  • id: 44739246
    {'hecke_orbit_code': 22518822804128112, 'n': 6, 'trace_an': 0}
  • id: 44739247
    {'hecke_orbit_code': 22518822804128112, 'n': 7, 'trace_an': -13}
  • id: 44739248
    {'hecke_orbit_code': 22518822804128112, 'n': 8, 'trace_an': 0}
  • id: 44739249
    {'hecke_orbit_code': 22518822804128112, 'n': 9, 'trace_an': -23}
  • id: 44739250
    {'hecke_orbit_code': 22518822804128112, 'n': 10, 'trace_an': 0}
  • id: 44739251
    {'hecke_orbit_code': 22518822804128112, 'n': 11, 'trace_an': 4}
  • id: 44739252
    {'hecke_orbit_code': 22518822804128112, 'n': 12, 'trace_an': 0}
  • id: 44739253
    {'hecke_orbit_code': 22518822804128112, 'n': 13, 'trace_an': 0}
  • id: 44739254
    {'hecke_orbit_code': 22518822804128112, 'n': 14, 'trace_an': 0}
  • id: 44739255
    {'hecke_orbit_code': 22518822804128112, 'n': 15, 'trace_an': 2}
  • id: 44739256
    {'hecke_orbit_code': 22518822804128112, 'n': 16, 'trace_an': 0}
  • id: 44739257
    {'hecke_orbit_code': 22518822804128112, 'n': 17, 'trace_an': 26}
  • id: 44739258
    {'hecke_orbit_code': 22518822804128112, 'n': 18, 'trace_an': 0}
  • id: 44739259
    {'hecke_orbit_code': 22518822804128112, 'n': 19, 'trace_an': 5}
  • id: 44739260
    {'hecke_orbit_code': 22518822804128112, 'n': 20, 'trace_an': 0}
  • id: 44739261
    {'hecke_orbit_code': 22518822804128112, 'n': 21, 'trace_an': 2}
  • id: 44739262
    {'hecke_orbit_code': 22518822804128112, 'n': 22, 'trace_an': 0}
  • id: 44739263
    {'hecke_orbit_code': 22518822804128112, 'n': 23, 'trace_an': 1}
  • id: 44739264
    {'hecke_orbit_code': 22518822804128112, 'n': 24, 'trace_an': 0}
  • id: 44739265
    {'hecke_orbit_code': 22518822804128112, 'n': 25, 'trace_an': -11}
  • id: 44739266
    {'hecke_orbit_code': 22518822804128112, 'n': 26, 'trace_an': 0}
  • id: 44739267
    {'hecke_orbit_code': 22518822804128112, 'n': 27, 'trace_an': -19}
  • id: 44739268
    {'hecke_orbit_code': 22518822804128112, 'n': 28, 'trace_an': 0}
  • id: 44739269
    {'hecke_orbit_code': 22518822804128112, 'n': 29, 'trace_an': -19}
  • id: 44739270
    {'hecke_orbit_code': 22518822804128112, 'n': 30, 'trace_an': 0}
  • id: 44739271
    {'hecke_orbit_code': 22518822804128112, 'n': 31, 'trace_an': 6}
  • id: 44739272
    {'hecke_orbit_code': 22518822804128112, 'n': 32, 'trace_an': 0}
  • id: 44739273
    {'hecke_orbit_code': 22518822804128112, 'n': 33, 'trace_an': 20}
  • id: 44739274
    {'hecke_orbit_code': 22518822804128112, 'n': 34, 'trace_an': 0}
  • id: 44739275
    {'hecke_orbit_code': 22518822804128112, 'n': 35, 'trace_an': 63}
  • id: 44739276
    {'hecke_orbit_code': 22518822804128112, 'n': 36, 'trace_an': 0}
  • id: 44739277
    {'hecke_orbit_code': 22518822804128112, 'n': 37, 'trace_an': 36}
  • id: 44739278
    {'hecke_orbit_code': 22518822804128112, 'n': 38, 'trace_an': 0}
  • id: 44739279
    {'hecke_orbit_code': 22518822804128112, 'n': 39, 'trace_an': 22}
  • id: 44739280
    {'hecke_orbit_code': 22518822804128112, 'n': 40, 'trace_an': 0}
  • id: 44739281
    {'hecke_orbit_code': 22518822804128112, 'n': 41, 'trace_an': -11}
  • id: 44739282
    {'hecke_orbit_code': 22518822804128112, 'n': 42, 'trace_an': 0}
  • id: 44739283
    {'hecke_orbit_code': 22518822804128112, 'n': 43, 'trace_an': -13}
  • id: 44739284
    {'hecke_orbit_code': 22518822804128112, 'n': 44, 'trace_an': 0}
  • id: 44739285
    {'hecke_orbit_code': 22518822804128112, 'n': 45, 'trace_an': -92}
  • id: 44739286
    {'hecke_orbit_code': 22518822804128112, 'n': 46, 'trace_an': 0}
  • id: 44739287
    {'hecke_orbit_code': 22518822804128112, 'n': 47, 'trace_an': -24}
  • id: 44739288
    {'hecke_orbit_code': 22518822804128112, 'n': 48, 'trace_an': 0}
  • id: 44739289
    {'hecke_orbit_code': 22518822804128112, 'n': 49, 'trace_an': -48}
  • id: 44739290
    {'hecke_orbit_code': 22518822804128112, 'n': 50, 'trace_an': 0}
  • id: 44739291
    {'hecke_orbit_code': 22518822804128112, 'n': 51, 'trace_an': 41}
  • id: 44739292
    {'hecke_orbit_code': 22518822804128112, 'n': 52, 'trace_an': 0}
  • id: 44739293
    {'hecke_orbit_code': 22518822804128112, 'n': 53, 'trace_an': 27}
  • id: 44739294
    {'hecke_orbit_code': 22518822804128112, 'n': 54, 'trace_an': 0}
  • id: 44739295
    {'hecke_orbit_code': 22518822804128112, 'n': 55, 'trace_an': 59}
  • id: 44739296
    {'hecke_orbit_code': 22518822804128112, 'n': 56, 'trace_an': 0}
  • id: 44739297
    {'hecke_orbit_code': 22518822804128112, 'n': 57, 'trace_an': -2}
  • id: 44739298
    {'hecke_orbit_code': 22518822804128112, 'n': 58, 'trace_an': 0}
  • id: 44739299
    {'hecke_orbit_code': 22518822804128112, 'n': 59, 'trace_an': 11}
  • id: 44739300
    {'hecke_orbit_code': 22518822804128112, 'n': 60, 'trace_an': 0}
  • id: 44739301
    {'hecke_orbit_code': 22518822804128112, 'n': 61, 'trace_an': -31}
  • id: 44739302
    {'hecke_orbit_code': 22518822804128112, 'n': 62, 'trace_an': 0}
  • id: 44739303
    {'hecke_orbit_code': 22518822804128112, 'n': 63, 'trace_an': -82}
  • id: 44739304
    {'hecke_orbit_code': 22518822804128112, 'n': 64, 'trace_an': 0}
  • id: 44739305
    {'hecke_orbit_code': 22518822804128112, 'n': 65, 'trace_an': -30}
  • id: 44739306
    {'hecke_orbit_code': 22518822804128112, 'n': 66, 'trace_an': 0}
  • id: 44739307
    {'hecke_orbit_code': 22518822804128112, 'n': 67, 'trace_an': -21}
  • id: 44739308
    {'hecke_orbit_code': 22518822804128112, 'n': 68, 'trace_an': 0}
  • id: 44739309
    {'hecke_orbit_code': 22518822804128112, 'n': 69, 'trace_an': 18}
  • id: 44739310
    {'hecke_orbit_code': 22518822804128112, 'n': 70, 'trace_an': 0}
  • id: 44739311
    {'hecke_orbit_code': 22518822804128112, 'n': 71, 'trace_an': 52}
  • id: 44739312
    {'hecke_orbit_code': 22518822804128112, 'n': 72, 'trace_an': 0}
  • id: 44739313
    {'hecke_orbit_code': 22518822804128112, 'n': 73, 'trace_an': 32}
  • id: 44739314
    {'hecke_orbit_code': 22518822804128112, 'n': 74, 'trace_an': 0}
  • id: 44739315
    {'hecke_orbit_code': 22518822804128112, 'n': 75, 'trace_an': -3}
  • id: 44739316
    {'hecke_orbit_code': 22518822804128112, 'n': 76, 'trace_an': 0}
  • id: 44739317
    {'hecke_orbit_code': 22518822804128112, 'n': 77, 'trace_an': -21}
  • id: 44739318
    {'hecke_orbit_code': 22518822804128112, 'n': 78, 'trace_an': 0}
  • id: 44739319
    {'hecke_orbit_code': 22518822804128112, 'n': 79, 'trace_an': -54}
  • id: 44739320
    {'hecke_orbit_code': 22518822804128112, 'n': 80, 'trace_an': 0}
  • id: 44739321
    {'hecke_orbit_code': 22518822804128112, 'n': 81, 'trace_an': 3}
  • id: 44739322
    {'hecke_orbit_code': 22518822804128112, 'n': 82, 'trace_an': 0}
  • id: 44739323
    {'hecke_orbit_code': 22518822804128112, 'n': 83, 'trace_an': -70}
  • id: 44739324
    {'hecke_orbit_code': 22518822804128112, 'n': 84, 'trace_an': 0}
  • id: 44739325
    {'hecke_orbit_code': 22518822804128112, 'n': 85, 'trace_an': -8}
  • id: 44739326
    {'hecke_orbit_code': 22518822804128112, 'n': 86, 'trace_an': 0}
  • id: 44739327
    {'hecke_orbit_code': 22518822804128112, 'n': 87, 'trace_an': -33}
  • id: 44739328
    {'hecke_orbit_code': 22518822804128112, 'n': 88, 'trace_an': 0}
  • id: 44739329
    {'hecke_orbit_code': 22518822804128112, 'n': 89, 'trace_an': 77}
  • id: 44739330
    {'hecke_orbit_code': 22518822804128112, 'n': 90, 'trace_an': 0}
  • id: 44739331
    {'hecke_orbit_code': 22518822804128112, 'n': 91, 'trace_an': -26}
  • id: 44739332
    {'hecke_orbit_code': 22518822804128112, 'n': 92, 'trace_an': 0}
  • id: 44739333
    {'hecke_orbit_code': 22518822804128112, 'n': 93, 'trace_an': 82}
  • id: 44739334
    {'hecke_orbit_code': 22518822804128112, 'n': 94, 'trace_an': 0}
  • id: 44739335
    {'hecke_orbit_code': 22518822804128112, 'n': 95, 'trace_an': -21}
  • id: 44739336
    {'hecke_orbit_code': 22518822804128112, 'n': 96, 'trace_an': 0}
  • id: 44739337
    {'hecke_orbit_code': 22518822804128112, 'n': 97, 'trace_an': 31}
  • id: 44739338
    {'hecke_orbit_code': 22518822804128112, 'n': 98, 'trace_an': 0}
  • id: 44739339
    {'hecke_orbit_code': 22518822804128112, 'n': 99, 'trace_an': -201}
  • id: 44739340
    {'hecke_orbit_code': 22518822804128112, 'n': 100, 'trace_an': 0}